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Yi-Ming Wei

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

  1. Jiayu Wang & Ke Wang & Xunpeng Shi & Yi-Ming Wei, 2019. "Spatial heterogeneity and driving forces of environmental productivity growth in China: Would it help to switch pollutant discharge fees to environmental taxes?," CEEP-BIT Working Papers 123, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.

    Cited by:

    1. Susheng Wang & Gang Chen & Xue Han, 2021. "An Analysis of the Impact of the Emissions Trading System on the Green Total Factor Productivity Based on the Spatial Difference-in-Differences Approach: The Case of China," IJERPH, MDPI, vol. 18(17), pages 1-18, August.
    2. Xue Jin & Ussif Rashid Sumaila & Kedong Yin & Zhichao Qi, 2021. "Evaluation of the Policy Effect of China’s Environmental Interview System for Effective Air Quality Governance," IJERPH, MDPI, vol. 18(17), pages 1-20, August.
    3. Liu, Ailan & Dai, Sijia & Wang, Zhixuan, 2023. "Environmental protection tax on enterprise environmental, social and governance performance: A multi-perspective analysis based on financing constraints," Journal of Asian Economics, Elsevier, vol. 89(C).
    4. Wen, Lanjiao & Chatalova, Lioudmila & Gao, Xin & Zhang, Anlu, 2021. "Reduction of carbon emissions through resource-saving and environment-friendly regional economic integration: Evidence from Wuhan metropolitan area, China," Technological Forecasting and Social Change, Elsevier, vol. 166(C).
    5. Zhong, Mei-Rui & Xiao, Shun-Li & Zou, Han & Zhang, Yi-Jun & Song, Yi, 2021. "The effects of technical change on carbon intensity in China’s non-ferrous metal industry," Resources Policy, Elsevier, vol. 73(C).
    6. Chen, Xiang & Chen, Yong & Huang, Wenli & Zhang, Xuping, 2023. "A new Malmquist-type green total factor productivity measure: An application to China," Energy Economics, Elsevier, vol. 117(C).
    7. Chen, Shanshan & Zhang, Ruchuan & Li, Peiwen & Li, Aijun, 2023. "How to improve the performance of China's energy-transport-economy-environment system: An analysis based on new strategy parallel-series input-output data envelopment analysis models," Energy, Elsevier, vol. 281(C).
    8. Cheng Peng & Lu Zhao & Liwen Liu & Jia Chen, 2023. "The Influence of Environmental Protection Tax Law on Urban Land Green Use Efficiency in China: The Nonlinear Moderating Effect of Tax Rate Increase," Sustainability, MDPI, vol. 15(16), pages 1-18, August.
    9. Wu, Haitao & Wang, Bingjie & Lu, Mingyue & Irfan, Muhammad & Miao, Xin & Luo, Shiyue & Hao, Yu, 2023. "The strategy to achieve zero‑carbon in agricultural sector: Does digitalization matter under the background of COP26 targets?," Energy Economics, Elsevier, vol. 126(C).
    10. Hisham Alidrisi & Mehmet Emin Aydin & Abdullah Omer Bafail & Reda Abdulal & Shoukath Ali Karuvatt, 2019. "Monitoring the Performance of Petrochemical Organizations in Saudi Arabia Using Data Envelopment Analysis," Mathematics, MDPI, vol. 7(6), pages 1-16, June.
    11. Weijia Zhuo, 2023. "Environmental regulation and corporate sustainability: Evidence from green innovation," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 30(4), pages 1723-1737, July.
    12. Djula Borozan, 2021. "Technical Efficiency and Productivity Change in the European Union with Undesirable Output Considered," Energies, MDPI, vol. 14(16), pages 1-15, August.
    13. Hao, Yu & Gai, Zhiqiang & Wu, Haitao, 2020. "How do resource misallocation and government corruption affect green total factor energy efficiency? Evidence from China," Energy Policy, Elsevier, vol. 143(C).
    14. Recep Ulucak & Danish & Yacouba Kassouri, 2020. "An assessment of the environmental sustainability corridor: Investigating the non‐linear effects of environmental taxation on CO2 emissions," Sustainable Development, John Wiley & Sons, Ltd., vol. 28(4), pages 1010-1018, July.
    15. Ke Wang & Jiayu Wang & Klaus Hubacek & Zhifu Mi & Yi‐Ming Wei, 2020. "A cost–benefit analysis of the environmental taxation policy in China: A frontier analysis‐based environmentally extended input–output optimization method," Journal of Industrial Ecology, Yale University, vol. 24(3), pages 564-576, June.
    16. Lingxiao Zhao & Yunpeng Tang & Yan Liu, 2023. "How Does Environmental Tax Influence the Scale and Efficiency of Green Investment among China’s Heavily Polluting Enterprises?," Sustainability, MDPI, vol. 15(20), pages 1-26, October.
    17. Zhang, Wei & Li, Jing & Li, Guoxiang & Guo, Shucen, 2020. "Emission reduction effect and carbon market efficiency of carbon emissions trading policy in China," Energy, Elsevier, vol. 196(C).
    18. Zheng, Shiming & Yao, Rongrong & Zou, Ke, 2022. "Provincial environmental inequality in China: Measurement, influence, and policy instrument choice," Ecological Economics, Elsevier, vol. 200(C).
    19. Xie, Peijun & Jamaani, Fouad, 2022. "Does green innovation, energy productivity and environmental taxes limit carbon emissions in developed economies: Implications for sustainable development," Structural Change and Economic Dynamics, Elsevier, vol. 63(C), pages 66-78.
    20. Weijiang Liu & Tingting Liu, 2022. "Exploring the Impact and Path of Environmental Protection Tax on Different Air Pollutant Emissions," IJERPH, MDPI, vol. 19(8), pages 1-14, April.
    21. He, Yu & Zhu, Xiaobo & Zheng, Huan, 2022. "The influence of environmental protection tax law on total factor productivity: Evidence from listed firms in China," Energy Economics, Elsevier, vol. 113(C).
    22. Zhai, Xueqi & An, Yunfei, 2021. "The relationship between technological innovation and green transformation efficiency in China: An empirical analysis using spatial panel data," Technology in Society, Elsevier, vol. 64(C).
    23. Hua, Cheng & Wang, Ke, 2023. "Multi-factor productivity growth with natural capital and undesirable output: A measurement for OECD and G20 countries," Innovation and Green Development, Elsevier, vol. 2(2).
    24. Wang, Yizhong & Jeong, Sujong & Hang, Ye & Wang, Qunwei, 2024. "Multi-sector environmental efficiency and productivity: A general Leontief optimization method," Omega, Elsevier, vol. 126(C).

  2. Bangzhu Zhu & Shunxin Ye & Minxing Jiang & Ping Wang & Zhanchi Wu & Rui Xie & Julien Chevallier & Yi-Ming Wei, 2019. "Achieving the carbon intensity target of China: A least squares support vector machine with mixture kernel function approach," Post-Print halshs-04250189, HAL.

    Cited by:

    1. Longyu Shi & Fengmei Yang & Lijie Gao, 2020. "The Allocation of Carbon Intensity Reduction Target by 2030 among Cities in China," Energies, MDPI, vol. 13(22), pages 1-14, November.
    2. Gao, Mingyun & Yang, Honglin & Xiao, Qinzi & Goh, Mark, 2022. "A novel method for carbon emission forecasting based on Gompertz's law and fractional grey model: Evidence from American industrial sector," Renewable Energy, Elsevier, vol. 181(C), pages 803-819.
    3. Pan, Xiongfeng & Xu, Haitao & Feng, Shenghan, 2022. "The economic and environment impacts of energy intensity target constraint: Evidence from low carbon pilot cities in China," Energy, Elsevier, vol. 261(PA).
    4. Keke Wang & Dongxiao Niu & Min Yu & Yi Liang & Xiaolong Yang & Jing Wu & Xiaomin Xu, 2021. "Analysis and Countermeasures of China’s Green Electric Power Development," Sustainability, MDPI, vol. 13(2), pages 1-22, January.
    5. Wang, Bingqing & Li, Yongping & Huang, Guohe & Gao, Pangpang & Liu, Jing & Wen, Yizhuo, 2023. "Development of an integrated BLSVM-MFA method for analyzing renewable power-generation potential under climate change: A case study of Xiamen," Applied Energy, Elsevier, vol. 337(C).
    6. Chen, Ying & Koch, Thorsten & Zakiyeva, Nazgul & Zhu, Bangzhu, 2020. "Modeling and forecasting the dynamics of the natural gas transmission network in Germany with the demand and supply balance constraint," Applied Energy, Elsevier, vol. 278(C).
    7. Sun, Wei & Zhang, Junjian, 2022. "A novel carbon price prediction model based on optimized least square support vector machine combining characteristic-scale decomposition and phase space reconstruction," Energy, Elsevier, vol. 253(C).
    8. Fang, Guochang & Gao, Zhengye & Tian, Lixin & Fu, Min, 2022. "What drives urban carbon emission efficiency? – Spatial analysis based on nighttime light data," Applied Energy, Elsevier, vol. 312(C).
    9. Ruixia Suo & Qi Wang & Qiutong Han, 2024. "Driver Analysis and Integrated Prediction of Carbon Emissions in China Using Machine Learning Models and Empirical Mode Decomposition," Mathematics, MDPI, vol. 12(14), pages 1-16, July.
    10. Choi, Yosoon & Nguyen, Hoang & Bui, Xuan-Nam & Nguyen-Thoi, Trung, 2022. "Optimization of haulage-truck system performance for ore production in open-pit mines using big data and machine learning-based methods," Resources Policy, Elsevier, vol. 75(C).
    11. Niu, Dongxiao & Ji, Zhengsen & Li, Wanying & Xu, Xiaomin & Liu, Da, 2021. "Research and application of a hybrid model for mid-term power demand forecasting based on secondary decomposition and interval optimization," Energy, Elsevier, vol. 234(C).
    12. Zhou, Yanting & Wang, Yanan & Wang, Kai & Kang, Le & Peng, Fei & Wang, Licheng & Pang, Jinbo, 2020. "Hybrid genetic algorithm method for efficient and robust evaluation of remaining useful life of supercapacitors," Applied Energy, Elsevier, vol. 260(C).
    13. Hui Huang & Xiaoli Yan & Shizhong Song & Yingying Du & Yanlei Guo, 2020. "An Economic and Technology Analysis of a New High-Efficiency Biomass Cogeneration System: A Case Study in DC County, China," Energies, MDPI, vol. 13(15), pages 1-21, August.
    14. Lin, Boqiang & Chen, Xing, 2020. "How technological progress affects input substitution and energy efficiency in China: A case of the non-ferrous metals industry," Energy, Elsevier, vol. 206(C).
    15. Song, Chao & Wang, Tao & Chen, Xiaohong & Shao, Quanxi & Zhang, Xianqi, 2023. "Ensemble framework for daily carbon dioxide emissions forecasting based on the signal decomposition–reconstruction model," Applied Energy, Elsevier, vol. 345(C).

  3. Yujiao Xian & Kexin Yang & Ke Wang & Yi-Ming Wei & Zhimin Huang, 2019. "Cost-environment efficiency analysis of construction industry in China: A materials balance approach," CEEP-BIT Working Papers 122, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.

    Cited by:

    1. Nikos Chatzistamoulou & Phoebe Koundouri, 2020. "Environmental Efficiency, Productive Performance and Spillover Effects under heterogeneous Environmental Awareness Regimes," DEOS Working Papers 2013, Athens University of Economics and Business.
    2. Haiyan Duan & Shipei Zhang & Siying Duan & Weicheng Zhang & Zhiyuan Duan & Shuo Wang & Junnian Song & Xian’en Wang, 2019. "Carbon Emissions Peak Prediction and the Reduction Pathway in Buildings during Operation in Jilin Province Based on LEAP," Sustainability, MDPI, vol. 11(17), pages 1-23, August.
    3. Qi Wang & Junqi Liu, 2023. "Demand-side and traditional environmental regulations in green construction: the moderating role of CNSC and SOE intensity," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(7), pages 6897-6938, July.
    4. Camanho, Ana Santos & Silva, Maria Conceicao & Piran, Fabio Sartori & Lacerda, Daniel Pacheco, 2024. "A literature review of economic efficiency assessments using Data Envelopment Analysis," European Journal of Operational Research, Elsevier, vol. 315(1), pages 1-18.
    5. Nassani, Abdelmohsen A. & Awan, Usama & Zaman, Khalid & Hyder, Shabir & Aldakhil, Abdullah Mohammed & Abro, Muhammad Moinuddin Qazi, 2019. "Management of natural resources and material pricing: Global evidence," Resources Policy, Elsevier, vol. 64(C).
    6. Xiang Deng & Xiang Cheng & Jing Gu & Zeshui Xu, 2021. "An Innovative Indicator System and Group Decision Framework for Assessing Sustainable Development Enterprises," Group Decision and Negotiation, Springer, vol. 30(6), pages 1201-1238, December.
    7. Wen, Quan & Hong, Jingke & Liu, Guiwen & Xu, Pengpeng & Tang, Miaohan & Li, Zhongfu, 2020. "Regional efficiency disparities in China’s construction sector: A combination of multiregional input–output and data envelopment analyses," Applied Energy, Elsevier, vol. 257(C).

  4. Bangzhu Zhu & Runzhi Pang & Julien Chevallier & Yi-Ming Wei & Dinh-Tri Vo, 2019. "Including intangible costs into the cost-of-illness approach: a method refinement illustrated based on the PM2.5 economic burden in China," Working Papers 2019-010, Department of Research, Ipag Business School.

    Cited by:

    1. Frida Schain & Nurgul Batyrbekova & Johan Liwing & Simona Baculea & Thomas Webb & Mats Remberger & Jonas Mattsson, 2021. "Real-world study of direct medical and indirect costs and time spent in healthcare in patients with chronic graft versus host disease," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 22(1), pages 169-180, February.
    2. Changyi Liang & Jing Zhao & Weibiao Ma, 2024. "Urban Spatial Development Mode and Haze Pollution in China: From the Perspective of Polycentricity," Sustainability, MDPI, vol. 16(18), pages 1-17, September.
    3. Castells-Quintana, David & Dienesch, Elisa & Krause, Melanie, 2021. "Air pollution in an urban world: A global view on density, cities and emissions," Ecological Economics, Elsevier, vol. 189(C).

  5. Ke Wang & Zhifu Mi & Yi-Ming Wei, 2018. "Will pollution taxes improve joint ecological and economic efficiency of thermal power industry in China? A DEA based materials balance approach," CEEP-BIT Working Papers 114, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.

    Cited by:

    1. Yuanhong Hu & Sheng Sun & Yixin Dai, 2021. "Environmental regulation, green innovation, and international competitiveness of manufacturing enterprises in China: From the perspective of heterogeneous regulatory tools," PLOS ONE, Public Library of Science, vol. 16(3), pages 1-28, March.
    2. Wang, Ke & Yang, Kexin & Wei, Yi-Ming & Zhang, Chi, 2018. "Shadow prices of direct and overall carbon emissions in China’s construction industry: A parametric directional distance function-based sensitive estimation," Structural Change and Economic Dynamics, Elsevier, vol. 47(C), pages 180-193.
    3. Zhongfei Chen & Stavros Kourtzidis & Panayiotis Tzeremes & Nickolaos Tzeremes, 2022. "A robust network DEA model for sustainability assessment: an application to Chinese Provinces," Operational Research, Springer, vol. 22(1), pages 235-262, March.
    4. Chu, Junfei & Shao, Caifeng & Emrouznejad, Ali & Wu, Jie & Yuan, Zhe, 2021. "Performance evaluation of organizations considering economic incentives for emission reduction: A carbon emission permit trading approach," Energy Economics, Elsevier, vol. 101(C).
    5. Ke Wang & Jiayu Wang & Yi-Ming Wei & Chi Zhang, 2018. "A novel dataset of emission abatement sector extended input-output table for environmental policy analysis," CEEP-BIT Working Papers 119, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
    6. Ying Feng & Ching-Cheng Lu & I-Fang Lin & An-Chi Yang & Po-Chun Lin, 2022. "Total Factor Energy Efficiency of China’s Thermal Power Industry," Sustainability, MDPI, vol. 14(1), pages 1-16, January.
    7. Xian, Yujiao & Wang, Ke & Wei, Yi-Ming & Huang, Zhimin, 2019. "Would China’s power industry benefit from nationwide carbon emission permit trading? An optimization model-based ex post analysis on abatement cost savings," Applied Energy, Elsevier, vol. 235(C), pages 978-986.
    8. Zhou, Dequn & Wu, Changsong & Wang, Qunwei & Zha, Donglan, 2019. "Response of scale and leverage of thermal power enterprises to renewable power enterprises in China," Applied Energy, Elsevier, vol. 251(C), pages 1-1.
    9. Lin, Boqiang & Xie, Yongjing, 2023. "Does digital transformation improve the operational efficiency of Chinese power enterprises?," Utilities Policy, Elsevier, vol. 82(C).
    10. Ke Wang & Jiayu Wang & Klaus Hubacek & Zhifu Mi & Yi‐Ming Wei, 2020. "A cost–benefit analysis of the environmental taxation policy in China: A frontier analysis‐based environmentally extended input–output optimization method," Journal of Industrial Ecology, Yale University, vol. 24(3), pages 564-576, June.
    11. Yunfei An & Dequn Zhou & Qunwei Wang, 2022. "Carbon emission reduction potential and its influencing factors in China’s coal-fired power industry: a cost optimization and decomposition analysis," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(3), pages 3619-3639, March.
    12. Li, Feng & Zhang, Danlu & Zhang, Jinyu & Kou, Gang, 2022. "Measuring the energy production and utilization efficiency of Chinese thermal power industry with the fixed-sum carbon emission constraint," International Journal of Production Economics, Elsevier, vol. 252(C).
    13. Yujiao Xian & Ke Wang & Yi-Ming Wei & Zhimin Huang, 2018. "Would China¡¯s power industry benefit from nationwide carbon emission permit trading? An optimization model-based ex post analysis on abatement cost savings," CEEP-BIT Working Papers 121, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
    14. Hampf, Benjamin & Rødseth, Kenneth Løvold, 2019. "Environmental efficiency measurement with heterogeneous input quality: A nonparametric analysis of U.S. power plants," Energy Economics, Elsevier, vol. 81(C), pages 610-625.

  6. Yujiao Xian & Ke Wang & Yi-Ming Wei & Zhimin Huang, 2018. "Would China¡¯s power industry benefit from nationwide carbon emission permit trading? An optimization model-based ex post analysis on abatement cost savings," CEEP-BIT Working Papers 121, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.

    Cited by:

    1. Junwu Wang & Yinghui Song & Mao Li & Cong Yuan & Feng Guo, 2022. "Study on Low-Carbon Technology Innovation Strategies through Government–University–Enterprise Cooperation under Carbon Trading Policy," Sustainability, MDPI, vol. 14(15), pages 1-26, July.

  7. Yujiao Xian & Ke Wang & Xunpeng Shi & Chi Zhang & Yi-Ming Wei & Zhimin Huang, 2018. "Carbon emissions intensity reduction target for China¡¯s power industry: An efficiency and productivity perspective," CEEP-BIT Working Papers 117, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.

    Cited by:

    1. Wang, Ke & Yang, Kexin & Wei, Yi-Ming & Zhang, Chi, 2018. "Shadow prices of direct and overall carbon emissions in China’s construction industry: A parametric directional distance function-based sensitive estimation," Structural Change and Economic Dynamics, Elsevier, vol. 47(C), pages 180-193.
    2. Jian Liu & Qingshan Yang & Yu Zhang & Wen Sun & Yiming Xu, 2019. "Analysis of CO 2 Emissions in China’s Manufacturing Industry Based on Extended Logarithmic Mean Division Index Decomposition," Sustainability, MDPI, vol. 11(1), pages 1-28, January.
    3. Zhang, Ruchuan & Wei, Qian & Li, Aijun & Ren, LiYing, 2022. "Measuring efficiency and technology inequality of China's electricity generation and transmission system: A new approach of network Data Envelopment Analysis prospect cross-efficiency models," Energy, Elsevier, vol. 246(C).
    4. Christina Bampatsou & George Halkos, 2021. "Non-Parametric Computational Measures for the Analysis of Resource Productivity," Energies, MDPI, vol. 14(11), pages 1-14, May.
    5. Ran Wang & Hui Ci & Ting Zhang & Yuxin Tang & Jinyuan Wei & Hui Yang & Gefei Feng & Zhaojin Yan, 2023. "Spatial-Temporal Evolution Characteristics of Industrial Carbon Emissions in China’s Most Developed Provinces from 1998–2013: The Case of Guangdong," Energies, MDPI, vol. 16(5), pages 1-21, February.
    6. Ying Li & Yung-ho Chiu & Tai-Yu Lin, 2019. "Energy and Environmental Efficiency in Different Chinese Regions," Sustainability, MDPI, vol. 11(4), pages 1-26, February.
    7. Xie, Bai-Chen & Ni, Kang-Kang & O'Neill, Eoghan & Li, Hong-Zhou, 2021. "The scale effect in China's power grid sector from the perspective of malmquist total factor productivity analysis," Utilities Policy, Elsevier, vol. 69(C).
    8. Li-Ming Xue & Shuo Meng & Jia-Xing Wang & Lei Liu & Zhi-Xue Zheng, 2020. "Influential Factors Regarding Carbon Emission Intensity in China: A Spatial Econometric Analysis from a Provincial Perspective," Sustainability, MDPI, vol. 12(19), pages 1-26, October.
    9. Wei Sun & Hua Cai & Yuwei Wang, 2018. "Refined Laspeyres Decomposition-Based Analysis of Relationship between Economy and Electric Carbon Productivity from the Provincial Perspective—Development Mode and Policy," Energies, MDPI, vol. 11(12), pages 1-20, December.
    10. Zhang, Ping & Shi, XunPeng & Sun, YongPing & Cui, Jingbo & Shao, Shuai, 2019. "Have China's provinces achieved their targets of energy intensity reduction? Reassessment based on nighttime lighting data," Energy Policy, Elsevier, vol. 128(C), pages 276-283.
    11. Jiang, Wei & Sun, Yifei, 2023. "Which is the more important factor of carbon emission, coal consumption or industrial structure?," Energy Policy, Elsevier, vol. 176(C).
    12. Hisham Alidrisi & Mehmet Emin Aydin & Abdullah Omer Bafail & Reda Abdulal & Shoukath Ali Karuvatt, 2019. "Monitoring the Performance of Petrochemical Organizations in Saudi Arabia Using Data Envelopment Analysis," Mathematics, MDPI, vol. 7(6), pages 1-16, June.
    13. Jing Han & Xi Chen & Yawen Sun, 2021. "Technology or Institutions: Which Is the Source of Green Economic Growth in Chinese Cities?," Sustainability, MDPI, vol. 13(19), pages 1-20, October.
    14. Xian, Yujiao & Wang, Ke & Wei, Yi-Ming & Huang, Zhimin, 2019. "Would China’s power industry benefit from nationwide carbon emission permit trading? An optimization model-based ex post analysis on abatement cost savings," Applied Energy, Elsevier, vol. 235(C), pages 978-986.
    15. Jiang, Hong-Dian & Purohit, Pallav & Liang, Qiao-Mei & Liu, Li-Jing & Zhang, Yu-Fei, 2023. "Improving the regional deployment of carbon mitigation efforts by incorporating air-quality co-benefits: A multi-provincial analysis of China," Ecological Economics, Elsevier, vol. 204(PA).
    16. Ke Wang & Jiayu Wang & Klaus Hubacek & Zhifu Mi & Yi‐Ming Wei, 2020. "A cost–benefit analysis of the environmental taxation policy in China: A frontier analysis‐based environmentally extended input–output optimization method," Journal of Industrial Ecology, Yale University, vol. 24(3), pages 564-576, June.
    17. Zicheng Wang & Xiaoliang Zhou, 2023. "Can Innovation-Driven Policy Reduce China’s Carbon Emission Intensity?—A Quasi-Natural Experiment Based on the National Innovative City Pilot Policy," Sustainability, MDPI, vol. 15(5), pages 1-17, March.
    18. Xie, Li & Li, Zexin & Ye, Xiuhua & Jiang, Yanru, 2021. "Environmental regulation and energy investment structure: Empirical evidence from China's power industry," Technological Forecasting and Social Change, Elsevier, vol. 167(C).
    19. Ge Gao & Ke Wang & Chi Zhang & Yi-Ming Wei, 2019. "Synergistic effects of environmental regulations on carbon productivity growth in China’s major industrial sectors," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 95(1), pages 55-72, January.
    20. Chen, Bin & Jin, Yingmei, 2020. "Adjusting productivity measures for CO2 emissions control: Evidence from the provincial thermal power sector in China," Energy Economics, Elsevier, vol. 87(C).
    21. Zhang, Wei & Li, Jing & Li, Guoxiang & Guo, Shucen, 2020. "Emission reduction effect and carbon market efficiency of carbon emissions trading policy in China," Energy, Elsevier, vol. 196(C).
    22. Xuemei Jia & Qing Liu & Jiahao Feng & Yuru Li & Lijun Zhang, 2023. "The Induced Effects of Carbon Emissions for China’s Industry Digital Transformation," Sustainability, MDPI, vol. 15(16), pages 1-20, August.
    23. Xie, Qiwei & Xu, Qifan & Zhu, Da & Rao, Kaifeng & Dai, Qianzhi, 2020. "Fair allocation of wastewater discharge permits based on satisfaction criteria using data envelopment analysis," Utilities Policy, Elsevier, vol. 66(C).
    24. Wang, Keying & Wu, Meng & Sun, Yongping & Shi, Xunpeng & Sun, Ao & Zhang, Ping, 2019. "Resource abundance, industrial structure, and regional carbon emissions efficiency in China," Resources Policy, Elsevier, vol. 60(C), pages 203-214.
    25. Lijie Wei & Zhibao Wang, 2022. "Differentiation Analysis on Carbon Emission Efficiency and Its Factors at Different Industrialization Stages: Evidence from Mainland China," IJERPH, MDPI, vol. 19(24), pages 1-14, December.

  8. Bingdong Hou & Xin Tang & Chunbo Ma & Li Liu & Yi-Ming Wei & Hua Liao, 2018. "Cooking fuel choice in rural China: results from microdata," CEEP-BIT Working Papers 110, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.

    Cited by:

    1. Vania Vigolo & Rezarta Sallaku & Federico Testa, 2018. "Drivers and Barriers to Clean Cooking: A Systematic Literature Review from a Consumer Behavior Perspective," Sustainability, MDPI, vol. 10(11), pages 1-21, November.
    2. Ebenezer Megbowon & Peter Mukarumbwa & Sola Ojo & Olawuyi Seyi Olalekan, 2018. "Household Cooking Energy Situation in Nigeria: Insight from Nigeria Malaria Indicator Survey 2015," International Journal of Energy Economics and Policy, Econjournals, vol. 8(6), pages 284-291.
    3. Jingwen Wu & Bingdong Hou & Ruoyu Ke & Yun-Fei Du & Ce Wang & Xiangzheng Li & Jiawei Cai & Tianqi Chen & Meixuan Teng & Jin Liu & Jin-Wei Wang & Hua Liao, 2018. "Residential fuel choice in the rural: A field research on two counties of North China," CEEP-BIT Working Papers 109, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
    4. Hongyun Han & Shu Wu, 2019. "Determinants of the Behavioral Lock-in of Rural Residents’ Direct Biomass Energy Consumption in China," Sustainability, MDPI, vol. 11(2), pages 1-25, January.
    5. Min He & Pei Liu & Linwei Ma & Chinhao Chong & Xu Li & Shizhong Song & Zheng Li & Weidou Ni, 2018. "A Systems Analysis of the Development Status and Trends of Rural Household Energy in China," Energies, MDPI, vol. 11(7), pages 1-23, July.
    6. Ovikuomagbe Oyedele, 2023. "Determinants of Household Cooking Energy Choice: Are Such Choices Influenced by Health Outcomes?," International Journal of Energy Economics and Policy, Econjournals, vol. 13(2), pages 553-564, March.

  9. Bangzhu Zhu & Shujiao Ma & Rui Xie & Julien Chevallier & Yi-Ming Wei, 2018. "Hilbert Spectra and Empirical Mode Decomposition: A Multiscale Event Analysis Method to Detect the Impact of Economic Crises on the European Carbon Market," Post-Print halshs-04250160, HAL.

    Cited by:

    1. Yaqi Wu & Chen Zhang & Po Yun & Dandan Zhu & Wei Cao & Zulfiqar Ali Wagan, 2021. "Time–frequency analysis of the interaction mechanism between European carbon and crude oil markets," Energy & Environment, , vol. 32(7), pages 1331-1357, November.
    2. Zhigui Guan & Yuanjun Zhao & Guojing Geng, 2022. "The Risk Early-Warning Model of Financial Operation in Family Farms Based on Back Propagation Neural Network Methods," Computational Economics, Springer;Society for Computational Economics, vol. 60(4), pages 1221-1244, December.
    3. Christos Alexakis & Michael Dowling & Konstantinos Eleftheriou & Michael Polemis, 2021. "Textual Machine Learning: An Application to Computational Economics Research," Post-Print hal-03182910, HAL.
    4. Zhu, Bangzhu & Huang, Liqing & Yuan, Lili & Ye, Shunxin & Wang, Ping, 2020. "Exploring the risk spillover effects between carbon market and electricity market: A bidimensional empirical mode decomposition based conditional value at risk approach," International Review of Economics & Finance, Elsevier, vol. 67(C), pages 163-175.
    5. Xueqing Kang & Farman Ullah Khan & Raza Ullah & Muhammad Arif & Shams Ur Rehman & Farid Ullah, 2021. "Does Foreign Direct Investment Influence Renewable Energy Consumption? Empirical Evidence from South Asian Countries," Energies, MDPI, vol. 14(12), pages 1-15, June.
    6. Zhang, Dingxuan & Sun, Yuying & Duan, Hongbo & Hong, Yongmiao & Wang, Shouyang, 2023. "Speculation or currency? Multi-scale analysis of cryptocurrencies—The case of Bitcoin," International Review of Financial Analysis, Elsevier, vol. 88(C).
    7. Helong Li & Guanglong Xu & Qin Huang & Rubin Ruan & Weiguo Zhang, 2024. "COVID-19 Impact on Stock Markets: A Multiscale Event Analysis Perspective," Computational Economics, Springer;Society for Computational Economics, vol. 63(3), pages 1191-1212, March.
    8. Kai Wu & E Bai & Hejie Zhu & Zhijiang Lu & Hongxin Zhu, 2023. "Can Green Credit Policy Promote the High-Quality Development of China’s Heavily-Polluting Enterprises?," Sustainability, MDPI, vol. 15(11), pages 1-27, May.
    9. Zhao, Yuhuan & Shi, Qiaoling & li, Hao & Qian, Zhiling & Zheng, Lu & Wang, Song & He, Yizhang, 2022. "Simulating the economic and environmental effects of integrated policies in energy-carbon-water nexus of China," Energy, Elsevier, vol. 238(PA).
    10. Bashir Muhammad & Sher Khan, 2021. "Understanding the relationship between natural resources, renewable energy consumption, economic factors, globalization and CO2 emissions in developed and developing countries," Natural Resources Forum, Blackwell Publishing, vol. 45(2), pages 138-156, May.

  10. Ke Wang & Jiayu Wang & Yi-Ming Wei & Chi Zhang, 2018. "A novel dataset of emission abatement sector extended input-output table for environmental policy analysis," CEEP-BIT Working Papers 119, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.

    Cited by:

    1. Wang, Jiayu & Ji, Chang-Jing & Liu, Yu & Shan, Yuli & Hubacek, Klaus & Wei, Yi-Ming & Wang, Ke, 2024. "Re-investigating the shared responsibility for trade-embodied carbon emissions," Ecological Economics, Elsevier, vol. 220(C).
    2. Wu, Wanlu & Cheng, Yuanyuan & Lin, Xiqiao & Yao, Xin, 2019. "How does the implementation of the Policy of Electricity Substitution influence green economic growth in China?," Energy Policy, Elsevier, vol. 131(C), pages 251-261.
    3. Yubing Wang & Kai Zhu & Xiao Xiong & Jianuo Yin & Haoran Yan & Yuan Zhang & Hai Liu, 2022. "Assessment of the Ecological Compensation Standards for Cross-Basin Water Diversion Projects from the Perspective of Main Headwater and Receiver Areas," IJERPH, MDPI, vol. 20(1), pages 1-31, December.
    4. Anh Quynh Tang & Takeshi Mizunoya, 2021. "A Study on Selecting Greenhouse Gas Reduction Options: A Simulation Analysis for Vietnam," Sustainability, MDPI, vol. 13(24), pages 1-22, December.
    5. Cristian Mardones & Darling Silva, 2023. "Evaluation of Non-survey Methods for the Construction of Regional Input–Output Matrices When There is Partial Historical Information," Computational Economics, Springer;Society for Computational Economics, vol. 61(3), pages 1173-1205, March.
    6. Liu, Lirong & Huang, Guohe & Baetz, Brian & Guan, Yuru & Zhang, Kaiqiang, 2020. "Multi-Dimensional Hypothetical Fuzzy Risk Simulation model for Greenhouse Gas mitigation policy development," Applied Energy, Elsevier, vol. 261(C).
    7. Jiekun Song & Lina Jiang & Zeguo He & Zhicheng Liu & Xueli Leng, 2022. "Characteristics Analysis and Identification of Key Sectors of Air Pollutant Emissions in China from the Perspective of Complex Metabolic Network," IJERPH, MDPI, vol. 19(15), pages 1-28, July.
    8. Liu, Lirong & Huang, Guohe & Baetz, Brian & Huang, Charley Z. & Zhang, Kaiqiang, 2019. "Integrated GHG emissions and emission relationships analysis through a disaggregated ecologically-extended input-output model; A case study for Saskatchewan, Canada," Renewable and Sustainable Energy Reviews, Elsevier, vol. 106(C), pages 97-109.
    9. Cristian Mardones & Darling Silva, 2021. "Estimation of regional input coefficients and output multipliers for the regions of Chile," Papers in Regional Science, Wiley Blackwell, vol. 100(4), pages 875-889, August.
    10. Wang, Yizhong & Hang, Ye & Jeong, Sujong & Wang, Qunwei, 2023. "Intersectoral transfers and drivers of net CO2 emissions in China incorporating sources and sinks," Technological Forecasting and Social Change, Elsevier, vol. 195(C).

  11. Yi-Ming Wei & Jin-Wei Wang & Tianqi Chen & Bi-Ying Yu & Hua Liao, 2018. "Frontiers of Low-Carbon Technologies: Results from Bibliographic Coupling with Sliding Window," CEEP-BIT Working Papers 116, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.

    Cited by:

    1. Kang, Jia-Ning & Wei, Yi-Ming & Liu, Lan-cui & Wang, Jin-Wei, 2021. "Observing technology reserves of carbon capture and storage via patent data: Paving the way for carbon neutral," Technological Forecasting and Social Change, Elsevier, vol. 171(C).
    2. Guo, Jian & Zhong, Minghao & Chen, Shuran, 2022. "Analysis and simulation of BECCS vertical integration model in China based on evolutionary game and system dynamics," Energy, Elsevier, vol. 252(C).
    3. Wang, Xiaoli & Daim, Tugrul & Huang, Lucheng & Li, Zhiqiang & Shaikh, Ruqia & Kassi, Diby Francois, 2022. "Monitoring the development trend and competition status of high technologies using patent analysis and bibliographic coupling: The case of electronic design automation technology," Technology in Society, Elsevier, vol. 71(C).
    4. Zhao, Tian & Liu, Zhixin, 2019. "A novel analysis of carbon capture and storage (CCS) technology adoption: An evolutionary game model between stakeholders," Energy, Elsevier, vol. 189(C).

  12. Ge Gao & Ke Wang & Chi Zhang & Yi-Ming Wei, 2018. "Synergistic Effects of Environmental Regulations on Carbon Productivity Growth in China's Major Industrial Sectors," CEEP-BIT Working Papers 118, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.

    Cited by:

    1. Liang Liu & Mengyue Li & Xiujuan Gong & Pan Jiang & Ruifeng Jin & Yuhan Zhang, 2022. "Influence Mechanism of Different Environmental Regulations on Carbon Emission Efficiency," IJERPH, MDPI, vol. 19(20), pages 1-19, October.
    2. Christina Bampatsou & George Halkos, 2021. "Non-Parametric Computational Measures for the Analysis of Resource Productivity," Energies, MDPI, vol. 14(11), pages 1-14, May.
    3. Bin Fan & Mingyang Li, 2022. "The Effect of Heterogeneous Environmental Regulations on Carbon Emission Efficiency of the Grain Production Industry: Evidence from China’s Inter-Provincial Panel Data," Sustainability, MDPI, vol. 14(21), pages 1-27, November.
    4. Zhang, Xiaoqian & Yao, Shujie & Zheng, Weiwei & Fang, Jing, 2023. "On industrial agglomeration and industrial carbon productivity --- impact mechanism and nonlinear relationship," Energy, Elsevier, vol. 283(C).
    5. Osman, Ibrahim H. & Zablith, Fouad, 2021. "Re-evaluating electronic government development index to monitor the transformation toward achieving sustainable development goals," Journal of Business Research, Elsevier, vol. 131(C), pages 426-440.
    6. Zhihua Ding & Jy S. Wu & Xunpeng Shi & Qunwei Wang, 2019. "Energy economy system and risk management: a contribution toward China meeting its goals for the Paris climate accord," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 95(1), pages 1-5, January.
    7. Ling-Yun He & Hong-Zhen Zhang, 2021. "Spillover or crowding out? The effects of environmental regulation on residents’ willingness to pay for environmental protection," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 105(1), pages 611-630, January.

  13. Ke Wang & Kexin Yang & Yi-Ming Wei & Chi Zhang, 2018. "Shadow prices of direct and overall carbon emissions in China¡¯s construction industry: a parametric directional distance function-based sensitive estimation," CEEP-BIT Working Papers 120, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.

    Cited by:

    1. Chen, Zhenling & Zhang, Xiaoling & Ni, Guohua, 2020. "Decomposing capacity utilization under carbon dioxide emissions reduction constraints in data envelopment analysis: An application to Chinese regions," Energy Policy, Elsevier, vol. 139(C).
    2. Xilian Wang & Lihang Qu & Yueying Wang & Helin Xie, 2023. "Dynamic Scenario Predictions of Peak Carbon Emissions in China’s Construction Industry," Sustainability, MDPI, vol. 15(7), pages 1-19, March.
    3. Li, Dezhi & Huang, Guanying & Zhu, Shiyao & Chen, Long & Wang, Jiangbo, 2021. "How to peak carbon emissions of provincial construction industry? Scenario analysis of Jiangsu Province," Renewable and Sustainable Energy Reviews, Elsevier, vol. 144(C).
    4. Cui, Lixin & Dong, Ruxue & Mu, Yunguo & Shen, Zhiyang & Xu, Jiatong, 2022. "How policy preferences affect the carbon shadow price in the OECD," Applied Energy, Elsevier, vol. 311(C).
    5. Onat, Nuri Cihat & Kucukvar, Murat, 2020. "Carbon footprint of construction industry: A global review and supply chain analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 124(C).
    6. Sala-Garrido, Ramon & Mocholi-Arce, Manuel & Molinos-Senante, Maria & Maziotis, Alexandros, 2021. "Assessing the marginal cost of reducing greenhouse gas emissions in the English and Welsh water and sewerage industry: A parametric approach," Utilities Policy, Elsevier, vol. 70(C).
    7. Zhang, Jingxiao & Jin, Weixing & Yang, Guo-liang & Li, Hui & Ke, Yongjian & Philbin, Simon Patrick, 2021. "Optimizing regional allocation of CO2 emissions considering output under overall efficiency," Socio-Economic Planning Sciences, Elsevier, vol. 77(C).
    8. Zhang, Ning & Huang, Xuhui & Qi, Chao, 2022. "The effect of environmental regulation on the marginal abatement cost of industrial firms: Evidence from the 11th Five-Year Plan in China," Energy Economics, Elsevier, vol. 112(C).

  14. Bangzhu Zhu & Minxing Jiang & Kefan Wang & Julien Chevallier & Ping Wang & Yi-Ming Wei, 2018. "On the road to China's 2020 carbon intensity target from the perspective of “double control”," Post-Print halshs-04250173, HAL.

    Cited by:

    1. Zhu, Bangzhu & Zhang, Mengfan & Huang, Liqing & Wang, Ping & Su, Bin & Wei, Yi-Ming, 2020. "Exploring the effect of carbon trading mechanism on China's green development efficiency: A novel integrated approach," Energy Economics, Elsevier, vol. 85(C).
    2. Yang, Zhenbing & Shi, Qingquan & Lv, Xiangqiu & Shi, Qi, 2022. "Heterogeneous low-carbon targets and energy structure optimization: Does stricter carbon regulation really matter?," Structural Change and Economic Dynamics, Elsevier, vol. 60(C), pages 329-343.
    3. Wu, C.B. & Guan, P.B. & Zhong, L.N. & Lv, J. & Hu, X.F. & Huang, G.H. & Li, C.C., 2020. "An optimized low-carbon production planning model for power industry in coal-dependent regions - A case study of Shandong, China," Energy, Elsevier, vol. 192(C).
    4. Wang, Juan & Hu, Mingming & Tukker, Arnold & Rodrigues, João F.D., 2019. "The impact of regional convergence in energy-intensive industries on China's CO2 emissions and emission goals," Energy Economics, Elsevier, vol. 80(C), pages 512-523.
    5. Zhu, Junpeng & Lin, Boqiang, 2020. "Convergence analysis of city-level energy intensity in China," Energy Policy, Elsevier, vol. 139(C).
    6. Yang, Xue & Su, Bin, 2019. "Impacts of international export on global and regional carbon intensity," Applied Energy, Elsevier, vol. 253(C), pages 1-1.
    7. Yuan, Yongna & Duan, Hongbo & Tsvetanov, Tsvetan G., 2020. "Synergizing China's energy and carbon mitigation goals: General equilibrium modeling and policy assessment," Energy Economics, Elsevier, vol. 89(C).
    8. Zhou, Xiaoyong & Zhou, Dequn & Wang, Qunwei & Su, Bin, 2020. "Who shapes China's carbon intensity and how? A demand-side decomposition analysis," Energy Economics, Elsevier, vol. 85(C).
    9. Ning, Yadong & Chen, Kunkun & Zhang, Boya & Ding, Tao & Guo, Fei & Zhang, Ming, 2020. "Energy conservation and emission reduction path selection in China: A simulation based on Bi-Level multi-objective optimization model," Energy Policy, Elsevier, vol. 137(C).
    10. Jin, Zhida & Li, Zheng & Yang, Mian, 2022. "Producer services development and manufacturing carbon intensity: Evidence from an international perspective," Energy Policy, Elsevier, vol. 170(C).

  15. Minxing Jiang & Bangzhu Zhu & Yi-Ming Wei & Julien Chevallier & Kaijian He, 2018. "An intertemporal carbon emissions trading system with cap adjustment and path control," Post-Print halshs-04250186, HAL.

    Cited by:

    1. Li, Zhimin & Pan, Yanchun & Yang, Wen & Ma, Jianhua & Zhou, Ming, 2021. "Effects of government subsidies on green technology investment and green marketing coordination of supply chain under the cap-and-trade mechanism," Energy Economics, Elsevier, vol. 101(C).
    2. Kangkang Zhang & Deyi Xu & Shiran Li & Na Zhou & Jinhui Xiong, 2019. "Has China’s Pilot Emissions Trading Scheme Influenced the Carbon Intensity of Output?," IJERPH, MDPI, vol. 16(10), pages 1-18, May.
    3. Chen, Xing & Lin, Boqiang, 2021. "Towards carbon neutrality by implementing carbon emissions trading scheme: Policy evaluation in China," Energy Policy, Elsevier, vol. 157(C).
    4. Tang, Ling & Wang, Haohan & Li, Ling & Yang, Kaitong & Mi, Zhifu, 2020. "Quantitative models in emission trading system research: A literature review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 132(C).
    5. Ying Tung Chan, 2019. "Optimal Environmental Tax Rate in an Open Economy with Labor Migration—An E-DSGE Model Approach," Sustainability, MDPI, vol. 11(19), pages 1-38, September.
    6. Wen Jiang & Wenfei Lu & Qianwen Xu, 2019. "Profit Distribution Model for Construction Supply Chain with Cap-and-Trade Policy," Sustainability, MDPI, vol. 11(4), pages 1-24, February.

  16. Weigang Zhao & Yunfei Cao & Bo Miao & Ke Wang & Yi-Ming Wei, 2018. "Impacts of shifting China¡¯s final energy consumption to electricity on CO2 emission reduction," CEEP-BIT Working Papers 115, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.

    Cited by:

    1. Chen, Zhenling & Zhao, Weigang & Zheng, Heyun, 2021. "Potential output gap in China's regional coal-fired power sector under the constraint of carbon emission reduction," Energy Policy, Elsevier, vol. 148(PA).
    2. Zhao, Jun & Dong, Kangyin & Dong, Xiucheng, 2024. "How does energy poverty eradication affect global carbon neutrality?," Renewable and Sustainable Energy Reviews, Elsevier, vol. 191(C).
    3. Chao Bao & Ruowen Liu, 2019. "Electricity Consumption Changes across China’s Provinces Using A Spatial Shift-Share Decomposition Model," Sustainability, MDPI, vol. 11(9), pages 1-15, April.
    4. Chen, Zhenling & Li, Jinkai & Zhao, Weigang & Yuan, Xiao-Chen & Yang, Guo-liang, 2019. "Undesirable and desirable energy congestion measurements for regional coal-fired power generation industry in China," Energy Policy, Elsevier, vol. 125(C), pages 122-134.
    5. Xinyu Wang & Yinsu Wang & Kui Zhou, 2024. "The Impact of Energy Poverty Alleviation on Carbon Emissions in Countries along the Belt and Road Initiative," Sustainability, MDPI, vol. 16(11), pages 1-21, May.
    6. Peng Yuelan & Muhammad Waqas Akbar & Zeenat Zia & Muhammad Imran Arshad, 2022. "Exploring the nexus between tax revenues, government expenditures, and climate change: empirical evidence from Belt and Road Initiative countries," Economic Change and Restructuring, Springer, vol. 55(3), pages 1365-1395, August.
    7. Wang, Yongpei & Yan, Qing & Yang, Jieru & Komonpipat, Supak & Zhang, Qian, 2024. "Can inter-provincial transmission reduce regional carbon emissions? Evidence from China," Energy Policy, Elsevier, vol. 184(C).
    8. Guang, Fengtao & Wen, Le & Sharp, Basil, 2022. "Energy efficiency improvements and industry transition: An analysis of China's electricity consumption," Energy, Elsevier, vol. 244(PA).
    9. Li, Yan & Feng, Tian-tian & Liu, Li-li & Zhang, Meng-xi, 2023. "How do the electricity market and carbon market interact and achieve integrated development?--A bibliometric-based review," Energy, Elsevier, vol. 265(C).
    10. Munir Ahmad & Heng Li & Muhammad Khalid Anser & Abdul Rehman & Zeeshan Fareed & Qingyou Yan & Gul Jabeen, 2021. "Are the intensity of energy use, land agglomeration, CO2 emissions, and economic progress dynamically interlinked across development levels?," Energy & Environment, , vol. 32(4), pages 690-721, June.
    11. César Berna-Escriche & Ángel Pérez-Navarro & Alberto Escrivá & Elías Hurtado & José Luis Muñoz-Cobo & María Cristina Moros, 2021. "Methodology and Application of Statistical Techniques to Evaluate the Reliability of Electrical Systems Based on the Use of High Variability Generation Sources," Sustainability, MDPI, vol. 13(18), pages 1-27, September.
    12. Dong, Qichen & Lin, Yongyi & Huang, Jieyu & Chen, Zhongfei, 2020. "Has urbanization accelerated PM2.5 emissions? An empirical analysis with cross-country data," China Economic Review, Elsevier, vol. 59(C).
    13. Khanna, Nina & Fridley, David & Zhou, Nan & Karali, Nihan & Zhang, Jingjing & Feng, Wei, 2019. "Energy and CO2 implications of decarbonization strategies for China beyond efficiency: Modeling 2050 maximum renewable resources and accelerated electrification impacts," Applied Energy, Elsevier, vol. 242(C), pages 12-26.
    14. Berna-Escriche, César & Rivera, Yago & Alvarez-Piñeiro, Lucas & Muñoz-Cobo, José Luis, 2024. "Best estimate plus uncertainty methodology for forecasting electrical balances in isolated grids: The decarbonized Canary Islands by 2040," Energy, Elsevier, vol. 294(C).

  17. Ke Wang & Yujiao Xian & Chia-Yen Lee & Yi-Ming Wei & Zhimin Huang, 2017. "On selecting directions for directional distance functions in a non-parametric framework: A review," CEEP-BIT Working Papers 99, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.

    Cited by:

    1. Wang, Ke & Yang, Kexin & Wei, Yi-Ming & Zhang, Chi, 2018. "Shadow prices of direct and overall carbon emissions in China’s construction industry: A parametric directional distance function-based sensitive estimation," Structural Change and Economic Dynamics, Elsevier, vol. 47(C), pages 180-193.
    2. Song, Yao-yao & Li, Jing-jing & Wang, Jin-li & Yang, Guo-liang & Chen, Zhenling, 2022. "Eco-efficiency of Chinese transportation industry: A DEA approach with non-discretionary input," Socio-Economic Planning Sciences, Elsevier, vol. 84(C).
    3. Chen, Zhenling & Zhang, Xiaoling & Ni, Guohua, 2020. "Decomposing capacity utilization under carbon dioxide emissions reduction constraints in data envelopment analysis: An application to Chinese regions," Energy Policy, Elsevier, vol. 139(C).
    4. Wirat Krasachat & Suthathip Yaisawarng, 2021. "Directional Distance Function Technical Efficiency of Chili Production in Thailand," Sustainability, MDPI, vol. 13(2), pages 1-18, January.
    5. Harald Dyckhoff & Rainer Souren, 2023. "Are important phenomena of joint production still being neglected by economic theory? A review of recent literature," Journal of Business Economics, Springer, vol. 93(6), pages 1015-1053, August.
    6. Shuguang Lin & Paul Rouse & Ying-Ming Wang & Lin Lin & Zhen-Quan Zheng, 2023. "Performance measurement of nonhomogeneous Hong Kong hospitals using directional distance functions," Health Care Management Science, Springer, vol. 26(2), pages 330-343, June.
    7. Arabmaldar, A. & Sahoo, B.K. & Ghiyasi, M., 2023. "A generalized robust data envelopment analysis model based on directional distance function," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 138962, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    8. Malin Song & Jianlin Wang & Jiajia Zhao & Tomas Baležentis & Zhiyang Shen, 2020. "Production and safety efficiency evaluation in Chinese coal mines: accident deaths as undesirable output," Annals of Operations Research, Springer, vol. 291(1), pages 827-845, August.
    9. Fangqing Wei & Junfei Chu & Jiayun Song & Feng Yang, 2019. "A cross-bargaining game approach for direction selection in the directional distance function," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 41(3), pages 787-807, September.
    10. Yujiao Xian & Ke Wang & Xunpeng Shi & Chi Zhang & Yi-Ming Wei & Zhimin Huang, 2018. "Carbon emissions intensity reduction target for China¡¯s power industry: An efficiency and productivity perspective," CEEP-BIT Working Papers 117, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
    11. Fusco, Elisa & Maggi, Bernardo & Rizzuto, Livia, 2022. "Alternative indicators for the evaluation of renewables in Europe: An efficiency approach," Renewable Energy, Elsevier, vol. 190(C), pages 48-65.
    12. Sepideh Kaffash & Reza Kazemi Matin & Mohammad Tajik, 2018. "A directional semi-oriented radial DEA measure: an application on financial stability and the efficiency of banks," Annals of Operations Research, Springer, vol. 264(1), pages 213-234, May.
    13. Sebastián Lozano & Narges Soltani, 2020. "A modified discrete Raiffa approach for efficiency assessment and target setting," Annals of Operations Research, Springer, vol. 292(1), pages 71-95, September.
    14. Shih-Heng Yu, 2019. "Benchmarking and Performance Evaluation Towards the Sustainable Development of Regions in Taiwan: A Minimum Distance-Based Measure with Undesirable Outputs in Additive DEA," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 144(3), pages 1323-1348, August.
    15. Yongjun Li & Xiyang Lei & Alec Morton, 2019. "Performance evaluation of nonhomogeneous hospitals: the case of Hong Kong hospitals," Health Care Management Science, Springer, vol. 22(2), pages 215-228, June.
    16. Sebastián Lozano & Narges Soltani & Akram Dehnokhalaji, 2020. "A compromise programming approach for target setting in DEA," Annals of Operations Research, Springer, vol. 288(1), pages 363-390, May.
    17. Jindal, Abhinav & Nilakantan, Rahul & Sinha, Avik, 2024. "CO2 emissions abatement costs and drivers for Indian thermal power industry," Energy Policy, Elsevier, vol. 184(C).
    18. Sebastián Lozano & Narges Soltani, 2018. "DEA target setting using lexicographic and endogenous directional distance function approaches," Journal of Productivity Analysis, Springer, vol. 50(1), pages 55-70, October.
    19. Amer Ait Sidhoum, 2023. "Assessing the contribution of farmers’ working conditions to productive efficiency in the presence of uncertainty, a nonparametric approach," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(8), pages 8601-8622, August.
    20. Romano, Giulia & Molinos-Senante, María & Carosi, Laura & Llanquileo-Melgarejo, Paula & Sala-Garrido, Ramón & Mocholi-Arce, Manuel, 2021. "Assessing the dynamic eco-efficiency of Italian municipalities by accounting for the ownership of the entrusted waste utilities," Utilities Policy, Elsevier, vol. 73(C).
    21. Chia-Yen Lee & Chin-Yi Tseng, 2023. "Market Power and Efficiency Analysis in Bi-level Energy Transmission Market," Journal of Optimization Theory and Applications, Springer, vol. 196(2), pages 544-569, February.
    22. Chen, Lei & Wang, Ying-Ming, 2023. "Game directional distance function in meta-frontier data envelopment analysis," Omega, Elsevier, vol. 121(C).
    23. Ester Gutiérrez & Sebastián Lozano, 2020. "Benchmarking Formula One auto racing circuits: a two stage DEA approach," Operational Research, Springer, vol. 20(4), pages 2059-2083, December.
    24. Wu, F. & Zhou, P. & Zhou, D.Q., 2020. "Modeling carbon emission performance under a new joint production technology with energy input," Energy Economics, Elsevier, vol. 92(C).
    25. Thyago C. C. Nepomuceno & Cinzia Daraio & Ana Paula C. S. Costa, 2021. "Multicriteria Ranking for the Efficient and Effective Assessment of Police Departments," Sustainability, MDPI, vol. 13(8), pages 1-15, April.
    26. Minh‐Anh Thi Nguyen & Ming‐Miin Yu, 2020. "Decomposing the operational efficiency of major cruise lines: A network data envelopment analysis approach in the presence of shared input and quasi‐fixed input," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 41(8), pages 1501-1516, December.
    27. Fukuyama, Hirofumi & Liu, Hui-hui & Song, Yao-yao & Yang, Guo-liang, 2021. "Measuring the capacity utilization of the 48 largest iron and steel enterprises in China," European Journal of Operational Research, Elsevier, vol. 288(2), pages 648-665.
    28. Deng, Zhongqi & Song, Shunfeng & Jiang, Nan & Pang, Ruizhi, 2023. "Sustainable development in China? A nonparametric decomposition of economic growth," China Economic Review, Elsevier, vol. 81(C).
    29. Thyago Celso Cavalcante Nepomuceno & Katarina Tatiana Marques Santiago & Cinzia Daraio & Ana Paula Cabral Seixas Costa, 2022. "Exogenous crimes and the assessment of public safety efficiency and effectiveness," Annals of Operations Research, Springer, vol. 316(2), pages 1349-1382, September.

  18. Ke Wang & Jieming Zhang & Yi-Ming Wei, 2017. "Operational and environmental performance in China¡¯s thermal power industry: Taking an effectiveness measure as complement to an efficiency measure," CEEP-BIT Working Papers 100, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.

    Cited by:

    1. Feihua Huang & Yue Du & Debao Hu & Bin Zhang, 2021. "Sustainable Performance Analysis of Power Supply Chain System from the Perspective of Technology and Management," Sustainability, MDPI, vol. 13(11), pages 1-17, May.
    2. Chun Sun & Sheng Ang & Fangqing Wei & Dawei Wang & Feng Yang, 2024. "Supply–demand effectiveness: capturing the effects of supply and demand mismatches in operational performance measurement," Operational Research, Springer, vol. 24(2), pages 1-22, June.
    3. Zhigang Zhu & Xuping Zhang & Yujia Wang & Xiang Chen, 2021. "Energy Cost Performance of Thermal Power Industry in China Considering Regional Heterogeneity: A Meta-Frontier Cost Malmquist Productivity Decomposition Approach," Sustainability, MDPI, vol. 13(12), pages 1-19, June.
    4. Ke Wang & Zhifu Mi & Yi-Ming Wei, 2018. "Will pollution taxes improve joint ecological and economic efficiency of thermal power industry in China? A DEA based materials balance approach," CEEP-BIT Working Papers 114, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
    5. Long, Xingle & Wu, Chao & Zhang, Jijian & Zhang, Jing, 2018. "Environmental efficiency for 192 thermal power plants in the Yangtze River Delta considering heterogeneity: A metafrontier directional slacks-based measure approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 82(P3), pages 3962-3971.
    6. Sueyoshi, Toshiyuki & Goto, Mika & Wang, Derek, 2017. "Malmquist index measurement for sustainability enhancement in Chinese municipalities and provinces," Energy Economics, Elsevier, vol. 67(C), pages 554-571.
    7. Sueyoshi, Toshiyuki & Yuan, Yan, 2017. "Social sustainability measured by intermediate approach for DEA environmental assessment: Chinese regional planning for economic development and pollution prevention," Energy Economics, Elsevier, vol. 66(C), pages 154-166.
    8. Qingyou Yan & Yaxian Wang & Tomas Baležentis & Yikai Sun & Dalia Streimikiene, 2018. "Energy-Related CO 2 Emission in China’s Provincial Thermal Electricity Generation: Driving Factors and Possibilities for Abatement," Energies, MDPI, vol. 11(5), pages 1-25, April.
    9. Xuemei Jiang & Huijuan Wang & Yan Xia, 2020. "Economic structural change, renewable energy development, and carbon dioxide emissions in China," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 25(7), pages 1345-1362, October.
    10. Meng, Ming & Pang, Tingting, 2022. "Operational efficiency analysis of China's electric power industry using a dynamic network slack-based measure model," Energy, Elsevier, vol. 251(C).
    11. Lin, Hongbo & Zhang, Xiaoling & Chen, Zhenling & Zheng, Heyun, 2020. "Estimating the potential output and output gap for China's coal cities with pollutants reduction," Resources Policy, Elsevier, vol. 68(C).
    12. Yu, Yanni & Qian, Tao & Du, Limin, 2017. "Carbon productivity growth, technological innovation, and technology gap change of coal-fired power plants in China," Energy Policy, Elsevier, vol. 109(C), pages 479-487.
    13. Opazo-Basáez, Marco & Monroy-Osorio, Juan Carlos & Marić, Josip, 2024. "Evaluating the effect of green technological innovations on organizational and environmental performance: A treble innovation approach," Technovation, Elsevier, vol. 129(C).
    14. Zhang, Yijun & Song, Yi, 2020. "Unified efficiency of coal mining enterprises in China: An analysis based on meta-frontier non-radial directional distance functions," Resources Policy, Elsevier, vol. 65(C).
    15. Li, Feng & Zhang, Danlu & Zhang, Jinyu & Kou, Gang, 2022. "Measuring the energy production and utilization efficiency of Chinese thermal power industry with the fixed-sum carbon emission constraint," International Journal of Production Economics, Elsevier, vol. 252(C).
    16. Wang, Yongpei & Yan, Weilong & Komonpipat, Supak, 2019. "How does the capacity utilization of thermal power generation affect pollutant emissions? Evidence from the panel data of China's provinces," Energy Policy, Elsevier, vol. 132(C), pages 440-451.

  19. Jin-Wei Wang & Hua Liao & Bao-Jun Tang & Ruo-Yu Ke & Yi-Ming Wei, 2017. "Is the CO2 Emissions Reduction from Scale Change, Structural Change or Technology Change? Evidence from Non-metallic Sector of 11 Major Economies in 1995-2009," CEEP-BIT Working Papers 101, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.

    Cited by:

    1. Yao Qian & Lang Sun & Quanyi Qiu & Lina Tang & Xiaoqi Shang & Chengxiu Lu, 2020. "Analysis of CO 2 Drivers and Emissions Forecast in a Typical Industry-Oriented County: Changxing County, China," Energies, MDPI, vol. 13(5), pages 1-21, March.
    2. Simona-Vasilica Oprea & Irina Alexandra Georgescu & Adela Bâra, 2024. "Charting the BRIC countries’ connection of political stability, economic growth, demographics, renewables and CO2 emissions," Economic Change and Restructuring, Springer, vol. 57(5), pages 1-35, October.
    3. Yi-Ming Wei & Jin-Wei Wang & Tianqi Chen & Bi-Ying Yu & Hua Liao, 2018. "Frontiers of Low-Carbon Technologies: Results from Bibliographic Coupling with Sliding Window," CEEP-BIT Working Papers 116, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
    4. Moutinho, Victor & Madaleno, Mara & Inglesi-Lotz, Roula & Dogan, Eyup, 2018. "Factors affecting CO2 emissions in top countries on renewable energies: A LMDI decomposition application," Renewable and Sustainable Energy Reviews, Elsevier, vol. 90(C), pages 605-622.
    5. Li-Jing Liu & Qiao-Mei Liang & Felix Creutzig & Nan Cheng & Lan-Cui Liu, 2021. "Electricity end-use and construction activity are key leverage points for co-controlling greenhouse gases and local pollution in China," Climatic Change, Springer, vol. 167(1), pages 1-22, July.
    6. Hongli Zhang & Lei Shen & Shuai Zhong & Ayman Elshkaki, 2020. "Economic Structure Transformation and Low-Carbon Development in Energy-Rich Cities: The Case of the Contiguous Area of Shanxi and Shaanxi Provinces, and Inner Mongolia Autonomous Region of China," Sustainability, MDPI, vol. 12(5), pages 1-14, March.
    7. Xiao, Hao & Sun, Ke-Juan & Bi, Hui-Min & Xue, Jin-Jun, 2019. "Changes in carbon intensity globally and in countries: Attribution and decomposition analysis," Applied Energy, Elsevier, vol. 235(C), pages 1492-1504.
    8. Nayeah Kim & Yun Seop Hwang & Mun Ho Hwang, 2019. "New projection of GHG reduction potentials for Korea’s cement industry and comparison with Roadmap 2030," Energy & Environment, , vol. 30(3), pages 499-521, May.

  20. Quande Qin & Xin Li & Li Li & Wei Zhen & Yi-Ming Wei, 2017. "Air emissions perspective on energy efficiency: An empirical analysis of China's coastal areas," CEEP-BIT Working Papers 98, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.

    Cited by:

    1. Toshiyuki Sueyoshi & Mika Goto, 2020. "Performance Assessment of Japanese Electric Power Industry: DEA Measurement with Future Impreciseness," Energies, MDPI, vol. 13(2), pages 1-24, January.
    2. Ying Li & Yung-ho Chiu & Tai-Yu Lin, 2019. "Energy and Environmental Efficiency in Different Chinese Regions," Sustainability, MDPI, vol. 11(4), pages 1-26, February.
    3. Xingle Long & Yusen Luo & Huaping Sun & Gang Tian, 2018. "Fertilizer using intensity and environmental efficiency for China’s agriculture sector from 1997 to 2014," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 92(3), pages 1573-1591, July.
    4. Ze Tian & Fang-Rong Ren & Qin-Wen Xiao & Yung-Ho Chiu & Tai-Yu Lin, 2019. "Cross-Regional Comparative Study on Carbon Emission Efficiency of China’s Yangtze River Economic Belt Based on the Meta-Frontier," IJERPH, MDPI, vol. 16(4), pages 1-19, February.
    5. Nakaishi, Tomoaki & Nagashima, Fumiya & Kagawa, Shigemi & Nansai, Keisuke & Chatani, Satoru, 2023. "Quantifying the health benefits of improving environmental efficiency: A case study from coal power plants in China," Energy Economics, Elsevier, vol. 121(C).
    6. Ying Li & Yung-Ho Chiu & Liang Chun Lu, 2018. "Regional Energy, CO 2 , and Economic and Air Quality Index Performances in China: A Meta-Frontier Approach," Energies, MDPI, vol. 11(8), pages 1-20, August.
    7. Xu, Bin & Lin, Boqiang, 2019. "Can expanding natural gas consumption reduce China's CO2 emissions?," Energy Economics, Elsevier, vol. 81(C), pages 393-407.
    8. Zhang, Junfeng & Fang, Hong & Wang, Hongxia & Jia, Mingshun & Wu, Junjie & Fang, Siran, 2017. "Energy efficiency of airlines and its influencing factors: A comparison between China and the United States," Resources, Conservation & Recycling, Elsevier, vol. 125(C), pages 1-8.
    9. Huaming Chen & Jia Liu & Ying Li & Yung-Ho Chiu & Tai-Yu Lin, 2019. "A Two-stage Dynamic Undesirable Data Envelopment Analysis Model Focused on Media Reports and the Impact on Energy and Health Efficiency," IJERPH, MDPI, vol. 16(9), pages 1-23, April.
    10. Zebin Zheng & Wenjun Xiao & Ziye Cheng, 2023. "China’s Green Total Factor Energy Efficiency Assessment Based on Coordinated Reduction in Pollution and Carbon Emission: From the 11th to the 13th Five-Year Plan," Sustainability, MDPI, vol. 15(9), pages 1-20, April.
    11. Keliang Wang & Yajing Bian & Yunhe Cheng, 2022. "Exploring the Spatial Correlation Network Structure of Green Innovation Efficiency in the Yangtze River Delta, China," Sustainability, MDPI, vol. 14(7), pages 1-20, March.
    12. Wang, Xipan & Song, Junnian & Duan, Haiyan & Wang, Xian'en, 2021. "Coupling between energy efficiency and industrial structure: An urban agglomeration case," Energy, Elsevier, vol. 234(C).
    13. Ji, Xiang & Li, Guo & Wang, Zhaohua, 2017. "Allocation of emission permits for China’s power plants: A systemic Pareto optimal method," Applied Energy, Elsevier, vol. 204(C), pages 607-619.
    14. Meng, Conghui & Du, Xiaoyun & Zhu, Mengcheng & Ren, Yitian & Fang, Kai, 2023. "The static and dynamic carbon emission efficiency of transport industry in China," Energy, Elsevier, vol. 274(C).
    15. Jia, Shuwei & Liu, Xiaolu & Yan, Guangle, 2019. "Effect of APCF policy on the haze pollution in China: A system dynamics approach," Energy Policy, Elsevier, vol. 125(C), pages 33-44.
    16. Zhang, Qi & Gu, Baihe & Zhang, Haiying & Ji, Qiang, 2023. "Emission reduction mode of China's provincial transportation sector: Based on “Energy+” carbon efficiency evaluation," Energy Policy, Elsevier, vol. 177(C).
    17. Chuanming Yang & Jie Shen & Zhonghua Jiang & Junyu Chen & Yi Xie, 2024. "Evaluation of Atmospheric Environmental Efficiency and Spatiotemporal Differences in the Yangtze River Delta Region of China," Sustainability, MDPI, vol. 16(6), pages 1-16, March.
    18. Liu, Xuyi & Zhang, Shun & Bae, Junghan, 2017. "The nexus of renewable energy-agriculture-environment in BRICS," Applied Energy, Elsevier, vol. 204(C), pages 489-496.
    19. Liang Chun Lu & Yung-ho Chiu & Shih-Yung Chiu & Tzu-Han Chang, 2022. "Do Forests help environmental development of Cities in China?," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(5), pages 6602-6629, May.
    20. Guangdong Li, 2019. "Spatiotemporal Dynamics of Ecological Total-Factor Energy Efficiency and Their Drivers in China at the Prefecture Level," IJERPH, MDPI, vol. 16(18), pages 1-23, September.
    21. Liu, Xiuli & Guo, Pibin & Yue, Xiaohang & Qi, Xiaoyan & Guo, Shufeng & Zhou, Xijun, 2021. "Measuring metabolic efficiency of the Beijing–Tianjin–Hebei urban agglomeration: A slacks-based measures method," Resources Policy, Elsevier, vol. 70(C).
    22. Qian Wang & Duo Li & Tzu-Han Chang, 2019. "Energy and Health Efficiencies in China with the Inclusion of Technological Innovation," IJERPH, MDPI, vol. 16(21), pages 1-20, October.
    23. Tingting Xiao & Zhong Liu, 2023. "Air Pollution and Enterprise Energy Efficiency: Evidence from Energy-Intensive Manufacturing Industries in China," Sustainability, MDPI, vol. 15(7), pages 1-17, April.
    24. Shixiong Cheng & Jiahui Xie & De Xiao & Yun Zhang, 2019. "Measuring the Environmental Efficiency and Technology Gap of PM 2.5 in China’s Ten City Groups: An Empirical Analysis Using the EBM Meta-Frontier Model," IJERPH, MDPI, vol. 16(4), pages 1-22, February.
    25. Xiangyu Teng & Fan‐peng Liu & Yung‐ho Chiu, 2020. "The impact of coal and non‐coal consumption on China's energy performance improvement," Natural Resources Forum, Blackwell Publishing, vol. 44(4), pages 334-352, November.
    26. Qi, Xiaoyan & Guo, Pibin & Guo, Yanshan & Liu, Xiuli & Zhou, Xijun, 2020. "Understanding energy efficiency and its drivers: An empirical analysis of China’s 14 coal intensive industries," Energy, Elsevier, vol. 190(C).
    27. Fan, Di & Peng, Bo & Wu, Jianxin & Zhang, ZhongXiang, 2024. "The convergence of total-factor energy efficiency across Chinese cities: A distribution dynamics approach," Structural Change and Economic Dynamics, Elsevier, vol. 69(C), pages 406-416.
    28. Mushtaq, Zulqarnain & Wei, Wei & Jamil, Ihsan & Sharif, Maimoona & Chandio, Abbas Ali & Ahmad, Fayyaz, 2022. "Evaluating the factors of coal consumption inefficiency in energy intensive industries of China: An epsilon-based measure model," Resources Policy, Elsevier, vol. 78(C).
    29. Zhang, Ning & Zhao, Yu & Wang, Na, 2022. "Is China's energy policy effective for power plants? Evidence from the 12th Five-Year Plan energy saving targets," Energy Economics, Elsevier, vol. 112(C).
    30. Zhang, Lei & Qin, Quande, 2018. "China’s new energy vehicle policies: Evolution, comparison and recommendation," Transportation Research Part A: Policy and Practice, Elsevier, vol. 110(C), pages 57-72.
    31. Liang-jun Long, 2021. "Eco-efficiency and effectiveness evaluation toward sustainable urban development in China: a super-efficiency SBM–DEA with undesirable outputs," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(10), pages 14982-14997, October.
    32. Cui, Yuan & Pan, Hao & Huang, Yi-Di & Yang, Guo-liang, 2024. "How can sociological theories provide legitimacy to eco-efficiency evaluations? Embark on a journey toward understanding," Socio-Economic Planning Sciences, Elsevier, vol. 93(C).
    33. Ke-Liang Wang & Jianguo Wang & Jianming Wang & Lili Ding & Mingsong Zhao & Qunwei Wang, 2020. "Investigating the spatiotemporal differences and influencing factors of green water use efficiency of Yangtze River Economic Belt in China," PLOS ONE, Public Library of Science, vol. 15(4), pages 1-24, April.
    34. Ke-Liang Wang & Fu-Qin Zhang, 2021. "Investigating the Spatial Heterogeneity and Correlation Network of Green Innovation Efficiency in China," Sustainability, MDPI, vol. 13(3), pages 1-20, January.
    35. Huali Sun & Mengzhen Li & Yaofeng Xue, 2019. "Examining the Factors Influencing Transport Sector CO 2 Emissions and Their Efficiency in Central China," Sustainability, MDPI, vol. 11(17), pages 1-15, August.
    36. Zhang, Lei & Qin, Quande & Wei, Yi-Ming, 2019. "China's distributed energy policies: Evolution, instruments and recommendation," Energy Policy, Elsevier, vol. 125(C), pages 55-64.
    37. Yu, Shiwei & Zheng, Shuhong & Zhang, Xuejiao & Gong, Chengzhu & Cheng, Jinhua, 2018. "Realizing China's goals on energy saving and pollution reduction: Industrial structure multi-objective optimization approach," Energy Policy, Elsevier, vol. 122(C), pages 300-312.
    38. Liu, Fangmei & Li, Li & Ye, Bin & Qin, Quande, 2023. "A novel stochastic semi-parametric frontier-based three-stage DEA window model to evaluate China's industrial green economic efficiency," Energy Economics, Elsevier, vol. 119(C).

  21. Hao Yu & Yi-Ming Wei & Bao-Jun Tang & Zhifu Mi & Su-Yan Pan, 2017. "Assessment on the research trend of low-carbon energy technology investment: A bibliometric analysis," CEEP-BIT Working Papers 106, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.

    Cited by:

    1. Guo, Jian-Xin & Zhu, Kaiwei & Tan, Xianchun & Gu, Baihe, 2021. "Low-carbon technology development under multiple adoption risks," Technological Forecasting and Social Change, Elsevier, vol. 172(C).
    2. Xiang-Yu Wang & Bao-Jun Tang, 2018. "Review of comparative studies on market mechanisms for carbon emission reduction: a bibliometric analysis," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 94(3), pages 1141-1162, December.
    3. Hache, Emmanuel & Palle, Angélique, 2019. "Renewable energy source integration into power networks, research trends and policy implications: A bibliometric and research actors survey analysis," Energy Policy, Elsevier, vol. 124(C), pages 23-35.
    4. Katarzyna Sanak-Kosmowska & Jan W. Wiktor, 2021. "The Morphology and Differentiation of the Content of International Debate on Renewable Energy. A Bibliometric Analysis of Web of Science, Scopus, and Twitter," Energies, MDPI, vol. 14(21), pages 1-23, October.
    5. Yu-Jie Hu & Lishan Yang & Fali Duan & Honglei Wang & Chengjiang Li, 2022. "A Scientometric Analysis and Review of the Emissions Trading System," Energies, MDPI, vol. 15(12), pages 1-20, June.
    6. Jian Zhou & Yujiao Jiang & Athanasios A. Pantelous & Weiwen Dai, 2023. "A systematic review of uncertainty theory with the use of scientometrical method," Fuzzy Optimization and Decision Making, Springer, vol. 22(3), pages 463-518, September.
    7. de Paulo, Alex Fabianne & Nunes, Breno & Porto, Geciane, 2020. "Emerging green technologies for vehicle propulsion systems," Technological Forecasting and Social Change, Elsevier, vol. 159(C).
    8. Xin-Cheng Meng & Yeon-Ho Seong & Min-Kyu Lee, 2021. "Research Characteristics and Development Trend of Global Low-Carbon Power—Based on Bibliometric Analysis of 1983–2021," Energies, MDPI, vol. 14(16), pages 1-20, August.
    9. Thomas Aspinall & Adrian Gepp & Geoff Harris & Simone Kelly & Colette Southam & Bruce Vanstone, 2021. "Estimation of a term structure model of carbon prices through state space methods: The European Union emissions trading scheme," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 61(2), pages 3797-3819, June.
    10. Chang-Jing Ji & Xiao-Yi Li & Yu-Jie Hu & Xiang-Yu Wang & Bao-Jun Tang, 2019. "Research on carbon price in emissions trading scheme: a bibliometric analysis," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 99(3), pages 1381-1396, December.
    11. Wang, Qiang & Li, Rongrong, 2017. "Research status of shale gas: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 74(C), pages 715-720.
    12. Imran, Muhammad & Haglind, Fredrik & Asim, Muhammad & Zeb Alvi, Jahan, 2018. "Recent research trends in organic Rankine cycle technology: A bibliometric approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P1), pages 552-562.
    13. Zhao, Congyu & Dong, Kangyin & Wang, Kun & Dong, Xiucheng, 2023. "Can low-carbon energy technology lead to energy resource carrying capacity improvement? The case of China," Energy Economics, Elsevier, vol. 127(PA).
    14. Temitope Love Baiyegunhi & Christopher Baiyegunhi & Benedict Kinshasa Pharoe, 2022. "Global Research Trends on Shale Gas from 2010–2020 Using a Bibliometric Approach," Sustainability, MDPI, vol. 14(6), pages 1-22, March.
    15. Xu, Yue & Tian, Shu & Wang, Qingsong & Yuan, Xueliang & Ma, Qiao & Liu, Mengyue & Xu, Zhaopeng & Liu, Jixiang & Xu, Xiang & Liu, Chengqing, 2021. "Optimization path of energy-economy system from the perspective of minimum industrial structure adjustment," Energy, Elsevier, vol. 237(C).
    16. Tapia, John Frederick D. & Lee, Jui-Yuan & Ooi, Raymond E.H. & Foo, Dominic C.Y. & Tan, Raymond R., 2016. "Optimal CO2 allocation and scheduling in enhanced oil recovery (EOR) operations," Applied Energy, Elsevier, vol. 184(C), pages 337-345.
    17. Dejian Yu & Sun Meng, 2018. "An overview of biomass energy research with bibliometric indicators," Energy & Environment, , vol. 29(4), pages 576-590, June.
    18. de Paulo, Alex Fabianne & Porto, Geciane Silveira, 2017. "Solar energy technologies and open innovation: A study based on bibliometric and social network analysis," Energy Policy, Elsevier, vol. 108(C), pages 228-238.
    19. Luisa F. Cabeza & Emiliano Borri & Cristina Prieto, 2022. "Bibliometric Map on Corrosion in Concentrating Solar Power Plants," Energies, MDPI, vol. 15(7), pages 1-16, April.
    20. Zhu, Li & Zhang, Jiqiang & Li, Qingxiang & Shao, Zebiao & Chen, Mengdong & Yang, Yang & Sun, Yong, 2020. "Comprehensive analysis of heat transfer of double-skin facades integrated high concentration photovoltaic (CPV-DSF)," Renewable Energy, Elsevier, vol. 161(C), pages 635-649.
    21. Elie, Luc & Granier, Caroline & Rigot, Sandra, 2021. "The different types of renewable energy finance: A Bibliometric analysis," Energy Economics, Elsevier, vol. 93(C).
    22. Hanne Lamberts-Van Assche & Tine Compernolle, 2022. "Using Real Options Thinking to Value Investment Flexibility in Carbon Capture and Utilization Projects: A Review," Sustainability, MDPI, vol. 14(4), pages 1-24, February.
    23. Jiaquan Li & Yunbing Hou & Pengtao Wang & Bo Yang, 2018. "A Review of Carbon Capture and Storage Project Investment and Operational Decision-Making Based on Bibliometrics," Energies, MDPI, vol. 12(1), pages 1-22, December.
    24. Zhi-Fu Mi & Yi-Ming Wei & Bing Wang & Jing Meng & Zhu Liu & Yuli Shan & Jingru Liu & Dabo Guan, 2017. "Socioeconomic impact assessment of China's CO2 emissions peak prior to 2030," CEEP-BIT Working Papers 103, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
    25. Kozlova, Mariia, 2017. "Real option valuation in renewable energy literature: Research focus, trends and design," Renewable and Sustainable Energy Reviews, Elsevier, vol. 80(C), pages 180-196.
    26. Rongrong Li & Xuefeng Wang, 2019. "Imbalances between the Quantity and Quality of China’s Solar Energy Research," Sustainability, MDPI, vol. 11(3), pages 1-15, January.
    27. Xiaowei Ma & Mei Wang & Chuandong Li, 2019. "A Summary on Research of Household Energy Consumption: A Bibliometric Analysis," Sustainability, MDPI, vol. 12(1), pages 1-17, December.
    28. Miguel Ángel Reyes-Belmonte, 2020. "A Bibliometric Study on Integrated Solar Combined Cycles (ISCC), Trends and Future Based on Data Analytics Tools," Sustainability, MDPI, vol. 12(19), pages 1-29, October.
    29. Eigbe, Patrick A. & Ajayi, Olatunbosun O. & Olakoyejo, Olabode T. & Fadipe, Opeyemi L. & Efe, Steven & Adelaja, Adekunle O., 2023. "A general review of CO2 sequestration in underground geological formations and assessment of depleted hydrocarbon reservoirs in the Niger Delta," Applied Energy, Elsevier, vol. 350(C).

  22. Zhi-Fu Mi & Yi-Ming Wei & Bao-Jun Tang & Rong-Gang Cong & Hao Yu & Hong Cao & Dabo Guan, 2017. "Risk assessment of oil price from static and dynamic modelling approaches," CEEP-BIT Working Papers 102, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.

    Cited by:

    1. Hui-Ling Zhou & Bao-Jun Tang & Hong Cao, 2020. "Abandonment Decision-Making of Overseas Oilfield Project Coping with Low Oil Price," Computational Economics, Springer;Society for Computational Economics, vol. 55(4), pages 1171-1184, April.
    2. Wilson Calmon & Eduardo Ferioli & Davi Lettieri & Johann Soares & Adrian Pizzinga, 2021. "An Extensive Comparison of Some Well‐Established Value at Risk Methods," International Statistical Review, International Statistical Institute, vol. 89(1), pages 148-166, April.
    3. Zhang, Yue-Jun & Yao, Ting & He, Ling-Yun & Ripple, Ronald, 2019. "Volatility forecasting of crude oil market: Can the regime switching GARCH model beat the single-regime GARCH models?," International Review of Economics & Finance, Elsevier, vol. 59(C), pages 302-317.
    4. Ra l De Jes s Guti rrez & Lidia E. Carvajal Guti rrez & Oswaldo Garcia Salgado, 2023. "Value at Risk and Expected Shortfall Estimation for Mexico s Isthmus Crude Oil Using Long-Memory GARCH-EVT Combined Approaches," International Journal of Energy Economics and Policy, Econjournals, vol. 13(4), pages 467-480, July.
    5. Lu-Tao Zhao & Li-Na Liu & Zi-Jie Wang & Ling-Yun He, 2019. "Forecasting Oil Price Volatility in the Era of Big Data: A Text Mining for VaR Approach," Sustainability, MDPI, vol. 11(14), pages 1-20, July.
    6. Zhang, Yue-Jun & Chevallier, Julien & Guesmi, Khaled, 2017. "“De-financialization” of commodities? Evidence from stock, crude oil and natural gas markets," Energy Economics, Elsevier, vol. 68(C), pages 228-239.
    7. F. Benedetto & L. Mastroeni & P. Vellucci, 2021. "Modeling the flow of information between financial time-series by an entropy-based approach," Annals of Operations Research, Springer, vol. 299(1), pages 1235-1252, April.
    8. Zhang, Lei & Chen, Yan & Bouri, Elie, 2024. "Time-varying jump intensity and volatility forecasting of crude oil returns," Energy Economics, Elsevier, vol. 129(C).
    9. Pavel Kotyza & Katarzyna Czech & Michał Wielechowski & Luboš Smutka & Petr Procházka, 2021. "Sugar Prices vs. Financial Market Uncertainty in the Time of Crisis: Does COVID-19 Induce Structural Changes in the Relationship?," Agriculture, MDPI, vol. 11(2), pages 1-16, January.
    10. Gong, Xu & Lin, Boqiang, 2017. "Forecasting the good and bad uncertainties of crude oil prices using a HAR framework," Energy Economics, Elsevier, vol. 67(C), pages 315-327.
    11. Yue‐Jun Zhang & Shu‐Jiao Ma, 2021. "Exploring the dynamic price discovery, risk transfer and spillover among INE, WTI and Brent crude oil futures markets: Evidence from the high‐frequency data," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(2), pages 2414-2435, April.
    12. Jianfeng Guo & Bin Su & Guang Yang & Lianyong Feng & Yinpeng Liu & Fu Gu, 2018. "How Do Verified Emissions Announcements Affect the Comoves between Trading Behaviors and Carbon Prices? Evidence from EU ETS," Sustainability, MDPI, vol. 10(9), pages 1-17, September.
    13. Yao, Ting & Zhang, Yue-Jun & Ma, Chao-Qun, 2017. "How does investor attention affect international crude oil prices?," Applied Energy, Elsevier, vol. 205(C), pages 336-344.
    14. Pierluigi Vellucci, 2021. "A critique of financial neoliberalism: a perspective combining multidisciplinary methods and commodity markets," SN Business & Economics, Springer, vol. 1(3), pages 1-11, March.
    15. Tang, Bao-Jun & Zhou, Hui-Ling & Chen, Hao & Wang, Kai & Cao, Hong, 2017. "Investment opportunity in China's overseas oil project: An empirical analysis based on real option approach," Energy Policy, Elsevier, vol. 105(C), pages 17-26.
    16. Bin Xu & Boqiang Lin, 2021. "Large fluctuations of China's commodity prices: Main sources and heterogeneous effects," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(2), pages 2074-2089, April.

  23. Xiao-Chen Yuan & Xun Sun & Upmanu Lall & Zhi-Fu Mi & Jun He & Yi-Ming Wei, 2017. "China's socioeconomic risk from extreme events in a changing climate: a hierarchical Bayesian model," CEEP-BIT Working Papers 107, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.

    Cited by:

    1. Cristian Rogério Foguesatto & Felipe Dalzotto Artuzo & Edson Talamini & João Armando Dessimon Machado, 2020. "Understanding the divergences between farmer’s perception and meteorological records regarding climate change: a review," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 22(1), pages 1-16, January.
    2. Xiao-Chen Yuan & Xun Sun, 2019. "Climate change impacts on socioeconomic damages from weather-related events in China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 99(3), pages 1197-1213, December.
    3. Zhi-Fu Mi & Yi-Ming Wei & Bing Wang & Jing Meng & Zhu Liu & Yuli Shan & Jingru Liu & Dabo Guan, 2017. "Socioeconomic impact assessment of China's CO2 emissions peak prior to 2030," CEEP-BIT Working Papers 103, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.

  24. Ke Wang & Linan Che & Chunbo Ma & Yi-Ming Wei, 2017. "The Shadow Price of CO2 Emissions in China's Iron and Steel Industry," CEEP-BIT Working Papers 105, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.

    Cited by:

    1. Wang, Ke & Yang, Kexin & Wei, Yi-Ming & Zhang, Chi, 2018. "Shadow prices of direct and overall carbon emissions in China’s construction industry: A parametric directional distance function-based sensitive estimation," Structural Change and Economic Dynamics, Elsevier, vol. 47(C), pages 180-193.
    2. Zhang, Weijie & Zhang, Ning & Yu, Yanni, 2019. "Carbon mitigation effects and potential cost savings from carbon emissions trading in China's regional industry," Technological Forecasting and Social Change, Elsevier, vol. 141(C), pages 1-11.
    3. Adenuga, A. & Davis, J. & Hutchinson, G. & Donnellan, T. & Patton, M., 2018. "Valuing Agricultural Externalities: Nitrogen Surplus in the Dairy Sector on the Island of Ireland," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 277434, International Association of Agricultural Economists.
    4. Xian, Yujiao & Yu, Dan & Wang, Ke & Yu, Jian & Huang, Zhimin, 2022. "Capturing the least costly measure of CO2 emission abatement: Evidence from the iron and steel industry in China," Energy Economics, Elsevier, vol. 106(C).
    5. Ma, Chunbo & Hailu, Atakelty & You, Chaoying, 2019. "A critical review of distance function based economic research on China’s marginal abatement cost of carbon dioxide emissions," Energy Economics, Elsevier, vol. 84(C).
    6. Yuan, Yuxing & Na, Hongming & Du, Tao & Qiu, Ziyang & Sun, Jingchao & Yan, Tianyi & Che, Zichang, 2023. "Multi-objective optimization and analysis of material and energy flows in a typical steel plant," Energy, Elsevier, vol. 263(PD).
    7. Qunli Wu & Shuting Gu, 2021. "Exploring the focus of future CO2 emission reduction in China's industrial sectors," Greenhouse Gases: Science and Technology, Blackwell Publishing, vol. 11(4), pages 682-696, August.
    8. Aparajita Singh & Haripriya Gundimeda, 2021. "Measuring technical efficiency and shadow price of water pollutants for the leather industry in India: a directional distance function approach," Journal of Regulatory Economics, Springer, vol. 59(1), pages 71-93, February.
    9. An, Runying & Yu, Biying & Li, Ru & Wei, Yi-Ming, 2018. "Potential of energy savings and CO2 emission reduction in China’s iron and steel industry," Applied Energy, Elsevier, vol. 226(C), pages 862-880.
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    3. Chen, B. & Li, J.S. & Zhou, S.L. & Yang, Q. & Chen, G.Q., 2018. "GHG emissions embodied in Macao's internal energy consumption and external trade: Driving forces via decomposition analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 82(P3), pages 4100-4106.
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    9. Chen, B. & Yang, Q. & Zhou, Sili & Li, J.S. & Chen, G.Q., 2017. "Urban economy's carbon flow through external trade: Spatial-temporal evolution for Macao," Energy Policy, Elsevier, vol. 110(C), pages 69-78.
    10. Xiaokang Yang & Junbing Xu & Minling Zhu & Yinglong Yang, 2022. "Environmental regulation and corporate tax avoidance—Evidence from China," PLOS ONE, Public Library of Science, vol. 17(1), pages 1-12, January.
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    18. Ze, Fu & Wong, Wing-Keung & Alhasan, Tariq kamal & Al Shraah, Ata & Ali, Anis & Muda, Iskandar, 2023. "Economic development, natural resource utilization, GHG emissions and sustainable development: A case study of China," Resources Policy, Elsevier, vol. 83(C).
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    90. Cong Dong & Xiucheng Dong & Joel Gehman & Lianne Lefsrud, 2017. "Using BP Neural Networks to Prioritize Risk Management Approaches for China’s Unconventional Shale Gas Industry," Sustainability, MDPI, vol. 9(6), pages 1-18, June.
    91. Wu, Rongxin & Tan, Zhizhou & Lin, Boqiang, 2023. "Does carbon emission trading scheme really improve the CO2 emission efficiency? Evidence from China's iron and steel industry," Energy, Elsevier, vol. 277(C).
    92. Yi Cheng & Haimeng Liu & Shaobin Wang & Xuegang Cui & Qirui Li, 2021. "Global Action on SDGs: Policy Review and Outlook in a Post-Pandemic Era," Sustainability, MDPI, vol. 13(11), pages 1-25, June.
    93. Tao Song & Xinling Zou & Nuo Wang & Danyang Zhang & Yuxiang Zhao & Erdan Wang, 2023. "Prediction of China’s Carbon Peak Attainment Pathway from Both Production-Side and Consumption-Side Perspectives," Sustainability, MDPI, vol. 15(6), pages 1-15, March.
    94. Yue‐Jun Zhang & Wei Shi & Lin Jiang, 2020. "Does China's carbon emissions trading policy improve the technology innovation of relevant enterprises?," Business Strategy and the Environment, Wiley Blackwell, vol. 29(3), pages 872-885, March.
    95. Irfan Khan & Fujun Hou, 2021. "The Impact of Socio-economic and Environmental Sustainability on CO2 Emissions: A Novel Framework for Thirty IEA Countries," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 155(3), pages 1045-1076, June.
    96. Tian, Peng & Lin, Boqiang, 2017. "Promoting green productivity growth for China's industrial exports: Evidence from a hybrid input-output model," Energy Policy, Elsevier, vol. 111(C), pages 394-402.
    97. Chen, Han & Chen, Wenying, 2019. "Potential impact of shifting coal to gas and electricity for building sectors in 28 major northern cities of China," Applied Energy, Elsevier, vol. 236(C), pages 1049-1061.
    98. Wang, Miao & Feng, Chao, 2018. "Using an extended logarithmic mean Divisia index approach to assess the roles of economic factors on industrial CO2 emissions of China," Energy Economics, Elsevier, vol. 76(C), pages 101-114.
    99. Xu, Guangyue & Schwarz, Peter & Yang, Hualiu, 2019. "Determining China's CO2 emissions peak with a dynamic nonlinear artificial neural network approach and scenario analysis," Energy Policy, Elsevier, vol. 128(C), pages 752-762.
    100. Xin Li & Chunlei Huang & Shaoguo Zhan & Yunxi Wu, 2022. "The Carbon Emission Reduction Effect of City Cluster—Evidence from the Yangtze River Economic Belt in China," Energies, MDPI, vol. 15(17), pages 1-14, August.
    101. Han Chen & Chunyu Meng & Qilin Cao, 2022. "Measurement and Influencing Factors of Low Carbon Urban Land Use Efficiency—Based on Non-Radial Directional Distance Function," Land, MDPI, vol. 11(7), pages 1-16, July.
    102. Lin, Boqiang & Xie, Yongjing, 2024. "The role of venture capital in determining the total factor productivity of renewable energy enterprises: In the context of government subsidy reduction," Energy Economics, Elsevier, vol. 132(C).
    103. Di Zhang & Zhanqi Wang & Shicheng Li & Hongwei Zhang, 2021. "Impact of Land Urbanization on Carbon Emissions in Urban Agglomerations of the Middle Reaches of the Yangtze River," IJERPH, MDPI, vol. 18(4), pages 1-20, February.
    104. Wu, Liangpeng & Zhu, Qingyuan, 2023. "Has the Emissions Trading Scheme (ETS) promoted the end-of-pipe emissions reduction? Evidence from China's residents," Energy, Elsevier, vol. 277(C).
    105. Lin, Fan & Xie, Danyang, 2023. "Balancing Climate Change and Economic Development: the Case of China," MPRA Paper 119970, University Library of Munich, Germany.

  26. Ke Wang & Yi-Ming Wei & Zhimin Huang, 2017. "Environmental efficiency and abatement efficiency measurements of China¡¯s thermal power industry: A data envelopment analysis based materials balance approach," CEEP-BIT Working Papers 108, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.

    Cited by:

    1. Wang, Qiang & Jiang, Feng & Li, Rongrong, 2022. "Assessing supply chain greenness from the perspective of embodied renewable energy – A data envelopment analysis using multi-regional input-output analysis," Renewable Energy, Elsevier, vol. 189(C), pages 1292-1305.
    2. Ke Wang & Zhifu Mi & Yi-Ming Wei, 2018. "Will pollution taxes improve joint ecological and economic efficiency of thermal power industry in China? A DEA based materials balance approach," CEEP-BIT Working Papers 114, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
    3. Long, Xingle & Wu, Chao & Zhang, Jijian & Zhang, Jing, 2018. "Environmental efficiency for 192 thermal power plants in the Yangtze River Delta considering heterogeneity: A metafrontier directional slacks-based measure approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 82(P3), pages 3962-3971.
    4. Ke Wang & Jiayu Wang & Yi-Ming Wei & Chi Zhang, 2018. "A novel dataset of emission abatement sector extended input-output table for environmental policy analysis," CEEP-BIT Working Papers 119, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
    5. Yang, Jiawei & Li, Yuanyu & Fang, Lei, 2023. "Financing capacity planning with environmental considerations: A non-parametric analysis," Omega, Elsevier, vol. 118(C).
    6. Wang, H. & Zhou, P. & Xie, Bai-Chen & Zhang, N., 2019. "Assessing drivers of CO2 emissions in China's electricity sector: A metafrontier production-theoretical decomposition analysis," European Journal of Operational Research, Elsevier, vol. 275(3), pages 1096-1107.

  27. Ke Wang & Xian Zhang & Xueying Yu & Yi-Ming Wei & Bin Wang, 2016. "Emissions trading and abatement cost savings: An estimation of China's thermal power industry," CEEP-BIT Working Papers 95, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.

    Cited by:

    1. Zhao, Yu & Zhong, Honglin & Kong, Fanbin & Zhang, Ning, 2023. "Can China achieve carbon neutrality without power shortage? A substitutability perspective," Renewable and Sustainable Energy Reviews, Elsevier, vol. 182(C).
    2. Wang, Ke & Yang, Kexin & Wei, Yi-Ming & Zhang, Chi, 2018. "Shadow prices of direct and overall carbon emissions in China’s construction industry: A parametric directional distance function-based sensitive estimation," Structural Change and Economic Dynamics, Elsevier, vol. 47(C), pages 180-193.
    3. Chen, Zhenling & Zhao, Weigang & Zheng, Heyun, 2021. "Potential output gap in China's regional coal-fired power sector under the constraint of carbon emission reduction," Energy Policy, Elsevier, vol. 148(PA).
    4. Zhang, Weijie & Yu, Yanni & Liu, Qingjun, 2024. "Is single or synergistic environmental permit trading system more effective? A study based on Chinese industry," Renewable and Sustainable Energy Reviews, Elsevier, vol. 191(C).
    5. Chen, Zhenling & Li, Jinkai & Zhao, Weigang & Yuan, Xiao-Chen & Yang, Guo-liang, 2019. "Undesirable and desirable energy congestion measurements for regional coal-fired power generation industry in China," Energy Policy, Elsevier, vol. 125(C), pages 122-134.
    6. Zhou, Bo & Zhang, Cheng & Wang, Qunwei & Zhou, Dequn, 2020. "Does emission trading lead to carbon leakage in China? Direction and channel identifications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 132(C).
    7. Wei, Xiao & Zhang, Ning, 2020. "The shadow prices of CO2 and SO2 for Chinese Coal-fired Power Plants: A partial frontier approach," Energy Economics, Elsevier, vol. 85(C).
    8. Wang, Ke & Wei, Yi-Ming & Huang, Zhimin, 2018. "Environmental efficiency and abatement efficiency measurements of China's thermal power industry: A data envelopment analysis based materials balance approach," European Journal of Operational Research, Elsevier, vol. 269(1), pages 35-50.
    9. Ke Wang & Yi-Ming Wei & Zhimin Huang, 2017. "Environmental efficiency and abatement efficiency measurements of China¡¯s thermal power industry: A data envelopment analysis based materials balance approach," CEEP-BIT Working Papers 108, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
    10. Yongrok Choi & Yunning Ma & Yu Zhao & Hyoungsuk Lee, 2023. "Inequality in Fossil Fuel Power Plants in China: A Perspective of Efficiency and Abatement Cost," Sustainability, MDPI, vol. 15(5), pages 1-15, March.
    11. Sun, Kege & Zhou, Fengqi & Liu, Xinyu, 2024. "Study on the impact of emission trading scheme on technological progress of power generation sector in China: A perspective from energy transition," Energy, Elsevier, vol. 302(C).
    12. Qibao Shi & Weina Xu, 2023. "Low-Carbon Path Transformation for Different Types of Enterprises under the Dual-Carbon Target," IJERPH, MDPI, vol. 20(6), pages 1-14, March.
    13. Chen, Zhenling & Yuan, Xiao-Chen & Zhang, Xiaoling & Cao, Yunfei, 2020. "How will the Chinese national carbon emissions trading scheme work? The assessment of regional potential gains," Energy Policy, Elsevier, vol. 137(C).
    14. Chang, Kai & Ge, Fangping & Zhang, Chao & Wang, Weihong, 2018. "The dynamic linkage effect between energy and emissions allowances price for regional emissions trading scheme pilots in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 98(C), pages 415-425.
    15. Bingxin Zeng & Jun Xie & Xiaobing Zhang & Yang Yu & Lei Zhu, 2020. "The impacts of emission trading scheme on China’s thermal power industry: A pre-evaluation from the micro level," Energy & Environment, , vol. 31(6), pages 1007-1030, September.
    16. Feng Dong & Yifei Hua & Bolin Yu, 2018. "Peak Carbon Emissions in China: Status, Key Factors and Countermeasures—A Literature Review," Sustainability, MDPI, vol. 10(8), pages 1-34, August.
    17. Enci Wang & Jianyun Nie & Hong Zhan, 2022. "The Impact of Carbon Emissions Trading on the Profitability and Debt Burden of Listed Companies," Sustainability, MDPI, vol. 14(20), pages 1-20, October.

  28. Ke Wang & Chia-Yen Lee & Jieming Zhang & Yi-Ming Wei, 2016. "Operational performance management of the power industry: A distinguishing analysis between effectiveness and efficiency," CEEP-BIT Working Papers 93, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.

    Cited by:

    1. Wang, Ke & Yang, Kexin & Wei, Yi-Ming & Zhang, Chi, 2018. "Shadow prices of direct and overall carbon emissions in China’s construction industry: A parametric directional distance function-based sensitive estimation," Structural Change and Economic Dynamics, Elsevier, vol. 47(C), pages 180-193.
    2. Yuan, Peng & Pu, Yuran & Liu, Chang, 2021. "Improving electricity supply reliability in China: Cost and incentive regulation," Energy, Elsevier, vol. 237(C).
    3. Chun Sun & Sheng Ang & Fangqing Wei & Dawei Wang & Feng Yang, 2024. "Supply–demand effectiveness: capturing the effects of supply and demand mismatches in operational performance measurement," Operational Research, Springer, vol. 24(2), pages 1-22, June.
    4. Ke Wang & Zhifu Mi & Yi-Ming Wei, 2018. "Will pollution taxes improve joint ecological and economic efficiency of thermal power industry in China? A DEA based materials balance approach," CEEP-BIT Working Papers 114, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
    5. Yujiao Xian & Ke Wang & Xunpeng Shi & Chi Zhang & Yi-Ming Wei & Zhimin Huang, 2018. "Carbon emissions intensity reduction target for China¡¯s power industry: An efficiency and productivity perspective," CEEP-BIT Working Papers 117, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
    6. Wang, Ke & Wei, Yi-Ming & Huang, Zhimin, 2018. "Environmental efficiency and abatement efficiency measurements of China's thermal power industry: A data envelopment analysis based materials balance approach," European Journal of Operational Research, Elsevier, vol. 269(1), pages 35-50.
    7. Ke Wang & Yi-Ming Wei & Zhimin Huang, 2017. "Environmental efficiency and abatement efficiency measurements of China¡¯s thermal power industry: A data envelopment analysis based materials balance approach," CEEP-BIT Working Papers 108, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
    8. Fangqing Wei & Yanan Fu & Feng Yang & Chun Sun & Sheng Ang, 2023. "Closest target setting with minimum improvement costs considering demand and resource mismatches," Operational Research, Springer, vol. 23(3), pages 1-29, September.
    9. Xiang Ji & Jie Wu & Qingyuan Zhu & Jiasen Sun, 2019. "Using a hybrid heterogeneous DEA method to benchmark China’s sustainable urbanization: an empirical study," Annals of Operations Research, Springer, vol. 278(1), pages 281-335, July.
    10. Ke Wang & Jieming Zhang & Yi-Ming Wei, 2017. "Operational and environmental performance in China¡¯s thermal power industry: Taking an effectiveness measure as complement to an efficiency measure," CEEP-BIT Working Papers 100, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
    11. Jules Raymond Kala & Didier Michael Kre & Armelle N’Guessan Gnassou & Jean Robert Kamdjoug Kala & Yves Melaine Akpablin Akpablin & Tiorna Coulibaly, 2022. "Assets management on electrical grid using Faster-RCNN," Annals of Operations Research, Springer, vol. 308(1), pages 307-320, January.
    12. Lee, Chia-Yen, 2018. "Mixed-strategy Nash equilibrium in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 266(3), pages 1013-1024.

  29. Bangzhu Zhu & Xuetao Shi & Julien Chevallier & Ping Wang & Yi-Ming Wei, 2016. "An Adaptive Multiscale Ensemble Learning Paradigm for Nonstationary and Nonlinear Energy Price Time Series Forecasting," Working Papers 2016-004, Department of Research, Ipag Business School.

    Cited by:

    1. Li, Zheng & Zhou, Bo & Hensher, David A., 2022. "Forecasting automobile gasoline demand in Australia using machine learning-based regression," Energy, Elsevier, vol. 239(PD).
    2. Flavio Barboza & Geraldo Nunes Silva & José Augusto Fiorucci, 2023. "A review of artificial intelligence quality in forecasting asset prices," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(7), pages 1708-1728, November.
    3. Bangzhu Zhu & Shujiao Ma & Rui Xie & Julien Chevallier & Yi-Ming Wei, 2018. "Hilbert Spectra and Empirical Mode Decomposition: A Multiscale Event Analysis Method to Detect the Impact of Economic Crises on the European Carbon Market," Post-Print halshs-04250160, HAL.
    4. Zhu, Bangzhu & Ye, Shunxin & Jiang, Minxing & Wang, Ping & Wu, Zhanchi & Xie, Rui & Chevallier, Julien & Wei, Yi-Ming, 2019. "Achieving the carbon intensity target of China: A least squares support vector machine with mixture kernel function approach," Applied Energy, Elsevier, vol. 233, pages 196-207.
    5. Zhu, Jiaming & Wu, Peng & Chen, Huayou & Liu, Jinpei & Zhou, Ligang, 2019. "Carbon price forecasting with variational mode decomposition and optimal combined model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 519(C), pages 140-158.
    6. He Jiang, 2023. "Forecasting global solar radiation using a robust regularization approach with mixture kernels," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(8), pages 1989-2010, December.
    7. Feng, Ling & Wang, Jieyu, 2023. "Random sources correlations and carbon futures pricing," International Review of Financial Analysis, Elsevier, vol. 86(C).
    8. Julien Chevallier & Bangzhu Zhu & Lyuyuan Zhang, 2021. "Forecasting Inflection Points: Hybrid Methods with Multiscale Machine Learning Algorithms," Computational Economics, Springer;Society for Computational Economics, vol. 57(2), pages 537-575, February.
    9. Zhidan Luo & Wei Guo & Qingfu Liu & Yiuman Tse, 2023. "A hybrid prediction model with time‐varying gain tracking differentiator in Taylor expansion: Evidence from precious metals," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(5), pages 1138-1149, August.
    10. Wei Sun & Ming Duan, 2019. "Analysis and Forecasting of the Carbon Price in China’s Regional Carbon Markets Based on Fast Ensemble Empirical Mode Decomposition, Phase Space Reconstruction, and an Improved Extreme Learning Machin," Energies, MDPI, vol. 12(2), pages 1-27, January.
    11. Lingohr, Daniel & Müller, Gernot, 2019. "Stochastic modeling of intraday photovoltaic power generation," Energy Economics, Elsevier, vol. 81(C), pages 175-186.
    12. Yang, Dongchuan & Guo, Ju-e & Li, Yanzhao & Sun, Shaolong & Wang, Shouyang, 2023. "Short-term load forecasting with an improved dynamic decomposition-reconstruction-ensemble approach," Energy, Elsevier, vol. 263(PA).
    13. Bangzhu Zhu & Jingyi Zhang & Chunzhuo Wan & Julien Chevallier & Ping Wang, 2023. "An evolutionary cost‐sensitive support vector machine for carbon price trend forecasting," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(4), pages 741-755, July.
    14. Kannika Duangnate & James W. Mjelde, 2020. "Prequential forecasting in the presence of structure breaks in natural gas spot markets," Empirical Economics, Springer, vol. 59(5), pages 2363-2384, November.
    15. Quande Qin & Huangda He & Li Li & Ling-Yun He, 2020. "A Novel Decomposition-Ensemble Based Carbon Price Forecasting Model Integrated with Local Polynomial Prediction," Computational Economics, Springer;Society for Computational Economics, vol. 55(4), pages 1249-1273, April.
    16. Bangzhu Zhu & Shunxin Ye & Ping Wang & Julien Chevallier & Yi‐Ming Wei, 2022. "Forecasting carbon price using a multi‐objective least squares support vector machine with mixture kernels," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 41(1), pages 100-117, January.
    17. Zhu, Bangzhu & Ye, Shunxin & Wang, Ping & He, Kaijian & Zhang, Tao & Wei, Yi-Ming, 2018. "A novel multiscale nonlinear ensemble leaning paradigm for carbon price forecasting," Energy Economics, Elsevier, vol. 70(C), pages 143-157.
    18. Ehsan Mansouri & Maeve Manfredi & Jong-Wan Hu, 2022. "Environmentally Friendly Concrete Compressive Strength Prediction Using Hybrid Machine Learning," Sustainability, MDPI, vol. 14(20), pages 1-17, October.
    19. Huang, Zhehao & Dong, Hao & Jia, Shuaishuai, 2022. "Equilibrium pricing for carbon emission in response to the target of carbon emission peaking," Energy Economics, Elsevier, vol. 112(C).
    20. Ren, Xiaohang & Duan, Kun & Tao, Lizhu & Shi, Yukun & Yan, Cheng, 2022. "Carbon prices forecasting in quantiles," Energy Economics, Elsevier, vol. 108(C).
    21. Zhao, Zhengling & Sun, Shaolong & Sun, Jingyun & Wang, Shouyang, 2024. "A novel hybrid model with two-layer multivariate decomposition for crude oil price forecasting," Energy, Elsevier, vol. 288(C).
    22. Meng, Anbo & Zhu, Jianbin & Yan, Baiping & Yin, Hao, 2024. "Day-ahead electricity price prediction in multi-price zones based on multi-view fusion spatio-temporal graph neural network," Applied Energy, Elsevier, vol. 369(C).
    23. Bangzhu Zhu & Shunxin Ye & Kaijian He & Julien Chevallier & Rui Xie, 2019. "Measuring the risk of European carbon market: an empirical mode decomposition-based value at risk approach," Annals of Operations Research, Springer, vol. 281(1), pages 373-395, October.
    24. Jiang Wu & Yu Chen & Tengfei Zhou & Taiyong Li, 2019. "An Adaptive Hybrid Learning Paradigm Integrating CEEMD, ARIMA and SBL for Crude Oil Price Forecasting," Energies, MDPI, vol. 12(7), pages 1-23, April.
    25. Jiang Wu & Feng Miu & Taiyong Li, 2020. "Daily Crude Oil Price Forecasting Based on Improved CEEMDAN, SCA, and RVFL: A Case Study in WTI Oil Market," Energies, MDPI, vol. 13(7), pages 1-20, April.
    26. Wang, Piao & Tao, Zhifu & Liu, Jinpei & Chen, Huayou, 2023. "Improving the forecasting accuracy of interval-valued carbon price from a novel multi-scale framework with outliers detection: An improved interval-valued time series analysis mode," Energy Economics, Elsevier, vol. 118(C).
    27. Shenghua Xiong & Chunfeng Wang & Zhenming Fang & Dan Ma, 2019. "Multi-Step-Ahead Carbon Price Forecasting Based on Variational Mode Decomposition and Fast Multi-Output Relevance Vector Regression Optimized by the Multi-Objective Whale Optimization Algorithm," Energies, MDPI, vol. 12(1), pages 1-21, January.
    28. Huang, Yumeng & Dai, Xingyu & Wang, Qunwei & Zhou, Dequn, 2021. "A hybrid model for carbon price forecastingusing GARCH and long short-term memory network," Applied Energy, Elsevier, vol. 285(C).
    29. Qin, Quande & Xie, Kangqiang & He, Huangda & Li, Li & Chu, Xianghua & Wei, Yi-Ming & Wu, Teresa, 2019. "An effective and robust decomposition-ensemble energy price forecasting paradigm with local linear prediction," Energy Economics, Elsevier, vol. 83(C), pages 402-414.
    30. Bangzhu Zhu & Ping Wang & Julien Chevallier & Yi‐Ming Wei, 2023. "Enriching the value‐at‐risk framework to ensemble empirical mode decomposition with an application to the European carbon market," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 28(3), pages 2975-2988, July.
    31. Jesús Molina‐Muñoz & Andrés Mora‐Valencia & Javier Perote, 2024. "Predicting carbon and oil price returns using hybrid models based on machine and deep learning," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 31(2), June.
    32. Zhu, Bangzhu & Han, Dong & Wang, Ping & Wu, Zhanchi & Zhang, Tao & Wei, Yi-Ming, 2017. "Forecasting carbon price using empirical mode decomposition and evolutionary least squares support vector regression," Applied Energy, Elsevier, vol. 191(C), pages 521-530.
    33. Wang, Jujie & Cui, Quan & He, Maolin, 2022. "Hybrid intelligent framework for carbon price prediction using improved variational mode decomposition and optimal extreme learning machine," Chaos, Solitons & Fractals, Elsevier, vol. 156(C).
    34. Wang, Jue & Athanasopoulos, George & Hyndman, Rob J. & Wang, Shouyang, 2018. "Crude oil price forecasting based on internet concern using an extreme learning machine," International Journal of Forecasting, Elsevier, vol. 34(4), pages 665-677.

  30. Xian Zhang & Ke Wang & Yu Hao & Yi-Ming Wei & Jing-Li Fan, 2016. "The impact of government policy on preference for NEVs: the evidence from China," CEEP-BIT Working Papers 88, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.

    Cited by:

    1. Xiaoxue Zheng & Haiyan Lin & Zhi Liu & Dengfeng Li & Carlos Llopis-Albert & Shouzhen Zeng, 2018. "Manufacturing Decisions and Government Subsidies for Electric Vehicles in China: A Maximal Social Welfare Perspective," Sustainability, MDPI, vol. 10(3), pages 1-28, March.
    2. Wang, Xiaoli & Huang, Lucheng & Daim, Tugrul & Li, Xin & Li, Zhiqiang, 2021. "Evaluation of China's new energy vehicle policy texts with quantitative and qualitative analysis," Technology in Society, Elsevier, vol. 67(C).
    3. Pasura Aungkulanon & Walailak Atthirawong & Pongchanun Luangpaiboon, 2023. "Fuzzy Analytical Hierarchy Process for Strategic Decision Making in Electric Vehicle Adoption," Sustainability, MDPI, vol. 15(8), pages 1-20, April.
    4. Wenbo Li & Ruyin Long & Hong Chen & Feiyu Chen & Xiao Zheng & Muyi Yang, 2019. "Effect of Policy Incentives on the Uptake of Electric Vehicles in China," Sustainability, MDPI, vol. 11(12), pages 1-20, June.
    5. Wenbo Li & Muyi Yang & Suwin Sandu, 2018. "Electric vehicles in China: A review of current policies," Energy & Environment, , vol. 29(8), pages 1512-1524, December.
    6. Chandra, Minal, 2022. "Investigating the impact of policies, socio-demography and national commitments on electric-vehicle demand: Cross-country study," Journal of Transport Geography, Elsevier, vol. 103(C).
    7. Tao Shu & Zhiyi Wang & Ling Lin & Huading Jia & Jixian Zhou, 2022. "Customer Perceived Risk Measurement with NLP Method in Electric Vehicles Consumption Market: Empirical Study from China," Energies, MDPI, vol. 15(5), pages 1-23, February.
    8. Sovacool, Benjamin K. & Abrahamse, Wokje & Zhang, Long & Ren, Jingzheng, 2019. "Pleasure or profit? Surveying the purchasing intentions of potential electric vehicle adopters in China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 124(C), pages 69-81.
    9. Mustafa Hamurcu & Tamer Eren, 2023. "Multicriteria decision making and goal programming for determination of electric automobile aimed at sustainable green environment: a case study," Environment Systems and Decisions, Springer, vol. 43(2), pages 211-231, June.
    10. Foroughi, Behzad & Nhan, Pham Viet & Iranmanesh, Mohammad & Ghobakhloo, Morteza & Nilashi, Mehrbakhsh & Yadegaridehkordi, Elaheh, 2023. "Determinants of intention to use autonomous vehicles: Findings from PLS-SEM and ANFIS," Journal of Retailing and Consumer Services, Elsevier, vol. 70(C).
    11. Hang Thu Nguyen & Tra Thi Dan Vu & Hiep Manh Nguyen & Michael Troege, 2022. "Political embeddedness and the adoption of environmental management practices: The mediating effects of institutional pressures," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 29(4), pages 965-983, July.
    12. Wang, Fei & Zhang, Zhentai & Lin, Shoufu, 2023. "Purchase intention of Autonomous vehicles and industrial Policies: Evidence from a national survey in China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 173(C).
    13. Wenbo Li & Ruyin Long & Hong Chen & Jichao Geng, 2017. "Household factors and adopting intention of battery electric vehicles: a multi-group structural equation model analysis among consumers in Jiangsu Province, China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 87(2), pages 945-960, June.
    14. Xia Li & Yi Peng & Qiqi He & Hongmei He & Song Xue, 2023. "Development of New-Energy Vehicles under the Carbon Peaking and Carbon Neutrality Strategy in China," Sustainability, MDPI, vol. 15(9), pages 1-11, May.
    15. Ye Yang & Zhongfu Tan, 2019. "Investigating the Influence of Consumer Behavior and Governmental Policy on the Diffusion of Electric Vehicles in Beijing, China," Sustainability, MDPI, vol. 11(24), pages 1-20, December.
    16. Li, Baozhu & Lv, Xiaotian & Chen, Jiaxin, 2024. "Demand and supply gap analysis of Chinese new energy vehicle charging infrastructure: Based on CNN-LSTM prediction model," Renewable Energy, Elsevier, vol. 220(C).
    17. Ahmad Saleh Ghadwan & Wan Marhaini Wan Ahmad & Mohamed Hisham Hanifa, 2023. "Financial Planning for Retirement: The Moderating Role of Government Policy," SAGE Open, , vol. 13(2), pages 21582440231, June.
    18. Feng, Xiao & Li, Yuyu & Huang, Bo, 2023. "Research on manufacturer's investment strategy and green credit policy for new energy vehicles based on consumers' preferences and technology adoption," Technological Forecasting and Social Change, Elsevier, vol. 191(C).
    19. Eunsung Kim & Eunnyeong Heo, 2019. "Key Drivers behind the Adoption of Electric Vehicle in Korea: An Analysis of the Revealed Preferences," Sustainability, MDPI, vol. 11(23), pages 1-15, December.
    20. Georgina Santos, 2018. "Sustainability and Shared Mobility Models," Sustainability, MDPI, vol. 10(9), pages 1-13, September.
    21. Santos, Georgina & Davies, Huw, 2020. "Incentives for quick penetration of electric vehicles in five European countries: Perceptions from experts and stakeholders," Transportation Research Part A: Policy and Practice, Elsevier, vol. 137(C), pages 326-342.
    22. Wang, Shanyong & Wang, Jing & Li, Jun & Wang, Jinpeng & Liang, Liang, 2018. "Policy implications for promoting the adoption of electric vehicles: Do consumer’s knowledge, perceived risk and financial incentive policy matter?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 117(C), pages 58-69.
    23. Jin, Tao & Jiang, Yulian & Liu, Xingwen, 2023. "Evolutionary game analysis of the impact of dynamic dual credit policy on new energy vehicles after subsidy cancellation," Applied Mathematics and Computation, Elsevier, vol. 440(C).
    24. Elena Higueras-Castillo & Sebastian Molinillo & J. Andres Coca-Stefaniak & Francisco Liébana-Cabanillas, 2020. "Potential Early Adopters of Hybrid and Electric Vehicles in Spain—Towards a Customer Profile," Sustainability, MDPI, vol. 12(11), pages 1-18, May.
    25. Li, Wenbo & Long, Ruyin & Chen, Hong & Yang, Tong & Geng, Jichao & Yang, Muyi, 2018. "Effects of personal carbon trading on the decision to adopt battery electric vehicles: Analysis based on a choice experiment in Jiangsu, China," Applied Energy, Elsevier, vol. 209(C), pages 478-488.
    26. Ishengoma, Esther K. & Gabriel, Genoveva, 2021. "Factors influencing the payment of costs of converting oil-to CNG-fuelled cars in a market dominated by used-cars," Energy Policy, Elsevier, vol. 156(C).
    27. Ma, Shao-Chao & Fan, Ying, 2020. "A deployment model of EV charging piles and its impact on EV promotion," Energy Policy, Elsevier, vol. 146(C).
    28. Zhang, Wenqing & Liu, Liangliang, 2022. "Exploring non-users' intention to adopt ride-sharing services: Taking into account increased risks due to the COVID-19 pandemic among other factors," Transportation Research Part A: Policy and Practice, Elsevier, vol. 158(C), pages 180-195.
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    47. Muhammad Yaseen Bhutto & Mussadiq Ali Khan & Myriam Ertz & Haowei Sun, 2022. "Investigating the Role of Ethical Self-Identity and Its Effect on Consumption Values and Intentions to Adopt Green Vehicles among Generation Z," Sustainability, MDPI, vol. 14(5), pages 1-18, March.
    48. Jingyang Chen & Qin Liu, 2023. "The Green Consumption Behavior Process Mechanism of New Energy Vehicles Driven by Big Data—From a Metacognitive Perspective," Sustainability, MDPI, vol. 15(10), pages 1-20, May.
    49. Peng Cheng & Zhe Ouyang & Yang Liu, 2020. "The effect of information overload on the intention of consumers to adopt electric vehicles," Transportation, Springer, vol. 47(5), pages 2067-2086, October.
    50. Wolf, Ingo & Schröder, Tobias & Neumann, Jochen & de Haan, Gerhard, 2015. "Changing minds about electric cars: An empirically grounded agent-based modeling approach," Technological Forecasting and Social Change, Elsevier, vol. 94(C), pages 269-285.
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    52. Jia Yao & Siqin Xiong & Xiaoming Ma, 2020. "Comparative Analysis of National Policies for Electric Vehicle Uptake Using Econometric Models," Energies, MDPI, vol. 13(14), pages 1-18, July.
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    54. Robert M. Bridi & Marwa Ben Jabra & Naeema Al Hosani, 2022. "An Examination of Consumers’ Opinions toward Adopting Electric Vehicles in the United Arab Emirates: On the Effects of Functional and Symbolic Values," Energies, MDPI, vol. 15(16), pages 1-19, August.
    55. Jingnan Zhang & Shichun Xu & Zhengxia He & Chengze Li & Xiaona Meng, 2022. "Factors Influencing Adoption Intention for Electric Vehicles under a Subsidy Deduction: From Different City-Level Perspectives," Sustainability, MDPI, vol. 14(10), pages 1-24, May.
    56. Yuan, Xiaodong & Cai, Yuchen, 2021. "Forecasting the development trend of low emission vehicle technologies: Based on patent data," Technological Forecasting and Social Change, Elsevier, vol. 166(C).
    57. Lv, Zhe & Zhao, Wenjia & Liu, Yu & Wu, Jie & Hou, Mutian, 2024. "Impact of perceived value, positive emotion, product coolness and Mianzi on new energy vehicle purchase intention," Journal of Retailing and Consumer Services, Elsevier, vol. 76(C).
    58. Grangeia, Carolina & Santos, Luan & Ferreira, Daniel Viana & Guimarães, Raphael & de Magalhães Ozorio, Luiz & Tavares, Arthur, 2023. "Energy transition scenarios in the transportation sector in Brazil: Contributions from the electrical mobility," Energy Policy, Elsevier, vol. 174(C).
    59. Shanyong Wang & Jin Fan & Dingtao Zhao & Shu Yang & Yuanguang Fu, 2016. "Predicting consumers’ intention to adopt hybrid electric vehicles: using an extended version of the theory of planned behavior model," Transportation, Springer, vol. 43(1), pages 123-143, January.
    60. Ruyu Xie & Liren An & Nosheena Yasir, 2022. "How Innovative Characteristics Influence Consumers’ Intention to Purchase Electric Vehicle: A Moderating Role of Lifestyle," Sustainability, MDPI, vol. 14(8), pages 1-24, April.
    61. Zhang, Lei & Qin, Quande, 2018. "China’s new energy vehicle policies: Evolution, comparison and recommendation," Transportation Research Part A: Policy and Practice, Elsevier, vol. 110(C), pages 57-72.
    62. Zhang, Junjie & Jia, Rongwen & Yang, Hangjun & Dong, Kangyin, 2022. "Does electric vehicle promotion in the public sector contribute to urban transport carbon emissions reduction?," Transport Policy, Elsevier, vol. 125(C), pages 151-163.
    63. Kumar Shalender & Naman Sharma, 2021. "Using extended theory of planned behaviour (TPB) to predict adoption intention of electric vehicles in India," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(1), pages 665-681, January.
    64. Miaomiao Ma & Weidong Meng & Yuyu Li & Bo Huang, 2021. "Supply chain coordination strategy for NEVs based on supplier alliance under dual-credit policy," PLOS ONE, Public Library of Science, vol. 16(10), pages 1-36, October.
    65. Kim, Moon-Koo & Oh, Jeesun & Park, Jong-Hyun & Joo, Changlim, 2018. "Perceived value and adoption intention for electric vehicles in Korea: Moderating effects of environmental traits and government supports," Energy, Elsevier, vol. 159(C), pages 799-809.
    66. Ye, Fei & Kang, Wanlin & Li, Lixu & Wang, Zhiqiang, 2021. "Why do consumers choose to buy electric vehicles? A paired data analysis of purchase intention configurations," Transportation Research Part A: Policy and Practice, Elsevier, vol. 147(C), pages 14-27.
    67. Wenbo Li & Ruyin Long & Hong Chen & Baoqi Dou & Feiyu Chen & Xiao Zheng & Zhengxia He, 2020. "Public Preference for Electric Vehicle Incentive Policies in China: A Conjoint Analysis," IJERPH, MDPI, vol. 17(1), pages 1-16, January.
    68. Feiyu Chen & Fang Wang & Jing Hou, 2020. "Individual Preference Framework or Group Preference Framework? Which Will Regulate the Impact Path of Product Facilities on Residents’ Waste-Sorting Behavior Better," IJERPH, MDPI, vol. 17(7), pages 1-19, March.
    69. Chen, Ching-Fu & Eccarius, Timo & Su, Pin-Chi, 2021. "The role of environmental concern in forming intentions for switching to electric scooters," Transportation Research Part A: Policy and Practice, Elsevier, vol. 154(C), pages 129-144.
    70. Hu, Xiaosong & Zou, Yuan & Yang, Yalian, 2016. "Greener plug-in hybrid electric vehicles incorporating renewable energy and rapid system optimization," Energy, Elsevier, vol. 111(C), pages 971-980.
    71. Wang, Shanyong & Li, Jun & Zhao, Dingtao, 2017. "The impact of policy measures on consumer intention to adopt electric vehicles: Evidence from China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 105(C), pages 14-26.
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    73. Suchi Kapoor Malhotra & Howard White & Nina Ashley O. Dela Cruz & Ashrita Saran & John Eyers & Denny John & Ella Beveridge & Nina Blöndal, 2021. "Studies of the effectiveness of transport sector interventions in low‐ and middle‐income countries: An evidence and gap map," Campbell Systematic Reviews, John Wiley & Sons, vol. 17(4), December.
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    75. Liangui Peng & Ying Li & Hui Yu, 2021. "Effects of Dual Credit Policy and Consumer Preferences on Production Decisions in Automobile Supply Chain," Sustainability, MDPI, vol. 13(11), pages 1-19, May.
    76. Francesco Testa & Gaia Pretner & Roberta Iovino & Guia Bianchi & Sara Tessitore & Fabio Iraldo, 2021. "Drivers to green consumption: a systematic review," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(4), pages 4826-4880, April.
    77. Han-Shen Chen & Bi-Kun Tsai & Chi-Ming Hsieh, 2018. "The Effects of Perceived Barriers on Innovation Resistance of Hydrogen-Electric Motorcycles," Sustainability, MDPI, vol. 10(6), pages 1-15, June.
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    79. Ye, Rui-Ke & Gao, Zhuang-Fei & Fang, Kai & Liu, Kang-Li & Chen, Jia-Wei, 2021. "Moving from subsidy stimulation to endogenous development: A system dynamics analysis of China's NEVs in the post-subsidy era," Technological Forecasting and Social Change, Elsevier, vol. 168(C).
    80. Ziwen Ling & Christopher R. Cherry & Yi Wen, 2021. "Determining the Factors That Influence Electric Vehicle Adoption: A Stated Preference Survey Study in Beijing, China," Sustainability, MDPI, vol. 13(21), pages 1-22, October.
    81. Cruz-Jesus, Frederico & Figueira-Alves, Hugo & Tam, Carlos & Pinto, Diego Costa & Oliveira, Tiago & Venkatesh, Viswanath, 2023. "Pragmatic and idealistic reasons: What drives electric vehicle drivers' satisfaction and continuance intention?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 170(C).
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    88. Zulfiqar Ali Lashari & Joonho Ko & Junseok Jang, 2021. "Consumers’ Intention to Purchase Electric Vehicles: Influences of User Attitude and Perception," Sustainability, MDPI, vol. 13(12), pages 1-14, June.
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  31. Hao Chen & Bao-Jun Tang & Hua Liao & Yi-Ming Wei, 2016. "A multi-period power generation planning model incorporating the non-carbon external costs: A case study of China," CEEP-BIT Working Papers 97, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.

    Cited by:

    1. Xiao, Jin & Li, Guohao & Xie, Ling & Wang, Shouyang & Yu, Lean, 2021. "Decarbonizing China's power sector by 2030 with consideration of technological progress and cross-regional power transmission," Energy Policy, Elsevier, vol. 150(C).
    2. Fitiwi, Desta & Lynch, Muireann Á. & Bertsch, Valentin, 2019. "Optimal development of electricity generation mix considering fossil fuel phase-out and strategic multi-area interconnection," Papers WP616, Economic and Social Research Institute (ESRI).
    3. Fan, Jing-Li & Wang, Jia-Xing & Hu, Jia-Wei & Wang, Yu & Zhang, Xian, 2019. "Optimization of China’s provincial renewable energy installation plan for the 13th five-year plan based on renewable portfolio standards," Applied Energy, Elsevier, vol. 254(C).
    4. Hao Chen & Chi Kong Chyong & Jia-Ning Kang & Yi-Ming Wei, 2018. "Economic dispatch in the electricity sector in China: potential benefits and challenges ahead," Working Papers EPRG 1819, Energy Policy Research Group, Cambridge Judge Business School, University of Cambridge.
    5. Chen, Siyuan & Liu, Pei & Li, Zheng, 2019. "Multi-regional power generation expansion planning with air pollutants emission constraints," Renewable and Sustainable Energy Reviews, Elsevier, vol. 112(C), pages 382-394.
    6. Chen, Hao & Cui, Jian & Song, Feng & Jiang, Zhigao, 2022. "Evaluating the impacts of reforming and integrating China's electricity sector," Energy Economics, Elsevier, vol. 108(C).
    7. Lee, Jui-Yuan, 2017. "A multi-period optimisation model for planning carbon sequestration retrofits in the electricity sector," Applied Energy, Elsevier, vol. 198(C), pages 12-20.
    8. Cui, Qi & He, Ling & Han, Guoyi & Chen, Hao & Cao, Juanjuan, 2020. "Review on climate and water resource implications of reducing renewable power curtailment in China: A nexus perspective," Applied Energy, Elsevier, vol. 267(C).
    9. Chen, Hao & Kang, Jia-Ning & Liao, Hua & Tang, Bao-Jun & Wei, Yi-Ming, 2017. "Costs and potentials of energy conservation in China's coal-fired power industry: A bottom-up approach considering price uncertainties," Energy Policy, Elsevier, vol. 104(C), pages 23-32.
    10. Afful-Dadzie, Anthony & Afful-Dadzie, Eric & Awudu, Iddrisu & Banuro, Joseph Kwaku, 2017. "Power generation capacity planning under budget constraint in developing countries," Applied Energy, Elsevier, vol. 188(C), pages 71-82.
    11. Pereira, Sérgio & Ferreira, Paula & Vaz, A.I.F., 2017. "Generation expansion planning with high share of renewables of variable output," Applied Energy, Elsevier, vol. 190(C), pages 1275-1288.
    12. Jing-Ming Chen & Biying Yu & Yi-Ming Wei, 2019. "CO2 emissions accounting for the chemical industry: an empirical analysis for China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 99(3), pages 1327-1343, December.
    13. Song Xu & Yiu Hin Martin Lu & Meiheriayi Mutailipu & Kanti Yan & Yaoli Zhang & Staffan Qvist, 2022. "Repowering Coal Power in China by Nuclear Energy—Implementation Strategy and Potential," Energies, MDPI, vol. 15(3), pages 1-27, January.
    14. Trotter, Philipp A. & Cooper, Nathanial J. & Wilson, Peter R., 2019. "A multi-criteria, long-term energy planning optimisation model with integrated on-grid and off-grid electrification – The case of Uganda," Applied Energy, Elsevier, vol. 243(C), pages 288-312.
    15. Tang, Bao-Jun & Li, Ru & Li, Xiao-Yi & Chen, Hao, 2017. "An optimal production planning model of coal-fired power industry in China: Considering the process of closing down inefficient units and developing CCS technologies," Applied Energy, Elsevier, vol. 206(C), pages 519-530.
    16. Carlos Roberto de Sousa Costa & Paula Ferreira, 2023. "A Review on the Internalization of Externalities in Electricity Generation Expansion Planning," Energies, MDPI, vol. 16(4), pages 1-19, February.
    17. Guangxiao Hu & Xiaoming Ma & Junping Ji, 2017. "A Stochastic Optimization Model for Carbon Mitigation Path under Demand Uncertainty of the Power Sector in Shenzhen, China," Sustainability, MDPI, vol. 9(11), pages 1-12, October.
    18. Chandra Ade Irawan & Peter S. Hofman & Hing Kai Chan & Antony Paulraj, 2022. "A stochastic programming model for an energy planning problem: formulation, solution method and application," Annals of Operations Research, Springer, vol. 311(2), pages 695-730, April.
    19. Zhang, Shuang & Zhao, Tao & Xie, Bai-Chen, 2018. "What is the optimal power generation mix of China? An empirical analysis using portfolio theory," Applied Energy, Elsevier, vol. 229(C), pages 522-536.
    20. Chen, Hao & Gao, Xin-Ya & Liu, Jian-Yu & Zhang, Qian & Yu, Shiwei & Kang, Jia-Ning & Yan, Rui & Wei, Yi-Ming, 2020. "The grid parity analysis of onshore wind power in China: A system cost perspective," Renewable Energy, Elsevier, vol. 148(C), pages 22-30.
    21. Tang, Baojun & Li, Ru & Yu, Biying & An, Runying & Wei, Yi-Ming, 2018. "How to peak carbon emissions in China's power sector: A regional perspective," Energy Policy, Elsevier, vol. 120(C), pages 365-381.
    22. Yang, Xueqin & Li, Hailong & Wallin, Fredrik & Yu, Zhixin & Wang, Zhen, 2017. "Impacts of emission reduction and external cost on natural gas distribution," Applied Energy, Elsevier, vol. 207(C), pages 553-561.
    23. Liang, Yuanyuan & Yu, Biying & Wang, Lu, 2019. "Costs and benefits of renewable energy development in China's power industry," Renewable Energy, Elsevier, vol. 131(C), pages 700-712.
    24. Fitiwi, Desta Z. & Lynch, Muireann & Bertsch, Valentin, 2020. "Enhanced network effects and stochastic modelling in generation expansion planning: Insights from an insular power system," Socio-Economic Planning Sciences, Elsevier, vol. 71(C).
    25. Erdong Zhao & Jianmin Chen & Junmei Lan & Liwei Liu, 2024. "Power Generation Mix Optimization under Auction Mechanism for Carbon Emission Rights," Energies, MDPI, vol. 17(3), pages 1-24, January.
    26. Peng Wang & Chunsheng Wang & Yukun Hu & Liz Varga & Wei Wang, 2018. "Power Generation Expansion Optimization Model Considering Multi-Scenario Electricity Demand Constraints: A Case Study of Zhejiang Province, China," Energies, MDPI, vol. 11(6), pages 1-15, June.
    27. Yi, Bo-Wen & Xu, Jin-Hua & Fan, Ying, 2016. "Inter-regional power grid planning up to 2030 in China considering renewable energy development and regional pollutant control: A multi-region bottom-up optimization model," Applied Energy, Elsevier, vol. 184(C), pages 641-658.
    28. Yang Liu & Congrui Zhang & Yingying Huang & Zhixiong Xiao & Yaxuan Han & Gaofeng Ren, 2021. "Climate Impact of China’s Promotion of the Filling Mining Method: Bottom-Up Estimation of Greenhouse Gas Emissions in Underground Metal Mines," Energies, MDPI, vol. 14(11), pages 1-17, June.
    29. Wei, Yi-Ming & Chen, Hao & Chyong, Chi Kong & Kang, Jia-Ning & Liao, Hua & Tang, Bao-Jun, 2018. "Economic dispatch savings in the coal-fired power sector: An empirical study of China," Energy Economics, Elsevier, vol. 74(C), pages 330-342.
    30. Wang, Yongpei & Yan, Weilong & Komonpipat, Supak, 2019. "How does the capacity utilization of thermal power generation affect pollutant emissions? Evidence from the panel data of China's provinces," Energy Policy, Elsevier, vol. 132(C), pages 440-451.
    31. Chen, Jing-Ming & Yu, Biying & Wei, Yi-Ming, 2018. "Energy technology roadmap for ethylene industry in China," Applied Energy, Elsevier, vol. 224(C), pages 160-174.
    32. Chen, Hao & Geng, Hao-Peng & Ling, Hui-Ting & Peng, Song & Li, Nan & Yu, Shiwei & Wei, Yi-Ming, 2020. "Modeling the coal-to-gas switch potentials in the power sector: A case study of China," Energy, Elsevier, vol. 192(C).

  32. Ke Wang & Yujiao Xian & Yi-Ming Wei & Zhimin Huang, 2016. "Sources of carbon productivity change: A decomposition and disaggregation analysis based on global Luenberger productivity indicator and endogenous directional distance function," CEEP-BIT Working Papers 91, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.

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    1. Xiaodan Gao & Yinhui Wang, 2023. "From Investment to the Environment: Exploring the Relationship between the Coordinated Development of Two-Way FDI and Carbon Productivity under Fiscal Decentralization," Sustainability, MDPI, vol. 16(1), pages 1-20, December.
    2. Chen, Xiang & Chen, Yong & Huang, Wenli & Zhang, Xuping, 2023. "A new Malmquist-type green total factor productivity measure: An application to China," Energy Economics, Elsevier, vol. 117(C).
    3. Juan Aparicio & Jose Manuel Cordero & Carlos Díaz-Caro, 2020. "Efficiency and productivity change of regional tax offices in Spain: an empirical study using Malmquist–Luenberger and Luenberger indices," Empirical Economics, Springer, vol. 59(3), pages 1403-1434, September.
    4. Ke Wang & Yujiao Xian & Chia-Yen Lee & Yi-Ming Wei & Zhimin Huang, 2019. "On selecting directions for directional distance functions in a non-parametric framework: a review," Annals of Operations Research, Springer, vol. 278(1), pages 43-76, July.
    5. Nakaishi, Tomoaki & Chapman, Andrew & Kagawa, Shigemi, 2022. "Shedding Light on the energy-related social equity of nations toward a just transition," Socio-Economic Planning Sciences, Elsevier, vol. 83(C).
    6. Yujiao Xian & Ke Wang & Xunpeng Shi & Chi Zhang & Yi-Ming Wei & Zhimin Huang, 2018. "Carbon emissions intensity reduction target for China¡¯s power industry: An efficiency and productivity perspective," CEEP-BIT Working Papers 117, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
    7. Wei Sun & Hua Cai & Yuwei Wang, 2018. "Refined Laspeyres Decomposition-Based Analysis of Relationship between Economy and Electric Carbon Productivity from the Provincial Perspective—Development Mode and Policy," Energies, MDPI, vol. 11(12), pages 1-20, December.
    8. Amer Ait Sidhoum, 2023. "Measuring farm productivity under production uncertainty," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 67(4), pages 672-687, October.
    9. Wang, Ke & Wei, Yi-Ming & Huang, Zhimin, 2018. "Environmental efficiency and abatement efficiency measurements of China's thermal power industry: A data envelopment analysis based materials balance approach," European Journal of Operational Research, Elsevier, vol. 269(1), pages 35-50.
    10. Ke Wang & Yi-Ming Wei & Zhimin Huang, 2017. "Environmental efficiency and abatement efficiency measurements of China¡¯s thermal power industry: A data envelopment analysis based materials balance approach," CEEP-BIT Working Papers 108, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
    11. Zuoren Sun & Chao An & Huachen Sun, 2018. "Regional Differences in Energy and Environmental Performance: An Empirical Study of 283 Cities in China," Sustainability, MDPI, vol. 10(7), pages 1-28, July.
    12. Miao, Zhuang & Baležentis, Tomas & Shao, Shuai & Chang, Dongfeng, 2019. "Energy use, industrial soot and vehicle exhaust pollution—China's regional air pollution recognition, performance decomposition and governance," Energy Economics, Elsevier, vol. 83(C), pages 501-514.
    13. Justas Streimikis & Zhuang Miao & Tomas Balezentis, 2021. "Creation of climate‐smart and energy‐efficient agriculture in the European Union: Pathways based on the frontier analysis," Business Strategy and the Environment, Wiley Blackwell, vol. 30(1), pages 576-589, January.
    14. Pan, Xiongfeng & Li, Mengna & Wang, Mengyang & Chu, Junhui & Bo, Hongguang, 2020. "The effects of outward foreign direct investment and reverse technology spillover on China's carbon productivity," Energy Policy, Elsevier, vol. 145(C).
    15. Chen, Xu & Xu, Huilin & Zhang, Liang & Cao, Huiping, 2022. "Spatial functional division, infrastructure and carbon emissions: Evidence from China," Energy, Elsevier, vol. 256(C).
    16. Ke Wang & Jieming Zhang & Yi-Ming Wei, 2017. "Operational and environmental performance in China¡¯s thermal power industry: Taking an effectiveness measure as complement to an efficiency measure," CEEP-BIT Working Papers 100, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
    17. Mingjuan Ma & Shuifa Ke & Qiang Li & Yaqi Wu, 2023. "Towards Carbon Neutrality: A Comprehensive Analysis on Total Factor Carbon Productivity of the Yellow River Basin, China," Sustainability, MDPI, vol. 15(8), pages 1-23, April.

  33. Hua Liao & Jia-Wei Cai & Dong-Wei Yang & Yi-Ming Wei, 2016. "Why did the historical energy forecasting succeed or fail? A case study on IEA¡¯s projection," CEEP-BIT Working Papers 92, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.

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    1. Wen, Xin & Jaxa-Rozen, Marc & Trutnevyte, Evelina, 2022. "Accuracy indicators for evaluating retrospective performance of energy system models," Applied Energy, Elsevier, vol. 325(C).
    2. Jun Hao & Xiaolei Sun & Qianqian Feng, 2020. "A Novel Ensemble Approach for the Forecasting of Energy Demand Based on the Artificial Bee Colony Algorithm," Energies, MDPI, vol. 13(3), pages 1-25, January.
    3. Wang, Fangzhi & Liao, Hua, 2022. "Unexpected economic growth and oil price shocks," Energy Economics, Elsevier, vol. 116(C).
    4. Yuan, Xiao-Chen & Sun, Xun & Zhao, Weigang & Mi, Zhifu & Wang, Bing & Wei, Yi-Ming, 2017. "Forecasting China’s regional energy demand by 2030: A Bayesian approach," Resources, Conservation & Recycling, Elsevier, vol. 127(C), pages 85-95.
    5. Wachtmeister, Henrik & Henke, Petter & Höök, Mikael, 2018. "Oil projections in retrospect: Revisions, accuracy and current uncertainty," Applied Energy, Elsevier, vol. 220(C), pages 138-153.

  34. Mi, Zhifu & Zhang, Yunkun & Guan, Dabo & Shan, Yuli & Liu, Zhu & Cong, Rong-Gang & Yuan, Xiaochen & Wei, Yi-Ming, 2016. "Consumption-based emission accounting for Chinese cities," MPRA Paper 112151, University Library of Munich, Germany.

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    1. Zheng, Shuxian & Zhou, Xuanru & Tan, Zhanglu & Liu, Chan & Hu, Han & Yuan, Hui & Peng, Shengnan & Cai, Xiaomei, 2023. "Assessment of the global energy transition: Based on trade embodied energy analysis," Energy, Elsevier, vol. 273(C).
    2. Zhong, Zhangqi & Guo, Zhifang & Zhang, Jianwu, 2021. "Does the participation in global value chains promote interregional carbon emissions transferring via trade? Evidence from 39 major economies," Technological Forecasting and Social Change, Elsevier, vol. 169(C).
    3. Yan Wang & Weihua Xiao & Yicheng Wang & Baodeng Hou & Heng Yang & Xuelei Zhang & Mingzhi Yang & Lishan Zhu, 2018. "Exploring City Development Modes under the Dual Control of Water Resources and Energy-Related CO 2 Emissions: The Case of Beijing, China," Sustainability, MDPI, vol. 10(9), pages 1-16, September.
    4. Rauf, Abdul & Zhang, Jin & Li, Jinkai & Amin, Waqas, 2018. "Structural changes, energy consumption and carbon emissions in China: Empirical evidence from ARDL bound testing model," Structural Change and Economic Dynamics, Elsevier, vol. 47(C), pages 194-206.
    5. Zhang, Lulu & Yu, Chang & Cheng, Baodong & Yang, Chao & Chang, Yuan, 2020. "Mitigating climate change by global timber carbon stock: Accounting, flow and allocation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 131(C).
    6. Pinyi Su & Muhammad Imran & Muhammad Nadeem & Shamsheer ul Haq, 2023. "The Role of Environmental Law in Farmers’ Environment-Protecting Intentions and Behavior Based on Their Legal Cognition: A Case Study of Jiangxi Province, China," Sustainability, MDPI, vol. 15(11), pages 1-22, May.
    7. Sun, Lu & Liu, Wenjing & Li, Zhaoling & Cai, Bofeng & Fujii, Minoru & Luo, Xiao & Chen, Wei & Geng, Yong & Fujita, Tsuyoshi & Le, Yiping, 2021. "Spatial and structural characteristics of CO2 emissions in East Asian megacities and its indication for low-carbon city development," Applied Energy, Elsevier, vol. 284(C).
    8. Hehua Zhao & Hongwen Chen & Ying Fang & Apei Song, 2022. "Transfer Characteristics of Embodied Carbon Emissions in Export Trade—Evidence from China," Sustainability, MDPI, vol. 14(13), pages 1-21, June.
    9. Wang, Miao & Feng, Chao, 2021. "The consequences of industrial restructuring, regional balanced development, and market-oriented reform for China's carbon dioxide emissions: A multi-tier meta-frontier DEA-based decomposition analysi," Technological Forecasting and Social Change, Elsevier, vol. 164(C).
    10. Jiang, Yida & Long, Yin & Liu, Qiaoling & Dowaki, Kiyoshi & Ihara, Tomohiko, 2020. "Carbon emission quantification and decarbonization policy exploration for the household sector - Evidence from 51 Japanese cities," Energy Policy, Elsevier, vol. 140(C).
    11. Chen, B. & Yang, Q. & Zhou, Sili & Li, J.S. & Chen, G.Q., 2017. "Urban economy's carbon flow through external trade: Spatial-temporal evolution for Macao," Energy Policy, Elsevier, vol. 110(C), pages 69-78.
    12. Xiaokang Yang & Junbing Xu & Minling Zhu & Yinglong Yang, 2022. "Environmental regulation and corporate tax avoidance—Evidence from China," PLOS ONE, Public Library of Science, vol. 17(1), pages 1-12, January.
    13. Ding, Qun & Cai, Wenjia & Wang, Can & Sanwal, Mukul, 2017. "The relationships between household consumption activities and energy consumption in china— An input-output analysis from the lifestyle perspective," Applied Energy, Elsevier, vol. 207(C), pages 520-532.
    14. Yongyou Nie & Yunhuan Gao & He He, 2022. "Modelling Structural Effect and Linkage on Carbon Emissions in China: An Environmentally Extended Semi-Closed Ghosh Input–Output Model," Energies, MDPI, vol. 15(17), pages 1-17, August.
    15. Cai, Bofeng & Cui, Can & Zhang, Da & Cao, Libin & Wu, Pengcheng & Pang, Lingyun & Zhang, Jihong & Dai, Chunyan, 2019. "China city-level greenhouse gas emissions inventory in 2015 and uncertainty analysis," Applied Energy, Elsevier, vol. 253(C), pages 1-1.
    16. Xuewei Zhang & Xiaoqing Ai & Xiaoxiang Wang & Gang Zong & Jinghao Zhang, 2023. "A Study on the Effects of Digital Finance on Green Low-Carbon Circular Development Based on Machine Learning Models," Mathematics, MDPI, vol. 11(18), pages 1-16, September.
    17. Zhang, Yue-Jun & Peng, Hua-Rong, 2017. "Exploring the direct rebound effect of residential electricity consumption: An empirical study in China," Applied Energy, Elsevier, vol. 196(C), pages 132-141.
    18. Xue, Ruoyu & Wang, Shanshan & Long, Wenqi & Gao, Gengyu & Liu, Donghui & Zhang, Ruiqin, 2021. "Uncovering GHG emission characteristics of industrial parks in Central China via emission inventory and cluster analysis," Energy Policy, Elsevier, vol. 151(C).
    19. Jianghua Liu & Mengxu Li & Yitao Ding, 2021. "Econometric analysis of the impact of the urban population size on carbon dioxide (CO2) emissions in China," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(12), pages 18186-18203, December.
    20. Liu, Qianqian & Wang, Shaojian & Zhang, Wenzhong & Li, Jiaming & Kong, Yunlong, 2019. "Examining the effects of income inequality on CO2 emissions: Evidence from non-spatial and spatial perspectives," Applied Energy, Elsevier, vol. 236(C), pages 163-171.
    21. Zhang, Yongping & Mi, Zhifu, 2018. "Environmental benefits of bike sharing: A big data-based analysis," Applied Energy, Elsevier, vol. 220(C), pages 296-301.
    22. Wang, Jie & Xiong, Yiling & Tian, Xin & Liu, Shangwei & Li, Jiashuo & Tanikawa, Hiroki, 2018. "Stagnating CO2 emissions with in-depth socioeconomic transition in Beijing," Applied Energy, Elsevier, vol. 228(C), pages 1714-1725.
    23. Hehua Zhao & Hongwen Chen & Lei He, 2022. "Embodied Carbon Emissions and Regional Transfer Characteristics—Evidence from China," Sustainability, MDPI, vol. 14(4), pages 1-20, February.
    24. Jinzhao Song & Qing Feng & Xiaoping Wang & Hanliang Fu & Wei Jiang & Baiyu Chen, 2018. "Spatial Association and Effect Evaluation of CO 2 Emission in the Chengdu-Chongqing Urban Agglomeration: Quantitative Evidence from Social Network Analysis," Sustainability, MDPI, vol. 11(1), pages 1-19, December.
    25. Liao, Haolan & Wu, Di & Wang, Yuhan & Lyu, Zeyu & Sun, Hongmei & Nie, Yongyou & He, He, 2022. "Impacts of carbon trading mechanism on closed-loop supply chain: A case study of stringer pallet remanufacturing," Socio-Economic Planning Sciences, Elsevier, vol. 81(C).
    26. Xiao, Hongwei & Ma, Zhongyu & Mi, Zhifu & Kelsey, John & Zheng, Jiali & Yin, Weihua & Yan, Min, 2018. "Spatio-temporal simulation of energy consumption in China's provinces based on satellite night-time light data," Applied Energy, Elsevier, vol. 231(C), pages 1070-1078.
    27. Chen, Guangwu & Wiedmann, Thomas & Wang, Yafei & Hadjikakou, Michalis, 2016. "Transnational city carbon footprint networks – Exploring carbon links between Australian and Chinese cities," Applied Energy, Elsevier, vol. 184(C), pages 1082-1092.
    28. Chunli Jin & Qiaoqiao Zhu & Hui Sun, 2023. "Temporal and Spatial Divergence of Embodied Carbon Emissions Transfer and the Drivers—Evidence from China’s Domestic Trade," Sustainability, MDPI, vol. 15(9), pages 1-19, May.
    29. Wang, Miao & Feng, Chao, 2017. "Analysis of energy-related CO2 emissions in China’s mining industry: Evidence and policy implications," Resources Policy, Elsevier, vol. 53(C), pages 77-87.
    30. Qi Wang & Jiejun Huang & Han Zhou & Jiaqi Sun & Mingkun Yao, 2022. "Carbon Emission Inversion Model from Provincial to Municipal Scale Based on Nighttime Light Remote Sensing and Improved STIRPAT," Sustainability, MDPI, vol. 14(11), pages 1-17, June.
    31. Zhu, Qingyuan & Xu, Chengzhen & Pan, Yinghao & Wu, Jie, 2024. "Identifying critical transmission sectors, paths, and carbon communities for CO2 mitigation in global supply chains," Renewable and Sustainable Energy Reviews, Elsevier, vol. 191(C).
    32. Li, Li & Shan, Yuli & Lei, Yalin & Wu, Sanmang & Yu, Xiang & Lin, Xiyan & Chen, Yupei, 2019. "Decoupling of economic growth and emissions in China’s cities: A case study of the Central Plains urban agglomeration," Applied Energy, Elsevier, vol. 244(C), pages 36-45.
    33. Cai, Bofeng & Lu, Jun & Wang, Jinnan & Dong, Huijuan & Liu, Xiaoman & Chen, Yang & Chen, Zhanming & Cong, Jianhui & Cui, Zhipeng & Dai, Chunyan & Fang, Kai & Feng, Tong & Guo, Jie & Li, Fen & Meng, Fa, 2019. "A benchmark city-level carbon dioxide emission inventory for China in 2005," Applied Energy, Elsevier, vol. 233, pages 659-673.
    34. Lin, Boqiang & Ma, Ruiyang, 2022. "Green technology innovations, urban innovation environment and CO2 emission reduction in China: Fresh evidence from a partially linear functional-coefficient panel model," Technological Forecasting and Social Change, Elsevier, vol. 176(C).
    35. Junbo Wang & Liu Chen & Lu Chen & Xiaohui Zhao & Minxi Wang & Yiyi Ju & Li Xin, 2019. "City-Level Features of Energy Footprints and Carbon Dioxide Emissions in Sichuan Province of China," Energies, MDPI, vol. 12(10), pages 1-14, May.
    36. Lin, Jianyi & Hu, Yuanchao & Zhao, Xiaofeng & Shi, Longyu & Kang, Jiefeng, 2017. "Developing a city-centric global multiregional input-output model (CCG-MRIO) to evaluate urban carbon footprints," Energy Policy, Elsevier, vol. 108(C), pages 460-466.
    37. Zhixin Zhang & Min Chen & Teng Zhong & Rui Zhu & Zhen Qian & Fan Zhang & Yue Yang & Kai Zhang & Paolo Santi & Kaicun Wang & Yingxia Pu & Lixin Tian & Guonian Lü & Jinyue Yan, 2023. "Carbon mitigation potential afforded by rooftop photovoltaic in China," Nature Communications, Nature, vol. 14(1), pages 1-12, December.
    38. Song, Yi & Huang, Jian-Bai & Feng, Chao, 2018. "Decomposition of energy-related CO2 emissions in China's iron and steel industry: A comprehensive decomposition framework," Resources Policy, Elsevier, vol. 59(C), pages 103-116.
    39. Joao Meirelles & Fabiano L. Ribeiro & Gabriel Cury & Claudia R. Binder & Vinicius M. Netto, 2021. "More from Less? Environmental Rebound Effects of City Size," Sustainability, MDPI, vol. 13(7), pages 1-20, April.
    40. Hong, Jingke & Gu, Jianping & Liang, Xin & Liu, Guiwen & Shen, Geoffrey Qiping & Tang, Miaohan, 2019. "Spatiotemporal investigation of energy network patterns of agglomeration economies in China: Province-level evidence," Energy, Elsevier, vol. 187(C).
    41. Tang, Miaohan & Hong, Jingke & Liu, Guiwen & Shen, Geoffrey Qiping, 2019. "Exploring energy flows embodied in China's economy from the regional and sectoral perspectives via combination of multi-regional input–output analysis and a complex network approach," Energy, Elsevier, vol. 170(C), pages 1191-1201.
    42. Dong, Liang & Liang, Hanwei & Zhang, Liguo & Liu, Zhaowen & Gao, Zhiqiu & Hu, Mingming, 2017. "Highlighting regional eco-industrial development: Life cycle benefits of an urban industrial symbiosis and implications in China," Ecological Modelling, Elsevier, vol. 361(C), pages 164-176.
    43. Min Huang & Yimin Chen & Yuanying Zhang, 2018. "Assessing Carbon Footprint and Inter-Regional Carbon Transfer in China Based on a Multi-Regional Input-Output Model," Sustainability, MDPI, vol. 10(12), pages 1-13, December.
    44. Zhangqi Zhong & Xu Zhang & Weina Gao, 2020. "Spatiotemporal Evolution of Global Greenhouse Gas Emissions Transferring via Trade: Influencing Factors and Policy Implications," IJERPH, MDPI, vol. 17(14), pages 1-24, July.
    45. Zafrilla, Jorge-Enrique & Arce, Guadalupe & Cadarso, María-Ángeles & Córcoles, Carmen & Gómez, Nuria & López, Luis-Antonio & Monsalve, Fabio & Tobarra, María-Ángeles, 2019. "Triple bottom line analysis of the Spanish solar photovoltaic sector: A footprint assessment," Renewable and Sustainable Energy Reviews, Elsevier, vol. 114(C), pages 1-1.
    46. Yuli Bian & Liang Dong & Zhaowen Liu & Lezhu Zhang, 2020. "A Sectoral Eco-Efficiency Analysis on Urban-Industrial Symbiosis," Sustainability, MDPI, vol. 12(9), pages 1-19, May.
    47. Qunli Wu & Chenyang Peng, 2016. "Scenario Analysis of Carbon Emissions of China’s Electric Power Industry Up to 2030," Energies, MDPI, vol. 9(12), pages 1-18, November.
    48. Zhangqi, Zhong & Zhuli, Chen & Lingyun, He, 2022. "Technological innovation, industrial structural change and carbon emission transferring via trade-------An agent-based modeling approach," Technovation, Elsevier, vol. 110(C).
    49. Zhang, Ze & Guo, Yuchen & Feng, Li, 2022. "Externalities of dockless bicycle-sharing systems: Implications for green recovery of the transportation sector," Economic Analysis and Policy, Elsevier, vol. 76(C), pages 410-419.
    50. Thomas Wiedmann & Guangwu Chen & Anne Owen & Manfred Lenzen & Michael Doust & John Barrett & Kristian Steele, 2021. "Three‐scope carbon emission inventories of global cities," Journal of Industrial Ecology, Yale University, vol. 25(3), pages 735-750, June.
    51. Zhifu Mi & Hua Liao & D’Maris Coffman & Yi-Ming Wei, 2019. "Assessment of equity principles for international climate policy based on an integrated assessment model," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 95(1), pages 309-323, January.
    52. Meng, Fanxin & Liu, Gengyuan & Hu, Yuanchao & Su, Meirong & Yang, Zhifeng, 2018. "Urban carbon flow and structure analysis in a multi-scales economy," Energy Policy, Elsevier, vol. 121(C), pages 553-564.
    53. Zhang, Kun & Xue, Mei-Mei & Feng, Kuishuang & Liang, Qiao-Mei, 2019. "The economic effects of carbon tax on China’s provinces," Journal of Policy Modeling, Elsevier, vol. 41(4), pages 784-802.
    54. Xu, Zhongwen & Huang, Liqiao & Liao, Maolin & Xue, Jinjun & Yoshida, Yoshikuni & Long, Yin, 2022. "Quantifying consumption-based carbon emissions of major economic sectors in Japan considering the global value chain," Structural Change and Economic Dynamics, Elsevier, vol. 63(C), pages 330-341.
    55. Jiajia Huan & Ling Han, 2022. "Potential Contribution to Carbon Neutrality Strategy from Industrial Symbiosis: Evidence from a Local Coal-Aluminum-Electricity-Steel Industrial System," Sustainability, MDPI, vol. 14(5), pages 1-14, February.
    56. Zhai, Yijie & Ma, Xiaotian & Gao, Feng & Zhang, Tianzuo & Hong, Jinglan & Zhang, Xu & Yuan, Xueliang & Li, Xiangzhi, 2020. "Is energy the key to pursuing clean air and water at the city level? A case study of Jinan City, China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 134(C).
    57. Neng Shen & Yuqing Zhao & Qunwei Wang, 2018. "Diversified Agglomeration, Specialized Agglomeration, and Emission Reduction Effect—A Nonlinear Test Based on Chinese City Data," Sustainability, MDPI, vol. 10(6), pages 1-22, June.
    58. Zheng Meng & Jinling Guo & Kejia Yan & Zhuan Yang & Bozi Li & Bo Zhang & Bin Chen, 2022. "China’s Trade of Agricultural Products Drives Substantial Greenhouse Gas Emissions," IJERPH, MDPI, vol. 19(23), pages 1-16, November.
    59. Li, Ye & Yang, Tianjian & Zhang, Yu, 2022. "Evolutionary game theory-based system dynamics modeling for community solid waste classification in China," Utilities Policy, Elsevier, vol. 79(C).
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    61. Liu, Xiaoyu & Duan, Zhiyuan & Shan, Yuli & Duan, Haiyan & Wang, Shuo & Song, Junnian & Wang, Xian'en, 2019. "Low-carbon developments in Northeast China: Evidence from cities," Applied Energy, Elsevier, vol. 236(C), pages 1019-1033.
    62. Cai, Bofeng & Guo, Huanxiu & Ma, Zipeng & Wang, Zhixuan & Dhakal, Shobhakar & Cao, Libin, 2019. "Benchmarking carbon emissions efficiency in Chinese cities: A comparative study based on high-resolution gridded data," Applied Energy, Elsevier, vol. 242(C), pages 994-1009.
    63. Maud Lanau & Luca Herbert & Gang Liu, 2021. "Extending urban stocks and flows analysis to urban greenhouse gas emission accounting: A case of Odense, Denmark," Journal of Industrial Ecology, Yale University, vol. 25(4), pages 961-978, August.
    64. Liu, Yajuan & Wang, Yutao & Mi, Zhifu & Ma, Zhongyu, 2018. "Carbon implications of China’s changing economic structure at the city level," Structural Change and Economic Dynamics, Elsevier, vol. 46(C), pages 163-171.
    65. Lin, Boqiang & Wang, Miao, 2021. "What drives energy intensity fall in China? Evidence from a meta-frontier approach," Applied Energy, Elsevier, vol. 281(C).
    66. Fang, Kai & Zhang, Qifeng & Long, Yin & Yoshida, Yoshikuni & Sun, Lu & Zhang, Haoran & Dou, Yi & Li, Shuai, 2019. "How can China achieve its Intended Nationally Determined Contributions by 2030? A multi-criteria allocation of China’s carbon emission allowance," Applied Energy, Elsevier, vol. 241(C), pages 380-389.
    67. Rong Guan & Haitao Zheng & Jie Hu & Qi Fang & Ruoen Ren, 2017. "The Higher Carbon Intensity of Loans, the Higher Non-Performing Loan Ratio: The Case of China," Sustainability, MDPI, vol. 9(4), pages 1-17, April.
    68. Haoran Wang & Toshiyuki Fujita, 2023. "A Review of Research on Embodied Carbon in International Trade," Sustainability, MDPI, vol. 15(10), pages 1-15, May.
    69. Shen, Jun & Tang, Pengcheng & Zeng, Hao & Cheng, Jinhua & Liu, Xiuli, 2023. "Does emission trading system reduce mining cities’ pollution emissions? A quasi-natural experiment based on Chinese prefecture-level cities," Resources Policy, Elsevier, vol. 81(C).
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    73. Shiqing Zhang & Jianwei Wang & Wenlong Zheng, 2018. "Decomposition Analysis of Energy-Related CO 2 Emissions and Decoupling Status in China’s Logistics Industry," Sustainability, MDPI, vol. 10(5), pages 1-21, April.
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    76. Liu, Xiaoping & Ou, Jinpei & Chen, Yimin & Wang, Shaojian & Li, Xia & Jiao, Limin & Liu, Yaolin, 2019. "Scenario simulation of urban energy-related CO2 emissions by coupling the socioeconomic factors and spatial structures," Applied Energy, Elsevier, vol. 238(C), pages 1163-1178.
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    78. Haidi Gao & Alun Gu & Gehua Wang & Fei Teng, 2019. "A Structural Decomposition Analysis of China’s Consumption-Based Greenhouse Gas Emissions," Energies, MDPI, vol. 12(15), pages 1-17, July.
    79. Huang, Jing & Han, Wenjing & Zhang, Zhengfeng & Ning, Shanshan & Zhang, Xiaoling, 2024. "The decoupling relationship between land use efficiency and carbon emissions in China: An analysis using the Socio-Ecological Systems (SES) framework," Land Use Policy, Elsevier, vol. 138(C).
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    81. Du, Mingxi & Wang, Xiaoge & Peng, Changhui & Shan, Yuli & Chen, Huai & Wang, Meng & Zhu, Qiuan, 2018. "Quantification and scenario analysis of CO2 emissions from the central heating supply system in China from 2006 to 2025," Applied Energy, Elsevier, vol. 225(C), pages 869-875.
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    84. Wen, Hong-xing & Chen, Zhe & Yang, Qian & Liu, Jin-yi & Nie, Pu-yan, 2022. "Driving forces and mitigating strategies of CO2 emissions in China: A decomposition analysis based on 38 industrial sub-sectors," Energy, Elsevier, vol. 245(C).
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    86. Wang, Miao & Feng, Chao, 2018. "Investigating the drivers of energy-related CO2 emissions in China’s industrial sector: From regional and provincial perspectives," Structural Change and Economic Dynamics, Elsevier, vol. 46(C), pages 136-147.
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    92. Songyi Wang & Fengming Tao & Yuhe Shi, 2018. "Optimization of Inventory Routing Problem in Refined Oil Logistics with the Perspective of Carbon Tax," Energies, MDPI, vol. 11(6), pages 1-17, June.
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    99. Li, Ke & Lin, Boqiang, 2017. "Economic growth model, structural transformation, and green productivity in China," Applied Energy, Elsevier, vol. 187(C), pages 489-500.
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    101. Ling Li & Ling Tang & Junrong Zhang, 2019. "Coupling Structural Decomposition Analysis and Sensitivity Analysis to Investigate CO 2 Emission Intensity in China," Energies, MDPI, vol. 12(12), pages 1-23, June.
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    50. Xu, Shuanglei & Deng, Youyi & Nepal, Rabindra & Jamasb, Tooraj, 2024. "Geopolitical Conflict and Risk and the EU Energy Trading: A Dynamic Evolutionary Networks Analysis," Working Papers 14-2024, Copenhagen Business School, Department of Economics.
    51. Alessandro D'Orazio & Fabrizio Ferriani & Andrea Gazzani, 2024. "Geoeconomic fragmentation and firms' financial performance," Questioni di Economia e Finanza (Occasional Papers) 844, Bank of Italy, Economic Research and International Relations Area.
    52. Su, Chi-Wei & Khan, Khalid & Tao, Ran & Nicoleta-Claudia, Moldovan, 2019. "Does geopolitical risk strengthen or depress oil prices and financial liquidity? Evidence from Saudi Arabia," Energy, Elsevier, vol. 187(C).
    53. Zhou, Ying-Zhe & Huang, Jian-Bai & Chen, Jin-Yu, 2019. "Time-varying effect of the financialization of nonferrous metals markets on China's industrial sector," Resources Policy, Elsevier, vol. 64(C).
    54. Huang, Wanling & Mollick, Andre Varella, 2020. "Tight oil, real WTI prices and U.S. stock returns," Energy Economics, Elsevier, vol. 85(C).
    55. Le, Thai-Ha & Le, Anh Tu & Le, Ha-Chi, 2021. "The historic oil price fluctuation during the Covid-19 pandemic: What are the causes?," Research in International Business and Finance, Elsevier, vol. 58(C).
    56. Klein, Tony, 2018. "Trends and contagion in WTI and Brent crude oil spot and futures markets - The role of OPEC in the last decade," Energy Economics, Elsevier, vol. 75(C), pages 636-646.
    57. Su, Chi-Wei & Wang, Dan & Mirza, Nawazish & Zhong, Yifan & Umar, Muhammad, 2023. "The impact of consumer confidence on oil prices," Energy Economics, Elsevier, vol. 124(C).
    58. Weigang Zhao & Yunfei Cao & Bo Miao & Ke Wang & Yi-Ming Wei, 2018. "Impacts of shifting China¡¯s final energy consumption to electricity on CO2 emission reduction," CEEP-BIT Working Papers 115, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
    59. Lin, Boqiang & Su, Tong, 2021. "Do China's macro-financial factors determine the Shanghai crude oil futures market?," International Review of Financial Analysis, Elsevier, vol. 78(C).
    60. Yao, Ting & Zhang, Yue-Jun & Ma, Chao-Qun, 2017. "How does investor attention affect international crude oil prices?," Applied Energy, Elsevier, vol. 205(C), pages 336-344.
    61. Su, Chi-Wei & Khan, Khalid & Tao, Ran & Umar, Muhammad, 2020. "A review of resource curse burden on inflation in Venezuela," Energy, Elsevier, vol. 204(C).
    62. Zeng, Shihong & Nan, Xin & Liu, Chao & Chen, Jiuying, 2017. "The response of the Beijing carbon emissions allowance price (BJC) to macroeconomic and energy price indices," Energy Policy, Elsevier, vol. 106(C), pages 111-121.
    63. Manickavasagam, Jeevananthan & Visalakshmi, S. & Apergis, Nicholas, 2020. "A novel hybrid approach to forecast crude oil futures using intraday data," Technological Forecasting and Social Change, Elsevier, vol. 158(C).
    64. Jiang, Yong & Ren, Yi-Shuai & Ma, Chao-Qun & Liu, Jiang-Long & Sharp, Basil, 2020. "Does the price of strategic commodities respond to U.S. partisan conflict?," Resources Policy, Elsevier, vol. 66(C).
    65. Merrill, Ryan K. & Orlando, Anthony W., 2020. "Oil at risk: Political violence and accelerated carbon extraction in the Middle East and North Africa," Energy Economics, Elsevier, vol. 92(C).
    66. Cheng, Fangzheng & Li, Tian & Wei, Yi-ming & Fan, Tijun, 2019. "The VEC-NAR model for short-term forecasting of oil prices," Energy Economics, Elsevier, vol. 78(C), pages 656-667.
    67. Kisswani, Khalid M., 2021. "(A)symmetric time-varying effects of uncertainty fluctuations on oil price volatility: A nonlinear ARDL investigation," Resources Policy, Elsevier, vol. 73(C).
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  36. Hua Liao & Xin Tang & Yi-Ming Wei, 2016. "Solid fuel use in rural China and its health effects," CEEP-BIT Working Papers 90, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.

    Cited by:

    1. Shi, Xunpeng & Yu, Jian & Cheong, Tsun Se, 2020. "Convergence and distribution dynamics of energy consumption among China's households," Energy Policy, Elsevier, vol. 142(C).
    2. Jingwen Wu & Bingdong Hou & Ruo-Yu Ke & Yun-Fei Du & Ce Wang & Xiangzheng Li & Jiawei Cai & Tianqi Chen & Meixuan Teng & Jin Liu & Jin-Wei Wang & Hua Liao, 2017. "Residential Fuel Choice in Rural Areas: Field Research of Two Counties of North China," Sustainability, MDPI, vol. 9(4), pages 1-16, April.
    3. Liao, Hua & Cao, Huai-Shu, 2018. "The pattern of electricity use in residential sector: The experiences from 133 economies," Energy, Elsevier, vol. 145(C), pages 515-525.
    4. Wang, Dongji & Liu, Liansheng & Liu, Chunyu & Xie, Jun & Yuan, Ye & Yang, Hua & Duan, Runze, 2021. "A novel supply chain of straw briquette fuel and the optimal way to acquire fixed assets," Energy Policy, Elsevier, vol. 153(C).
    5. Ang'u, Cohen & Muthama, Nzioka John & Mutuku, Mwanthi Alexander & M’IKiugu, Mutembei Henry, 2023. "Analysis of energy poverty in Kenya and its implications for human health," Energy Policy, Elsevier, vol. 176(C).
    6. Qiang Wang & Thomas Dogot & Yueling Yang & Jian Jiao & Boyang Shi & Changbin Yin, 2020. "From “Coal to Gas” to “Coal to Biomass”: The Strategic Choice of Social Capital in China," Energies, MDPI, vol. 13(16), pages 1-22, August.
    7. Wei-Hua Qu & Ling Xu & Guo-Hua Qu & Zhi-Jun Yan & Jian-Xiu Wang, 2017. "The impact of energy consumption on environment and public health in China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 87(2), pages 675-697, June.
    8. Anil Shrestha & Makoto Kakinaka, 2022. "Remittance Inflows and Energy Transition of the Residential Sector in Developing Countries," Sustainability, MDPI, vol. 14(17), pages 1-19, August.
    9. Pan, Tianxin & Palmer, Michael, 2018. "Risk factors and non-communicable disease diagnosis in China," China Economic Review, Elsevier, vol. 50(C), pages 72-84.
    10. Shenxin Li & Sedra Shafi & Bin Zou & Jing Liu & Ying Xiong & Bilal Muhammad, 2022. "PM 2.5 Concentration Exposure over the Belt and Road Region from 2000 to 2020," IJERPH, MDPI, vol. 19(5), pages 1-16, March.
    11. Li, Jianglong & Chen, Chang & Liu, Hongxun, 2019. "Transition from non-commercial to commercial energy in rural China: Insights from the accessibility and affordability," Energy Policy, Elsevier, vol. 127(C), pages 392-403.
    12. Wang, Shaobin & Liu, Yonglin & Zhao, Chao & Pu, Haixia, 2019. "Residential energy consumption and its linkages with life expectancy in mainland China: A geographically weighted regression approach and energy-ladder-based perspective," Energy, Elsevier, vol. 177(C), pages 347-357.
    13. Zhang, Ziyu & Shu, Hongting & Yi, Hong & Wang, Xiaohua, 2021. "Household multidimensional energy poverty and its impacts on physical and mental health," Energy Policy, Elsevier, vol. 156(C).
    14. Wang, Dongji & Liu, Liansheng & Yuan, Ye & Yang, Hua & Zhou, Yixing & Duan, Ruanze, 2020. "Design and key heating power parameters of a newly-developed household biomass briquette heating boiler," Renewable Energy, Elsevier, vol. 147(P1), pages 1371-1379.
    15. Anna Brunerová & Hynek Roubík & Milan Brožek, 2018. "Bamboo Fiber and Sugarcane Skin as a Bio-Briquette Fuel," Energies, MDPI, vol. 11(9), pages 1-20, August.
    16. Tian, Zhihua & Tian, Yanfang & Shen, Liangping & Shao, Shuai, 2021. "The health effect of household cooking fuel choice in China: An urban-rural gap perspective," Technological Forecasting and Social Change, Elsevier, vol. 173(C).
    17. Shrestha, Anil & Mustafa, Andy Ali & Htike, Myo Myo & You, Vithyea & Kakinaka, Makoto, 2022. "Evolution of energy mix in emerging countries: Modern renewable energy, traditional renewable energy, and non-renewable energy," Renewable Energy, Elsevier, vol. 199(C), pages 419-432.
    18. Jingwen Wu & Bingdong Hou & Ruoyu Ke & Yun-Fei Du & Ce Wang & Xiangzheng Li & Jiawei Cai & Tianqi Chen & Meixuan Teng & Jin Liu & Jin-Wei Wang & Hua Liao, 2018. "Residential fuel choice in the rural: A field research on two counties of North China," CEEP-BIT Working Papers 109, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
    19. Liu, Ziming & Li, Jia & Rommel, Jens & Feng, Shuyi, 2020. "Health impacts of cooking fuel choice in rural China," Energy Economics, Elsevier, vol. 89(C).
    20. Wang, Wei & Xiao, Weiwei & Bai, Caiquan, 2022. "Can renewable energy technology innovation alleviate energy poverty? Perspective from the marketization level," Technology in Society, Elsevier, vol. 68(C).
    21. Wei-Hua Qu & Guo-Hua Qu & Xin-Dong Zhang & Zhi-Jun Yan, 2018. "Effects of private car ownership, economic growth and medical services on healthcare expenditure in China: a dynamic panel data analysis," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 93(1), pages 167-188, August.
    22. Chen, Yilin & Shen, Huizhong & Zhong, Qirui & Chen, Han & Huang, Tianbo & Liu, Junfeng & Cheng, Hefa & Zeng, Eddy Y. & Smith, Kirk R. & Tao, Shu, 2016. "Transition of household cookfuels in China from 2010 to 2012," Applied Energy, Elsevier, vol. 184(C), pages 800-809.
    23. Shu Wu, 2021. "The Health Impact of Household Cooking Fuel Choice on Women: Evidence from China," Sustainability, MDPI, vol. 13(21), pages 1-18, November.
    24. Liu, Ziming & Yu, Lu, 2020. "Stay or Leave? The Role of Air Pollution in Urban Migration Choices," Ecological Economics, Elsevier, vol. 177(C).
    25. Min He & Pei Liu & Linwei Ma & Chinhao Chong & Xu Li & Shizhong Song & Zheng Li & Weidou Ni, 2018. "A Systems Analysis of the Development Status and Trends of Rural Household Energy in China," Energies, MDPI, vol. 11(7), pages 1-23, July.
    26. Li, Hui & Zhang, Ruining & Ai, Xianneng, 2022. "Cost estimation of “coal-to-gas” project: Government and residents’ perspectives," Energy Policy, Elsevier, vol. 167(C).
    27. Zhang, Lingyue & Li, Hui & Chen, Tianqi & Liao, Hua, 2022. "Health effects of cooking fuel transition: A dynamic perspective," Energy, Elsevier, vol. 251(C).
    28. Wu, Shu, 2022. "Household fuel switching and the elderly's health: Evidence from rural China," Energy, Elsevier, vol. 240(C).
    29. Liu, Yuan & Chen, Jiahui & Zhao, Lutao & Liao, Hua, 2023. "Rural photovoltaic projects substantially prompt household energy transition: Evidence from China," Energy, Elsevier, vol. 275(C).
    30. Ai, Xian-Neng & Du, Yun-Fei & Li, Wei-Ming & Li, Hui & Liao, Hua, 2021. "The pattern of household energy transition," Energy, Elsevier, vol. 234(C).
    31. Hou, Bingdong & Wu, Jingwen & Mi, Zhifu & Ma, Chunbo & Shi, Xunpeng & Liao, Hua, 2022. "Cooking fuel types and the health effects: A field study in China," Energy Policy, Elsevier, vol. 167(C).

  37. Ke Wang & Yi-Ming Wei, 2015. "Sources of energy productivity change in China during 1997-2012: A decomposition analysis based on the Luenberger productivity indicator," CEEP-BIT Working Papers 86, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.

    Cited by:

    1. Wang, Ke & Yang, Kexin & Wei, Yi-Ming & Zhang, Chi, 2018. "Shadow prices of direct and overall carbon emissions in China’s construction industry: A parametric directional distance function-based sensitive estimation," Structural Change and Economic Dynamics, Elsevier, vol. 47(C), pages 180-193.
    2. Huikun Hong & Deti Xie & Heping Liao & Bo Tu & Jun Yang, 2017. "Land Use Efficiency and Total Factor Productivity—Distribution Dynamic Evolution of Rural Living Space in Chongqing, China," Sustainability, MDPI, vol. 9(4), pages 1-16, March.
    3. Ke Wang & Chia-Yen Lee & Jieming Zhang & Yi-Ming Wei, 2016. "Operational performance management of the power industry: A distinguishing analysis between effectiveness and efficiency," CEEP-BIT Working Papers 93, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
    4. Sueyoshi, Toshiyuki & Yuan, Yan & Goto, Mika, 2017. "A literature study for DEA applied to energy and environment," Energy Economics, Elsevier, vol. 62(C), pages 104-124.
    5. Lin, Boqiang & Raza, Muhammad Yousaf, 2020. "Coal and economic development in Pakistan: A necessity of energy source," Energy, Elsevier, vol. 207(C).
    6. Chen, Xiang & Chen, Yong & Huang, Wenli & Zhang, Xuping, 2023. "A new Malmquist-type green total factor productivity measure: An application to China," Energy Economics, Elsevier, vol. 117(C).
    7. Juan Aparicio & Jose Manuel Cordero & Carlos Díaz-Caro, 2020. "Efficiency and productivity change of regional tax offices in Spain: an empirical study using Malmquist–Luenberger and Luenberger indices," Empirical Economics, Springer, vol. 59(3), pages 1403-1434, September.
    8. Tengfei Huo & Hong Ren & Weiguang Cai & Wei Feng & Miaohan Tang & Nan Zhou, 2018. "The total-factor energy productivity growth of China’s construction industry: evidence from the regional level," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 92(3), pages 1593-1616, July.
    9. Chen, Yingwen & Wong, Christina W.Y. & Yang, Rui & Miao, Xin, 2021. "Optimal structure adjustment strategy, emission reduction potential and utilization efficiency of fossil energies in China," Energy, Elsevier, vol. 237(C).
    10. Ke Wang & Yujiao Xian & Chia-Yen Lee & Yi-Ming Wei & Zhimin Huang, 2019. "On selecting directions for directional distance functions in a non-parametric framework: a review," Annals of Operations Research, Springer, vol. 278(1), pages 43-76, July.
    11. Halkos, George & Bampatsou, Christina, 2016. "Driving forces of different productivity models," MPRA Paper 75398, University Library of Munich, Germany.
    12. Wang, Miao & Feng, Chao, 2017. "Analysis of energy-related CO2 emissions in China’s mining industry: Evidence and policy implications," Resources Policy, Elsevier, vol. 53(C), pages 77-87.
    13. Wang, Miao & Feng, Chao, 2017. "Decomposition of energy-related CO2 emissions in China: An empirical analysis based on provincial panel data of three sectors," Applied Energy, Elsevier, vol. 190(C), pages 772-787.
    14. Wei, Yigang & Li, Yan & Wu, Meiyu & Li, Yingbo, 2019. "The decomposition of total-factor CO2 emission efficiency of 97 contracting countries in Paris Agreement," Energy Economics, Elsevier, vol. 78(C), pages 365-378.
    15. Zhang, Shengling & Wang, Yao & Hao, Yu & Liu, Zhiwei, 2021. "Shooting two hawks with one arrow: Could China's emission trading scheme promote green development efficiency and regional carbon equality?," Energy Economics, Elsevier, vol. 101(C).
    16. Wang, Ke & Wei, Yi-Ming & Huang, Zhimin, 2018. "Environmental efficiency and abatement efficiency measurements of China's thermal power industry: A data envelopment analysis based materials balance approach," European Journal of Operational Research, Elsevier, vol. 269(1), pages 35-50.
    17. Sueyoshi, Toshiyuki & Goto, Mika & Wang, Derek, 2017. "Malmquist index measurement for sustainability enhancement in Chinese municipalities and provinces," Energy Economics, Elsevier, vol. 67(C), pages 554-571.
    18. Sueyoshi, Toshiyuki & Yuan, Yan, 2017. "Social sustainability measured by intermediate approach for DEA environmental assessment: Chinese regional planning for economic development and pollution prevention," Energy Economics, Elsevier, vol. 66(C), pages 154-166.
    19. Feng, Chao & Zhang, Hua & Huang, Jian-Bai, 2017. "The approach to realizing the potential of emissions reduction in China: An implication from data envelopment analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 71(C), pages 859-872.
    20. Ke Wang & Yi-Ming Wei & Zhimin Huang, 2017. "Environmental efficiency and abatement efficiency measurements of China¡¯s thermal power industry: A data envelopment analysis based materials balance approach," CEEP-BIT Working Papers 108, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
    21. Qingyou Yan & Xu Wang & Tomas Baležentis & Dalia Streimikiene, 2018. "Energy–economy–environmental (3E) performance of Chinese regions based on the data envelopment analysis model with mixed assumptions on disposability," Energy & Environment, , vol. 29(5), pages 664-684, August.
    22. Nadimi, Reza & Tokimatsu, Koji, 2019. "Potential energy saving via overall efficiency relying on quality of life," Applied Energy, Elsevier, vol. 233, pages 283-299.
    23. Zhao, Zhibo & Shi, Xunpeng & Zhao, Lingdi & Zhang, Jinggu, 2020. "Extending production-theoretical decomposition analysis to environmentally sensitive growth: Case study of Belt and Road Initiative countries," Technological Forecasting and Social Change, Elsevier, vol. 161(C).
    24. Zhang, Qi & Gu, Baihe & Zhang, Haiying & Ji, Qiang, 2023. "Emission reduction mode of China's provincial transportation sector: Based on “Energy+” carbon efficiency evaluation," Energy Policy, Elsevier, vol. 177(C).
    25. Chen, Ya & Pan, Yongbin & Wang, Mengyuan & Ding, Tao & Zhou, Zhixiang & Wang, Ke, 2023. "How do industrial sectors contribute to carbon peaking and carbon neutrality goals? A heterogeneous energy efficiency analysis for Beijing," Structural Change and Economic Dynamics, Elsevier, vol. 66(C), pages 67-80.
    26. Huan Zhang & Kangning Xu, 2016. "Impact of Environmental Regulation and Technical Progress on Industrial Carbon Productivity: An Approach Based on Proxy Measure," Sustainability, MDPI, vol. 8(8), pages 1-15, August.
    27. Zuoren Sun & Chao An & Huachen Sun, 2018. "Regional Differences in Energy and Environmental Performance: An Empirical Study of 283 Cities in China," Sustainability, MDPI, vol. 10(7), pages 1-28, July.
    28. Bampatsou, Christina & Halkos, George & Beneki, Christina, 2021. "Energy and material flow management to improve EU productivity," Economic Analysis and Policy, Elsevier, vol. 70(C), pages 83-93.
    29. Feng, Chao & Wang, Miao & Liu, Guan-Chun & Huang, Jian-Bai, 2017. "Sources of economic growth in China from 2000–2013 and its further sustainable growth path: A three-hierarchy meta-frontier data envelopment analysis," Economic Modelling, Elsevier, vol. 64(C), pages 334-348.
    30. Miao, Zhuang & Baležentis, Tomas & Shao, Shuai & Chang, Dongfeng, 2019. "Energy use, industrial soot and vehicle exhaust pollution—China's regional air pollution recognition, performance decomposition and governance," Energy Economics, Elsevier, vol. 83(C), pages 501-514.
    31. Justas Streimikis & Zhuang Miao & Tomas Balezentis, 2021. "Creation of climate‐smart and energy‐efficient agriculture in the European Union: Pathways based on the frontier analysis," Business Strategy and the Environment, Wiley Blackwell, vol. 30(1), pages 576-589, January.
    32. Wang, Qunwei & Zhang, Cheng & Cai, Wanhuan, 2017. "Factor substitution and energy productivity fluctuation in China: A parametric decomposition analysis," Energy Policy, Elsevier, vol. 109(C), pages 181-190.
    33. Sicen Liu & Xiaodong Chen & Zhiyang Shen & Tomas Baležentis, 2022. "Industrial energy consumption and pollutant emissions: Combined decomposition of relative performance and absolute changes," Business Strategy and the Environment, Wiley Blackwell, vol. 31(7), pages 3454-3469, November.
    34. Wang, Miao & Feng, Chao, 2018. "Decomposing the change in energy consumption in China's nonferrous metal industry: An empirical analysis based on the LMDI method," Renewable and Sustainable Energy Reviews, Elsevier, vol. 82(P3), pages 2652-2663.
    35. Suyang Xiao & Susu Wang & Fanhua Zeng & Wei-Chiao Huang, 2022. "Spatial Differences and Influencing Factors of Industrial Green Total Factor Productivity in Chinese Industries," Sustainability, MDPI, vol. 14(15), pages 1-24, July.
    36. Ke Wang & Jieming Zhang & Yi-Ming Wei, 2017. "Operational and environmental performance in China¡¯s thermal power industry: Taking an effectiveness measure as complement to an efficiency measure," CEEP-BIT Working Papers 100, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
    37. Ge Gao & Ke Wang & Chi Zhang & Yi-Ming Wei, 2019. "Synergistic effects of environmental regulations on carbon productivity growth in China’s major industrial sectors," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 95(1), pages 55-72, January.
    38. Chen, Bin & Jin, Yingmei, 2020. "Adjusting productivity measures for CO2 emissions control: Evidence from the provincial thermal power sector in China," Energy Economics, Elsevier, vol. 87(C).
    39. Jin Wei & Fangsi Yu & Haixiu Liang & Maohui Luo, 2020. "Thermal Performance of Vertical Courtyard System in Office Buildings Under Typical Hot Days in Hot-Humid Climate Area: A Case Study," Sustainability, MDPI, vol. 12(7), pages 1-14, March.
    40. Yang, Shenglang & Shi, Xunpeng, 2018. "Intangible capital and sectoral energy intensity: Evidence from 40 economies between 1995 and 2007," Energy Policy, Elsevier, vol. 122(C), pages 118-128.
    41. Yu, Yantuan & Chen, Xudong & Zhang, Ning, 2022. "Innovation and energy productivity: An empirical study of the innovative city pilot policy in China✰," Technological Forecasting and Social Change, Elsevier, vol. 176(C).
    42. Lizhan Cao & Zhongying Qi & Junxia Ren, 2017. "China’s Industrial Total-Factor Energy Productivity Growth at Sub-Industry Level: A Two-Step Stochastic Metafrontier Malmquist Index Approach," Sustainability, MDPI, vol. 9(8), pages 1-22, August.
    43. Ke Wang & Yujiao Xian & Yi-Ming Wei & Zhimin Huang, 2016. "Sources of carbon productivity change: A decomposition and disaggregation analysis based on global Luenberger productivity indicator and endogenous directional distance function," CEEP-BIT Working Papers 91, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
    44. Zhou, Haibo & Yang, Yi & Chen, Yao & Zhu, Joe, 2018. "Data envelopment analysis application in sustainability: The origins, development and future directions," European Journal of Operational Research, Elsevier, vol. 264(1), pages 1-16.
    45. Ding, Li-Li & Lei, Liang & Zhao, Xin & Calin, Adrian Cantemir, 2020. "Modelling energy and carbon emission performance: A constrained performance index measure," Energy, Elsevier, vol. 197(C).
    46. Shuangjie Li & Hongyu Diao & Liming Wang & Chunqi Li, 2021. "Energy Efficiency Measurement: A VO TFEE Approach and Its Application," Sustainability, MDPI, vol. 13(4), pages 1-18, February.
    47. Ke Wang & Linan Che & Chunbo Ma & Yi-Ming Wei, 2017. "The Shadow Price of CO2 Emissions in China's Iron and Steel Industry," CEEP-BIT Working Papers 105, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
    48. George E. Halkos & Christina Bampatsou, 2019. "Economic growth and environmental degradation: a conditional nonparametric frontier analysis," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 21(2), pages 325-347, April.
    49. Halkos, George & Bampatsou, Christina, 2016. "Investigating the effect of efficiency and technical changes on productivity," MPRA Paper 76287, University Library of Munich, Germany.
    50. Yuan, Qianqian & Fang Chin Cheng, Charles & Wang, Jiayu & Zhu, Tian-Tian & Wang, Ke, 2020. "Inclusive and sustainable industrial development in China: An efficiency-based analysis for current status and improving potentials," Applied Energy, Elsevier, vol. 268(C).
    51. Huang, Junbing & Du, Dan & Hao, Yu, 2017. "The driving forces of the change in China's energy intensity: An empirical research using DEA-Malmquist and spatial panel estimations," Economic Modelling, Elsevier, vol. 65(C), pages 41-50.
    52. Wu, Ge & Baležentis, Tomas & Sun, Chuanwang & Xu, Shuhua, 2019. "Source control or end-of-pipe control: Mitigating air pollution at the regional level from the perspective of the Total Factor Productivity change decomposition," Energy Policy, Elsevier, vol. 129(C), pages 1227-1239.

  38. Ke Wang & Yi-Ming Wei & Zhimin Huang, 2015. "Potential gains from carbon emissions trading in China: A DEA based estimation on abatement cost savings," CEEP-BIT Working Papers 84, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.

    Cited by:

    1. Kumar, Surender & Managi, Shunsuke & Jain, Rakesh Kumar, 2020. "CO2 mitigation policy for Indian thermal power sector: Potential gains from emission trading," Energy Economics, Elsevier, vol. 86(C).
    2. Wang, Ke & Yang, Kexin & Wei, Yi-Ming & Zhang, Chi, 2018. "Shadow prices of direct and overall carbon emissions in China’s construction industry: A parametric directional distance function-based sensitive estimation," Structural Change and Economic Dynamics, Elsevier, vol. 47(C), pages 180-193.
    3. Zhang, Chonghui & Bai, Chen & Su, Weihua & Balezentis, Tomas, 2024. "The centralised data envelopment analysis model integrated with cost information and utility theory for power price setting under carbon peak strategy at the firm-level," Energy, Elsevier, vol. 292(C).
    4. Wei Yu & Ruizhu Han, 2017. "Coordinating a Two-Echelon Supply Chain under Carbon Tax," Sustainability, MDPI, vol. 9(12), pages 1-13, December.
    5. He, Weijun & Yang, Yi & Wang, Zhaohua & Zhu, Joe, 2018. "Estimation and allocation of cost savings from collaborative CO2 abatement in China," Energy Economics, Elsevier, vol. 72(C), pages 62-74.
    6. Zhao, Xin-gang & Jiang, Gui-wu & Nie, Dan & Chen, Hao, 2016. "How to improve the market efficiency of carbon trading: A perspective of China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 59(C), pages 1229-1245.
    7. Zhang, Weijie & Zhang, Ning & Yu, Yanni, 2019. "Carbon mitigation effects and potential cost savings from carbon emissions trading in China's regional industry," Technological Forecasting and Social Change, Elsevier, vol. 141(C), pages 1-11.
    8. Ji Guo & Dongdong Zhu & Xianhua Wu & Yaozhen Yan, 2017. "Study on Environment Performance Evaluation and Regional Differences of Strictly-Environmental-Monitored Cities in China," Sustainability, MDPI, vol. 9(12), pages 1-20, December.
    9. Zhang, Weijie & Yu, Yanni & Liu, Qingjun, 2024. "Is single or synergistic environmental permit trading system more effective? A study based on Chinese industry," Renewable and Sustainable Energy Reviews, Elsevier, vol. 191(C).
    10. Tomas Baležentis & Dalia Štreimikienė, 2019. "Sustainability in the Electricity Sector through Advanced Technologies: Energy Mix Transition and Smart Grid Technology in China," Energies, MDPI, vol. 12(6), pages 1-21, March.
    11. Ni, Xiaoran & Jin, Qi & Huang, Kunhao, 2022. "Environmental regulation and the cost of debt: Evidence from the carbon emission trading system pilot in China," Finance Research Letters, Elsevier, vol. 49(C).
    12. Jin, Gui & Shi, Xin & Zhang, Lei & Hu, Shougeng, 2020. "Measuring the SCCs of different Chinese regions under future scenarios," Renewable and Sustainable Energy Reviews, Elsevier, vol. 130(C).
    13. Zhang, Yue-Jun & Wang, Wei, 2021. "How does China's carbon emissions trading (CET) policy affect the investment of CET-covered enterprises?," Energy Economics, Elsevier, vol. 98(C).
    14. Yu, Anyu & Lee, Andy & Chen, Yao, 2021. "Carbon allocation targeting with abatement capability: A firm-level study," International Journal of Production Economics, Elsevier, vol. 235(C).
    15. Rui Cao & Yanling Xiao & Fengxue Yin, 2023. "Spatio-Temporal Evolution of High-Quality Development and the Impact of Carbon Emissions Trading Schemes," Sustainability, MDPI, vol. 15(4), pages 1-18, February.
    16. Ma, Chunbo & Hailu, Atakelty & You, Chaoying, 2019. "A critical review of distance function based economic research on China’s marginal abatement cost of carbon dioxide emissions," Energy Economics, Elsevier, vol. 84(C).
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    35. Yongrok Choi & Yunning Ma & Yu Zhao & Hyoungsuk Lee, 2023. "Inequality in Fossil Fuel Power Plants in China: A Perspective of Efficiency and Abatement Cost," Sustainability, MDPI, vol. 15(5), pages 1-15, March.
    36. Ning Zhang & Weijie Zhang, 2020. "Can sustainable operations achieve economic benefit and energy saving for manufacturing industries in China?," Annals of Operations Research, Springer, vol. 290(1), pages 145-168, July.
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    48. Ge Gao & Ke Wang & Chi Zhang & Yi-Ming Wei, 2019. "Synergistic effects of environmental regulations on carbon productivity growth in China’s major industrial sectors," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 95(1), pages 55-72, January.
    49. Tang, Ling & Wang, Haohan & Li, Ling & Yang, Kaitong & Mi, Zhifu, 2020. "Quantitative models in emission trading system research: A literature review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 132(C).
    50. Zhang, Wei & Li, Jing & Li, Guoxiang & Guo, Shucen, 2020. "Emission reduction effect and carbon market efficiency of carbon emissions trading policy in China," Energy, Elsevier, vol. 196(C).
    51. Yunfei An & Dequn Zhou & Qunwei Wang, 2022. "Carbon emission reduction potential and its influencing factors in China’s coal-fired power industry: a cost optimization and decomposition analysis," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(3), pages 3619-3639, March.
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    53. Zhang, Yanfang & Gao, Qi & Wei, Jinpeng & Shi, Xunpeng & Zhou, Dequn, 2023. "Can China's energy-consumption permit trading scheme achieve the “Porter” effect? Evidence from an estimated DSGE model," Energy Policy, Elsevier, vol. 180(C).
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    Cited by:

    1. Changfei Nie & Wen Luo & Yuan Feng & Zhi Chen, 2023. "The Impact of Economic Growth Target Constraints on Environmental Pollution: Evidence from China," IJERPH, MDPI, vol. 20(4), pages 1-23, February.
    2. Song, Yan & Sun, Junjie & Zhang, Ming & Su, Bin, 2020. "Using the Tapio-Z decoupling model to evaluate the decoupling status of China's CO2 emissions at provincial level and its dynamic trend," Structural Change and Economic Dynamics, Elsevier, vol. 52(C), pages 120-129.
    3. Garfield Wayne Hunter & Gideon Sagoe & Daniele Vettorato & Ding Jiayu, 2019. "Sustainability of Low Carbon City Initiatives in China: A Comprehensive Literature Review," Sustainability, MDPI, vol. 11(16), pages 1-37, August.
    4. Yang, Zhenbing & Shi, Qingquan & Lv, Xiangqiu & Shi, Qi, 2022. "Heterogeneous low-carbon targets and energy structure optimization: Does stricter carbon regulation really matter?," Structural Change and Economic Dynamics, Elsevier, vol. 60(C), pages 329-343.
    5. Ping Wang & Bangzhu Zhu, 2016. "Estimating the Contribution of Industry Structure Adjustment to the Carbon Intensity Target: A Case of Guangdong," Sustainability, MDPI, vol. 8(4), pages 1-11, April.
    6. Zhu, Bangzhu & Ye, Shunxin & Jiang, Minxing & Wang, Ping & Wu, Zhanchi & Xie, Rui & Chevallier, Julien & Wei, Yi-Ming, 2019. "Achieving the carbon intensity target of China: A least squares support vector machine with mixture kernel function approach," Applied Energy, Elsevier, vol. 233, pages 196-207.
    7. Jinying Li & Jianfeng Shi & Jinchao Li, 2016. "Exploring Reduction Potential of Carbon Intensity Based on Back Propagation Neural Network and Scenario Analysis: A Case of Beijing, China," Energies, MDPI, vol. 9(8), pages 1-17, August.
    8. Ren, Yi-Shuai & Liu, Pei-Zhi & Klein, Tony & Sheenan, Lisa, 2024. "Does the low-carbon pilot cities policy make a difference to the carbon intensity reduction?," Journal of Economic Behavior & Organization, Elsevier, vol. 217(C), pages 227-239.
    9. Yannan Zhou & Jixia Huang & Mingxiang Huang & Yicheng Lin, 2019. "The Driving Forces of Carbon Dioxide Equivalent Emissions Have Spatial Spillover Effects in Inner Mongolia," IJERPH, MDPI, vol. 16(10), pages 1-14, May.
    10. Zhen, Wei & Qin, Quande & Zhong, Zhangqi & Li, Li & Wei, Yi-Ming, 2018. "Uncovering household indirect energy-saving responsibility from a sectoral perspective: An empirical analysis of Guangdong, China," Energy Economics, Elsevier, vol. 72(C), pages 451-461.
    11. Xiaofei Han & Jianling Jiao & Lancui Liu & Lanlan Li, 2017. "China’s energy demand and carbon dioxide emissions: do carbon emission reduction paths matter?," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 86(3), pages 1333-1345, April.
    12. Wang, Juan & Hu, Mingming & Tukker, Arnold & Rodrigues, João F.D., 2019. "The impact of regional convergence in energy-intensive industries on China's CO2 emissions and emission goals," Energy Economics, Elsevier, vol. 80(C), pages 512-523.
    13. Li, Jianglong & Lin, Boqiang, 2017. "Does energy and CO2 emissions performance of China benefit from regional integration?," Energy Policy, Elsevier, vol. 101(C), pages 366-378.
    14. Qi Jiang & Zhigang Yin, 2023. "The Optimal Path for China to Achieve the “Dual Carbon” Target from the Perspective of Energy Structure Optimization," Sustainability, MDPI, vol. 15(13), pages 1-32, June.
    15. Fei Ye & Xinxiu Xie & Li Zhang & Xiaoling Hu, 2018. "An Improved Grey Model and Scenario Analysis for Carbon Intensity Forecasting in the Pearl River Delta Region of China," Energies, MDPI, vol. 11(1), pages 1-16, January.
    16. Xu, Lei & Chen, Nengcheng & Chen, Zeqiang, 2017. "Will China make a difference in its carbon intensity reduction targets by 2020 and 2030?," Applied Energy, Elsevier, vol. 203(C), pages 874-882.
    17. Wang, Qunwei & Hang, Ye & Su, Bin & Zhou, Peng, 2018. "Contributions to sector-level carbon intensity change: An integrated decomposition analysis," Energy Economics, Elsevier, vol. 70(C), pages 12-25.
    18. Zhang, Kun & Zhang, Zong-Yong & Liang, Qiao-Mei, 2017. "An empirical analysis of the green paradox in China: From the perspective of fiscal decentralization," Energy Policy, Elsevier, vol. 103(C), pages 203-211.
    19. Yu, Yongze & Li, Ke & Duan, Shenglan & Song, Chenchen, 2023. "Economic growth and environmental pollution in China: New evidence from government work reports," Energy Economics, Elsevier, vol. 124(C).
    20. Ge, Tao & Li, Chunying & Li, Jinye & Hao, Xionglei, 2023. "Does neighboring green development benefit or suffer from local economic growth targets? Evidence from China," Economic Modelling, Elsevier, vol. 120(C).
    21. Ying QU & Yue LIU, 2017. "Evaluating the low-carbon development of urban China," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 19(3), pages 939-953, June.
    22. Zhou, Xiaoyong & Zhou, Dequn & Wang, Qunwei & Su, Bin, 2020. "Who shapes China's carbon intensity and how? A demand-side decomposition analysis," Energy Economics, Elsevier, vol. 85(C).
    23. Shi, Daqian & Yang, Zhijiu & Ji, Hongkun, 2022. "Energy target-based responsibility system and corporate energy efficiency: Evidence from the eleventh Five Year Plan in China," Energy Policy, Elsevier, vol. 169(C).
    24. Yuan, Xiao-Chen & Sun, Xun & Zhao, Weigang & Mi, Zhifu & Wang, Bing & Wei, Yi-Ming, 2017. "Forecasting China’s regional energy demand by 2030: A Bayesian approach," Resources, Conservation & Recycling, Elsevier, vol. 127(C), pages 85-95.
    25. Sarfraz, Muddassar & Iqbal, Kashif & Wang, Yichu & Bhutta, Muhammad Shoaib & Jaffri, Zain ul Abidin, 2023. "Role of agricultural resource sector in environmental emissions and its explicit relationship with sustainable development: Evidence from agri-food system in China," Resources Policy, Elsevier, vol. 80(C).
    26. Ning, Yadong & Chen, Kunkun & Zhang, Boya & Ding, Tao & Guo, Fei & Zhang, Ming, 2020. "Energy conservation and emission reduction path selection in China: A simulation based on Bi-Level multi-objective optimization model," Energy Policy, Elsevier, vol. 137(C).
    27. Boqiang Lin & Chongchong Xu, 2024. "RETRACTED ARTICLE: Evaluating the effect of green fiscal policy on firm energy performance: evidence from China," Economic Change and Restructuring, Springer, vol. 57(2), pages 1-29, April.
    28. Shaolong Zeng & Qinyi Fu & Fazli Haleem & Yang Shen & Weibin Peng & Man Ji & Yilong Gong & Yilong Xu, 2024. "China’s carbon trading pilot policy, economic stability, and high-quality economic development," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-15, December.
    29. Fang Guo & Tao Zhao & Yanan Wang & Yue Wang, 2016. "Estimating the abatement potential of provincial carbon intensity based on the environmental learning curve model in China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 84(1), pages 685-705, October.
    30. Chunbo Wei & Yanyu Sha & Yongwei Hou & Jiaqi Li & Yongli Qu, 2024. "Spatial-Temporal Evolution and Influencing Factors of Animal Husbandry Carbon Emissions: A Case Study of Shandong Province, China," Sustainability, MDPI, vol. 16(9), pages 1-21, April.
    31. Lin, Boqiang & Wu, Nan, 2023. "Climate risk disclosure and stock price crash risk: The case of China," International Review of Economics & Finance, Elsevier, vol. 83(C), pages 21-34.
    32. Min Zhao & Yu Fang & Debao Dai, 2023. "Forecast of the Evolution Trend of Total Vehicle Sales and Power Structure of China under Different Scenarios," Sustainability, MDPI, vol. 15(5), pages 1-22, February.
    33. Wei Li & Tao Zhao & Yanan Wang & Fang Guo, 2017. "Investigating the learning effects of technological advancement on CO2 emissions: a regional analysis in China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 88(2), pages 1211-1227, September.
    34. Zhen, Wei & Qin, Quande & Qian, Xiaoying & Wei, Yi-Ming, 2018. "Inequality across China's Staple Crops in Energy Consumption and Related GHG Emissions," Ecological Economics, Elsevier, vol. 153(C), pages 17-30.

  40. Ke Wang & Bin Lu & Yi-Ming Wei, 2014. "China's regional energy and environmental efficiency: A Range-Adjusted Measure based analysis," CEEP-BIT Working Papers 61, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.

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    2. Quande Qin & Xin Li & Li Li & Wei Zhen & Yi-Ming Wei, 2017. "Air emissions perspective on energy efficiency: An empirical analysis of China's coastal areas," CEEP-BIT Working Papers 98, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
    3. Meng, Fanyi & Su, Bin & Thomson, Elspeth & Zhou, Dequn & Zhou, P., 2016. "Measuring China’s regional energy and carbon emission efficiency with DEA models: A survey," Applied Energy, Elsevier, vol. 183(C), pages 1-21.
    4. Mingxuan Lu & Ruhe Xie & Peirong Chen & Yifeng Zou & Jie Tang, 2019. "Green Transportation and Logistics Performance: An Improved Composite Index," Sustainability, MDPI, vol. 11(10), pages 1-17, May.
    5. Wanke, Peter & Barros, C.P., 2016. "Efficiency in Latin American airlines: A two-stage approach combining Virtual Frontier Dynamic DEA and Simplex Regression," Journal of Air Transport Management, Elsevier, vol. 54(C), pages 93-103.
    6. Sueyoshi, Toshiyuki & Goto, Mika, 2014. "DEA radial measurement for environmental assessment: A comparative study between Japanese chemical and pharmaceutical firms," Applied Energy, Elsevier, vol. 115(C), pages 502-513.
    7. Li, Zheng & Pan, Lingying & Fu, Feng & Liu, Pei & Ma, Linwei & Amorelli, Angelo, 2014. "China's regional disparities in energy consumption: An input–output analysis," Energy, Elsevier, vol. 78(C), pages 426-438.
    8. Xiangyu Teng & Liang Chun Lu & Yung-ho Chiu, 2018. "Considering Emission Treatment for Energy-Efficiency Improvement and Air Pollution Reduction in China’s Industrial Sector," Sustainability, MDPI, vol. 10(11), pages 1-18, November.
    9. Qiong Xia & Min Li & Huaqing Wu & Zhenggang Lu, 2016. "Does the Central Government’s Environmental Policy Work? Evidence from the Provincial-Level Environment Efficiency in China," Sustainability, MDPI, vol. 8(12), pages 1-17, December.
    10. Weibin Lin & Bin Chen & Lina Xie & Haoran Pan, 2015. "Estimating Energy Consumption of Transport Modes in China Using DEA," Sustainability, MDPI, vol. 7(4), pages 1-15, April.
    11. Yang, Jun & Zou, Ran & Cheng, Jixin & Geng, Zhifei & Li, Qi, 2023. "Environmental technical efficiency and its dynamic evolution in China's industry: A resource endowment perspective," Resources Policy, Elsevier, vol. 82(C).
    12. Sueyoshi, Toshiyuki & Goto, Mika, 2018. "Resource utilization for sustainability enhancement in Japanese industries," Applied Energy, Elsevier, vol. 228(C), pages 2308-2320.
    13. Du, Huibin & Matisoff, Daniel C. & Wang, Yangyang & Liu, Xi, 2016. "Understanding drivers of energy efficiency changes in China," Applied Energy, Elsevier, vol. 184(C), pages 1196-1206.
    14. Mardani, Abbas & Zavadskas, Edmundas Kazimieras & Streimikiene, Dalia & Jusoh, Ahmad & Khoshnoudi, Masoumeh, 2017. "A comprehensive review of data envelopment analysis (DEA) approach in energy efficiency," Renewable and Sustainable Energy Reviews, Elsevier, vol. 70(C), pages 1298-1322.
    15. Xiang Ji & Jiasen Sun & Qunwei Wang & Qianqian Yuan, 2019. "Revealing Energy Over-Consumption and Pollutant Over-Emission Behind GDP: A New Multi-criteria Sustainable Measure," Computational Economics, Springer;Society for Computational Economics, vol. 54(4), pages 1391-1421, December.
    16. Bhat, Javed Ahmad & Haider, Salman & Kamaiah, Bandi, 2018. "Interstate energy efficiency of Indian paper industry: A slack-based non-parametric approach," Energy, Elsevier, vol. 161(C), pages 284-298.
    17. Chu, Junfei & Shao, Caifeng & Emrouznejad, Ali & Wu, Jie & Yuan, Zhe, 2021. "Performance evaluation of organizations considering economic incentives for emission reduction: A carbon emission permit trading approach," Energy Economics, Elsevier, vol. 101(C).
    18. Xiang Liu & Jia Liu, 2016. "Measurement of Low Carbon Economy Efficiency with a Three-Stage Data Envelopment Analysis: A Comparison of the Largest Twenty CO 2 Emitting Countries," IJERPH, MDPI, vol. 13(11), pages 1-14, November.
    19. Wang, Ke & Wei, Yi-Ming, 2016. "Sources of energy productivity change in China during 1997–2012: A decomposition analysis based on the Luenberger productivity indicator," Energy Economics, Elsevier, vol. 54(C), pages 50-59.
    20. Jing Fu, 2018. "Two-stage data envelopment analysis with undesirable intermediate measures: an application to air quality improvement in China," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 26(4), pages 861-885, December.
    21. Ke Li & Malin Song, 2016. "Green Development Performance in China: A Metafrontier Non-Radial Approach," Sustainability, MDPI, vol. 8(3), pages 1-21, March.
    22. Jinchao Li & Yuwei Xiang & Huanyu Jia & Lin Chen, 2018. "Analysis of Total Factor Energy Efficiency and Its Influencing Factors on Key Energy-Intensive Industries in the Beijing-Tianjin-Hebei Region," Sustainability, MDPI, vol. 10(1), pages 1-17, January.
    23. Toshiyuki Sueyoshi & Zemin Du & Derek Wang, 2020. "Regional Sustainable Development with Environmental Performance: Measuring Growth Indexes on Chinese Provinces," Energies, MDPI, vol. 13(8), pages 1-21, April.
    24. Feng, Chao & Zhang, Hua & Huang, Jian-Bai, 2017. "The approach to realizing the potential of emissions reduction in China: An implication from data envelopment analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 71(C), pages 859-872.
    25. Ramón Sala-Garrido & Manuel Mocholí-Arce & María Molinos-Senante & Alexandros Maziotis, 2021. "Comparing Operational, Environmental and Eco-Efficiency of Water Companies in England and Wales," Energies, MDPI, vol. 14(12), pages 1-14, June.
    26. Sala-Garrido, Ramon & Mocholi-Arce, Manuel & Maziotis, Alexandros & Molinos-Senante, María, 2023. "The carbon and production performance of water utilities: Evidence from the English and Welsh water industry," Structural Change and Economic Dynamics, Elsevier, vol. 64(C), pages 292-300.
    27. Ling Wang & Zhongchang Chen & Dalai Ma & Pei Zhao, 2013. "Measuring Carbon Emissions Performance in 123 Countries: Application of Minimum Distance to the Strong Efficiency Frontier Analysis," Sustainability, MDPI, vol. 5(12), pages 1-14, December.
    28. Karali, Nihan & Xu, Tengfang & Sathaye, Jayant, 2014. "Reducing energy consumption and CO2 emissions by energy efficiency measures and international trading: A bottom-up modeling for the U.S. iron and steel sector," Applied Energy, Elsevier, vol. 120(C), pages 133-146.
    29. Walheer, Barnabé, 2018. "Labour productivity growth and energy in Europe: A production-frontier approach," Energy, Elsevier, vol. 152(C), pages 129-143.
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    48. Nelson Amowine & Zhiqiang Ma & Mingxing Li & Zhixiang Zhou & Benjamin Azembila Asunka & James Amowine, 2019. "Energy Efficiency Improvement Assessment in Africa: An Integrated Dynamic DEA Approach," Energies, MDPI, vol. 12(20), pages 1-17, October.
    49. Dongdong Ma & Guifang Li & Feng He, 2021. "Exploring PM2.5 Environmental Efficiency and Its Influencing Factors in China," IJERPH, MDPI, vol. 18(22), pages 1-15, November.
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    55. Zhang, Lina & Gao, Wanting & Chiu, Yung-ho & Pang, Qinghua & Shi, Zhen & Guo, Zhiqin, 2021. "Environmental performance indicators of China's coal mining industry: A bootstrapping Malmquist index analysis," Resources Policy, Elsevier, vol. 71(C).
    56. Lin, Boqiang & Du, Kerui, 2015. "Energy and CO2 emissions performance in China's regional economies: Do market-oriented reforms matter?," Energy Policy, Elsevier, vol. 78(C), pages 113-124.
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    58. Wu, Rongxin & Lin, Boqiang, 2021. "Does industrial agglomeration improve effective energy service: An empirical study of China’s iron and steel industry," Applied Energy, Elsevier, vol. 295(C).
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    60. Ke Wang & Yujiao Xian & Yi-Ming Wei & Zhimin Huang, 2016. "Sources of carbon productivity change: A decomposition and disaggregation analysis based on global Luenberger productivity indicator and endogenous directional distance function," CEEP-BIT Working Papers 91, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
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    64. Zhen Shi & Yingju Wu & Yung-ho Chiu & Fengping Wu & Changfeng Shi, 2020. "Dynamic Linkages among Mining Production and Land Rehabilitation Efficiency in China," Land, MDPI, vol. 9(3), pages 1-25, March.
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    67. Junfei Chu & Jie Wu & Qingyuan Zhu & Qingxian An & Beibei Xiong, 2019. "Analysis of China’s Regional Eco-efficiency: A DEA Two-stage Network Approach with Equitable Efficiency Decomposition," Computational Economics, Springer;Society for Computational Economics, vol. 54(4), pages 1263-1285, December.
    68. Shuangjie Li & Hongyu Diao & Liming Wang & Chunqi Li, 2021. "Energy Efficiency Measurement: A VO TFEE Approach and Its Application," Sustainability, MDPI, vol. 13(4), pages 1-18, February.
    69. Yongzhong Jiang & Xueli Chen & Vivian Valdmanis & Tomas Baležentis, 2019. "Evaluating Economic and Environmental Performance of the Chinese Industry Sector," Sustainability, MDPI, vol. 11(23), pages 1-17, November.
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  41. Bangzhu Zhu & Shujiao Ma & Julien Chevallier & Yiming Wei, 2014. "Modeling the dynamics of European carbon futures price: a Zipf analysis," Working Papers 2014-155, Department of Research, Ipag Business School.

    Cited by:

    1. Zhang, Lixia & Luo, Qin & Guo, Xiaozhu & Umar, Muhammad, 2022. "Medium-term and long-term volatility forecasts for EUA futures with country-specific economic policy uncertainty indices," Resources Policy, Elsevier, vol. 77(C).
    2. Bangzhu Zhu & Shujiao Ma & Rui Xie & Julien Chevallier & Yi-Ming Wei, 2018. "Hilbert Spectra and Empirical Mode Decomposition: A Multiscale Event Analysis Method to Detect the Impact of Economic Crises on the European Carbon Market," Post-Print halshs-04250160, HAL.
    3. Fan, Xinghua & Li, Xuxia & Yin, Jiuli & Tian, Lixin & Liang, Jiaochen, 2019. "Similarity and heterogeneity of price dynamics across China’s regional carbon markets: A visibility graph network approach," Applied Energy, Elsevier, vol. 235(C), pages 739-746.
    4. Xianzi Yang & Chen Zhang & Yu Yang & Wenjun Wang & Zulfiqar Ali Wagan, 2022. "A new risk measurement method for China's carbon market," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(1), pages 1280-1290, January.
    5. Mehmet Balcilar & Riza Demirer & Shawkat Hammoudeh & Duc Khuong Nguyen, 2014. "Risk Spillovers across the Energy and Carbon Markets and Hedging Strategies for Carbon Risk," Working Papers 15-10, Eastern Mediterranean University, Department of Economics.
    6. Chang, Kai & Chen, Rongda & Chevallier, Julien, 2018. "Market fragmentation, liquidity measures and improvement perspectives from China's emissions trading scheme pilots," Energy Economics, Elsevier, vol. 75(C), pages 249-260.
    7. Andreas Karpf & Antoine Mandel & Stefano Battiston, 2018. "Price and network dynamics in the European carbon market," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-01905985, HAL.
    8. Vlad-Cosmin Bulai & Alexandra Horobet & Oana Cristina Popovici & Lucian Belascu & Sofia Adriana Dumitrescu, 2021. "A VaR-Based Methodology for Assessing Carbon Price Risk across European Union Economic Sectors," Energies, MDPI, vol. 14(24), pages 1-21, December.
    9. Chang, Kai & Pei, Ping & Zhang, Chao & Wu, Xin, 2017. "Exploring the price dynamics of CO2 emissions allowances in China's emissions trading scheme pilots," Energy Economics, Elsevier, vol. 67(C), pages 213-223.
    10. Wen, Xiaoqian & Bouri, Elie & Roubaud, David, 2017. "Can energy commodity futures add to the value of carbon assets?," Economic Modelling, Elsevier, vol. 62(C), pages 194-206.
    11. Bangzhu Zhu & Shunxin Ye & Kaijian He & Julien Chevallier & Rui Xie, 2019. "Measuring the risk of European carbon market: an empirical mode decomposition-based value at risk approach," Annals of Operations Research, Springer, vol. 281(1), pages 373-395, October.
    12. Zhao Liu & Ling Li & Yue-Jun Zhang, 2015. "Investigating the CO 2 emission differences among China’s transport sectors and their influencing factors," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 77(2), pages 1323-1343, June.
    13. Yue-Jun Zhang, 2016. "Research on carbon emission trading mechanisms: current status and future possibilities," International Journal of Global Energy Issues, Inderscience Enterprises Ltd, vol. 39(1/2), pages 89-107.
    14. Bangzhu Zhu & Ping Wang & Julien Chevallier & Yi‐Ming Wei, 2023. "Enriching the value‐at‐risk framework to ensemble empirical mode decomposition with an application to the European carbon market," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 28(3), pages 2975-2988, July.
    15. Getachew Nigatu, 2016. "Assessing the effects of climate change policy on the volatility of carbon prices in reference to the Great Recession," Journal of Environmental Economics and Policy, Taylor & Francis Journals, vol. 5(2), pages 200-215, July.

  42. Hao Yu & Bao-Jun Tang & Xiao-Chen Yuan & Shouyang Wang & Yi-Ming Wei, 2014. "How do the appliance energy standards work in China? Evidence from room air conditioners," CEEP-BIT Working Papers 69, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.

    Cited by:

    1. Zhuangai Li & Xia Cao, 2021. "Effectiveness of China’s Labeling and Incentive Programs for Household Energy Conservation and Policy Implications," Sustainability, MDPI, vol. 13(4), pages 1-17, February.

  43. Yu Hao & Hua Liao & Yi-Ming Wei, 2014. "Is China's carbon reduction target allocation reasonable? An analysis based on carbon intensity convergence," CEEP-BIT Working Papers 71, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.

    Cited by:

    1. Longyu Shi & Fengmei Yang & Lijie Gao, 2020. "The Allocation of Carbon Intensity Reduction Target by 2030 among Cities in China," Energies, MDPI, vol. 13(22), pages 1-14, November.
    2. Jie Zhang & Lu Zhang, 2016. "Impacts on CO 2 Emission Allowance Prices in China: A Quantile Regression Analysis of the Shanghai Emission Trading Scheme," Sustainability, MDPI, vol. 8(11), pages 1-12, November.
    3. Wu, Jianxin & Wu, Yanrui & Guo, Xiumei & Cheong, Tsun Se, 2016. "Convergence of carbon dioxide emissions in Chinese cities: A continuous dynamic distribution approach," Energy Policy, Elsevier, vol. 91(C), pages 207-219.
    4. Luo, Yusen & Lu, Zhengnan & Wu, Chao, 2023. "Can internet development accelerate the green innovation efficiency convergence: Evidence from China," Technological Forecasting and Social Change, Elsevier, vol. 189(C).
    5. Ping Wang & Bangzhu Zhu, 2016. "Estimating the Contribution of Industry Structure Adjustment to the Carbon Intensity Target: A Case of Guangdong," Sustainability, MDPI, vol. 8(4), pages 1-11, April.
    6. Jian-Xin Wu & Ling-Yun He, 2017. "The Distribution Dynamics of Carbon Dioxide Emissions Intensity across Chinese Provinces: A Weighted Approach," Sustainability, MDPI, vol. 9(1), pages 1-19, January.
    7. Michał Gostkowski & Tomasz Rokicki & Luiza Ochnio & Grzegorz Koszela & Kamil Wojtczuk & Marcin Ratajczak & Hubert Szczepaniuk & Piotr Bórawski & Aneta Bełdycka-Bórawska, 2021. "Clustering Analysis of Energy Consumption in the Countries of the Visegrad Group," Energies, MDPI, vol. 14(18), pages 1-25, September.
    8. Jia, Ruining & Shao, Shuai & Yang, Lili, 2021. "High-speed rail and CO2 emissions in urban China: A spatial difference-in-differences approach," Energy Economics, Elsevier, vol. 99(C).
    9. Chiu-Ming Hsiao, 2022. "Economic Growth, CO 2 Emissions Quota and Optimal Allocation under Uncertainty," Sustainability, MDPI, vol. 14(14), pages 1-26, July.
    10. Chen, Jiandong & Xu, Chong & Huang, Shuo & Shen, Zhiyang & Song, Malin & Wang, Shiqi, 2022. "Adjusted carbon intensity in China: Trend, driver, and network," Energy, Elsevier, vol. 251(C).
    11. Parker, Steven & Bhatti, M. Ishaq, 2020. "Dynamics and drivers of per capita CO2 emissions in Asia," Energy Economics, Elsevier, vol. 89(C).
    12. Xiao, Hao & Sun, Ke-Juan & Bi, Hui-Min & Meng, Bo, 2021. "Attribution of changes in an intensity index," Energy, Elsevier, vol. 216(C).
    13. Hao, Yu & Zhang, Zong-Yong & Yang, Chuxiao & Wu, Haitao, 2021. "Does structural labor change affect CO2 emissions? Theoretical and empirical evidence from China," Technological Forecasting and Social Change, Elsevier, vol. 171(C).
    14. Wang, Miao & Feng, Chao, 2017. "Decomposition of energy-related CO2 emissions in China: An empirical analysis based on provincial panel data of three sectors," Applied Energy, Elsevier, vol. 190(C), pages 772-787.
    15. Chen, Jiandong & Cheng, Shulei & Song, Malin & Wu, Yinyin, 2016. "A carbon emissions reduction index: Integrating the volume and allocation of regional emissions," Applied Energy, Elsevier, vol. 184(C), pages 1154-1164.
    16. Ji, Xiang & Li, Guo & Wang, Zhaohua, 2017. "Allocation of emission permits for China’s power plants: A systemic Pareto optimal method," Applied Energy, Elsevier, vol. 204(C), pages 607-619.
    17. Zheng, Bo & Zhang, Qiang & Borken-Kleefeld, Jens & Huo, Hong & Guan, Dabo & Klimont, Zbigniew & Peters, Glen P. & He, Kebin, 2015. "How will greenhouse gas emissions from motor vehicles be constrained in China around 2030?," Applied Energy, Elsevier, vol. 156(C), pages 230-240.
    18. Hanhua Shao & Jixin Cheng & Yuansheng Wang & Xiaoming Li, 2022. "Can Digital Finance Promote Comprehensive Carbon Emission Performance? Evidence from Chinese Cities," IJERPH, MDPI, vol. 19(16), pages 1-18, August.
    19. Behrang Vand & Aira Hast & Sanaz Bozorg & Zelin Li & Sanna Syri & Shuai Deng, 2019. "Consumers’ Attitudes to Support Green Energy: A Case Study in Shanghai," Energies, MDPI, vol. 12(12), pages 1-20, June.
    20. Xinghua Wang & Shunchen Wu & Xiaojuan Qin & Meixiang La & Haixia Zuo, 2022. "Informal Environment Regulation, Green Technology Innovation and Air Pollution: Quasi-Natural Experiments from Prefectural Cities in China," Sustainability, MDPI, vol. 14(10), pages 1-13, May.
    21. Pan Zhang & Jiannan Wu, 2018. "Performance-Based or Politic-Related Decomposition of Environmental Targets: A Multilevel Analysis in China," Sustainability, MDPI, vol. 10(10), pages 1-16, September.
    22. Wu, Ya & Zhang, Wanying, 2016. "The driving factors behind coal demand in China from 1997 to 2012: An empirical study of input-output structural decomposition analysis," Energy Policy, Elsevier, vol. 95(C), pages 126-134.
    23. Qiang Du & Min Wu & Yadan Xu & Xinran Lu & Libiao Bai & Ming Yu, 2018. "Club convergence and spatial distribution dynamics of carbon intensity in China’s construction industry," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 94(2), pages 519-536, November.
    24. Thomakos, Dimitrios D. & Alexopoulos, Thomas A., 2016. "Carbon intensity as a proxy for environmental performance and the informational content of the EPI," Energy Policy, Elsevier, vol. 94(C), pages 179-190.
    25. Karakaya, Etem & Yılmaz, Burcu & Alataş, Sedat, 2018. "How Production Based and Consumption Based Emissions Accounting Systems Change Climate Policy Analysis: The Case of CO2 Convergence," MPRA Paper 88781, University Library of Munich, Germany.
    26. Han, Lei & Han, Botang & Shi, Xunpeng & Su, Bin & Lv, Xin & Lei, Xiao, 2018. "Energy efficiency convergence across countries in the context of China’s Belt and Road initiative," Applied Energy, Elsevier, vol. 213(C), pages 112-122.
    27. Francesch-Huidobro, Maria, 2016. "Climate change and energy policies in Shanghai: A multilevel governance perspective," Applied Energy, Elsevier, vol. 164(C), pages 45-56.
    28. Hao, Yu & Peng, Hui, 2017. "On the convergence in China's provincial per capita energy consumption: New evidence from a spatial econometric analysis," Energy Economics, Elsevier, vol. 68(C), pages 31-43.
    29. Chang, Kai & Chang, Hao, 2016. "Cutting CO2 intensity targets of interprovincial emissions trading in China," Applied Energy, Elsevier, vol. 163(C), pages 211-221.
    30. Cheng, Zhonghua & Li, Lianshui & Liu, Jun, 2018. "Industrial structure, technical progress and carbon intensity in China's provinces," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P2), pages 2935-2946.
    31. Zhou, Xiaoyong & Zhou, Dequn & Wang, Qunwei & Su, Bin, 2020. "Who shapes China's carbon intensity and how? A demand-side decomposition analysis," Energy Economics, Elsevier, vol. 85(C).
    32. Shiwei Yu & Xing Hu & Xuejiao Zhang & Zhenxi Li, 2019. "Convergence of per capita carbon emissions in the Yangtze River Economic Belt, China," Energy & Environment, , vol. 30(5), pages 776-799, August.
    33. Bhattacharya, Mita & Inekwe, John N. & Sadorsky, Perry, 2020. "Consumption-based and territory-based carbon emissions intensity: Determinants and forecasting using club convergence across countries," Energy Economics, Elsevier, vol. 86(C).
    34. Xie, Qichang & Ma, Di & Raza, Muhammad Yousaf & Tang, Songlin & Bai, Dingchuan, 2023. "Toward carbon peaking and neutralization: The heterogeneous stochastic convergence of CO2 emissions and the role of digital inclusive finance," Energy Economics, Elsevier, vol. 125(C).
    35. Shen, Neng & Peng, Hui & Wang, Qunwei, 2021. "Spatial dependence, agglomeration externalities and the convergence of carbon productivity," Socio-Economic Planning Sciences, Elsevier, vol. 78(C).
    36. Borowiec, Justyna & Papież, Monika, 2024. "Convergence of CO2 emissions in countries at different stages of development. Do globalisation and environmental policies matter?," Energy Policy, Elsevier, vol. 184(C).
    37. Ning, Yadong & Chen, Kunkun & Zhang, Boya & Ding, Tao & Guo, Fei & Zhang, Ming, 2020. "Energy conservation and emission reduction path selection in China: A simulation based on Bi-Level multi-objective optimization model," Energy Policy, Elsevier, vol. 137(C).
    38. Wang, Zhaohua & Huang, Wanjing & Chen, Zhongfei, 2019. "The peak of CO2 emissions in China: A new approach using survival models," Energy Economics, Elsevier, vol. 81(C), pages 1099-1108.
    39. Han, Rong & Li, Jianglong & Guo, Zhi, 2022. "Optimal quota in China's energy capping policy in 2030 with renewable targets and sectoral heterogeneity," Energy, Elsevier, vol. 239(PA).
    40. Tsun Se Cheong & Yanrui Wu & Jianxin Wu, 2016. "Evolution of carbon dioxide emissions in Chinese cities: trends and transitional dynamics," Journal of the Asia Pacific Economy, Taylor & Francis Journals, vol. 21(3), pages 357-377, July.
    41. Octavio Fernández-Amador & Doris A. Oberdabernig & Patrick Tomberger, 2019. "Testing for Convergence in Carbon Dioxide Emissions Using a Bayesian Robust Structural Model," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 73(4), pages 1265-1286, August.
    42. Wang, Yizhong & Jeong, Sujong & Hang, Ye & Wang, Qunwei, 2024. "Multi-sector environmental efficiency and productivity: A general Leontief optimization method," Omega, Elsevier, vol. 126(C).
    43. Meng Sun & Yue Zhang & Yaqi Hu & Jiayi Zhang, 2022. "Spatial Convergence of Carbon Productivity: Theoretical Analysis and Chinese Experience," IJERPH, MDPI, vol. 19(8), pages 1-19, April.
    44. Zheng, Shenglin & Yuan, Rong, 2023. "Sectoral convergence analysis of China's emissions intensity and its implications," Energy, Elsevier, vol. 262(PB).

  44. Yi-Ming Wei & Zhi-Fu Mi & Zhiming Huang, 2014. "Climate policy modeling: An online SCI-E and SSCI based literature review," CEEP-BIT Working Papers 58, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.

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    1. Jo o Estev o, 2021. "Toward the Paris Agreement Implementation Impact on Electricity Sector: The Emerging Reality," International Journal of Energy Economics and Policy, Econjournals, vol. 11(1), pages 1-8.
    2. Jiaquan Li & Zhifu Mi & Yi-Ming Wei & Jingli Fan & Yang Yang & Yunbing Hou, 2019. "Flexible options to provide energy for capturing carbon dioxide in coal-fired power plants under the Clean Development Mechanism," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 24(8), pages 1483-1505, December.
    3. Xiao-Chen Yuan & Xun Sun & Upmanu Lall & Zhi-Fu Mi & Jun He & Yi-Ming Wei, 2016. "China’s socioeconomic risk from extreme events in a changing climate: a hierarchical Bayesian model," Climatic Change, Springer, vol. 139(2), pages 169-181, November.
    4. Zhi-Fu Mi & Yi-Ming Wei & Chen-Qi He & Hua-Nan Li & Xiao-Chen Yuan & Hua Liao, 2017. "Regional efforts to mitigate climate change in China: a multi-criteria assessment approach," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 22(1), pages 45-66, January.
    5. Bing Wang & Chao-Qun Cui & Yi-Xin Zhao & Man Chen & Xiao-Chen Yuan, 2019. "Climate change mitigation in the coal mining industry: low-carbon pathways and mine safety indicators," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 95(1), pages 25-38, January.
    6. Hache, Emmanuel & Palle, Angélique, 2019. "Renewable energy source integration into power networks, research trends and policy implications: A bibliometric and research actors survey analysis," Energy Policy, Elsevier, vol. 124(C), pages 23-35.
    7. Tomas Baležentis & Dalia Štreimikienė, 2019. "Sustainability in the Electricity Sector through Advanced Technologies: Energy Mix Transition and Smart Grid Technology in China," Energies, MDPI, vol. 12(6), pages 1-21, March.
    8. Nieddu, Marcello & Bertani, Filippo & Ponta, Linda, 2021. "Sustainability transition and digital trasformation: an agent-based perspective," MPRA Paper 106943, University Library of Munich, Germany.
    9. Truong, Chi & Trück, Stefan & Mathew, Supriya, 2018. "Managing risks from climate impacted hazards – The value of investment flexibility under uncertainty," European Journal of Operational Research, Elsevier, vol. 269(1), pages 132-145.
    10. Wang, Lu & Wei, Yi-Ming & Brown, Marilyn A., 2017. "Global transition to low-carbon electricity: A bibliometric analysis," Applied Energy, Elsevier, vol. 205(C), pages 57-68.
    11. Kang, Jia-Ning & Wei, Yi-Ming & Liu, Lan-Cui & Han, Rong & Yu, Bi-Ying & Wang, Jin-Wei, 2020. "Energy systems for climate change mitigation: A systematic review," Applied Energy, Elsevier, vol. 263(C).
    12. Ke Wang & Yi-Ming Wei & Zhimin Huang, 2015. "Potential gains from carbon emissions trading in China: A DEA based estimation on abatement cost savings," CEEP-BIT Working Papers 84, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
    13. Tian, Xu & Dai, Hancheng & Geng, Yong & Huang, Zhen & Masui, Toshihiko & Fujita, Tsuyoshi, 2017. "The effects of carbon reduction on sectoral competitiveness in China: A case of Shanghai," Applied Energy, Elsevier, vol. 197(C), pages 270-278.
    14. Yu-Jie Hu & Lishan Yang & Fali Duan & Honglei Wang & Chengjiang Li, 2022. "A Scientometric Analysis and Review of the Emissions Trading System," Energies, MDPI, vol. 15(12), pages 1-20, June.
    15. Yi-Ming Wei & Rong Han & Qiao-Mei Liang & Bi-Ying Yu & Yun-Fei Yao & Mei-Mei Xue & Kun Zhang & Li-Jing Liu & Juan Peng & Pu Yang & Zhi-Fu Mi & Yun-Fei Du & Ce Wang & Jun-Jie Chang & Qian-Ru Yang & Zil, 2018. "An integrated assessment of INDCs under Shared Socioeconomic Pathways: an implementation of C3IAM," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 92(2), pages 585-618, June.
    16. Ciarli, Tommaso & Savona, Maria, 2019. "Modelling the Evolution of Economic Structure and Climate Change: A Review," Ecological Economics, Elsevier, vol. 158(C), pages 51-64.
    17. Matteo Cinelli & Valerio Ficcadenti & Jessica Riccioni, 2021. "The interconnectedness of the economic content in the speeches of the US Presidents," Annals of Operations Research, Springer, vol. 299(1), pages 593-615, April.
    18. Dzyuba, Yu. & Bakalova, I., 2023. "CGE models for resource-based economy: A comprehensive bibliometric analysis," Journal of the New Economic Association, New Economic Association, vol. 61(4), pages 12-50.
    19. Zhifu Mi & Hua Liao & D’Maris Coffman & Yi-Ming Wei, 2019. "Assessment of equity principles for international climate policy based on an integrated assessment model," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 95(1), pages 309-323, January.
    20. Geng, Zhaowei & Conejo, Antonio J. & Chen, Qixin & Xia, Qing & Kang, Chongqing, 2017. "Electricity production scheduling under uncertainty: Max social welfare vs. min emission vs. max renewable production," Applied Energy, Elsevier, vol. 193(C), pages 540-549.
    21. Wesseh, Presley K. & Lin, Boqiang, 2016. "Modeling environmental policy with and without abatement substitution: A tradeoff between economics and environment?," Applied Energy, Elsevier, vol. 167(C), pages 34-43.
    22. Mi, Zhifu & Zhang, Yunkun & Guan, Dabo & Shan, Yuli & Liu, Zhu & Cong, Ronggang & Yuan, Xiao-Chen & Wei, Yi-Ming, 2016. "Consumption-based emission accounting for Chinese cities," Applied Energy, Elsevier, vol. 184(C), pages 1073-1081.
    23. Samin Shaaban-Nejad & Farid Shirazi, 2022. "ICT and Environmental Sustainability: A Comparative Study," Sustainability, MDPI, vol. 14(14), pages 1-24, July.
    24. Cui, Qiang & Wei, Yi-Ming & Li, Ye, 2016. "Exploring the impacts of the EU ETS emission limits on airline performance via the Dynamic Environmental DEA approach," Applied Energy, Elsevier, vol. 183(C), pages 984-994.
    25. Tadepalli S. Murty, 2018. "Integrated assessment model for climate change in China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 92(2), pages 581-583, June.
    26. Daming You & Ke Jiang & Zhendong Li, 2018. "Optimal Coordination Strategy of Regional Vertical Emission Abatement Collaboration in a Low-Carbon Environment," Sustainability, MDPI, vol. 10(2), pages 1-18, February.
    27. Zhang, Zhonghua & Zhao, Yuhuan & Su, Bin & Zhang, Yongfeng & Wang, Song & Liu, Ya & Li, Hao, 2017. "Embodied carbon in China’s foreign trade: An online SCI-E and SSCI based literature review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 68(P1), pages 492-510.
    28. Azam Ghezelbash & Vahid Khaligh & Seyed Hamed Fahimifard & J. Jay Liu, 2023. "A Comparative Perspective of the Effects of CO 2 and Non-CO 2 Greenhouse Gas Emissions on Global Solar, Wind, and Geothermal Energy Investment," Energies, MDPI, vol. 16(7), pages 1-20, March.
    29. Fery Andrianus & Hefrizal Handra & Putri Ayu & Pipin Dwi Safitri & Ria Vinola K. Cahyadi, 2024. "The Impact of Implementing a Carbon Tax on Welfare: Case Study of Indonesia and The Other ASEAN Member Countries," International Journal of Energy Economics and Policy, Econjournals, vol. 14(3), pages 647-657, May.
    30. Chang-Jing Ji & Xiao-Yi Li & Yu-Jie Hu & Xiang-Yu Wang & Bao-Jun Tang, 2019. "Research on carbon price in emissions trading scheme: a bibliometric analysis," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 99(3), pages 1381-1396, December.
    31. Hao Yu & Yi-Ming Wei & Bao-Jun Tang & Zhifu Mi & Su-Yan Pan, 2017. "Assessment on the research trend of low-carbon energy technology investment: A bibliometric analysis," CEEP-BIT Working Papers 106, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
    32. Bangzhu Zhu & Shunxin Ye & Ping Wang & Julien Chevallier & Yi‐Ming Wei, 2022. "Forecasting carbon price using a multi‐objective least squares support vector machine with mixture kernels," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 41(1), pages 100-117, January.
    33. de Paulo, Alex Fabianne & Porto, Geciane Silveira, 2017. "Solar energy technologies and open innovation: A study based on bibliometric and social network analysis," Energy Policy, Elsevier, vol. 108(C), pages 228-238.
    34. Xian, Yujiao & Wang, Ke & Wei, Yi-Ming & Huang, Zhimin, 2019. "Would China’s power industry benefit from nationwide carbon emission permit trading? An optimization model-based ex post analysis on abatement cost savings," Applied Energy, Elsevier, vol. 235(C), pages 978-986.
    35. Li, Xuelian & Lu, Tinghui & Lin, Jyh-Horng & Lai, Yingkuan, 2023. "Assessing insurer green finance in response to manufacturing carbon emissions trading in a dragon-king environment: A capped barrier cap option approach," Energy Economics, Elsevier, vol. 128(C).
    36. Qingyou Yan & Youwei Wan & Jingye Yuan & Jieting Yin & Tomas Baležentis & Dalia Streimikiene, 2017. "Economic and Technical Efficiency of the Biomass Industry in China: A Network Data Envelopment Analysis Model Involving Externalities," Energies, MDPI, vol. 10(9), pages 1-19, September.
    37. Chen, Hao & Tang, Bao-Jun & Liao, Hua & Wei, Yi-Ming, 2016. "A multi-period power generation planning model incorporating the non-carbon external costs: A case study of China," Applied Energy, Elsevier, vol. 183(C), pages 1333-1345.
    38. L. Dary Beltran & Manuel Alejandro Cardenete & Ferran Sancho, 2024. "Designing an environmental tax on carbon emissions to meet EU targets: a proposal for the Spanish economy," UFAE and IAE Working Papers 975.24, Unitat de Fonaments de l'Anàlisi Econòmica (UAB) and Institut d'Anàlisi Econòmica (CSIC).
    39. Matteo Cinelli & Valerio Ficcadenti & Jessica Riccioni, 2020. "The interconnectedness of the economic content in the speeches of the US Presidents," Papers 2002.07880, arXiv.org.
    40. Ru Li & Bao-Jun Tang, 2016. "Initial carbon quota allocation methods of power sectors: a China case study," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 84(2), pages 1075-1089, November.
    41. Fan, Jing-Li & Hou, Yun-Bing & Wang, Qian & Wang, Ce & Wei, Yi-Ming, 2016. "Exploring the characteristics of production-based and consumption-based carbon emissions of major economies: A multiple-dimension comparison," Applied Energy, Elsevier, vol. 184(C), pages 790-799.
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    43. Chen, Xia & Fu, Qiang & Chang, Chun-Ping, 2021. "What are the shocks of climate change on clean energy investment: A diversified exploration," Energy Economics, Elsevier, vol. 95(C).
    44. Yuxiang Zhang & Deqing Tan & Zhi Liu, 2019. "Leasing or Selling? Durable Goods Manufacturer Marketing Model Selection under a Mixed Carbon Trading-and-Tax Policy Scenario," IJERPH, MDPI, vol. 16(2), pages 1-29, January.
    45. Jiaquan Li & Yunbing Hou & Pengtao Wang & Bo Yang, 2018. "A Review of Carbon Capture and Storage Project Investment and Operational Decision-Making Based on Bibliometrics," Energies, MDPI, vol. 12(1), pages 1-22, December.
    46. Vafadarnikjoo, Amin & Chalvatzis, Konstantinos & Botelho, Tiago & Bamford, David, 2023. "A stratified decision-making model for long-term planning: Application in flood risk management in Scotland," Omega, Elsevier, vol. 116(C).
    47. Mi, Zhifu & Zheng, Jiali & Meng, Jing & Zheng, Heran & Li, Xian & Coffman, D'Maris & Woltjer, Johan & Wang, Shouyang & Guan, Dabo, 2019. "Carbon emissions of cities from a consumption-based perspective," Applied Energy, Elsevier, vol. 235(C), pages 509-518.
    48. Shenghao Feng & Keyu Zhang & Xiujian Peng, 2021. "Elasticity of Substitution Between Electricity and Non-Electric Energy in the Context of Carbon Neutrality in China," Centre of Policy Studies/IMPACT Centre Working Papers g-323, Victoria University, Centre of Policy Studies/IMPACT Centre.
    49. Zhi-Fu Mi & Yi-Ming Wei & Bing Wang & Jing Meng & Zhu Liu & Yuli Shan & Jingru Liu & Dabo Guan, 2017. "Socioeconomic impact assessment of China's CO2 emissions peak prior to 2030," CEEP-BIT Working Papers 103, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
    50. Yu-Jie Hu & Rong Han & Bao-Jun Tang, 2017. "Research on the initial allocation of carbon emission quotas: evidence from China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 85(2), pages 1189-1208, January.
    51. Wesseh, Presley K. & Lin, Boqiang & Atsagli, Philip, 2017. "Carbon taxes, industrial production, welfare and the environment," Energy, Elsevier, vol. 123(C), pages 305-313.

  45. Yi-Xuan Gao & Hua Liao & Paul J. Burke & Yi-Ming Wei, 2014. "Road transport energy consumption in the G7 and BRICS: 1973-2010," CEEP-BIT Working Papers 79, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.

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    1. Samir Saidi, 2021. "Freight transport and energy consumption: What impact on carbon dioxide emissions and environmental quality in MENA countries?," Economic Change and Restructuring, Springer, vol. 54(4), pages 1119-1145, November.
    2. Saidi, Samir & Shahbaz, Muhammad & Akhtar, Pervaiz, 2018. "The long-run relationships between transport energy consumption, transport infrastructure, and economic growth in MENA countries," Transportation Research Part A: Policy and Practice, Elsevier, vol. 111(C), pages 78-95.
    3. Best, Rohan, 2017. "Switching towards coal or renewable energy? The effects of financial capital on energy transitions," Energy Economics, Elsevier, vol. 63(C), pages 75-83.
    4. Samir, Saidi & Shahbaz, Muhammad & Akhtar, Pervaiz, 2018. "The Long-Run Relationship between Transport Energy Consumption and Transport Infrastructure on Economic Growth in MENA Countries," MPRA Paper 85037, University Library of Munich, Germany, revised 06 Mar 2018.
    5. Paul J. Burke & Zsuzsanna Csereklyei, 2016. "Understanding the energy-GDP elasticity: A sectoral approach," CAMA Working Papers 2016-45, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    6. Malik, Afia, 2018. "Fuel Demand in Pakistan's TRansport Sector," MPRA Paper 103455, University Library of Munich, Germany.

  46. Yu Hao & Zong-Yong Zhang & Hua Liao & Yi-Ming Wei, 2014. "China's Farewell to Coal: A Forecast of Coal Consumption through 2020," CEEP-BIT Working Papers 76, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.

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    1. Zhang, Yanfang & Shi, Xunpeng & Qian, Xiangyan & Chen, Sai & Nie, Rui, 2021. "Macroeconomic effect of energy transition to carbon neutrality: Evidence from China's coal capacity cut policy," Energy Policy, Elsevier, vol. 155(C).
    2. Shi, Xunpeng & Yu, Jian & Cheong, Tsun Se, 2020. "Convergence and distribution dynamics of energy consumption among China's households," Energy Policy, Elsevier, vol. 142(C).
    3. Burke, Paul J. & Liao, Hua, 2015. "Is the price elasticity of demand for coal in China increasing?," China Economic Review, Elsevier, vol. 36(C), pages 309-322.
    4. Sibande, Xolani & Demirer, Riza & Balcilar, Mehmet & Gupta, Rangan, 2023. "On the pricing effects of bitcoin mining in the fossil fuel market: The case of coal," Resources Policy, Elsevier, vol. 85(PB).
    5. Wang, Ce & Li, Bing-Bing & Liang, Qiao-Mei & Wang, Jin-Cheng, 2018. "Has China’s coal consumption already peaked? A demand-side analysis based on hybrid prediction models," Energy, Elsevier, vol. 162(C), pages 272-281.
    6. Abdul Rehman & Hengyun Ma & Magdalena Radulescu & Crenguta Ileana Sinisi & Zahid Yousaf, 2021. "Energy Crisis in Pakistan and Economic Progress: Decoupling the Impact of Coal Energy Consumption in Power and Brick Kilns," Mathematics, MDPI, vol. 9(17), pages 1-15, August.
    7. Xiang, Hongjin & Kuang, Yanxiang & He, Hongbo & Yao, Shujie, 2022. "Could tariffs reduce overcapacity and environmental pollution? Evidence from China’s adjustment of tariffs on coal," Economic Analysis and Policy, Elsevier, vol. 75(C), pages 129-144.
    8. Zhang, Yujiang & Feng, Guorui & Zhang, Min & Ren, Hongrui & Bai, Jinwen & Guo, Yuxia & Jiang, Haina & Kang, Lixun, 2016. "Residual coal exploitation and its impact on sustainable development of the coal industry in China," Energy Policy, Elsevier, vol. 96(C), pages 534-541.
    9. Hui Yu & Wei Wang & Baohua Yang & Cunfang Li, 2019. "Evolutionary Game Analysis of the Stress Effect of Cross-Regional Transfer of Resource-Exhausted Enterprises," Complexity, Hindawi, vol. 2019, pages 1-16, November.
    10. Yujing Liu & Ruoyun Du & Dongxiao Niu, 2022. "Forecast of Coal Demand in Shanxi Province Based on GA—LSSVM under Multiple Scenarios," Energies, MDPI, vol. 15(17), pages 1-16, September.
    11. Lingyun He & Zhangqi Zhong & Fang Yin & Deqing Wang, 2018. "Impact of Energy Consumption on Air Quality in Jiangsu Province of China," Sustainability, MDPI, vol. 10(1), pages 1-22, January.
    12. Meizhen Zhang & Tao Lv & Xu Deng & Yuanxu Dai & Muhammad Sajid, 2019. "Diffusion of China’s coal-fired power generation technologies: historical evolution and development trends," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 95(1), pages 7-23, January.
    13. Chanyuan Liu & Long Xin & Jinye Li & Huaping Sun, 2022. "The Impact of Renewable Energy Technology Innovation on Industrial Green Transformation and Upgrading: Beggar Thy Neighbor or Benefiting Thy Neighbor," Sustainability, MDPI, vol. 14(18), pages 1-28, September.
    14. Baskoro, Firly Rachmaditya & Takahashi, Katsuhiko & Morikawa, Katsumi & Nagasawa, Keisuke, 2021. "System dynamics approach in determining coal utilization scenario in Indonesia," Resources Policy, Elsevier, vol. 73(C).
    15. Zhang Chenghu & Muhammad Arif & Khurram Shehzad & Mahmood Ahmad & Judit Oláh, 2021. "Modeling the Dynamic Linkage between Tourism Development, Technological Innovation, Urbanization and Environmental Quality: Provincial Data Analysis of China," IJERPH, MDPI, vol. 18(16), pages 1-21, August.
    16. Wu, Haitao & Xu, Lina & Ren, Siyu & Hao, Yu & Yan, Guoyao, 2020. "How do energy consumption and environmental regulation affect carbon emissions in China? New evidence from a dynamic threshold panel model," Resources Policy, Elsevier, vol. 67(C).
    17. Zhang, Kun & Zhang, Zong-Yong & Liang, Qiao-Mei, 2017. "An empirical analysis of the green paradox in China: From the perspective of fiscal decentralization," Energy Policy, Elsevier, vol. 103(C), pages 203-211.
    18. Ahmad Farabi & Azrai Abdullah & Rahmat Heru Setianto, 2019. "Energy Consumption, Carbon Emissions and Economic Growth in Indonesia and Malaysia," International Journal of Energy Economics and Policy, Econjournals, vol. 9(3), pages 338-345.
    19. Li, Haoran & Cui, Xueqin & Hui, Jingxuan & He, Gang & Weng, Yuwei & Nie, Yaoyu & Wang, Can & Cai, Wenjia, 2021. "Catchment-level water stress risk of coal power transition in China under 2℃/1.5℃ targets," Applied Energy, Elsevier, vol. 294(C).
    20. Tian-Tian Li & Yun-Ze Li & Zhuang-Zhuang Zhai & En-Hui Li & Tong Li, 2019. "Energy-Saving Strategies and their Energy Analysis and Exergy Analysis for In Situ Thermal Remediation System of Polluted-Soil," Energies, MDPI, vol. 12(20), pages 1-28, October.
    21. Zhang, Xiaohan & Winchester, Niven & Zhang, Xiliang, 2017. "The future of coal in China," Energy Policy, Elsevier, vol. 110(C), pages 644-652.
    22. Xie, Minghua & Yi, Xiangyu & Liu, Kui & Sun, Chuanwang & Kong, Qingbao, 2023. "How much natural gas does China need: An empirical study from the perspective of energy transition," Energy, Elsevier, vol. 266(C).
    23. Zhang, Jinning & Wang, Jianlong & Yang, Xiaodong & Ren, Siyu & Ran, Qiying & Hao, Yu, 2021. "Does local government competition aggravate haze pollution? A new perspective of factor market distortion," Socio-Economic Planning Sciences, Elsevier, vol. 76(C).
    24. Wu, Ya & Zhang, Wanying, 2016. "The driving factors behind coal demand in China from 1997 to 2012: An empirical study of input-output structural decomposition analysis," Energy Policy, Elsevier, vol. 95(C), pages 126-134.
    25. Shi, Xunpeng & Rioux, Bertrand & Galkin, Philipp, 2018. "Unintended consequences of China’s coal capacity cut policy," Energy Policy, Elsevier, vol. 113(C), pages 478-486.
    26. Zhao, Changhong & Zhang, Weirong & Wang, Yang & Liu, Qilin & Guo, Jingsheng & Xiong, Minpeng & Yuan, Jiahai, 2017. "The economics of coal power generation in China," Energy Policy, Elsevier, vol. 105(C), pages 1-9.
    27. Liu, Dunnan & Zhao, Weidong & Li, Zhihao & Xu, Xiaofeng & Xiao, Bowen & Niu, Dongxiao, 2018. "Can hydropower develop as expected in China? A scenario analysis based on system dynamics model," Energy, Elsevier, vol. 161(C), pages 118-129.
    28. Zhang, Lixiao & Yang, Min & Zhang, Pengpeng & Hao, Yan & Lu, Zhongming & Shi, Zhimin, 2021. "De-coal process in urban China: What can we learn from Beijing's experience?," Energy, Elsevier, vol. 230(C).
    29. Hao, Yu & Zhang, Tianli & Jing, Leijie & Xiao, Linqi, 2019. "Would the decoupling of electricity occur along with economic growth? Empirical evidence from the panel data analysis for 100 Chinese cities," Energy, Elsevier, vol. 180(C), pages 615-625.
    30. Lu, Zhijian & Shao, Shuai, 2016. "Impacts of government subsidies on pricing and performance level choice in Energy Performance Contracting: A two-step optimal decision model," Applied Energy, Elsevier, vol. 184(C), pages 1176-1183.
    31. Xuguang Hao & Mei Song & Yunan Feng & Wen Zhang, 2019. "De-Capacity Policy Effect on China’s Coal Industry," Energies, MDPI, vol. 12(12), pages 1-16, June.
    32. Wang, Di & Shen, Ye & Zhao, Yueying & He, Wei & Liu, Xue & Qian, Xiangyan & Lv, Tao, 2020. "Integrated assessment and obstacle factor diagnosis of China's scientific coal production capacity based on the PSR sustainability framework," Resources Policy, Elsevier, vol. 68(C).
    33. Qiao, Hui & Chen, Siyu & Dong, Xiucheng & Dong, Kangyin, 2019. "Has China's coal consumption actually reached its peak? National and regional analysis considering cross-sectional dependence and heterogeneity," Energy Economics, Elsevier, vol. 84(C).
    34. Xiangyu Teng & Fan‐peng Liu & Yung‐ho Chiu, 2020. "The impact of coal and non‐coal consumption on China's energy performance improvement," Natural Resources Forum, Blackwell Publishing, vol. 44(4), pages 334-352, November.
    35. Wang, Xiaoyu & Luo, Dongkun & Zhao, Xu & Sun, Zhu, 2018. "Estimates of energy consumption in China using a self-adaptive multi-verse optimizer-based support vector machine with rolling cross-validation," Energy, Elsevier, vol. 152(C), pages 539-548.
    36. Yuan, Xiao-Chen & Sun, Xun & Zhao, Weigang & Mi, Zhifu & Wang, Bing & Wei, Yi-Ming, 2017. "Forecasting China’s regional energy demand by 2030: A Bayesian approach," Resources, Conservation & Recycling, Elsevier, vol. 127(C), pages 85-95.
    37. Zhang, Yanfang & Gao, Qi & Wei, Jinpeng & Shi, Xunpeng & Zhou, Dequn, 2023. "Can China's energy-consumption permit trading scheme achieve the “Porter” effect? Evidence from an estimated DSGE model," Energy Policy, Elsevier, vol. 180(C).
    38. Yu Hao & Shang Gao & Yunxia Guo & Zhiqiang Gai & Haitao Wu, 2021. "Measuring the nexus between economic development and environmental quality based on environmental Kuznets curve: a comparative study between China and Germany for the period of 2000–2017," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(11), pages 16848-16873, November.
    39. Junfeng Zhang & Hong Fang & Bo Peng & Xu Wang & Siran Fang, 2016. "Productivity Growth-Accounting for Undesirable Outputs and Its Influencing Factors: The Case of China," Sustainability, MDPI, vol. 8(11), pages 1-13, November.
    40. Kurniawan, Robi & Managi, Shunsuke, 2018. "Coal consumption, urbanization, and trade openness linkage in Indonesia," Energy Policy, Elsevier, vol. 121(C), pages 576-583.
    41. Yuan, Jiahai & Wang, Yang & Zhang, Weirong & Zhao, Changhong & Liu, Qian & Shen, Xinyi & Zhang, Kai & Dong, Liansai, 2017. "Will recent boom in coal power lead to a bust in China? A micro-economic analysis," Energy Policy, Elsevier, vol. 108(C), pages 645-656.
    42. Liu, Yiming & Hao, Yu & Gao, Yixuan, 2017. "The environmental consequences of domestic and foreign investment: Evidence from China," Energy Policy, Elsevier, vol. 108(C), pages 271-280.
    43. Zaman, Rafia & Brudermann, Thomas & Kumar, S. & Islam, Nazrul, 2018. "A multi-criteria analysis of coal-based power generation in Bangladesh," Energy Policy, Elsevier, vol. 116(C), pages 182-192.
    44. Huadong Gao & Baifu An & Zhen Han & Yachao Guo & Zeyu Ruan & Wei Li & Samuel Zayzay, 2020. "The Sustainable Development of Aged Coal Mine Achieved by Recovering Pillar-Blocked Coal Resources," Energies, MDPI, vol. 13(15), pages 1-12, July.
    45. Tang, Xu & Snowden, Simon & McLellan, Benjamin C. & Höök, Mikael, 2015. "Clean coal use in China: Challenges and policy implications," Energy Policy, Elsevier, vol. 87(C), pages 517-523.
    46. D. Jingyuan I. & L. Chong I. & L. Marsiliani & D. Jingyuan I. & L. Chong I. & L. Marsiliani, 2018. "Взаимосвязь между экономическим ростом и окружающей средой в Пекине на основе показателя PM2.5 // The Relationship between Growth and the Environment in Beijing, Using PM2.5 Concentrations," Review of Business and Economics Studies // Review of Business and Economics Studies, Финансовый Университет // Financial University, vol. 6(2), pages 5-18.
    47. Fan, Xinghua & Wang, Li & Li, Shasha, 2016. "Predicting chaotic coal prices using a multi-layer perceptron network model," Resources Policy, Elsevier, vol. 50(C), pages 86-92.
    48. Jia, Zong-qian & Zhou, Zhi-fang & Zhang, Hong-jie & Li, Bo & Zhang, You-xian, 2020. "Forecast of coal consumption in Gansu Province based on Grey-Markov chain model," Energy, Elsevier, vol. 199(C).
    49. Chai, Jian & Du, Mengfan & Liang, Ting & Sun, Xiaojie Christine & Yu, Ji & Zhang, Zhe George, 2019. "Coal consumption in China: How to bend down the curve?," Energy Economics, Elsevier, vol. 80(C), pages 38-47.
    50. Zhang, Qianxue & Liao, Hua & Hao, Yu, 2018. "Does one path fit all? An empirical study on the relationship between energy consumption and economic development for individual Chinese provinces," Energy, Elsevier, vol. 150(C), pages 527-543.
    51. Ouyang, Xiaoling & Wei, Xiaoyun & Sun, Chuanwang & Du, Gang, 2018. "Impact of factor price distortions on energy efficiency: Evidence from provincial-level panel data in China," Energy Policy, Elsevier, vol. 118(C), pages 573-583.
    52. Mohamad Taghvaee, Vahid & Seifi Aloo, Alireza & Khodaparast Shirazi, Jalil, 2016. "Energy, Environment, and Economy Interactions in Iran with Cointegrated and ECM Simultaneous Model," MPRA Paper 70508, University Library of Munich, Germany.
    53. Ma, Gang & Li, Xu & Zheng, Jianping, 2020. "Efficiency and equity in regional coal de-capacity allocation in China: A multiple objective programming model based on Gini coefficient and Data Envelopment Analysis," Resources Policy, Elsevier, vol. 66(C).
    54. Li, Zheng-Zheng & Su, Chi-Wei & Chang, Tsangyao & Lobonţ, Oana-Ramona, 2022. "Policy-driven or market-driven? Evidence from steam coal price bubbles in China," Resources Policy, Elsevier, vol. 78(C).
    55. Dong, Xiao-Ying & Hao, Yu, 2018. "Would income inequality affect electricity consumption? Evidence from China," Energy, Elsevier, vol. 142(C), pages 215-227.

  47. Bing Wang & Ioan Nistor & Tad Murty & Yi-Ming Wei, 2014. "Efficiency assessment of hydroelectric power plants in Canada: A multi criteria decision making approach," CEEP-BIT Working Papers 66, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.

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    1. Wang, Bing & Wang, Qian & Wei, Yi-Ming & Li, Zhi-Ping, 2018. "Role of renewable energy in China’s energy security and climate change mitigation: An index decomposition analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 90(C), pages 187-194.
    2. Jie Wu & Junfei Chu & Qingyuan Zhu & Pengzhen Yin & Liang Liang, 2016. "DEA cross-efficiency evaluation based on satisfaction degree: an application to technology selection," International Journal of Production Research, Taylor & Francis Journals, vol. 54(20), pages 5990-6007, October.
    3. Bing Wang & Hua-Nan Li & Xiao-Chen Yuan & Zhen-Ming Sun, 2017. "Energy Poverty in China: A Dynamic Analysis Based on a Hybrid Panel Data Decision Model," Energies, MDPI, vol. 10(12), pages 1-14, November.
    4. Priyanka Majumder & Mrinmoy Majumder & Apu Kumar Saha & Soumitra Nath, 2020. "Selection of features for analysis of reliability of performance in hydropower plants: a multi-criteria decision making approach," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 22(4), pages 3239-3265, April.
    5. Feng Lan & Wang Haisen & Yan Yan, 2022. "Spatial–Temporal Variations of Water Quality in Urban Rivers after Small Sluices Construction: A Case in Typical Regions of the Taihu Lake Basin," IJERPH, MDPI, vol. 19(19), pages 1-12, September.
    6. Sai, Rockson & Lin, Boqiang, 2022. "Productivity assessment of power generation in Kenya: What are the impacts?," Energy, Elsevier, vol. 254(PA).
    7. Michael O. Ukoba & Ogheneruona E. Diemuodeke & Mohammed Alghassab & Henry I. Njoku & Muhammad Imran & Zafar A. Khan, 2020. "Composite Multi-Criteria Decision Analysis for Optimization of Hybrid Renewable Energy Systems for Geopolitical Zones in Nigeria," Sustainability, MDPI, vol. 12(14), pages 1-27, July.
    8. Danish, Mir Sayed Shah & Senjyu, Tomonobu & Sabory, Najib Rahman & Danish, Sayed Mir Shah & Ludin, Gul Ahmad & Noorzad, Ahmad Samim & Yona, Atsushi, 2017. "Afghanistan's aspirations for energy independence: Water resources and hydropower energy," Renewable Energy, Elsevier, vol. 113(C), pages 1276-1287.
    9. Mohamed Dia & Shashi K. Shahi & Luckny Zéphyr, 2021. "An Assessment of the Efficiency of Canadian Power Generation Companies with Bootstrap DEA," JRFM, MDPI, vol. 14(10), pages 1-27, October.
    10. Lee, Chi-Chuan & Lee, Chien-Chiang, 2019. "Oil price shocks and Chinese banking performance: Do country risks matter?," Energy Economics, Elsevier, vol. 77(C), pages 46-53.
    11. Chang, Jianxia & Li, Yunyun & Yuan, Meng & Wang, Yimin, 2017. "Efficiency evaluation of hydropower station operation: A case study of Longyangxia station in the Yellow River, China," Energy, Elsevier, vol. 135(C), pages 23-31.
    12. Wang, Bing & Wei, Yi-Ming & Yuan, Xiao-Chen, 2018. "Possible design with equity and responsibility in China’s renewable portfolio standards," Applied Energy, Elsevier, vol. 232(C), pages 685-694.
    13. Anissa Frini & Sarah Benamor, 2018. "Making Decisions in a Sustainable Development Context: A State-of-the-Art Survey and Proposal of a Multi-period Single Synthesizing Criterion Approach," Computational Economics, Springer;Society for Computational Economics, vol. 52(2), pages 341-385, August.
    14. Lan Feng & Pan Hu & Haisen Wang & Ming-ming Chen & Jiangang Han, 2022. "Improving City Water Quality through Pollution Reduction with Urban Floodgate Infrastructure and Design Solutions: A Case Study in Wuxi, China," IJERPH, MDPI, vol. 19(17), pages 1-18, September.
    15. Barros, Carlos Pestana & Wanke, Peter, 2015. "An analysis of African airlines efficiency with two-stage TOPSIS and neural networks," Journal of Air Transport Management, Elsevier, vol. 44, pages 90-102.
    16. Perera, A.T.D. & Nik, Vahid M. & Mauree, Dasaraden & Scartezzini, Jean-Louis, 2017. "An integrated approach to design site specific distributed electrical hubs combining optimization, multi-criterion assessment and decision making," Energy, Elsevier, vol. 134(C), pages 103-120.
    17. Kelly P. Murillo & Eugenio M. Rocha, 2018. "The Portuguese Manufacturing Sector during 2013-2016 after the Troika Austerity Measures," World Journal of Applied Economics, WERI-World Economic Research Institute, vol. 4(1), pages 21-38, June.
    18. Boban Djordjević & Evelin Krmac, 2019. "Evaluation of Energy-Environment Efficiency of European Transport Sectors: Non-Radial DEA and TOPSIS Approach," Energies, MDPI, vol. 12(15), pages 1-27, July.
    19. Natalia Walczak & Zbigniew Walczak & Tomasz Tymiński, 2022. "Laboratory Research on Hydraulic Losses on SHP Inlet Channel Trash Racks," Energies, MDPI, vol. 15(20), pages 1-18, October.
    20. Bortoluzzi, Mirian & Furlan, Marcelo & dos Reis Neto, José Francisco, 2022. "Assessing the impact of hydropower projects in Brazil through data envelopment analysis and machine learning," Renewable Energy, Elsevier, vol. 200(C), pages 1316-1326.
    21. Aline Menezes & Peter Wanke & Jorge Antunes & Roberto Pimenta & Irineu Frare & André Andrade & Wallace Oliveira & Antonio Mamede, 2024. "Socio-Economic Impact of the Brumadinho Landslide: A Hybrid MCDM-ML Approach," Sustainability, MDPI, vol. 16(18), pages 1-32, September.
    22. Wanke, Peter & Pestana Barros, Carlos & Chen, Zhongfei, 2015. "An analysis of Asian airlines efficiency with two-stage TOPSIS and MCMC generalized linear mixed models," International Journal of Production Economics, Elsevier, vol. 169(C), pages 110-126.
    23. Jin-Wei Wang & Hua Liao & Bao-Jun Tang & Ruo-Yu Ke & Yi-Ming Wei, 2017. "Is the CO2 Emissions Reduction from Scale Change, Structural Change or Technology Change? Evidence from Non-metallic Sector of 11 Major Economies in 1995-2009," CEEP-BIT Working Papers 101, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
    24. Vafadarnikjoo, Amin & Tavana, Madjid & Chalvatzis, Konstantinos & Botelho, Tiago, 2022. "A socio-economic and environmental vulnerability assessment model with causal relationships in electric power supply chains," Socio-Economic Planning Sciences, Elsevier, vol. 80(C).

  48. Jing-Li Fan & Bao-Jun Tang & Hao Yu & Yun-Bing Hou & Yi-Ming Wei, 2014. "Impacts of socioeconomic factors on monthly electricity consumption of China's sectors," CEEP-BIT Working Papers 67, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.

    Cited by:

    1. Xinhui Lu & Kaile Zhou & Felix T. S. Chan & Shanlin Yang, 2017. "Optimal scheduling of household appliances for smart home energy management considering demand response," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 88(3), pages 1639-1653, September.
    2. Xiaowen Ding & Lin Liu & Guohe Huang & Ye Xu & Junhong Guo, 2019. "A Multi-Objective Optimization Model for a Non-Traditional Energy System in Beijing under Climate Change Conditions," Energies, MDPI, vol. 12(9), pages 1-21, May.
    3. Le Viet Phu, 2020. "Electricity price and residential electricity demand in Vietnam," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 22(4), pages 509-535, October.
    4. Nnaemeka Vincent Emodi & Taha Chaiechi & ABM Rabiul Alam Beg, 2018. "The impact of climate change on electricity demand in Australia," Energy & Environment, , vol. 29(7), pages 1263-1297, November.
    5. Shengnan Xing & Jindian Lu & Chengmei Zhang & Shuang Sun, 2019. "Does line loss broaden the deviation between the added value of industry and the industrial electricity consumption in China?," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 21(4), pages 1635-1648, August.
    6. Jin Zhu & Huaping Sun & Dequn Zhou & Lin Peng & Chuanwang Sun, 2020. "Carbon emission efficiency of thermal power in different regions of China and spatial correlations," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 25(7), pages 1221-1242, October.

  49. Ke Wang & Yi-Ming Wei, 2014. "China's regional industrial energy efficiency and carbon emissions abatement costs," CEEP-BIT Working Papers 64, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.

    Cited by:

    1. Wang, Ke & Yang, Kexin & Wei, Yi-Ming & Zhang, Chi, 2018. "Shadow prices of direct and overall carbon emissions in China’s construction industry: A parametric directional distance function-based sensitive estimation," Structural Change and Economic Dynamics, Elsevier, vol. 47(C), pages 180-193.
    2. Zhang, Chuanguo & Zhao, Wei, 2014. "Panel estimation for income inequality and CO2 emissions: A regional analysis in China," Applied Energy, Elsevier, vol. 136(C), pages 382-392.
    3. Song, Yao-yao & Li, Jing-jing & Wang, Jin-li & Yang, Guo-liang & Chen, Zhenling, 2022. "Eco-efficiency of Chinese transportation industry: A DEA approach with non-discretionary input," Socio-Economic Planning Sciences, Elsevier, vol. 84(C).
    4. Sueyoshi, Toshiyuki & Yuan, Yan & Goto, Mika, 2017. "A literature study for DEA applied to energy and environment," Energy Economics, Elsevier, vol. 62(C), pages 104-124.
    5. Toshiyuki Sueyoshi & Yan Yuan & Aijun Li & Daoping Wang, 2017. "Social Sustainability of Provinces in China: A Data Envelopment Analysis (DEA) Window Analysis under the Concepts of Natural and Managerial Disposability," Sustainability, MDPI, vol. 9(11), pages 1-18, November.
    6. Quande Qin & Xin Li & Li Li & Wei Zhen & Yi-Ming Wei, 2017. "Air emissions perspective on energy efficiency: An empirical analysis of China's coastal areas," CEEP-BIT Working Papers 98, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
    7. He, Weijun & Yang, Yi & Wang, Zhaohua & Zhu, Joe, 2018. "Estimation and allocation of cost savings from collaborative CO2 abatement in China," Energy Economics, Elsevier, vol. 72(C), pages 62-74.
    8. Yunfei An & Xunpeng Shi & Qunwei Wang & Jian Yu & Dequn Zhou & Xiaoyong Zhou, 2023. "China's manufacturing firms' willingness to pay for carbon abatement: A cost perspective," Business Strategy and the Environment, Wiley Blackwell, vol. 32(8), pages 5477-5486, December.
    9. Chen, Zhenling & Zhang, Xiaoling & Ni, Guohua, 2020. "Decomposing capacity utilization under carbon dioxide emissions reduction constraints in data envelopment analysis: An application to Chinese regions," Energy Policy, Elsevier, vol. 139(C).
    10. Hu, Hui & Xie, Nan & Fang, Debin & Zhang, Xiaoling, 2018. "The role of renewable energy consumption and commercial services trade in carbon dioxide reduction: Evidence from 25 developing countries," Applied Energy, Elsevier, vol. 211(C), pages 1229-1244.
    11. Meng, Fanyi & Su, Bin & Thomson, Elspeth & Zhou, Dequn & Zhou, P., 2016. "Measuring China’s regional energy and carbon emission efficiency with DEA models: A survey," Applied Energy, Elsevier, vol. 183(C), pages 1-21.
    12. Ying Li & Yung-ho Chiu & Tai-Yu Lin, 2019. "Energy and Environmental Efficiency in Different Chinese Regions," Sustainability, MDPI, vol. 11(4), pages 1-26, February.
    13. Zhang, Weijie & Zhang, Ning & Yu, Yanni, 2019. "Carbon mitigation effects and potential cost savings from carbon emissions trading in China's regional industry," Technological Forecasting and Social Change, Elsevier, vol. 141(C), pages 1-11.
    14. Zhi-Fu Mi & Yi-Ming Wei & Chen-Qi He & Hua-Nan Li & Xiao-Chen Yuan & Hua Liao, 2017. "Regional efforts to mitigate climate change in China: a multi-criteria assessment approach," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 22(1), pages 45-66, January.
    15. Ke-Liang Wang & Li-Li Ding & Jian-Min Wang & Mian Yang, 2020. "Analysis of provincial total-factor air pollution efficiency in China by using context-dependent slacks-based measure considering undesirable outputs," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 104(2), pages 1899-1921, November.
    16. Duman, Yavuz Selman & Kasman, Adnan, 2018. "Environmental technical efficiency in EU member and candidate countries: A parametric hyperbolic distance function approach," Energy, Elsevier, vol. 147(C), pages 297-307.
    17. Huayong Niu & Zhishuo Zhang & Manting Luo, 2022. "Evaluation and Prediction of Low-Carbon Economic Efficiency in China, Japan and South Korea: Based on DEA and Machine Learning," IJERPH, MDPI, vol. 19(19), pages 1-28, October.
    18. Xian, Yujiao & Yu, Dan & Wang, Ke & Yu, Jian & Huang, Zhimin, 2022. "Capturing the least costly measure of CO2 emission abatement: Evidence from the iron and steel industry in China," Energy Economics, Elsevier, vol. 106(C).
    19. Ma, Chunbo & Hailu, Atakelty & You, Chaoying, 2019. "A critical review of distance function based economic research on China’s marginal abatement cost of carbon dioxide emissions," Energy Economics, Elsevier, vol. 84(C).
    20. Ze Tian & Fang-Rong Ren & Qin-Wen Xiao & Yung-Ho Chiu & Tai-Yu Lin, 2019. "Cross-Regional Comparative Study on Carbon Emission Efficiency of China’s Yangtze River Economic Belt Based on the Meta-Frontier," IJERPH, MDPI, vol. 16(4), pages 1-19, February.
    21. Zhu, Weiwei & Zhu, Yaqin & Lin, Huaping & Yu, Yu, 2021. "Technology progress bias, industrial structure adjustment, and regional industrial economic growth motivation —— Research on regional industrial transformation and upgrading based on the effect of lea," Technological Forecasting and Social Change, Elsevier, vol. 170(C).
    22. Tengfei Huo & Hong Ren & Weiguang Cai & Wei Feng & Miaohan Tang & Nan Zhou, 2018. "The total-factor energy productivity growth of China’s construction industry: evidence from the regional level," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 92(3), pages 1593-1616, July.
    23. He, Yong & Liao, Nuo & Zhou, Ya, 2018. "Analysis on provincial industrial energy efficiency and its influencing factors in China based on DEA-RS-FANN," Energy, Elsevier, vol. 142(C), pages 79-89.
    24. Zhang, Yue-Jun & Liu, Zhao & Zhou, Si-Ming & Qin, Chang-Xiong & Zhang, Huan, 2018. "The impact of China's Central Rise Policy on carbon emissions at the stage of operation in road sector," Economic Modelling, Elsevier, vol. 71(C), pages 159-173.
    25. Yanni Yu & Weijie Zhang & Ning Zhang, 2018. "The Potential Gains from Carbon Emissions Trading in China’s Industrial Sectors," Computational Economics, Springer;Society for Computational Economics, vol. 52(4), pages 1175-1194, December.
    26. Ke Wang & Yi-Ming Wei & Zhimin Huang, 2015. "Potential gains from carbon emissions trading in China: A DEA based estimation on abatement cost savings," CEEP-BIT Working Papers 84, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
    27. Yao, Xin & Guo, Chengwen & Shao, Shuai & Jiang, Zhujun, 2016. "Total-factor CO2 emission performance of China’s provincial industrial sector: A meta-frontier non-radial Malmquist index approach," Applied Energy, Elsevier, vol. 184(C), pages 1142-1153.
    28. He, Yong & Liao, Nuo & Lin, Kunrong, 2021. "Can China's industrial sector achieve energy conservation and emission reduction goals dominated by energy efficiency enhancement? A multi-objective optimization approach," Energy Policy, Elsevier, vol. 149(C).
    29. Ying Li & Yung-Ho Chiu & Liang Chun Lu, 2018. "Regional Energy, CO 2 , and Economic and Air Quality Index Performances in China: A Meta-Frontier Approach," Energies, MDPI, vol. 11(8), pages 1-20, August.
    30. Li, Jianglong & Lin, Boqiang, 2017. "Ecological total-factor energy efficiency of China's heavy and light industries: Which performs better?," Renewable and Sustainable Energy Reviews, Elsevier, vol. 72(C), pages 83-94.
    31. Kejia Yang & Yalin Lei, 2017. "The carbon dioxide marginal abatement cost calculation of Chinese provinces based on stochastic frontier analysis," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 85(1), pages 505-521, January.
    32. Guo, Ran & Yuan, Yijun, 2020. "Different types of environmental regulations and heterogeneous influence on energy efficiency in the industrial sector: Evidence from Chinese provincial data," Energy Policy, Elsevier, vol. 145(C).
    33. Liangpeng Wu & Qingyuan Zhu, 2021. "Impacts of the carbon emission trading system on China’s carbon emission peak: a new data-driven approach," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 107(3), pages 2487-2515, July.
    34. Liao, Nuo & He, Yong, 2018. "Exploring the effects of influencing factors on energy efficiency in industrial sector using cluster analysis and panel regression model," Energy, Elsevier, vol. 158(C), pages 782-795.
    35. Gao, Cuixia & Sun, Mei & Shen, Bo & Li, Ranran & Tian, Lixin, 2014. "Optimization of China's energy structure based on portfolio theory," Energy, Elsevier, vol. 77(C), pages 890-897.
    36. Yu, Shiwei & Agbemabiese, Lawrence & Zhang, Junjie, 2016. "Estimating the carbon abatement potential of economic sectors in China," Applied Energy, Elsevier, vol. 165(C), pages 107-118.
    37. Linlin Zhao & Lin Zhang & Yong Zha, 2019. "Industrial Efficiency Evaluation in China: A Nonparametric Production-Frontier Approach," Sustainability, MDPI, vol. 11(18), pages 1-23, September.
    38. Song, Yi & Huang, Jian-Bai & Feng, Chao, 2018. "Decomposition of energy-related CO2 emissions in China's iron and steel industry: A comprehensive decomposition framework," Resources Policy, Elsevier, vol. 59(C), pages 103-116.
    39. Sueyoshi, Toshiyuki & Goto, Mika, 2018. "Resource utilization for sustainability enhancement in Japanese industries," Applied Energy, Elsevier, vol. 228(C), pages 2308-2320.
    40. Du, Huibin & Matisoff, Daniel C. & Wang, Yangyang & Liu, Xi, 2016. "Understanding drivers of energy efficiency changes in China," Applied Energy, Elsevier, vol. 184(C), pages 1196-1206.
    41. Zhihai Yang & Dong Wang & Tianyi Du & Anlu Zhang & Yixiao Zhou, 2018. "Total-Factor Energy Efficiency in China’s Agricultural Sector: Trends, Disparities and Potentials," Energies, MDPI, vol. 11(4), pages 1-16, April.
    42. Qingwei Shi & Hong Ren & Weiguang Cai & Jingxin Gao, 2020. "How to Set the Proper CO 2 Reduction Targets for the Provincial Building Sector of China?," Sustainability, MDPI, vol. 12(24), pages 1-22, December.
    43. Mardani, Abbas & Zavadskas, Edmundas Kazimieras & Streimikiene, Dalia & Jusoh, Ahmad & Khoshnoudi, Masoumeh, 2017. "A comprehensive review of data envelopment analysis (DEA) approach in energy efficiency," Renewable and Sustainable Energy Reviews, Elsevier, vol. 70(C), pages 1298-1322.
    44. Ke Wang & Zhifu Mi & Yi-Ming Wei, 2018. "Will pollution taxes improve joint ecological and economic efficiency of thermal power industry in China? A DEA based materials balance approach," CEEP-BIT Working Papers 114, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
    45. Wang, Qunwei & Su, Bin & Sun, Jiasen & Zhou, Peng & Zhou, Dequn, 2015. "Measurement and decomposition of energy-saving and emissions reduction performance in Chinese cities," Applied Energy, Elsevier, vol. 151(C), pages 85-92.
    46. Li, Ding & Gao, Ming & Hou, Wenxuan & Song, Malin & Chen, Jiandong, 2020. "A modified and improved method to measure economy-wide carbon rebound effects based on the PDA-MMI approach," Energy Policy, Elsevier, vol. 147(C).
    47. Lu, Shibao & Wang, Jianhua & Shang, Yizi & Bao, Haijun & Chen, Huixiong, 2017. "Potential assessment of optimizing energy structure in the city of carbon intensity target," Applied Energy, Elsevier, vol. 194(C), pages 765-773.
    48. Long, Ruyin & Shao, Tianxiang & Chen, Hong, 2016. "Spatial econometric analysis of China’s province-level industrial carbon productivity and its influencing factors," Applied Energy, Elsevier, vol. 166(C), pages 210-219.
    49. Qunli Wu & Shuting Gu, 2021. "Exploring the focus of future CO2 emission reduction in China's industrial sectors," Greenhouse Gases: Science and Technology, Blackwell Publishing, vol. 11(4), pages 682-696, August.
    50. Wang, Jian & Lv, Kangjuan & Bian, Yiwen & Cheng, Yu, 2017. "Energy efficiency and marginal carbon dioxide emission abatement cost in urban China," Energy Policy, Elsevier, vol. 105(C), pages 246-255.
    51. Wang, Ke & Wei, Yi-Ming, 2016. "Sources of energy productivity change in China during 1997–2012: A decomposition analysis based on the Luenberger productivity indicator," Energy Economics, Elsevier, vol. 54(C), pages 50-59.
    52. Xu, Lei & Chen, Nengcheng & Chen, Zeqiang, 2017. "Will China make a difference in its carbon intensity reduction targets by 2020 and 2030?," Applied Energy, Elsevier, vol. 203(C), pages 874-882.
    53. Jinchao Li & Yuwei Xiang & Huanyu Jia & Lin Chen, 2018. "Analysis of Total Factor Energy Efficiency and Its Influencing Factors on Key Energy-Intensive Industries in the Beijing-Tianjin-Hebei Region," Sustainability, MDPI, vol. 10(1), pages 1-17, January.
    54. Boussemart, Jean Philippe & Leleu, Hervé & Shen, Zhiyang, 2015. "Environmental growth convergence among Chinese regions," China Economic Review, Elsevier, vol. 34(C), pages 1-18.
    55. Paul Mugambi & Miguel Blanco & Daniel Ogachi & Marcos Ferasso & Lydia Bares, 2021. "Analysis of the Regional Efficiency of European Funds in Spain from the Perspective of Renewable Energy Production: The Regional Dimension," IJERPH, MDPI, vol. 18(9), pages 1-16, April.
    56. Wang, Ning & Li, Heng & Liu, Gengyuan & Meng, Fanxin & Shan, Shaolei & Wang, Zongshui, 2018. "Developing a more comprehensive energy efficiency index for coal production: Indicators, methods and case study," Energy, Elsevier, vol. 162(C), pages 944-952.
    57. Du, Kerui & Lin, Boqiang, 2017. "International comparison of total-factor energy productivity growth: A parametric Malmquist index approach," Energy, Elsevier, vol. 118(C), pages 481-488.
    58. Yao, Xin & Zhou, Hongchen & Zhang, Aizhen & Li, Aijun, 2015. "Regional energy efficiency, carbon emission performance and technology gaps in China: A meta-frontier non-radial directional distance function analysis," Energy Policy, Elsevier, vol. 84(C), pages 142-154.
    59. Feng, Chao & Zhang, Hua & Huang, Jian-Bai, 2017. "The approach to realizing the potential of emissions reduction in China: An implication from data envelopment analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 71(C), pages 859-872.
    60. Zhi Li & Ruyi Yan & Zuo Zhang & Yue Sun & Xiaogang Zhang, 2021. "The Effects of City-County Mergers on Urban Energy Intensity: Empirical Evidence from Chinese Cities," IJERPH, MDPI, vol. 18(16), pages 1-24, August.
    61. Xiaohua Song & Caiping Zhao & Jingjing Han & Qi Zhang & Jinpeng Liu & Yuanying Chi, 2020. "Measurement and Influencing Factors Research of the Energy and Power Efficiency in China: Based on the Supply-Side Structural Reform Perspective," Sustainability, MDPI, vol. 12(9), pages 1-23, May.
    62. Yu, Dejian & He, Xiaorong, 2020. "A bibliometric study for DEA applied to energy efficiency: Trends and future challenges," Applied Energy, Elsevier, vol. 268(C).
    63. P. Zhou & F. Wu & D. Q. Zhou, 2017. "Total-factor energy efficiency with congestion," Annals of Operations Research, Springer, vol. 255(1), pages 241-256, August.
    64. Zhang, Xiaofeng & Chen, Xinnan & Fang, Zheng & Zhu, Yujuan & Liang, Jiabo, 2022. "Investment in energy resources, natural resources and environment: Evidence from China," Resources Policy, Elsevier, vol. 76(C).
    65. Yu Hao & Jingwen Huang & Yunxia Guo & Haitao Wu & Siyu Ren, 2022. "Does the legacy of state planning put pressure on ecological efficiency? Evidence from China," Business Strategy and the Environment, Wiley Blackwell, vol. 31(7), pages 3100-3121, November.
    66. Yiwen Bian & Kangjuan Lv & Anyu Yu, 2017. "China’s regional energy and carbon dioxide emissions efficiency evaluation with the presence of recovery energy: an interval slacks-based measure approach," Annals of Operations Research, Springer, vol. 255(1), pages 301-321, August.
    67. Ning Zhang & Weijie Zhang, 2020. "Can sustainable operations achieve economic benefit and energy saving for manufacturing industries in China?," Annals of Operations Research, Springer, vol. 290(1), pages 145-168, July.
    68. Tianbo Tang & Jianxin You & Hui Sun & Hao Zhang, 2019. "Transportation Efficiency Evaluation Considering the Environmental Impact for China’s Freight Sector: A Parallel Data Envelopment Analysis," Sustainability, MDPI, vol. 11(18), pages 1-24, September.
    69. Yue-Jun Zhang & Jun-Fang Hao, 2015. "The allocation of carbon emission intensity reduction target by 2020 among provinces in China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 79(2), pages 921-937, November.
    70. Yongrok Choi & Chao Qi, 2019. "Is South Korea’s Emission Trading Scheme Effective? An Analysis Based on the Marginal Abatement Cost of Coal-Fueled Power Plants," Sustainability, MDPI, vol. 11(9), pages 1-12, April.
    71. Molinos-Senante, María & Guzmán, Catalina, 2018. "Reducing CO2 emissions from drinking water treatment plants: A shadow price approach," Applied Energy, Elsevier, vol. 210(C), pages 623-631.
    72. Wu, Jie & Zhu, Qingyuan & Liang, Liang, 2016. "CO2 emissions and energy intensity reduction allocation over provincial industrial sectors in China," Applied Energy, Elsevier, vol. 166(C), pages 282-291.
    73. Zhang, Lin & Zhao, Linlin & Zha, Yong, 2021. "Efficiency evaluation of Chinese regional industrial systems using a dynamic two-stage DEA approach," Socio-Economic Planning Sciences, Elsevier, vol. 77(C).
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    75. Chang-Jing Ji & Xiao-Yi Li & Yu-Jie Hu & Xiang-Yu Wang & Bao-Jun Tang, 2019. "Research on carbon price in emissions trading scheme: a bibliometric analysis," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 99(3), pages 1381-1396, December.
    76. Shi, Kaifang & Chen, Yun & Li, Linyi & Huang, Chang, 2018. "Spatiotemporal variations of urban CO2 emissions in China: A multiscale perspective," Applied Energy, Elsevier, vol. 211(C), pages 218-229.
    77. Liang Chun Lu & Yung-ho Chiu & Shih-Yung Chiu & Tzu-Han Chang, 2022. "Do Forests help environmental development of Cities in China?," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(5), pages 6602-6629, May.
    78. Chen, Jiandong & Gao, Ming & Mangla, Sachin Kumar & Song, Malin & Wen, Jie, 2020. "Effects of technological changes on China's carbon emissions," Technological Forecasting and Social Change, Elsevier, vol. 153(C).
    79. Zhigang Pei & Jiaming Chen & Jun Fang & Jiangpeng Fan & Zhilan Gong & Qingying Zheng, 2023. "The Impact of “Dual-Control” Regulations on the Green Total Factor Efficiency of Shaoxing’s Industrial Sector," Sustainability, MDPI, vol. 15(2), pages 1-21, January.
    80. Feng, Chao & Wang, Miao & Liu, Guan-Chun & Huang, Jian-Bai, 2017. "Sources of economic growth in China from 2000–2013 and its further sustainable growth path: A three-hierarchy meta-frontier data envelopment analysis," Economic Modelling, Elsevier, vol. 64(C), pages 334-348.
    81. Yang Lin & Longzhong Yan & Ying-Ming Wang, 2019. "Performance Evaluation and Investment Analysis for Container Port Sustainable Development in China: An Inverse DEA Approach," Sustainability, MDPI, vol. 11(17), pages 1-13, August.
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    90. Lei Wang & Wei Li & Guomin Li & Guozhen Zhang, 2021. "Concept Evolution and Multi-Dimensional Measurement Comparison of Urban Energy Performance from the Perspective of System Correlation: Empirical Analysis of 142 Prefecture Level Cities in China," IJERPH, MDPI, vol. 18(24), pages 1-21, December.
    91. Aizhen Zhang & Aijun Li & Yaping Gao, 2018. "Social Sustainability Assessment across Provinces in China: An Analysis of Combining Intermediate Approach with Data Envelopment Analysis (DEA) Window Analysis," Sustainability, MDPI, vol. 10(3), pages 1-24, March.
    92. Ming Meng & Yanan Fu & Tianyu Wang & Kaiqiang Jing, 2017. "Analysis of Low-Carbon Economy Efficiency of Chinese Industrial Sectors Based on a RAM Model with Undesirable Outputs," Sustainability, MDPI, vol. 9(3), pages 1-18, March.
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    114. Jie Zhang & Zhencheng Xing & Jigan Wang, 2016. "Analysis of CO 2 Emission Performance and Abatement Potential for Municipal Industrial Sectors in Jiangsu, China," Sustainability, MDPI, vol. 8(7), pages 1-15, July.
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    116. Chao-Qun Ma & Jiang-Long Liu & Yi-Shuai Ren & Yong Jiang, 2019. "The Impact of Economic Growth, FDI and Energy Intensity on China’s Manufacturing Industry’s CO 2 Emissions: An Empirical Study Based on the Fixed-Effect Panel Quantile Regression Model," Energies, MDPI, vol. 12(24), pages 1-16, December.
    117. Sala-Garrido, Ramon & Mocholi-Arce, Manuel & Molinos-Senante, Maria & Maziotis, Alexandros, 2021. "Assessing the marginal cost of reducing greenhouse gas emissions in the English and Welsh water and sewerage industry: A parametric approach," Utilities Policy, Elsevier, vol. 70(C).
    118. Yabo Zhao & Ruiyang Chen & Tong Sun & Ying Yang & Shifa Ma & Dixiang Xie & Xiwen Zhang & Yunnan Cai, 2022. "Urbanization Influences CO 2 Emissions in the Pearl River Delta: A Perspective of the “Space of Flows”," Land, MDPI, vol. 11(8), pages 1-21, August.
    119. Zhou, D.Q. & Wang, Qunwei & Su, B. & Zhou, P. & Yao, L.X., 2016. "Industrial energy conservation and emission reduction performance in China: A city-level nonparametric analysis," Applied Energy, Elsevier, vol. 166(C), pages 201-209.
    120. Song, Chenxi & Li, Mingjia & Wen, Zhexi & He, Ya-Ling & Tao, Wen-Quan & Li, Yangzhe & Wei, Xiangyang & Yin, Xiaolan & Huang, Xing, 2014. "Research on energy efficiency evaluation based on indicators for industry sectors in China," Applied Energy, Elsevier, vol. 134(C), pages 550-562.
    121. Fang Guo & Tao Zhao & Yanan Wang & Yue Wang, 2016. "Estimating the abatement potential of provincial carbon intensity based on the environmental learning curve model in China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 84(1), pages 685-705, October.
    122. Cui, Qiang & Li, Ye, 2015. "An empirical study on the influencing factors of transportation carbon efficiency: Evidences from fifteen countries," Applied Energy, Elsevier, vol. 141(C), pages 209-217.
    123. Shih-Heng Yu & Yu Gao & Yih-Chearng Shiue, 2017. "A Comprehensive Evaluation of Sustainable Development Ability and Pathway for Major Cities in China," Sustainability, MDPI, vol. 9(8), pages 1-15, August.
    124. Yu, Anyu & You, Jianxin & Rudkin, Simon & Zhang, Hao, 2019. "Industrial carbon abatement allocations and regional collaboration: Re-evaluating China through a modified data envelopment analysis," Applied Energy, Elsevier, vol. 233, pages 232-243.
    125. He, Yong & Fu, Feifei & Liao, Nuo, 2021. "Exploring the path of carbon emissions reduction in China’s industrial sector through energy efficiency enhancement induced by R&D investment," Energy, Elsevier, vol. 225(C).
    126. Emrouznejad, Ali & Yang, Guo-liang, 2016. "CO2 emissions reduction of Chinese light manufacturing industries: A novel RAM-based global Malmquist–Luenberger productivity index," Energy Policy, Elsevier, vol. 96(C), pages 397-410.
    127. Ying Li & Yung-ho Chiu & Tai-Yu Lin, 2019. "The Impact of Economic Growth and Air Pollution on Public Health in 31 Chinese Cities," IJERPH, MDPI, vol. 16(3), pages 1-26, January.
    128. Ke Wang & Yujiao Xian & Yi-Ming Wei & Zhimin Huang, 2016. "Sources of carbon productivity change: A decomposition and disaggregation analysis based on global Luenberger productivity indicator and endogenous directional distance function," CEEP-BIT Working Papers 91, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
    129. Wen, Quan & Hong, Jingke & Liu, Guiwen & Xu, Pengpeng & Tang, Miaohan & Li, Zhongfu, 2020. "Regional efficiency disparities in China’s construction sector: A combination of multiregional input–output and data envelopment analyses," Applied Energy, Elsevier, vol. 257(C).
    130. Shi, Kaifang & Chen, Yun & Yu, Bailang & Xu, Tingbao & Chen, Zuoqi & Liu, Rui & Li, Linyi & Wu, Jianping, 2016. "Modeling spatiotemporal CO2 (carbon dioxide) emission dynamics in China from DMSP-OLS nighttime stable light data using panel data analysis," Applied Energy, Elsevier, vol. 168(C), pages 523-533.
    131. Yang, Guo-liang & Fukuyama, Hirofumi & Song, Yao-yao, 2019. "Estimating capacity utilization of Chinese manufacturing industries," Socio-Economic Planning Sciences, Elsevier, vol. 67(C), pages 94-110.
    132. Wang, Zhaohua & Song, Yanwu & Shen, Zhiyang, 2022. "Global sustainability of carbon shadow pricing: The distance between observed and optimal abatement costs," Energy Economics, Elsevier, vol. 110(C).
    133. Jianjian He & Pengyan Zhang, 2018. "Evaluating the Coordination of Industrial-Economic Development Based on Anthropogenic Carbon Emissions in Henan Province, China," IJERPH, MDPI, vol. 15(9), pages 1-19, August.
    134. Jie Wu & Beibei Xiong & Qingxian An & Jiasen Sun & Huaqing Wu, 2017. "Total-factor energy efficiency evaluation of Chinese industry by using two-stage DEA model with shared inputs," Annals of Operations Research, Springer, vol. 255(1), pages 257-276, August.
    135. Liao, Hua & Du, Yun-Fei & Huang, Zhimin & Wei, Yi-Ming, 2016. "Measuring energy economic efficiency: A mathematical programming approach," Applied Energy, Elsevier, vol. 179(C), pages 479-487.
    136. Ying Li & Yung-ho Chiu & Liang Chun Lu, 2019. "New Energy Development and Pollution Emissions in China," IJERPH, MDPI, vol. 16(10), pages 1-24, May.
    137. Zhou, Haibo & Yang, Yi & Chen, Yao & Zhu, Joe, 2018. "Data envelopment analysis application in sustainability: The origins, development and future directions," European Journal of Operational Research, Elsevier, vol. 264(1), pages 1-16.
    138. Huo, Weidong & Qi, Jie & Yang, Tong & Liu, Jialu & Liu, Miaomiao & Zhou, Ziqi, 2022. "Effects of China's pilot low-carbon city policy on carbon emission reduction: A quasi-natural experiment based on satellite data," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
    139. Zhang, Yue-Jun & Liu, Jing-Yue & Su, Bin, 2020. "Carbon congestion effects in China's industry: Evidence from provincial and sectoral levels," Energy Economics, Elsevier, vol. 86(C).
    140. Marcos Ferasso & Miguel Blanco & Lydia Bares, 2021. "A Data Envelopment Analysis of the Impact of European Funds on Environmental Indicators," IJERPH, MDPI, vol. 18(6), pages 1-15, March.
    141. Liu, Zhao & Zhang, Huan & Zhang, Yue-Jun & Zhu, Tian-Tian, 2020. "How does industrial policy affect the eco-efficiency of industrial sector? Evidence from China," Applied Energy, Elsevier, vol. 272(C).
    142. Xiaochun Zhao & Huixin Xu & Qun Sun, 2022. "Research on China’s Carbon Emission Efficiency and Its Regional Differences," Sustainability, MDPI, vol. 14(15), pages 1-14, August.
    143. Na Wang & Yongrok Choi, 2019. "Comparative Analysis of the Energy and CO 2 Emissions Performance and Technology Gaps in the Agglomerated Cities of China and South Korea," Sustainability, MDPI, vol. 11(2), pages 1-25, January.
    144. Yuan, Jun & Ng, Szu Hui, 2017. "Emission reduction measures ranking under uncertainty," Applied Energy, Elsevier, vol. 188(C), pages 270-279.
    145. Dong, Di & An, Haizhong & Huang, Shupei, 2017. "The transfer of embodied carbon in copper international trade: An industry chain perspective," Resources Policy, Elsevier, vol. 52(C), pages 173-180.
    146. Ke Wang & Linan Che & Chunbo Ma & Yi-Ming Wei, 2017. "The Shadow Price of CO2 Emissions in China's Iron and Steel Industry," CEEP-BIT Working Papers 105, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
    147. Wang, Juan & Li, Ziming & Wang, Yanan, 2024. "How does China's energy-consumption trading policy affect the carbon abatement costs? An analysis based on spatial difference-in-differences method," Energy, Elsevier, vol. 294(C).
    148. Li, Ke & Lin, Boqiang, 2016. "Impact of energy conservation policies on the green productivity in China’s manufacturing sector: Evidence from a three-stage DEA model," Applied Energy, Elsevier, vol. 168(C), pages 351-363.
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    150. Feng Wang & Mengnan Gao & Juan Liu & Wenna Fan, 2018. "The Spatial Network Structure of China’s Regional Carbon Emissions and Its Network Effect," Energies, MDPI, vol. 11(10), pages 1-14, October.
    151. Cheng, Zhonghua & Li, Lianshui & Liu, Jun & Zhang, Huiming, 2018. "Total-factor carbon emission efficiency of China's provincial industrial sector and its dynamic evolution," Renewable and Sustainable Energy Reviews, Elsevier, vol. 94(C), pages 330-339.
    152. Kai He & Nan Zhu & Wu Jiang & Chuanjin Zhu, 2022. "Efficiency Evaluation of Chinese Provincial Industrial System Based on Network DEA Method," Sustainability, MDPI, vol. 14(9), pages 1-24, April.
    153. Hongxu Guo & Zihan Xie & Rong Wu, 2021. "Evaluating Green Innovation Efficiency and Its Socioeconomic Factors Using a Slack-Based Measure with Environmental Undesirable Outputs," IJERPH, MDPI, vol. 18(24), pages 1-20, December.
    154. Di Peng & Haibin Liu, 2023. "Marginal Carbon Dioxide Emission Reduction Cost and Influencing Factors in Chinese Industry Based on Bayes Bootstrap," Sustainability, MDPI, vol. 15(11), pages 1-19, May.
    155. Tang, Kai & Yang, Lin & Zhang, Jianwu, 2016. "Estimating the regional total factor efficiency and pollutants’ marginal abatement costs in China: A parametric approach," Applied Energy, Elsevier, vol. 184(C), pages 230-240.
    156. Zhang, Dongyang, 2021. "Marketization, environmental regulation, and eco-friendly productivity: A Malmquist–Luenberger index for pollution emissions of large Chinese firms," Journal of Asian Economics, Elsevier, vol. 76(C).
    157. Fang Zhang & Hong Fang & Junjie Wu & Damian Ward, 2016. "Environmental Efficiency Analysis of Listed Cement Enterprises in China," Sustainability, MDPI, vol. 8(5), pages 1-19, May.
    158. Nakaishi, Tomoaki, 2021. "Developing effective CO2 and SO2 mitigation strategy based on marginal abatement costs of coal-fired power plants in China," Applied Energy, Elsevier, vol. 294(C).

  50. Zhi-Fu Mi & Yi-Ming Wei & Chen-Qi He & Hua-Nan Li & Xiao-Chen Yuan & Hua Liao, 2014. "Regional efforts to mitigate climate change in China: A multi-criteria assessment approach," CEEP-BIT Working Papers 77, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.

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    1. Dongxu Chen & Xiaoying Chang & Tao Hong & Tao Ma, 2023. "Domestic Regional Synergy in Achieving National Climate Goals—The Role of Comparative Advantage in Emission Reduction," Land, MDPI, vol. 12(9), pages 1-23, September.
    2. Huang, Jian-Bai & Luo, Yu-Mei & Feng, Chao, 2019. "An overview of carbon dioxide emissions from China's ferrous metal industry: 1991-2030," Resources Policy, Elsevier, vol. 62(C), pages 541-549.
    3. Zhang, Wei & Wang, Nan, 2021. "Decomposition of energy intensity in Chinese industries using an extended LMDI method of production element endowment," Energy, Elsevier, vol. 221(C).
    4. Bing Wang & Hua-Nan Li & Xiao-Chen Yuan & Zhen-Ming Sun, 2017. "Energy Poverty in China: A Dynamic Analysis Based on a Hybrid Panel Data Decision Model," Energies, MDPI, vol. 10(12), pages 1-14, November.
    5. Kang, Jia-Ning & Wei, Yi-Ming & Liu, Lan-Cui & Han, Rong & Yu, Bi-Ying & Wang, Jin-Wei, 2020. "Energy systems for climate change mitigation: A systematic review," Applied Energy, Elsevier, vol. 263(C).
    6. Li, Kai & Qi, Shouzhou & Shi, Xunpeng, 2023. "Environmental policies and low-carbon industrial upgrading: Heterogenous effects among policies, sectors, and technologies in China," Technological Forecasting and Social Change, Elsevier, vol. 191(C).
    7. Qunli Wu & Chenyang Peng, 2016. "Scenario Analysis of Carbon Emissions of China’s Electric Power Industry Up to 2030," Energies, MDPI, vol. 9(12), pages 1-18, November.
    8. Sun, Jiasen & Li, Guo & Wang, Zhaohua, 2018. "Optimizing China’s energy consumption structure under energy and carbon constraints," Structural Change and Economic Dynamics, Elsevier, vol. 47(C), pages 57-72.
    9. Franciely Velozo Aragão & Daiane Maria de Genaro Chiroli & Fernanda Cavicchioli Zola & Emanuely Velozo Aragão & Luis Henrique Nogueira Marinho & Ana Lidia Cascales Correa & João Carlos Colmenero, 2023. "Smart Cities Maturity Model—A Multicriteria Approach," Sustainability, MDPI, vol. 15(8), pages 1-20, April.
    10. Xinlin Zhang & Yuan Zhao & Qi Sun & Changjian Wang, 2017. "Decomposition and Attribution Analysis of Industrial Carbon Intensity Changes in Xinjiang, China," Sustainability, MDPI, vol. 9(3), pages 1-16, March.
    11. Boqiang Lin & Weisheng Liu, 2017. "Scenario Prediction of Energy Consumption and CO 2 Emissions in China’s Machinery Industry," Sustainability, MDPI, vol. 9(1), pages 1-18, January.
    12. Chen, Hao & Tang, Bao-Jun & Liao, Hua & Wei, Yi-Ming, 2016. "A multi-period power generation planning model incorporating the non-carbon external costs: A case study of China," Applied Energy, Elsevier, vol. 183(C), pages 1333-1345.
    13. Xin Li & Xiandan Cui & Minxi Wang, 2017. "Analysis of China’s Carbon Emissions Base on Carbon Flow in Four Main Sectors: 2000–2013," Sustainability, MDPI, vol. 9(4), pages 1-13, April.
    14. Da Huang & Mei Han, 2021. "Research on Evaluation Method of Freight Transportation Environmental Sustainability," Sustainability, MDPI, vol. 13(5), pages 1-13, March.
    15. Elia A Machado & Samuel Ratick, 2018. "Implications of indicator aggregation methods for global change vulnerability reduction efforts," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 23(7), pages 1109-1141, October.
    16. Mi, Zhifu & Zheng, Jiali & Meng, Jing & Zheng, Heran & Li, Xian & Coffman, D'Maris & Woltjer, Johan & Wang, Shouyang & Guan, Dabo, 2019. "Carbon emissions of cities from a consumption-based perspective," Applied Energy, Elsevier, vol. 235(C), pages 509-518.
    17. Li Chen & Bin Jiang & Chuan Wang, 2023. "Climate change and urban total factor productivity: evidence from capital cities and municipalities in China," Empirical Economics, Springer, vol. 65(1), pages 401-441, July.
    18. Zhi-Fu Mi & Yi-Ming Wei & Bing Wang & Jing Meng & Zhu Liu & Yuli Shan & Jingru Liu & Dabo Guan, 2017. "Socioeconomic impact assessment of China's CO2 emissions peak prior to 2030," CEEP-BIT Working Papers 103, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
    19. Jing-Li Fan & Jian-Da Wang & Ling-Si Kong & Xian Zhang, 2018. "The carbon footprints of secondary industry in China: an input–output subsystem analysis," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 91(2), pages 635-657, March.
    20. Wang, Miao & Feng, Chao, 2018. "Using an extended logarithmic mean Divisia index approach to assess the roles of economic factors on industrial CO2 emissions of China," Energy Economics, Elsevier, vol. 76(C), pages 101-114.
    21. Jin-Wei Wang & Hua Liao & Bao-Jun Tang & Ruo-Yu Ke & Yi-Ming Wei, 2017. "Is the CO2 Emissions Reduction from Scale Change, Structural Change or Technology Change? Evidence from Non-metallic Sector of 11 Major Economies in 1995-2009," CEEP-BIT Working Papers 101, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.

  51. Ce Wang & Hua Liao & Su-Yan Pan & Lu-Tao Zhao & Yi-Ming Wei, 2014. "The fluctuations of China's energy intensity: Biased technical change," CEEP-BIT Working Papers 56, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.

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    1. Zhang, Dayong & Li, Jun & Ji, Qiang, 2020. "Does better access to credit help reduce energy intensity in China? Evidence from manufacturing firms," Energy Policy, Elsevier, vol. 145(C).
    2. Song, Yan & Zhu, Jing & Yue, Qian & Zhang, Ming & Wang, Longke, 2023. "Industrial agglomeration, technological innovation and air pollution: Empirical evidence from 277 prefecture-level cities in China," Structural Change and Economic Dynamics, Elsevier, vol. 66(C), pages 240-252.
    3. Jin, Yi & Gao, Xiaoyan & Wang, Min, 2021. "The financing efficiency of listed energy conservation and environmental protection firms: Evidence and implications for green finance in China," Energy Policy, Elsevier, vol. 153(C).
    4. Huang, Jian-Bai & Luo, Yu-Mei & Feng, Chao, 2019. "An overview of carbon dioxide emissions from China's ferrous metal industry: 1991-2030," Resources Policy, Elsevier, vol. 62(C), pages 541-549.
    5. Chen, Yu & Lin, Boqiang, 2021. "Understanding the green total factor energy efficiency gap between regional manufacturing—insight from infrastructure development," Energy, Elsevier, vol. 237(C).
    6. Zhou, Yang & Liu, Yansui, 2016. "Does population have a larger impact on carbon dioxide emissions than income? Evidence from a cross-regional panel analysis in China," Applied Energy, Elsevier, vol. 180(C), pages 800-809.
    7. Zhang, Wei & Zhang, Ting & Li, Hangyu & Zhang, Han, 2022. "Dynamic spillover capacity of R&D and digital investments in China's manufacturing industry under long-term technological progress based on the industry chain perspective," Technology in Society, Elsevier, vol. 71(C).
    8. Li, Meng & Gao, Yuning & Liu, Shenglong, 2020. "China’s energy intensity change in 1997–2015: Non-vertical adjusted structural decomposition analysis based on input-output tables," Structural Change and Economic Dynamics, Elsevier, vol. 53(C), pages 222-236.
    9. Azlina Abdullah & Hussain Ali Bekhet, 2019. "Investigating the Driving Forces of Energy Intensity Change in Malaysia 1991-2010: A Structural Decomposition Analysis," International Journal of Energy Economics and Policy, Econjournals, vol. 9(4), pages 121-130.
    10. Yan, Junna & Su, Bin, 2020. "What drive the changes in China's energy consumption and intensity during 12th Five-Year Plan period?," Energy Policy, Elsevier, vol. 140(C).
    11. Zha, Donglan & Kavuri, Anil Savio & Si, Songjian, 2018. "Energy-biased technical change in the Chinese industrial sector with CES production functions," Energy, Elsevier, vol. 148(C), pages 896-903.
    12. Ai, Hongshan & Wang, Mengyuan & Zhang, Yue-Jun & Zhu, Tian-Tian, 2022. "How does air pollution affect urban innovation capability? Evidence from 281 cities in China," Structural Change and Economic Dynamics, Elsevier, vol. 61(C), pages 166-178.
    13. Yan, Huijie, 2015. "Provincial energy intensity in China: The role of urbanization," Energy Policy, Elsevier, vol. 86(C), pages 635-650.
    14. Chao Bi & Minna Jia & Jingjing Zeng, 2019. "Nonlinear Effect of Public Infrastructure on Energy Intensity in China: A Panel Smooth Transition Regression Approach," Sustainability, MDPI, vol. 11(3), pages 1-21, January.
    15. Zha, Donglan & Kavuri, Anil Savio & Si, Songjian, 2017. "Energy biased technology change: Focused on Chinese energy-intensive industries," Applied Energy, Elsevier, vol. 190(C), pages 1081-1089.
    16. Zhang, Dayong & Cao, Hong & Wei, Yi-Ming, 2016. "Identifying the determinants of energy intensity in China: A Bayesian averaging approach," Applied Energy, Elsevier, vol. 168(C), pages 672-682.

  52. Ke Wang & Ya-Xuan Wang & Kang Li & Yi-Ming Wei, 2014. "Energy poverty in China: An index based comprehensive evaluation," CEEP-BIT Working Papers 74, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.

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    1. Huang, Yatao & Jiao, Wenxian & Wang, Kang & Li, Erling & Yan, Yutong & Chen, Jingyang & Guo, Xuanxuan, 2022. "Examining the multidimensional energy poverty trap and its determinants: An empirical analysis at household and community levels in six provinces of China," Energy Policy, Elsevier, vol. 169(C).
    2. Li, Yunwei & Ning, Xiao & Wang, Zijie & Cheng, Jingyu & Li, Fumeng & Hao, Yu, 2022. "Would energy poverty affect the wellbeing of senior citizens? Evidence from China," Ecological Economics, Elsevier, vol. 200(C).
    3. Dong, Kangyin & Dou, Yue & Jiang, Qingzhe, 2022. "Income inequality, energy poverty, and energy efficiency: Who cause who and how?," Technological Forecasting and Social Change, Elsevier, vol. 179(C).
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    33. Ngarava, Saul & Zhou, Leocadia & Ningi, Thulani & Chari, Martin M. & Mdiya, Lwandiso, 2022. "Gender and ethnic disparities in energy poverty: The case of South Africa," Energy Policy, Elsevier, vol. 161(C).
    34. Li, Yunwei & Chen, Kui & Ding, Ruixin & Zhang, Jing & Hao, Yu, 2023. "How do photovoltaic poverty alleviation projects relieve household energy poverty? Evidence from China," Energy Economics, Elsevier, vol. 118(C).
    35. Alexandru Maxim & Costică Mihai & Constantin-Marius Apostoaie & Cristian Popescu & Costel Istrate & Ionel Bostan, 2016. "Implications and Measurement of Energy Poverty across the European Union," Sustainability, MDPI, vol. 8(5), pages 1-20, May.
    36. Lowans, Christopher & Furszyfer Del Rio, Dylan & Sovacool, Benjamin K. & Rooney, David & Foley, Aoife M., 2021. "What is the state of the art in energy and transport poverty metrics? A critical and comprehensive review," Energy Economics, Elsevier, vol. 101(C).
    37. Wang, Xiong & Yang, Wanping & Ren, Xiaohang & Lu, Zudi, 2023. "Can financial inclusion affect energy poverty in China? Evidence from a spatial econometric analysis," International Review of Economics & Finance, Elsevier, vol. 85(C), pages 255-269.
    38. Zhang, Dayong & Li, Jiajia & Han, Phoumin, 2019. "A multidimensional measure of energy poverty in China and its impacts on health: An empirical study based on the China family panel studies," Energy Policy, Elsevier, vol. 131(C), pages 72-81.
    39. Oluwafemi Aladejuyigbe & Olawumi Dele Awolusi, 2021. "Global Energy Poverty: Nigeria as a Case Study," Information Management and Business Review, AMH International, vol. 13(3), pages 14-29.
    40. Dong, Kangyin & Taghizadeh-Hesary, Farhad & Zhao, Jun, 2022. "How inclusive financial development eradicates energy poverty in China? The role of technological innovation," Energy Economics, Elsevier, vol. 109(C).
    41. Jingwen Wu & Bingdong Hou & Ruoyu Ke & Yun-Fei Du & Ce Wang & Xiangzheng Li & Jiawei Cai & Tianqi Chen & Meixuan Teng & Jin Liu & Jin-Wei Wang & Hua Liao, 2018. "Residential fuel choice in the rural: A field research on two counties of North China," CEEP-BIT Working Papers 109, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
    42. Wang, Baixun & Zhao, Wenjuan, 2022. "Interplay of renewable energy investment efficiency, shareholder control and green financial development in China," Renewable Energy, Elsevier, vol. 199(C), pages 192-203.
    43. Siksnelyte-Butkiene, Indre & Streimikiene, Dalia & Balezentis, Tomas, 2022. "Addressing sustainability issues in transition to carbon-neutral sustainable society with multi-criteria analysis," Energy, Elsevier, vol. 254(PA).
    44. Wang, Wei & Xiao, Weiwei & Bai, Caiquan, 2022. "Can renewable energy technology innovation alleviate energy poverty? Perspective from the marketization level," Technology in Society, Elsevier, vol. 68(C).
    45. Adusah-Poku, Frank & Takeuchi, Kenji, 2019. "Energy poverty in Ghana: Any progress so far?," Renewable and Sustainable Energy Reviews, Elsevier, vol. 112(C), pages 853-864.
    46. Sadath, Anver C. & Acharya, Rajesh H., 2017. "Assessing the extent and intensity of energy poverty using Multidimensional Energy Poverty Index: Empirical evidence from households in India," Energy Policy, Elsevier, vol. 102(C), pages 540-550.
    47. Tiwari, Sunil & Si Mohammed, Kamel & Guesmi, Khaled, 2023. "A way forward to end energy poverty in China: Role of carbon-cutting targets and net-zero commitments," Energy Policy, Elsevier, vol. 180(C).
    48. Dogan, Eyup & Madaleno, Mara & Taskin, Dilvin, 2021. "Which households are more energy vulnerable? Energy poverty and financial inclusion in Turkey," Energy Economics, Elsevier, vol. 99(C).
    49. Zhao, Jun & Jiang, Qingzhe & Dong, Xiucheng & Dong, Kangyin, 2021. "Assessing energy poverty and its effect on CO2 emissions: The case of China," Energy Economics, Elsevier, vol. 97(C).
    50. Xia, Liangke & Wan, Lijiang & Wang, Weizheng & Luo, Jian & Yan, Jiale, 2023. "Energy accessibility via natural resources: Do natural resources ensure energy accessibility in low income countries?," Resources Policy, Elsevier, vol. 86(PB).
    51. Lin, Boqiang & Wang, Yao, 2020. "Does energy poverty really exist in China? From the perspective of residential electricity consumption," Energy Policy, Elsevier, vol. 143(C).
    52. Jiang, Lu & Yu, Lu & Xue, Bing & Chen, Xingpeng & Mi, Zhifu, 2020. "Who is energy poor? Evidence from the least developed regions in China," Energy Policy, Elsevier, vol. 137(C).
    53. Liu, Fengqi & Kang, Yuxin & Guo, Kun, 2022. "Is electricity consumption of Chinese counties decoupled from carbon emissions? A study based on Tapio decoupling index," Energy, Elsevier, vol. 251(C).
    54. Ren, Yi-Shuai & Kuang, Xianhua & Klein, Tony, 2024. "Does the urban–rural income gap matter for rural energy poverty?," Energy Policy, Elsevier, vol. 186(C).
    55. Shafqut Ullah & Muhammad Khan & Seong-Min Yoon, 2021. "Measuring Energy Poverty and Its Impact on Economic Growth in Pakistan," Sustainability, MDPI, vol. 13(19), pages 1-19, October.
    56. Shahzad, Umer & Gupta, Mansi & Sharma, Gagan Deep & Rao, Amar & Chopra, Ritika, 2022. "Resolving energy poverty for social change: Research directions and agenda," Technological Forecasting and Social Change, Elsevier, vol. 181(C).
    57. Du, Juntao & Song, Malin & Xie, Bing, 2022. "Eliminating energy poverty in Chinese households: A cognitive capability framework," Renewable Energy, Elsevier, vol. 192(C), pages 373-384.
    58. Li, Jinkai & Gao, Ming & Luo, Erga & Wang, Jingyi & Zhang, Xuebiao, 2023. "Does rural energy poverty alleviation really reduce agricultural carbon emissions? The case of China," Energy Economics, Elsevier, vol. 119(C).
    59. George E. Halkos & Eleni-Christina Gkampoura, 2021. "Coping with Energy Poverty: Measurements, Drivers, Impacts, and Solutions," Energies, MDPI, vol. 14(10), pages 1-14, May.
    60. Jiang, Lu & Yan, Meng & Wang, Yong & Yang, Pu & Shi, Xiaonan, 2024. "Are we underestimating inner-megacity energy poverty in developing countries? Evidence from 2054 households in beijing, China," Energy, Elsevier, vol. 300(C).
    61. Zhang, Quanda & Appau, Samuelson & Kodom, Peter Lord, 2021. "Energy poverty, children's wellbeing and the mediating role of academic performance: Evidence from China," Energy Economics, Elsevier, vol. 97(C).
    62. Zhang, Sheng-Hao & Yang, Jun & Feng, Chao, 2023. "Can internet development alleviate energy poverty? Evidence from China," Energy Policy, Elsevier, vol. 173(C).
    63. Wang, Hanjie & Maruejols, Lucie & Yu, Xiaohua, 2021. "Predicting energy poverty with combinations of remote-sensing and socioeconomic survey data in India: Evidence from machine learning," Energy Economics, Elsevier, vol. 102(C).
    64. Sun, Chuanwang & Zhang, Yifan & Peng, Shuijun & Zhang, Wencheng, 2015. "The inequalities of public utility products in China: From the perspective of the Atkinson index," Renewable and Sustainable Energy Reviews, Elsevier, vol. 51(C), pages 751-760.
    65. Zou, Ran & Yang, Jun & Feng, Chao, 2023. "Does informatization alleviate energy poverty? A global perspective," Energy Economics, Elsevier, vol. 126(C).
    66. Mahumane, Gilberto & Mulder, Peter, 2022. "Urbanization of energy poverty? The case of Mozambique," Renewable and Sustainable Energy Reviews, Elsevier, vol. 159(C).
    67. Awan, Ashar & Bilgili, Faik & Rahut, Dil Bahadur, 2022. "Energy poverty trends and determinants in Pakistan: Empirical evidence from eight waves of HIES 1998–2019," Renewable and Sustainable Energy Reviews, Elsevier, vol. 158(C).
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    69. Guo, Qing & You, Wenlan, 2024. "How can the digital economy alleviate multidimensional energy poverty? —Empirical evidence of 21 prefecture-level cities in Guangdong Province," Energy, Elsevier, vol. 301(C).
    70. Dong, Kangyin & Wei, Shuo & Liu, Yang & Zhao, Jun, 2023. "How does energy poverty eradication promote common prosperity in China? The role of labor productivity," Energy Policy, Elsevier, vol. 181(C).

  53. Bing Wang & Ruo-Yu Ke & Xiao-Chen Yuan & Yi-Ming Wei, 2014. "China's regional assessment of renewable energy vulnerability to climate change," CEEP-BIT Working Papers 52, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.

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    1. Pilar Murias & Beatriz Valcárcel-Aguiar & Rosa María Regueiro-Ferreira, 2020. "A Territorial Estimate for Household Energy Vulnerability: An Application for Spain," Sustainability, MDPI, vol. 12(15), pages 1-21, July.
    2. Wang, Bing & Wang, Qian & Wei, Yi-Ming & Li, Zhi-Ping, 2018. "Role of renewable energy in China’s energy security and climate change mitigation: An index decomposition analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 90(C), pages 187-194.
    3. Xue Yang & Shili Guo & Xin Deng & Wei Wang & Dingde Xu, 2021. "Study on Livelihood Vulnerability and Adaptation Strategies of Farmers in Areas Threatened by Different Disaster Types under Climate Change," Agriculture, MDPI, vol. 11(11), pages 1-21, November.
    4. Bing Wang & Hua-Nan Li & Xiao-Chen Yuan & Zhen-Ming Sun, 2017. "Energy Poverty in China: A Dynamic Analysis Based on a Hybrid Panel Data Decision Model," Energies, MDPI, vol. 10(12), pages 1-14, November.
    5. Jahani, Hamed & Gholizadeh, Hadi & Hayati, Zahra & Fazlollahtabar, Hamed, 2023. "Investment risk assessment of the biomass-to-energy supply chain using system dynamics," Renewable Energy, Elsevier, vol. 203(C), pages 554-567.
    6. Wang, Bing & Nistor, Ioan & Murty, Tad & Wei, Yi-Ming, 2014. "Efficiency assessment of hydroelectric power plants in Canada: A multi criteria decision making approach," Energy Economics, Elsevier, vol. 46(C), pages 112-121.
    7. Wang, Bing & Wei, Yi-Ming & Yuan, Xiao-Chen, 2018. "Possible design with equity and responsibility in China’s renewable portfolio standards," Applied Energy, Elsevier, vol. 232(C), pages 685-694.
    8. Praene, Jean Philippe & Radanielina, Mamy Harimisa & Rakotoson, Vanessa Rolande & Andriamamonjy, Ando Ludovic & Sinama, Frantz & Morau, Dominique & Rakotondramiarana, Hery Tiana, 2017. "Electricity generation from renewables in Madagascar: Opportunities and projections," Renewable and Sustainable Energy Reviews, Elsevier, vol. 76(C), pages 1066-1079.
    9. Wang, Xiaozhen & Zheng, Ying & Jiang, Zihao & Tao, Ziyang, 2021. "Influence mechanism of subsidy policy on household photovoltaic purchase intention under an urban-rural divide in China," Energy, Elsevier, vol. 220(C).
    10. Liu, Yang & Dong, Kangyin & Jiang, Qingzhe, 2023. "Assessing energy vulnerability and its impact on carbon emissions: A global case," Energy Economics, Elsevier, vol. 119(C).
    11. Ye, Bin & Jiang, Jingjing & Liu, Junguo & Zheng, Yi & Zhou, Nan, 2021. "Research on quantitative assessment of climate change risk at an urban scale: Review of recent progress and outlook of future direction," Renewable and Sustainable Energy Reviews, Elsevier, vol. 135(C).
    12. Behrang Vand & Aira Hast & Sanaz Bozorg & Zelin Li & Sanna Syri & Shuai Deng, 2019. "Consumers’ Attitudes to Support Green Energy: A Case Study in Shanghai," Energies, MDPI, vol. 12(12), pages 1-20, June.
    13. Li, Yanbin & Li, Yun & Wang, Bingqian & Chen, Zhuoer & Nie, Dan, 2016. "The status quo review and suggested policies for shale gas development in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 59(C), pages 420-428.
    14. Sun, Jie & Zhou, P. & Wen, Wen, 2022. "Assessing the regional adaptive capacity to renewable portfolio standard policy in China," Energy Policy, Elsevier, vol. 162(C).
    15. Isik, Mine & Sarica, Kemal & Ari, Izzet, 2020. "Driving forces of Turkey's transportation sector CO2 emissions: An LMDI approach," Transport Policy, Elsevier, vol. 97(C), pages 210-219.
    16. Lingling Zhou & Tao Shi & Qian Zhou, 2023. "Is ICT Development Conducive to Reducing the Vulnerability of Low-Carbon Energy? Evidence from OECD Countries," IJERPH, MDPI, vol. 20(3), pages 1-22, January.
    17. Alizadeh, Reza & Soltanisehat, Leili & Lund, Peter D. & Zamanisabzi, Hamed, 2020. "Improving renewable energy policy planning and decision-making through a hybrid MCDM method," Energy Policy, Elsevier, vol. 137(C).
    18. Naveed Ahmad & Yuming Zhu & Muhammad Ibrahim & Muhammad Waqas & Abdul Waheed, 2018. "Development of a Standard Brownfield Definition, Guidelines, and Evaluation Index System for Brownfield Redevelopment in Developing Countries: The Case of Pakistan," Sustainability, MDPI, vol. 10(12), pages 1-22, November.
    19. Salvia, Monica & Reckien, Diana & Geneletti, Davide & Pietrapertosa, Filomena & D'Alonzo, Valentina & De Gregorio Hurtado, Sonia & Chatterjee, Souran & Bai, Xuemei & Ürge-Vorsatz, Diana, 2023. "Understanding the motivations and implications of climate emergency declarations in cities: The case of Italy," Renewable and Sustainable Energy Reviews, Elsevier, vol. 178(C).
    20. Sun, Mingxing & Xu, Xiangbo & Wang, Le & Li, Chang & Zhang, Linxiu, 2021. "Stable energy, energy inequality, and climate change vulnerability in Pan-Third Pole regions: Empirical analysis in cross-national rural areas," Renewable and Sustainable Energy Reviews, Elsevier, vol. 147(C).
    21. Di Leo, Senatro & Cosmi, Carmelina & Ragosta, Maria, 2015. "An application of multivariate statistical techniques to partial equilibrium models outputs: The analysis of the NEEDS-TIMES Pan European model results," Renewable and Sustainable Energy Reviews, Elsevier, vol. 49(C), pages 108-120.
    22. Xiaoyang Sun & Baosheng Zhang & Xu Tang & Benjamin C. McLellan & Mikael Höök, 2016. "Sustainable Energy Transitions in China: Renewable Options and Impacts on the Electricity System," Energies, MDPI, vol. 9(12), pages 1-20, November.
    23. Shen, Pengyuan & Lior, Noam, 2016. "Vulnerability to climate change impacts of present renewable energy systems designed for achieving net-zero energy buildings," Energy, Elsevier, vol. 114(C), pages 1288-1305.
    24. Dong, Liang & Liang, Hanwei & Gao, Zhiqiu & Luo, Xiao & Ren, Jingzheng, 2016. "Spatial distribution of China׳s renewable energy industry: Regional features and implications for a harmonious development future," Renewable and Sustainable Energy Reviews, Elsevier, vol. 58(C), pages 1521-1531.
    25. Zhang, Lei & Qin, Quande & Wei, Yi-Ming, 2019. "China's distributed energy policies: Evolution, instruments and recommendation," Energy Policy, Elsevier, vol. 125(C), pages 55-64.

  54. Huanan Li & Yi-Ming Wei & Zhi-Fu Mi, 2014. "China's carbon flow: 2008-2012," CEEP-BIT Working Papers 80, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.

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    2. Huanan Li & Yi-Ming Wei & Zhi-Fu Mi, 2014. "China's carbon flow: 2008-2012," CEEP-BIT Working Papers 80, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
    3. Pedro I. Hancevic & Hector M. Nunez & Juan Rosellón, 2017. "Distributed Photovoltaic Power Generation: Possibilities, Benefits, and Challenges for a Widespread Application in the Mexican Residential Sector," Discussion Papers of DIW Berlin 1663, DIW Berlin, German Institute for Economic Research.
    4. Ye, Bin & Jiang, JingJing & Li, Changsheng & Miao, Lixin & Tang, Jie, 2017. "Quantification and driving force analysis of provincial-level carbon emissions in China," Applied Energy, Elsevier, vol. 198(C), pages 223-238.
    5. Honghua Yang & Linwei Ma & Zheng Li, 2020. "A Method for Analyzing Energy-Related Carbon Emissions and the Structural Changes: A Case Study of China from 2005 to 2015," Energies, MDPI, vol. 13(8), pages 1-24, April.
    6. Amzallag, Adrien, 2022. "Fund portfolio networks: A climate risk perspective," International Review of Financial Analysis, Elsevier, vol. 84(C).
    7. Chinhao Chong & Xi Zhang & Geng Kong & Linwei Ma & Zheng Li & Weidou Ni & Eugene-Hao-Chen Yu, 2021. "A Visualization Method of the Economic Input–Output Table: Mapping Monetary Flows in the Form of Sankey Diagrams," Sustainability, MDPI, vol. 13(21), pages 1-56, November.
    8. Aldy, Joseph Edgar & Pizer, William, 2016. "Alternative Metrics for Comparing Domestic Climate Change Mitigation Efforts and the Emerging International Climate Policy Architecture," Scholarly Articles 22808338, Harvard Kennedy School of Government.
    9. Moritz Bohland & Jana Lippelt & Ana Maria Montoya Gómez & Thomas Ruppert & Marie-Theres von Schickfus, 2015. "Kurz zum Klima: Im Vorfeld der Weltklimakonferenz in Paris," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 68(22), pages 56-63, November.
    10. Murray, Brian & Rivers, Nicholas, 2015. "British Columbia’s revenue-neutral carbon tax: A review of the latest “grand experiment” in environmental policy," Energy Policy, Elsevier, vol. 86(C), pages 674-683.
    11. Wang, Yongpei & Li, Jun, 2019. "Spatial spillover effect of non-fossil fuel power generation on carbon dioxide emissions across China's provinces," Renewable Energy, Elsevier, vol. 136(C), pages 317-330.
    12. Babatunde, Kazeem Alasinrin & Begum, Rawshan Ara & Said, Fathin Faizah, 2017. "Application of computable general equilibrium (CGE) to climate change mitigation policy: A systematic review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 78(C), pages 61-71.
    13. Ju, Youngsan & Lee, Chang-Ha, 2019. "Dynamic modeling of a dual fluidized-bed system with the circulation of dry sorbent for CO2 capture," Applied Energy, Elsevier, vol. 241(C), pages 640-651.

  55. Bing Wang & Su-Yan Pan & Ruo-Yu Ke & Ke Wang & Yi-Ming Wei, 2014. "An overview of climate change vulnerability: a bibliometric analysis based on Web of Science database," CEEP-BIT Working Papers 62, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.

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    2. Villa-Cox, Gonzalo & Bucaram-Villacís, Santiago J. & Goethals, Peter & Speelman, Stijn, 2023. "Mapping linkages between ecosystem services and agricultural and landscape management using structural topic modeling of scientific literature," Ecosystem Services, Elsevier, vol. 61(C).
    3. Vivek Warke & Satish Kumar & Arunkumar Bongale & Ketan Kotecha, 2021. "Sustainable Development of Smart Manufacturing Driven by the Digital Twin Framework: A Statistical Analysis," Sustainability, MDPI, vol. 13(18), pages 1-49, September.
    4. Bing Wang & Chao-Qun Cui & Yi-Xin Zhao & Man Chen & Xiao-Chen Yuan, 2019. "Climate change mitigation in the coal mining industry: low-carbon pathways and mine safety indicators," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 95(1), pages 25-38, January.
    5. Bing Wang & Hua-Nan Li & Xiao-Chen Yuan & Zhen-Ming Sun, 2017. "Energy Poverty in China: A Dynamic Analysis Based on a Hybrid Panel Data Decision Model," Energies, MDPI, vol. 10(12), pages 1-14, November.
    6. Gallego-Losada, María-Jesús & Montero-Navarro, Antonio & García-Abajo, Elisa & Gallego-Losada, Rocío, 2023. "Digital financial inclusion. Visualizing the academic literature," Research in International Business and Finance, Elsevier, vol. 64(C).
    7. Wang, Bing & Nistor, Ioan & Murty, Tad & Wei, Yi-Ming, 2014. "Efficiency assessment of hydroelectric power plants in Canada: A multi criteria decision making approach," Energy Economics, Elsevier, vol. 46(C), pages 112-121.
    8. Qilong Shao & Li Peng & Yichan Liu & Yongchang Li, 2023. "A Bibliometric Analysis of Urban Ecosystem Services: Structure, Evolution, and Prospects," Land, MDPI, vol. 12(2), pages 1-23, January.
    9. Holman Ospina-Mateus & Leonardo Augusto Quintana Jiménez & Francisco J. Lopez-Valdes & Katherinne Salas-Navarro, 2019. "Bibliometric analysis in motorcycle accident research: a global overview," Scientometrics, Springer;Akadémiai Kiadó, vol. 121(2), pages 793-815, November.
    10. Bing Wang & Ruo-Yu Ke & Xiao-Chen Yuan & Yi-Ming Wei, 2014. "China's regional assessment of renewable energy vulnerability to climate change," CEEP-BIT Working Papers 52, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
    11. Alex Coletti & Antonio De Nicola & Maria Luisa Villani, 2016. "Building climate change into risk assessments," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 84(2), pages 1307-1325, November.
    12. Wang, Qiang & Li, Rongrong, 2017. "Research status of shale gas: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 74(C), pages 715-720.
    13. Tian-Yuan Huang & Liangping Ding & Yong-Qiang Yu & Lei Huang & Liying Yang, 2023. "From AR5 to AR6: exploring research advancement in climate change based on scientific evidence from IPCC WGI reports," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(9), pages 5227-5245, September.
    14. Katherinne Salas-Navarro & Paula Serrano-Pájaro & Holman Ospina-Mateus & Ronald Zamora-Musa, 2022. "Inventory Models in a Sustainable Supply Chain: A Bibliometric Analysis," Sustainability, MDPI, vol. 14(10), pages 1-21, May.
    15. Long Ho & Peter Goethals, 2020. "Research hotspots and current challenges of lakes and reservoirs: a bibliometric analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(1), pages 603-631, July.
    16. Paulius Šūmakaris & Deniss Ščeulovs & Renata Korsakienė, 2020. "Current Research Trends on Interrelationships of Eco-Innovation and Internationalisation: A Bibliometric Analysis," JRFM, MDPI, vol. 13(5), pages 1-16, April.
    17. James D. Ford & Tristan Pearce & Graham McDowell & Lea Berrang-Ford & Jesse S. Sayles & Ella Belfer, 2018. "Vulnerability and its discontents: the past, present, and future of climate change vulnerability research," Climatic Change, Springer, vol. 151(2), pages 189-203, November.
    18. Keke Li & Bofeng Cai & Zhen Wang, 2022. "Accessing the Climate Change Impacts in China through a Literature Mapping," IJERPH, MDPI, vol. 19(20), pages 1-14, October.
    19. Gabriela Reis & Francisco Assis Souza Filho & Donald Robert Nelson & Renan Vieira Rocha & Samiria Maria Oliveira Silva, 2020. "Development of a drought vulnerability index using MCDM and GIS: study case in São Paulo and Ceará, Brazil," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 104(2), pages 1781-1799, November.
    20. Xinyu Fu & Bowen Sun & Kathryn Frank & Zhong-Ren Peng, 2019. "Evaluating sea-level rise vulnerability assessments in the USA," Climatic Change, Springer, vol. 155(3), pages 393-415, August.
    21. Gideon Baffoe & Keith Kintrea, 2022. "Towards Understanding the Landscapes of Neighbourhood Research: An Insight from Bibliometric Analysis," Sustainability, MDPI, vol. 14(5), pages 1-16, March.
    22. Aleixandre-Benavent, Rafael & Aleixandre-Tudó, José Luis & Castelló-Cogollos, Lourdes & Aleixandre, José Luis, 2018. "Trends in global research in deforestation. A bibliometric analysis," Land Use Policy, Elsevier, vol. 72(C), pages 293-302.
    23. Johnson Ankrah & Ana Monteiro & Helena Madureira, 2023. "Geospatiality of sea level rise impacts and communities’ adaptation: a bibliometric analysis and systematic review," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 116(1), pages 1-31, March.
    24. Gedas Baranauskas & Agota Giedrė Raišienė & Renata Korsakienė, 2020. "Mapping the Scientific Research on Mass Customization Domain: A Critical Review and Bibliometric Analysis," JRFM, MDPI, vol. 13(9), pages 1-20, September.
    25. Mandeep Mahendru & Vibha Arora & Ravi Chatterjee & Gagan Deep Sharma & Irum Shahzadi, 2024. "From Over-Tourism to Under-Tourism via COVID-19: Lessons for Sustainable Tourism Management," Evaluation Review, , vol. 48(1), pages 177-210, February.
    26. Luan Santos & Karl Steininger & Marcelle Candido Cordeiro & Johanna Vogel, 2022. "Current Status and Future Perspectives of Carbon Pricing Research in Austria," Sustainability, MDPI, vol. 14(15), pages 1-28, August.
    27. Alessio Cimini, 2021. "Evolution of the Global Scientific Research on the Environmental Impact of Food Production from 1970 to 2020," Sustainability, MDPI, vol. 13(21), pages 1-22, October.
    28. Jesús Cebrino & Silvia Portero de la Cruz, 2020. "A worldwide bibliometric analysis of published literature on workplace violence in healthcare personnel," PLOS ONE, Public Library of Science, vol. 15(11), pages 1-16, November.
    29. Hui-Zhen Fu & Ludo Waltman, 2022. "A large-scale bibliometric analysis of global climate change research between 2001 and 2018," Climatic Change, Springer, vol. 170(3), pages 1-21, February.
    30. Almat Kabyl & Ming Yang & Dhawal Shah & Arshad Ahmad, 2022. "Bibliometric Analysis of Accidental Oil Spills in Ice-Infested Waters," IJERPH, MDPI, vol. 19(22), pages 1-17, November.
    31. Nurul Ain Zulhaimi & Joy Jacqueline Pereira & Nurfashareena Muhamad, 2023. "Global Research Landscape of Climate Change, Vulnerability, and Islands," Sustainability, MDPI, vol. 15(17), pages 1-21, August.
    32. Robin Haunschild & Werner Marx, 2020. "Discovering seminal works with marker papers," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(3), pages 2955-2969, December.

  56. Jing-Li Fan & Qiao-Mei Liang & Xiao-Jie Liang & Hirokazu Tatano & Yoshio Kajitani & Yi-Ming Wei, 2014. "National vulnerability to extreme climatic events: the cases of electricity disruption in China and Japan," CEEP-BIT Working Papers 59, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.

    Cited by:

    1. Fan, Jing-Li & Kong, Ling-Si & Zhang, Xian, 2018. "Synergetic effects of water and climate policy on energy-water nexus in China: A computable general equilibrium analysis," Energy Policy, Elsevier, vol. 123(C), pages 308-317.
    2. Kelly, Arsene Mouongue & Ngo Nguéda Radler, Romaine Doline, 2024. "Does energy consumption matter for climate change in Africa? New insights from panel data analysis," Innovation and Green Development, Elsevier, vol. 3(3).

  57. Huanan Li & Yi-Ming Wei, 2014. "Is it possible for China to reduce its total CO2 emissions?," CEEP-BIT Working Papers 81, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.

    Cited by:

    1. Xie, Rui & Wang, Fangfang & Chevallier, Julien & Zhu, Bangzhu & Zhao, Guomei, 2018. "Supply-side structural effects of air pollutant emissions in China: A comparative analysis," Structural Change and Economic Dynamics, Elsevier, vol. 46(C), pages 89-95.
    2. Zura Kakushadze, 2015. "A Spectral Model of Turnover Reduction," Econometrics, MDPI, vol. 3(3), pages 1-13, July.
    3. Pusnik, M. & Al-Mansour, F. & Sucic, B. & Cesen, M., 2017. "Trends and prospects of energy efficiency development in Slovenian industry," Energy, Elsevier, vol. 136(C), pages 52-62.
    4. Woo, C.K. & Shiu, A. & Liu, Y. & Luo, X. & Zarnikau, J., 2018. "Consumption effects of an electricity decarbonization policy: Hong Kong," Energy, Elsevier, vol. 144(C), pages 887-902.
    5. Rodríguez, Miguel, 2022. "Why do many prospective analyses of CO2 emissions fail? An illustrative example from China," Energy, Elsevier, vol. 244(PB).
    6. Longji Zeng & Yuandi Wang & Yajuan Deng, 2022. "How Land Transactions Affect Carbon Emissions: Evidence from China," Land, MDPI, vol. 11(5), pages 1-25, May.
    7. Guglielmo Maria Caporale & Gloria Claudio-Quiroga & Luis A. Gil-Alana, 2019. "CO2 Emissions and GDP: Evidence from China," CESifo Working Paper Series 7881, CESifo.
    8. Wu, Ya & Zhang, Wanying, 2016. "The driving factors behind coal demand in China from 1997 to 2012: An empirical study of input-output structural decomposition analysis," Energy Policy, Elsevier, vol. 95(C), pages 126-134.
    9. Rahman, Md. Saifur & Noman, Abu Hanifa Md. & Shahari, Farihana & Aslam, Mohamed & Gee, Chan Sok & Isa, Che Ruhana & Pervin, Sajeda, 2016. "Efficient energy consumption in industrial sectors and its effect on environment: A comparative analysis between G8 and Southeast Asian emerging economies," Energy, Elsevier, vol. 97(C), pages 82-89.
    10. Thomakos, Dimitrios D. & Alexopoulos, Thomas A., 2016. "Carbon intensity as a proxy for environmental performance and the informational content of the EPI," Energy Policy, Elsevier, vol. 94(C), pages 179-190.
    11. Zhang, Lixiao & Yang, Min & Zhang, Pengpeng & Hao, Yan & Lu, Zhongming & Shi, Zhimin, 2021. "De-coal process in urban China: What can we learn from Beijing's experience?," Energy, Elsevier, vol. 230(C).
    12. Jiang, Jingjing & Ye, Bin & Xie, Dejun & Li, Ji & Miao, Lixin & Yang, Peng, 2017. "Sector decomposition of China’s national economic carbon emissions and its policy implication for national ETS development," Renewable and Sustainable Energy Reviews, Elsevier, vol. 75(C), pages 855-867.
    13. Ling Li & Ling Tang & Junrong Zhang, 2019. "Coupling Structural Decomposition Analysis and Sensitivity Analysis to Investigate CO 2 Emission Intensity in China," Energies, MDPI, vol. 12(12), pages 1-23, June.
    14. Syed Shujaa Safdar Gardezi & Nasir Shafiq & Muhammad Waris Ali Khan, 2022. "Relational pre-impact assessment of conventional housing features and carbon footprint for achieving sustainable built environment," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(6), pages 8441-8463, June.
    15. Jiang, Jingjing & Ye, Bin & Liu, Junguo, 2019. "Research on the peak of CO2 emissions in the developing world: Current progress and future prospect," Applied Energy, Elsevier, vol. 235(C), pages 186-203.
    16. Xinlin Zhang & Yuan Zhao & Qi Sun & Changjian Wang, 2017. "Decomposition and Attribution Analysis of Industrial Carbon Intensity Changes in Xinjiang, China," Sustainability, MDPI, vol. 9(3), pages 1-16, March.
    17. Wenwen Li & Wenping Wang & Yu Wang & Yingbo Qin, 2017. "Industrial structure, technological progress and CO2 emissions in China: Analysis based on the STIRPAT framework," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 88(3), pages 1545-1564, September.
    18. Xu, Bin & Lin, Boqiang, 2016. "Differences in regional emissions in China's transport sector: Determinants and reduction strategies," Energy, Elsevier, vol. 95(C), pages 459-470.
    19. Lima, Fátima & Nunes, Manuel Lopes & Cunha, Jorge & Lucena, André F.P., 2016. "A cross-country assessment of energy-related CO2 emissions: An extended Kaya Index Decomposition Approach," Energy, Elsevier, vol. 115(P2), pages 1361-1374.
    20. Lin, Boqiang & Teng, Yuqiang, 2022. "Structural path and decomposition analysis of sectoral carbon emission changes in China," Energy, Elsevier, vol. 261(PB).
    21. Fernando, Yudi & Bee, Poh Swan & Jabbour, Charbel Jose Chiappetta & Thomé, Antônio Márcio Tavares, 2018. "Understanding the effects of energy management practices on renewable energy supply chains: Implications for energy policy in emerging economies," Energy Policy, Elsevier, vol. 118(C), pages 418-428.
    22. Heinrichs, Heidi Ursula & Schumann, Diana & Vögele, Stefan & Biß, Klaus Hendrik & Shamon, Hawal & Markewitz, Peter & Többen, Johannes & Gillessen, Bastian & Gotzens, Fabian & Ernst, Anna, 2017. "Integrated assessment of a phase-out of coal-fired power plants in Germany," Energy, Elsevier, vol. 126(C), pages 285-305.
    23. Liu, Yisheng & Yang, Meng & Cheng, Feiyu & Tian, Jinzhao & Du, Zhuoqun & Song, Pengbo, 2022. "Analysis of regional differences and decomposition of carbon emissions in China based on generalized divisia index method," Energy, Elsevier, vol. 256(C).
    24. Qi Fu & Mengfan Gao & Yue Wang & Tinghui Wang & Xu Bi & Jinhua Chen, 2022. "Spatiotemporal Patterns and Drivers of the Carbon Budget in the Yangtze River Delta Region, China," Land, MDPI, vol. 11(8), pages 1-18, August.
    25. Zura Kakushadze, 2015. "Combining Alphas via Bounded Regression," Risks, MDPI, vol. 3(4), pages 1-17, November.
    26. Guglielmo Maria Caporale & Gloria Claudio-Quiroga & Luis A. Gil-Alana, 2021. "Analysing the relationship between CO2 emissions and GDP in China: a fractional integration and cointegration approach," Journal of Innovation and Entrepreneurship, Springer, vol. 10(1), pages 1-16, December.
    27. Zhao, Jun & Jiang, Qingzhe & Dong, Xiucheng & Dong, Kangyin & Jiang, Hongdian, 2022. "How does industrial structure adjustment reduce CO2 emissions? Spatial and mediation effects analysis for China," Energy Economics, Elsevier, vol. 105(C).
    28. Yaumi, A.L. & Bakar, M.Z. Abu & Hameed, B.H., 2017. "Recent advances in functionalized composite solid materials for carbon dioxide capture," Energy, Elsevier, vol. 124(C), pages 461-480.

  58. Hao Yu & Su-Yan Pan & Bao-Jun Tang & Zhi-Fu Mi & Yan Zhang & Yi-Ming Wei, 2014. "Urban energy consumption and CO2 emissions in Beijing: Current and Future," CEEP-BIT Working Papers 70, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.

    Cited by:

    1. Hu, Guangxiao & Ma, Xiaoming & Ji, Junping, 2019. "Scenarios and policies for sustainable urban energy development based on LEAP model – A case study of a postindustrial city: Shenzhen China," Applied Energy, Elsevier, vol. 238(C), pages 876-886.
    2. Wang, Shanyong & Wang, Jing & Li, Jun & Wang, Jinpeng & Liang, Liang, 2018. "Policy implications for promoting the adoption of electric vehicles: Do consumer’s knowledge, perceived risk and financial incentive policy matter?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 117(C), pages 58-69.
    3. Qunli Wu & Chenyang Peng, 2016. "Scenario Analysis of Carbon Emissions of China’s Electric Power Industry Up to 2030," Energies, MDPI, vol. 9(12), pages 1-18, November.
    4. Bin Wang & Qiuxia Zheng & Ao Sun & Jie Bao & Dianting Wu, 2021. "Spatio-Temporal Patterns of CO 2 Emissions and Influencing Factors in China Using ESDA and PLS-SEM," Mathematics, MDPI, vol. 9(21), pages 1-24, October.
    5. Hao Yu & Yi-Ming Wei & Bao-Jun Tang & Zhifu Mi & Su-Yan Pan, 2017. "Assessment on the research trend of low-carbon energy technology investment: A bibliometric analysis," CEEP-BIT Working Papers 106, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
    6. Xunmin Ou & Zhiyi Yuan & Tianduo Peng & Zhenqing Sun & Sheng Zhou, 2017. "The Low-Carbon Transition toward Sustainability of Regional Coal-Dominated Energy Consumption Structure: A Case of Hebei Province in China," Sustainability, MDPI, vol. 9(7), pages 1-26, July.
    7. Lv, Zongyan & Wu, Lin & Yang, Zhiwen & Yang, Lei & Fang, Tiange & Mao, Hongjun, 2023. "Comparison on real-world driving emission characteristics of CNG, LNG and Hybrid-CNG buses," Energy, Elsevier, vol. 262(PB).
    8. Shaozhou Qi & Huarong Peng & Xiujie Tan, 2019. "The Moderating Effect of R&D Investment on Income and Carbon Emissions in China: Direct and Spatial Spillover Insights," Sustainability, MDPI, vol. 11(5), pages 1-19, February.
    9. Yan Xu & Junjie Kang & Jiahai Yuan, 2018. "The Prospective of Nuclear Power in China," Sustainability, MDPI, vol. 10(6), pages 1-21, June.
    10. Dong, Xiao-Ying & Hao, Yu, 2018. "Would income inequality affect electricity consumption? Evidence from China," Energy, Elsevier, vol. 142(C), pages 215-227.
    11. Muhammad Imran & Sajid Ali & Yousef Shahwan & Jijian Zhang & Issa Ahmad Al-Swiety, 2022. "Analyzing the Effects of Renewable and Nonrenewable Energy Usage and Technological Innovation on Environmental Sustainability: Evidence from QUAD Economies," Sustainability, MDPI, vol. 14(23), pages 1-16, November.

  59. Ke Wang & Yi-Ming Wei & Xian Zhang, 2014. "Energy and emissions efficiency patterns of Chinese regions: A multi-directional efficiency analysis," CEEP-BIT Working Papers 60, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.

    Cited by:

    1. Yongrok Choi & Hyoung Seok Lee, 2016. "Are Emissions Trading Policies Sustainable? A Study of the Petrochemical Industry in Korea," Sustainability, MDPI, vol. 8(11), pages 1-13, October.
    2. Sueyoshi, Toshiyuki & Yuan, Yan & Goto, Mika, 2017. "A literature study for DEA applied to energy and environment," Energy Economics, Elsevier, vol. 62(C), pages 104-124.
    3. Quande Qin & Xin Li & Li Li & Wei Zhen & Yi-Ming Wei, 2017. "Air emissions perspective on energy efficiency: An empirical analysis of China's coastal areas," CEEP-BIT Working Papers 98, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
    4. Rauf, Abdul & Zhang, Jin & Li, Jinkai & Amin, Waqas, 2018. "Structural changes, energy consumption and carbon emissions in China: Empirical evidence from ARDL bound testing model," Structural Change and Economic Dynamics, Elsevier, vol. 47(C), pages 194-206.
    5. Atkinson, Scott E. & Tsionas, Mike G., 2021. "Generalized estimation of productivity with multiple bad outputs: The importance of materials balance constraints," European Journal of Operational Research, Elsevier, vol. 292(3), pages 1165-1186.
    6. Shao, Yanmin, 2017. "Analysis of energy savings potential of China's nonferrous metals industry," Resources, Conservation & Recycling, Elsevier, vol. 117(PA), pages 25-33.
    7. Zhang, Ning & Kong, Fanbin & Choi, Yongrok & Zhou, P., 2014. "The effect of size-control policy on unified energy and carbon efficiency for Chinese fossil fuel power plants," Energy Policy, Elsevier, vol. 70(C), pages 193-200.
    8. Kai Xu & Lawrence Loh & Qiang Chen, 2020. "Sustainable Innovation Governance: An Analysis of Regional Innovation with a Super Efficiency Slack-Based Measure Model," Sustainability, MDPI, vol. 12(7), pages 1-19, April.
    9. Li, Ying & Chiu, Yung-ho & Lu, Liang Chun, 2018. "Energy and AQI performance of 31 cities in China," Energy Policy, Elsevier, vol. 122(C), pages 194-202.
    10. Huayong Niu & Zhishuo Zhang & Manting Luo, 2022. "Evaluation and Prediction of Low-Carbon Economic Efficiency in China, Japan and South Korea: Based on DEA and Machine Learning," IJERPH, MDPI, vol. 19(19), pages 1-28, October.
    11. Martchamadol, Jutamanee & Kumar, S., 2014. "The Aggregated Energy Security Performance Indicator (AESPI) at national and provincial level," Applied Energy, Elsevier, vol. 127(C), pages 219-238.
    12. Manevska-Tasevska, Gordana & Hansson, Helena & Asmild, Mette & Surry, Yves, 2018. "Assessing the regional efficiency of Swedish agriculture under the CAP ‒ a multidirectional efficiency approach," 162nd Seminar, April 26-27, 2018, Budapest, Hungary 271971, European Association of Agricultural Economists.
    13. Zhu, Weiwei & Zhu, Yaqin & Lin, Huaping & Yu, Yu, 2021. "Technology progress bias, industrial structure adjustment, and regional industrial economic growth motivation —— Research on regional industrial transformation and upgrading based on the effect of lea," Technological Forecasting and Social Change, Elsevier, vol. 170(C).
    14. Ke Wang & Yujiao Xian & Chia-Yen Lee & Yi-Ming Wei & Zhimin Huang, 2019. "On selecting directions for directional distance functions in a non-parametric framework: a review," Annals of Operations Research, Springer, vol. 278(1), pages 43-76, July.
    15. Wang, Qunwei & Chiu, Yung-Ho & Chiu, Ching-Ren, 2017. "Non-radial metafrontier approach to identify carbon emission performance and intensity," Renewable and Sustainable Energy Reviews, Elsevier, vol. 69(C), pages 664-672.
    16. Sueyoshi, Toshiyuki & Yuan, Yan, 2016. "Returns to damage under undesirable congestion and damages to return under desirable congestion measured by DEA environmental assessment with multiplier restriction: Economic and energy planning for s," Energy Economics, Elsevier, vol. 56(C), pages 288-309.
    17. Zhou, X. & Fan, L.W. & Zhou, P., 2015. "Marginal CO2 abatement costs: Findings from alternative shadow price estimates for Shanghai industrial sectors," Energy Policy, Elsevier, vol. 77(C), pages 109-117.
    18. Ke Wang & Yi-Ming Wei & Zhimin Huang, 2015. "Potential gains from carbon emissions trading in China: A DEA based estimation on abatement cost savings," CEEP-BIT Working Papers 84, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
    19. Yao, Xin & Guo, Chengwen & Shao, Shuai & Jiang, Zhujun, 2016. "Total-factor CO2 emission performance of China’s provincial industrial sector: A meta-frontier non-radial Malmquist index approach," Applied Energy, Elsevier, vol. 184(C), pages 1142-1153.
    20. Zhang, Xi & Geng, Yong & Shao, Shuai & Dong, Huijuan & Wu, Rui & Yao, Tianli & Song, Jiekun, 2020. "How to achieve China’s CO2 emission reduction targets by provincial efforts? – An analysis based on generalized Divisia index and dynamic scenario simulation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 127(C).
    21. Zhang, Ning & Wang, Bing & Liu, Zhu, 2016. "Carbon emissions dynamics, efficiency gains, and technological innovation in China's industrial sectors," Energy, Elsevier, vol. 99(C), pages 10-19.
    22. Qiong Xia & Min Li & Huaqing Wu & Zhenggang Lu, 2016. "Does the Central Government’s Environmental Policy Work? Evidence from the Provincial-Level Environment Efficiency in China," Sustainability, MDPI, vol. 8(12), pages 1-17, December.
    23. Li, Jianglong & Lin, Boqiang, 2017. "Ecological total-factor energy efficiency of China's heavy and light industries: Which performs better?," Renewable and Sustainable Energy Reviews, Elsevier, vol. 72(C), pages 83-94.
    24. Ding, Wenguang & Xu, Luan & Ye, Weifeng, 2014. "A comparative study of bioenergy consumption and CO2 emissions in Tibetan region of China," Renewable Energy, Elsevier, vol. 71(C), pages 344-350.
    25. Tian, Xin & Chang, Miao & Lin, Chen & Tanikawa, Hiroki, 2014. "China’s carbon footprint: A regional perspective on the effect of transitions in consumption and production patterns," Applied Energy, Elsevier, vol. 123(C), pages 19-28.
    26. Ding, Yin & Mu, Daobin & Wu, Borong & Wang, Rui & Zhao, Zhikun & Wu, Feng, 2017. "Recent progresses on nickel-rich layered oxide positive electrode materials used in lithium-ion batteries for electric vehicles," Applied Energy, Elsevier, vol. 195(C), pages 586-599.
    27. Wang, Bing & Nistor, Ioan & Murty, Tad & Wei, Yi-Ming, 2014. "Efficiency assessment of hydroelectric power plants in Canada: A multi criteria decision making approach," Energy Economics, Elsevier, vol. 46(C), pages 112-121.
    28. Huaming Chen & Jia Liu & Ying Li & Yung-Ho Chiu & Tai-Yu Lin, 2019. "A Two-stage Dynamic Undesirable Data Envelopment Analysis Model Focused on Media Reports and the Impact on Energy and Health Efficiency," IJERPH, MDPI, vol. 16(9), pages 1-23, April.
    29. Molinos-Senante, María & Hanley, Nick & Sala-Garrido, Ramón, 2015. "Measuring the CO2 shadow price for wastewater treatment: A directional distance function approach," Applied Energy, Elsevier, vol. 144(C), pages 241-249.
    30. Fangqing Wei & Junfei Chu & Jiayun Song & Feng Yang, 2019. "A cross-bargaining game approach for direction selection in the directional distance function," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 41(3), pages 787-807, September.
    31. Zhang, Ning & Zhou, Peng & Kung, Chih-Chun, 2015. "Total-factor carbon emission performance of the Chinese transportation industry: A bootstrapped non-radial Malmquist index analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 41(C), pages 584-593.
    32. Du, Huibin & Matisoff, Daniel C. & Wang, Yangyang & Liu, Xi, 2016. "Understanding drivers of energy efficiency changes in China," Applied Energy, Elsevier, vol. 184(C), pages 1196-1206.
    33. Mardani, Abbas & Zavadskas, Edmundas Kazimieras & Streimikiene, Dalia & Jusoh, Ahmad & Khoshnoudi, Masoumeh, 2017. "A comprehensive review of data envelopment analysis (DEA) approach in energy efficiency," Renewable and Sustainable Energy Reviews, Elsevier, vol. 70(C), pages 1298-1322.
    34. Zebin Zheng & Wenjun Xiao & Ziye Cheng, 2023. "China’s Green Total Factor Energy Efficiency Assessment Based on Coordinated Reduction in Pollution and Carbon Emission: From the 11th to the 13th Five-Year Plan," Sustainability, MDPI, vol. 15(9), pages 1-20, April.
    35. Ke Wang & Bin Lu & Yi-Ming Wei, 2014. "China's regional energy and environmental efficiency: A Range-Adjusted Measure based analysis," CEEP-BIT Working Papers 61, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
    36. Wang, Qunwei & Su, Bin & Sun, Jiasen & Zhou, Peng & Zhou, Dequn, 2015. "Measurement and decomposition of energy-saving and emissions reduction performance in Chinese cities," Applied Energy, Elsevier, vol. 151(C), pages 85-92.
    37. Lu, Shibao & Wang, Jianhua & Shang, Yizi & Bao, Haijun & Chen, Huixiong, 2017. "Potential assessment of optimizing energy structure in the city of carbon intensity target," Applied Energy, Elsevier, vol. 194(C), pages 765-773.
    38. Chen, Jiandong & Cheng, Shulei & Song, Malin & Wu, Yinyin, 2016. "A carbon emissions reduction index: Integrating the volume and allocation of regional emissions," Applied Energy, Elsevier, vol. 184(C), pages 1154-1164.
    39. Yujiao Xian & Ke Wang & Xunpeng Shi & Chi Zhang & Yi-Ming Wei & Zhimin Huang, 2018. "Carbon emissions intensity reduction target for China¡¯s power industry: An efficiency and productivity perspective," CEEP-BIT Working Papers 117, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
    40. Wang, Ke & Wei, Yi-Ming, 2016. "Sources of energy productivity change in China during 1997–2012: A decomposition analysis based on the Luenberger productivity indicator," Energy Economics, Elsevier, vol. 54(C), pages 50-59.
    41. Rolf Färe & Giannis Karagiannis, 2024. "The denominator rule with unit ratio difference," Journal of Productivity Analysis, Springer, vol. 61(2), pages 183-190, April.
    42. Yongrok Choi & Hyoung Seok Lee & Ahmed Mastur, 2019. "Are Sustainable Development Policies Really Feasible? Focused on the Petrochemical Industry in Korea," Sustainability, MDPI, vol. 11(14), pages 1-17, July.
    43. Zhao, Xing & Guo, Yifan & Feng, Tianchu, 2023. "Towards green recovery: Natural resources utilization efficiency under the impact of environmental information disclosure," Resources Policy, Elsevier, vol. 83(C).
    44. Wang, Ke & Wei, Yi-Ming & Huang, Zhimin, 2018. "Environmental efficiency and abatement efficiency measurements of China's thermal power industry: A data envelopment analysis based materials balance approach," European Journal of Operational Research, Elsevier, vol. 269(1), pages 35-50.
    45. Lee, Hyoungsuk & Choi, Yongrok, 2018. "Greenhouse gas performance of Korean local governments based on non-radial DDF," Technological Forecasting and Social Change, Elsevier, vol. 135(C), pages 13-21.
    46. Zheng, Bo & Zhang, Qiang & Borken-Kleefeld, Jens & Huo, Hong & Guan, Dabo & Klimont, Zbigniew & Peters, Glen P. & He, Kebin, 2015. "How will greenhouse gas emissions from motor vehicles be constrained in China around 2030?," Applied Energy, Elsevier, vol. 156(C), pages 230-240.
    47. Deyu Qian & Nong Zhang & Dongjiang Pan & Zhengzheng Xie & Hideki Shimada & Yang Wang & Chenghao Zhang & Nianchao Zhang, 2017. "Stability of Deep Underground Openings through Large Fault Zones in Argillaceous Rock," Sustainability, MDPI, vol. 9(11), pages 1-28, November.
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    88. Du, Juan & Xu, Yanhong & Wang, Yi, 2023. "How to improve sustainability for industrial sectors: Optimizing production scales based on performance-oriented resource reallocation," Energy Economics, Elsevier, vol. 119(C).
    89. Jie Zhang & Zhencheng Xing & Jigan Wang, 2016. "Analysis of CO 2 Emission Performance and Abatement Potential for Municipal Industrial Sectors in Jiangsu, China," Sustainability, MDPI, vol. 8(7), pages 1-15, July.
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    91. Shen, Neng & Peng, Hui & Wang, Qunwei, 2021. "Spatial dependence, agglomeration externalities and the convergence of carbon productivity," Socio-Economic Planning Sciences, Elsevier, vol. 78(C).
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    93. Zhou, D.Q. & Wang, Qunwei & Su, B. & Zhou, P. & Yao, L.X., 2016. "Industrial energy conservation and emission reduction performance in China: A city-level nonparametric analysis," Applied Energy, Elsevier, vol. 166(C), pages 201-209.
    94. Cui, Qiang & Li, Ye, 2015. "An empirical study on the influencing factors of transportation carbon efficiency: Evidences from fifteen countries," Applied Energy, Elsevier, vol. 141(C), pages 209-217.
    95. Chaofan Chen & Qingxin Lan & Ming Gao & Yawen Sun, 2018. "Green Total Factor Productivity Growth and Its Determinants in China’s Industrial Economy," Sustainability, MDPI, vol. 10(4), pages 1-25, April.
    96. Yiru Jiang & Xinjun Wang, 2024. "Evaluation, Driving Mechanism and Spatial Correlation Analysis of Atmospheric Environmental Efficiency in the “2+26” Cities Based on the Nonradial MEA Model," Sustainability, MDPI, vol. 16(2), pages 1-23, January.
    97. Shih-Heng Yu & Yu Gao & Yih-Chearng Shiue, 2017. "A Comprehensive Evaluation of Sustainable Development Ability and Pathway for Major Cities in China," Sustainability, MDPI, vol. 9(8), pages 1-15, August.
    98. Lin, Boqiang & Du, Kerui, 2015. "Energy and CO2 emissions performance in China's regional economies: Do market-oriented reforms matter?," Energy Policy, Elsevier, vol. 78(C), pages 113-124.
    99. Yu, Anyu & You, Jianxin & Rudkin, Simon & Zhang, Hao, 2019. "Industrial carbon abatement allocations and regional collaboration: Re-evaluating China through a modified data envelopment analysis," Applied Energy, Elsevier, vol. 233, pages 232-243.
    100. Jiasen Sun & Guo Li, 2022. "Optimizing emission reduction task sharing: technology and performance perspectives," Annals of Operations Research, Springer, vol. 316(1), pages 581-602, September.
    101. Sueyoshi, Toshiyuki & Yuan, Yan, 2015. "China's regional sustainability and diversified resource allocation: DEA environmental assessment on economic development and air pollution," Energy Economics, Elsevier, vol. 49(C), pages 239-256.
    102. Emrouznejad, Ali & Yang, Guo-liang, 2016. "CO2 emissions reduction of Chinese light manufacturing industries: A novel RAM-based global Malmquist–Luenberger productivity index," Energy Policy, Elsevier, vol. 96(C), pages 397-410.
    103. Yang, Tian-Jian & Zhang, Yue-Jun & Tang, Su & Zhang, Jing, 2016. "How to assess and manage energy performance of numerous telecommunication base stations: Evidence in China," Applied Energy, Elsevier, vol. 164(C), pages 436-445.
    104. Ke Wang & Yujiao Xian & Yi-Ming Wei & Zhimin Huang, 2016. "Sources of carbon productivity change: A decomposition and disaggregation analysis based on global Luenberger productivity indicator and endogenous directional distance function," CEEP-BIT Working Papers 91, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
    105. Shuanglian Chen & Gaoke Liao & Benjamin M. Drakeford & Pierre Failler, 2019. "The Non-Linear Effect of Financial Support on Energy Efficiency: Evidence from China," Sustainability, MDPI, vol. 11(7), pages 1-16, April.
    106. Zhou, P. & Zhou, X. & Fan, L.W., 2014. "On estimating shadow prices of undesirable outputs with efficiency models: A literature review," Applied Energy, Elsevier, vol. 130(C), pages 799-806.
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    108. Zhou, Haibo & Yang, Yi & Chen, Yao & Zhu, Joe, 2018. "Data envelopment analysis application in sustainability: The origins, development and future directions," European Journal of Operational Research, Elsevier, vol. 264(1), pages 1-16.
    109. Manevska-Tasevska, Gordana & Hansson, Helena & Asmild, Mette & Surry, Yves, 2021. "Exploring the regional efficiency of the Swedish agricultural sector during the CAP reforms ‒ multi-directional efficiency analysis approach," Land Use Policy, Elsevier, vol. 100(C).
    110. Kai Xu & Bart Bossink & Qiang Chen, 2019. "Efficiency Evaluation of Regional Sustainable Innovation in China: A Slack-Based Measure (SBM) Model with Undesirable Outputs," Sustainability, MDPI, vol. 12(1), pages 1-21, December.
    111. Zhang, Chi & Yan, Jinyue, 2015. "CDM’s influence on technology transfers: A study of the implemented clean development mechanism projects in China," Applied Energy, Elsevier, vol. 158(C), pages 355-365.
    112. Junfei Chu & Jie Wu & Qingyuan Zhu & Qingxian An & Beibei Xiong, 2019. "Analysis of China’s Regional Eco-efficiency: A DEA Two-stage Network Approach with Equitable Efficiency Decomposition," Computational Economics, Springer;Society for Computational Economics, vol. 54(4), pages 1263-1285, December.
    113. Yongzhong Jiang & Xueli Chen & Vivian Valdmanis & Tomas Baležentis, 2019. "Evaluating Economic and Environmental Performance of the Chinese Industry Sector," Sustainability, MDPI, vol. 11(23), pages 1-17, November.
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  60. Zhi-Fu Mi & Su-Yan Pan & Hao Yu & Yi-Ming Wei, 2014. "Potential impacts of industrial structure on energy consumption and CO2 emission: a case study of Beijing," CEEP-BIT Working Papers 51, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.

    Cited by:

    1. Chen, B. & Yang, Q. & Zhou, Sili & Li, J.S. & Chen, G.Q., 2017. "Urban economy's carbon flow through external trade: Spatial-temporal evolution for Macao," Energy Policy, Elsevier, vol. 110(C), pages 69-78.
    2. Tao Yang & Rong Wang, 2023. "Research on the Impact of Green Finance and the Digital Economy on the Energy Consumption Structure in the Context of Carbon Neutrality," Sustainability, MDPI, vol. 15(22), pages 1-19, November.
    3. Zhi-Fu Mi & Yi-Ming Wei & Chen-Qi He & Hua-Nan Li & Xiao-Chen Yuan & Hua Liao, 2017. "Regional efforts to mitigate climate change in China: a multi-criteria assessment approach," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 22(1), pages 45-66, January.
    4. Wentao Lu & Zhenghui Fu & Yang Zhang & Yuxuan Qiao & Lei Yu & Yi Liu, 2021. "Integrated Planning for Regional Development Planning with Low Carbon Development Constraint under Uncertainty: A Case Study of Qingpu District, Shanghai," Sustainability, MDPI, vol. 13(19), pages 1-24, September.
    5. Zhang, Yue-Jun & Liu, Zhao & Zhou, Si-Ming & Qin, Chang-Xiong & Zhang, Huan, 2018. "The impact of China's Central Rise Policy on carbon emissions at the stage of operation in road sector," Economic Modelling, Elsevier, vol. 71(C), pages 159-173.
    6. Liangliang Liu & Yonghao Guan, 2023. "How do fiscal decentralization and intergovernmental fiscal transfers affect energy consumption in China?," Energy & Environment, , vol. 34(5), pages 1228-1242, August.
    7. Zhifu Mi & Hua Liao & D’Maris Coffman & Yi-Ming Wei, 2019. "Assessment of equity principles for international climate policy based on an integrated assessment model," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 95(1), pages 309-323, January.
    8. Wesseh, Presley K. & Lin, Boqiang, 2016. "Modeling environmental policy with and without abatement substitution: A tradeoff between economics and environment?," Applied Energy, Elsevier, vol. 167(C), pages 34-43.
    9. Lei Tian & Zhe Ding & Yongxuan Wang & Haiyan Duan & Shuo Wang & Jie Tang & Xian’en Wang, 2016. "Analysis of the Driving Factors and Contributions to Carbon Emissions of Energy Consumption from the Perspective of the Peak Volume and Time Based on LEAP," Sustainability, MDPI, vol. 8(6), pages 1-17, May.
    10. Yi-Ming Wei & Zhi-Fu Mi & Zhiming Huang, 2014. "Climate policy modeling: An online SCI-E and SSCI based literature review," CEEP-BIT Working Papers 58, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
    11. Miaomiao Liu & Yining Huang & Rosemary Hiscock & Qin Li & Jun Bi & Patrick L. Kinney & Clive E. Sabel, 2016. "Do Climate Change Policies Promote or Conflict with Subjective Wellbeing: A Case Study of Suzhou, China," IJERPH, MDPI, vol. 13(3), pages 1-16, March.
    12. Lingyun He & Fang Yin & Zhangqi Zhong & Zhihua Ding, 2017. "The impact of local government investment on the carbon emissions reduction effect: An empirical analysis of panel data from 30 provinces and municipalities in China," PLOS ONE, Public Library of Science, vol. 12(7), pages 1-20, July.

  61. Yu Hao & Yi-Ming Wei, 2014. "When does the turning point in China's CO2 emissions occur? Results based on the Green Solow Model," CEEP-BIT Working Papers 73, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.

    Cited by:

    1. Yu, Shiwei & Zheng, Shuhong & Li, Xia, 2018. "The achievement of the carbon emissions peak in China: The role of energy consumption structure optimization," Energy Economics, Elsevier, vol. 74(C), pages 693-707.
    2. Chang, Chun-Ping & Wen, Jun & Dong, Minyi & Hao, Yu, 2018. "Does government ideology affect environmental pollutions? New evidence from instrumental variable quantile regression estimations," Energy Policy, Elsevier, vol. 113(C), pages 386-400.
    3. Yong Bian & Zhi Yu & Xuelan Zeng & Jingchun Feng & Chao He, 2018. "Achieving China’s Long-Term Carbon Emission Abatement Targets: A Perspective from Regional Disparity," Sustainability, MDPI, vol. 10(11), pages 1-19, November.
    4. Hao, Yu & Wang, Ling-Ou & Lee, Chien-Chiang, 2020. "Financial development, energy consumption and China's economic growth: New evidence from provincial panel data," International Review of Economics & Finance, Elsevier, vol. 69(C), pages 1132-1151.
    5. Hao, Yu & Zhang, Zong-Yong & Yang, Chuxiao & Wu, Haitao, 2021. "Does structural labor change affect CO2 emissions? Theoretical and empirical evidence from China," Technological Forecasting and Social Change, Elsevier, vol. 171(C).
    6. Zhiyuan Gao & Lianqing Li & Yu Hao, 2024. "Financial risk under the shock of global warming: Evidence from China," Business Strategy and the Environment, Wiley Blackwell, vol. 33(2), pages 335-351, February.
    7. Wu, Ya & Zhang, Wanying, 2016. "The driving factors behind coal demand in China from 1997 to 2012: An empirical study of input-output structural decomposition analysis," Energy Policy, Elsevier, vol. 95(C), pages 126-134.
    8. Hao, Yu & Peng, Hui, 2017. "On the convergence in China's provincial per capita energy consumption: New evidence from a spatial econometric analysis," Energy Economics, Elsevier, vol. 68(C), pages 31-43.
    9. Xiao-Ying Dong & Qiying Ran & Yu Hao, 2019. "On the nonlinear relationship between energy consumption and economic development in China: new evidence from panel data threshold estimations," Quality & Quantity: International Journal of Methodology, Springer, vol. 53(4), pages 1837-1857, July.
    10. Yunwei Li & Qiuping Ji & Zijie Wang & Zishan Xiong & Simeng Zhan & Yiping Yang & Yu Hao, 2022. "Green energy mismatch, industrial intelligence and economics growth: theory and empirical evidence from China," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(10), pages 11785-11816, October.
    11. Firouz Fallahi, 2020. "Persistence and unit root in $$\text {CO}_{2}$$CO2 emissions: evidence from disaggregated global and regional data," Empirical Economics, Springer, vol. 58(5), pages 2155-2179, May.
    12. Hao, Yu & Liu, Yiming & Weng, Jia-Hsi & Gao, Yixuan, 2016. "Does the Environmental Kuznets Curve for coal consumption in China exist? New evidence from spatial econometric analysis," Energy, Elsevier, vol. 114(C), pages 1214-1223.
    13. Lu, Zhijian & Shao, Shuai, 2016. "Impacts of government subsidies on pricing and performance level choice in Energy Performance Contracting: A two-step optimal decision model," Applied Energy, Elsevier, vol. 184(C), pages 1176-1183.
    14. Wang, Ling-Ou & Wu, Haitao & Hao, Yu, 2020. "How does China's land finance affect its carbon emissions?," Structural Change and Economic Dynamics, Elsevier, vol. 54(C), pages 267-281.
    15. Liu, Yiming & Hao, Yu & Gao, Yixuan, 2017. "The environmental consequences of domestic and foreign investment: Evidence from China," Energy Policy, Elsevier, vol. 108(C), pages 271-280.
    16. Yu Hao & Zirui Huang & Haitao Wu, 2019. "Do Carbon Emissions and Economic Growth Decouple in China? An Empirical Analysis Based on Provincial Panel Data," Energies, MDPI, vol. 12(12), pages 1-15, June.
    17. Zhi-Fu Mi & Yi-Ming Wei & Bing Wang & Jing Meng & Zhu Liu & Yuli Shan & Jingru Liu & Dabo Guan, 2017. "Socioeconomic impact assessment of China's CO2 emissions peak prior to 2030," CEEP-BIT Working Papers 103, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
    18. Shobande, Olatunji A. & Ogbeifun, Lawrence, 2023. "Pooling cross-sectional and time series data for estimating causality between technological innovation, affluence and carbon dynamics: A comparative evidence from developed and developing countries," Technological Forecasting and Social Change, Elsevier, vol. 187(C).

  62. Bangzhu Zhu & Ping Wang & Julien Chevallier & Yiming Wei, 2014. "Carbon price analysis using empirical mode decomposition," Working Papers 2014-156, Department of Research, Ipag Business School.

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    1. Zhu, Bangzhu & Ye, Shunxin & Han, Dong & Wang, Ping & He, Kaijian & Wei, Yi-Ming & Xie, Rui, 2019. "A multiscale analysis for carbon price drivers," Energy Economics, Elsevier, vol. 78(C), pages 202-216.
    2. Bangzhu Zhu & Shujiao Ma & Rui Xie & Julien Chevallier & Yi-Ming Wei, 2018. "Hilbert Spectra and Empirical Mode Decomposition: A Multiscale Event Analysis Method to Detect the Impact of Economic Crises on the European Carbon Market," Post-Print halshs-04250160, HAL.
    3. Zied Ftiti & Aviral Tiwari & Amél Belanès & Khaled Guesmi, 2014. "Tests of Financial Market Contagion: Evolutionary Cospectral Analysis V.S. Wavelet Analysis," Working Papers 2014-577, Department of Research, Ipag Business School.
    4. Tian, Hu & Zheng, Xiaolong & Zeng, Daniel Danjun, 2019. "Analyzing the dynamic sectoral influence in Chinese and American stock markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 536(C).
    5. Jihong Xiao & Xuehong Zhu & Chuangxia Huang & Xiaoguang Yang & Fenghua Wen & Meirui Zhong, 2019. "A New Approach for Stock Price Analysis and Prediction Based on SSA and SVM," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 18(01), pages 287-310, January.
    6. Mehmet Balcilar & Riza Demirer & Shawkat Hammoudeh & Duc Khuong Nguyen, 2014. "Risk Spillovers across the Energy and Carbon Markets and Hedging Strategies for Carbon Risk," Working Papers 15-10, Eastern Mediterranean University, Department of Economics.
    7. Zhou, Jie & Sun, Mei & Han, Dun & Gao, Cuixia, 2021. "Analysis of oil price fluctuation under the influence of crude oil stocks and US dollar index — Based on time series network model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 582(C).
    8. Yelin Wang & Ping Yang & Zan Song & Julien Chevallier & Qingtai Xiao, 2024. "Intelligent Prediction of Annual CO2 Emissions Under Data Decomposition Mode," Computational Economics, Springer;Society for Computational Economics, vol. 63(2), pages 711-740, February.
    9. Jamal Bouoiyour & Refk Selmi & Aviral Kumar Tiwari & Olaolu Richard Olayeni, 2015. "What Determines Bitcoin’s Value?," Working papers of CATT hal-01880330, HAL.
    10. Xu, Jia & Tan, Xiujie & He, Gang & Liu, Yu, 2019. "Disentangling the drivers of carbon prices in China's ETS pilots — An EEMD approach," Technological Forecasting and Social Change, Elsevier, vol. 139(C), pages 1-9.
    11. Guoqiang Sun & Tong Chen & Zhinong Wei & Yonghui Sun & Haixiang Zang & Sheng Chen, 2016. "A Carbon Price Forecasting Model Based on Variational Mode Decomposition and Spiking Neural Networks," Energies, MDPI, vol. 9(1), pages 1-16, January.
    12. Dai, Xingyu & Xiao, Ling & Wang, Qunwei & Dhesi, Gurjeet, 2021. "Multiscale interplay of higher-order moments between the carbon and energy markets during Phase III of the EU ETS," Energy Policy, Elsevier, vol. 156(C).
    13. Yongrok Choi & Yunning Ma & Yu Zhao & Hyoungsuk Lee, 2023. "Inequality in Fossil Fuel Power Plants in China: A Perspective of Efficiency and Abatement Cost," Sustainability, MDPI, vol. 15(5), pages 1-15, March.
    14. Andreas Karpf & Antoine Mandel & Stefano Battiston, 2018. "Price and network dynamics in the European carbon market," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-01905985, HAL.
    15. Chang-Jing Ji & Xiao-Yi Li & Yu-Jie Hu & Xiang-Yu Wang & Bao-Jun Tang, 2019. "Research on carbon price in emissions trading scheme: a bibliometric analysis," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 99(3), pages 1381-1396, December.
    16. Liu, Shuihan & Xie, Gang & Wang, Zhengzhong & Wang, Shouyang, 2024. "A secondary decomposition-ensemble framework for interval carbon price forecasting," Applied Energy, Elsevier, vol. 359(C).
    17. Tiwari, Aviral Kumar & Dar, Arif Billah & Bhanja, Niyati & Gupta, Rangan, 2016. "A historical analysis of the US stock price index using empirical mode decomposition over 1791-2015," Economics Discussion Papers 2016-9, Kiel Institute for the World Economy (IfW Kiel).
    18. Jianguo Zhou & Xuechao Yu & Xiaolei Yuan, 2018. "Predicting the Carbon Price Sequence in the Shenzhen Emissions Exchange Using a Multiscale Ensemble Forecasting Model Based on Ensemble Empirical Mode Decomposition," Energies, MDPI, vol. 11(7), pages 1-17, July.
    19. Quande Qin & Huangda He & Li Li & Ling-Yun He, 2020. "A Novel Decomposition-Ensemble Based Carbon Price Forecasting Model Integrated with Local Polynomial Prediction," Computational Economics, Springer;Society for Computational Economics, vol. 55(4), pages 1249-1273, April.
    20. Cao, Guangxi & Xu, Wei, 2016. "Multifractal features of EUA and CER futures markets by using multifractal detrended fluctuation analysis based on empirical model decomposition," Chaos, Solitons & Fractals, Elsevier, vol. 83(C), pages 212-222.
    21. Wen, Fenghua & Wu, Nan & Gong, Xu, 2020. "China's carbon emissions trading and stock returns," Energy Economics, Elsevier, vol. 86(C).
    22. Zhu, Bangzhu & Han, Dong & Chevallier, Julien & Wei, Yi-Ming, 2017. "Dynamic multiscale interactions between European carbon and electricity markets during 2005–2016," Energy Policy, Elsevier, vol. 107(C), pages 309-322.
    23. Niu, Hongli & Hu, Ziang, 2021. "Information transmission and entropy-based network between Chinese stock market and commodity futures market," Resources Policy, Elsevier, vol. 74(C).
    24. Chang-Jing Ji & Yu-Jie Hu & Bao-Jun Tang, 2018. "Research on carbon market price mechanism and influencing factors: a literature review," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 92(2), pages 761-782, June.
    25. Zhu, Bangzhu & Ye, Shunxin & Wang, Ping & He, Kaijian & Zhang, Tao & Wei, Yi-Ming, 2018. "A novel multiscale nonlinear ensemble leaning paradigm for carbon price forecasting," Energy Economics, Elsevier, vol. 70(C), pages 143-157.
    26. Yu, Lean & Li, Jingjing & Tang, Ling & Wang, Shuai, 2015. "Linear and nonlinear Granger causality investigation between carbon market and crude oil market: A multi-scale approach," Energy Economics, Elsevier, vol. 51(C), pages 300-311.
    27. Bangzhu Zhu & Shunxin Ye & Kaijian He & Julien Chevallier & Rui Xie, 2019. "Measuring the risk of European carbon market: an empirical mode decomposition-based value at risk approach," Annals of Operations Research, Springer, vol. 281(1), pages 373-395, October.
    28. Liu, Ying Lin & Zhang, Jing Jie & Fang, Yan, 2023. "The driving factors of China's carbon prices: Evidence from using ICEEMDAN-HC method and quantile regression," Finance Research Letters, Elsevier, vol. 54(C).
    29. Yanzhi Duan & Chunlei He & Li Yao & Yue Wang & Nan Tang & Zhong Wang, 2023. "Research on Risk Measurement of China’s Carbon Trading Market," Energies, MDPI, vol. 16(23), pages 1-28, December.
    30. Hanmin Dong & Xiujie Tan & Si Cheng & Yishuang Liu, 2023. "COVID-19, recovery policies and the resilience of EU ETS," Economic Change and Restructuring, Springer, vol. 56(5), pages 2965-2991, October.
    31. Chen, Linfei & Zhao, Xuefeng, 2024. "A multiscale and multivariable differentiated learning for carbon price forecasting," Energy Economics, Elsevier, vol. 131(C).
    32. Zhou, Feite & Huang, Zhehao & Zhang, Changhong, 2022. "Carbon price forecasting based on CEEMDAN and LSTM," Applied Energy, Elsevier, vol. 311(C).
    33. Bangzhu Zhu & Ping Wang & Julien Chevallier & Yi‐Ming Wei, 2023. "Enriching the value‐at‐risk framework to ensemble empirical mode decomposition with an application to the European carbon market," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 28(3), pages 2975-2988, July.
    34. Ramón Egea Pérez & Mónica Cortés-Molina & Francisco J. Navarro-González, 2021. "Analysis of Rainfall Time Series with Application to Calculation of Return Periods," Sustainability, MDPI, vol. 13(14), pages 1-18, July.

  63. Hao Yu & Bing Wang & Yue-Jun Zhang & Yi-Ming Wei, 2013. "Public perception of climate change in China: Results from the questionnaire survey," CEEP-BIT Working Papers 42, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.

    Cited by:

    1. Emőke Kiss & Dániel Balla & András Donát Kovács, 2022. "Characteristics of Climate Concern—Attitudes and Personal Actions—A Case Study of Hungarian Settlements," Sustainability, MDPI, vol. 14(9), pages 1-22, April.
    2. Hou, Lingling & Min, Shi & Huang, Qiuqiong & Huang, Jikun, 2023. "Farmers' perceptions of drought-severity and the impacts on ex-ante and ex-post adaptations to droughts: Evidence from maize farmers in China," Agricultural Water Management, Elsevier, vol. 279(C).
    3. Shah Md. Atiqul Haq & Khandaker Jafor Ahmed, 2017. "Does the perception of climate change vary with the socio-demographic dimensions? A study on vulnerable populations in Bangladesh," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 85(3), pages 1759-1785, February.
    4. Shi Min & Xiaobing Wang & Shaoze Jin & Hermann Waibel & Jikun Huang, 2020. "Climate change and farmers’ perceptions: impact on rubber farming in the upper Mekong region," Climatic Change, Springer, vol. 163(1), pages 451-480, November.
    5. Upendra Bom & John Tiefenbacher & Shashidhar Belbase, 2023. "Individual and community perceptions of climate change in Lower Mustang, Nepal," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(7), pages 5997-6031, July.
    6. Yeheng Pan & Yu Xie & Hepeng Jia & Xi Luo, 2022. "Ideologies, Conspiracy Beliefs, and the Chinese Public’s Politicized Attitudes to Climate Change," Sustainability, MDPI, vol. 15(1), pages 1-14, December.
    7. Hussey, Lucia Kafui & Arku, Godwin, 2019. "Conceptualizations of climate-related health risks among health experts and the public in Ghana," Social Science & Medicine, Elsevier, vol. 223(C), pages 40-50.
    8. Batanai Sammie & Elvis Mupfiga & Liboster Mwadzingeni & Tavengwa Chitata & Raymond Mugandani, 2021. "A gendered lens to self-evaluated and actual climate change knowledge," Journal of Environmental Studies and Sciences, Springer;Association of Environmental Studies and Sciences, vol. 11(1), pages 65-75, March.
    9. Joachim Schleich & Elisabeth Dütschke & Claudia Schwirplies & Andreas Ziegler, 2014. "Citizens’ perceptions of justice in international climate policy – An empirical analysis," MAGKS Papers on Economics 201410, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
    10. Peng Cheng & Jiuchang Wei & Yue Ge, 2017. "Who should be blamed? The attribution of responsibility for a city smog event in China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 85(2), pages 669-689, January.
    11. Mufti Nadimul Quamar Ahmed & Shah Md. Atiqul Haq, 2019. "Indigenous people’s perceptions about climate change, forest resource management, and coping strategies: a comparative study in Bangladesh," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 21(2), pages 679-708, April.
    12. Hao Yu & Yi-Ming Wei & Bao-Jun Tang & Zhifu Mi & Su-Yan Pan, 2017. "Assessment on the research trend of low-carbon energy technology investment: A bibliometric analysis," CEEP-BIT Working Papers 106, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
    13. Schleich, Joachim & Dütschke, Elisabeth & Schwirplies, Claudia & Ziegler, Andreas, 2014. "Citizens' perceptions of justice in international climate policy: Empirical insights from China, Germany and the US," Working Papers "Sustainability and Innovation" S2/2014, Fraunhofer Institute for Systems and Innovation Research (ISI).
    14. Naveen Chandra Joshi & G. S. Rawat, 2021. "An integrated approach for the identification and prioritization of areas based on their livelihood vulnerability index: a case study of agro-pastoral community from Western Indian Himalaya," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 26(6), pages 1-36, August.
    15. Hou, L. & Min, S. & Huang, Q. & Huang, J., 2018. "Farmers perceptions of, ex ante and ex post adaptations to drought: Empirical evidence from maize farmers in China," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 277208, International Association of Agricultural Economists.
    16. Muhammad Waqas Farooq & Abdul Rauf & Dr. Raja Irfan Sabir & Faiza Nawaz, 2024. "How do Social Media Platforms Shape the Public Perception and Support of Policy Issues and Initiatives in Climate Change?," Bulletin of Business and Economics (BBE), Research Foundation for Humanity (RFH), vol. 13(2), pages 1018-1025.
    17. Farman Ullah & Shahab E. Saqib & Mokbul Morshed Ahmad & Mahmoud Ali Fadlallah, 2020. "Flood risk perception and its determinants among rural households in two communities in Khyber Pakhtunkhwa, Pakistan," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 104(1), pages 225-247, October.
    18. Muhammad Suleman Bacha & Muhammad Muhammad & Zeyneb Kılıç & Muhammad Nafees, 2021. "The Dynamics of Public Perceptions and Climate Change in Swat Valley, Khyber Pakhtunkhwa, Pakistan," Sustainability, MDPI, vol. 13(8), pages 1-22, April.
    19. Yeheng Pan & Yu Xie & Hepeng Jia & Xi Luo & Ruifen Zhang, 2022. "Lower Carbon, Stronger Nation: Exploring Sociopolitical Determinants for the Chinese Public’s Climate Attitudes," IJERPH, MDPI, vol. 20(1), pages 1-13, December.
    20. Robert Becker Pickson & Ge He, 2021. "Smallholder Farmers’ Perceptions, Adaptation Constraints, and Determinants of Adaptive Capacity to Climate Change in Chengdu," SAGE Open, , vol. 11(3), pages 21582440211, July.
    21. Shibly Shahrier & Koji Kotani & Yoshinori Nakagawa, 2021. "Cooperation on climate change and ongoing urbanization," Working Papers SDES-2021-8, Kochi University of Technology, School of Economics and Management, revised Sep 2021.
    22. Zewen Hu & Xiaocai Zhang & Jingjing Cui & Lijie Zhang & Wasim Ahmed, 2021. "A survey-based analysis of the public’s willingness for disaster relief in China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 107(3), pages 2205-2225, July.

  64. Qiao-Mei Liang & Yun-Fei Yao & Lu-Tao Zhao & Ce Wang & Rui-Guang Yang & Yi-Ming Wei, 2013. "Platform for China Energy & Environmental Policy Analysis: A general design and its application," CEEP-BIT Working Papers 43, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.

    Cited by:

    1. Cai, Yiyong & Newth, David & Finnigan, John & Gunasekera, Don, 2015. "A hybrid energy-economy model for global integrated assessment of climate change, carbon mitigation and energy transformation," Applied Energy, Elsevier, vol. 148(C), pages 381-395.
    2. Lin Yang & Yunfei Yao & Jiutian Zhang & Xian Zhang & Karl J. McAlinden, 2016. "A CGE analysis of carbon market impact on CO2 emission reduction in China: a technology-led approach," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 81(2), pages 1107-1128, March.
    3. Yinger Zheng & Haixia Zheng & Xinyue Ye, 2016. "Using Machine Learning in Environmental Tax Reform Assessment for Sustainable Development: A Case Study of Hubei Province, China," Sustainability, MDPI, vol. 8(11), pages 1-20, November.
    4. Yun-Fei Yao & Qiao-Mei Liang, 2016. "Approaches to carbon allowance allocation in China: a computable general equilibrium analysis," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 84(1), pages 333-351, November.
    5. Lin Yang & Yunfei Yao & Jiutian Zhang & Xian Zhang & Karl McAlinden, 2016. "A CGE analysis of carbon market impact on CO 2 emission reduction in China: a technology-led approach," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 81(2), pages 1107-1128, March.
    6. Qian Wang & Qiao-Mei Liang, 2015. "Will a carbon tax hinder China’s efforts to improve its primary income distribution status?," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 20(8), pages 1407-1436, December.

  65. Xiao-Chen Yuan & Qian Wang & Ke Wang & Bing Wang & Ju-Liang Jin & Yi-Ming Wei, 2013. "China's regional vulnerability to drought and its mitigation strategies under climate change: Data envelopment analysis and analytic hierarchy process integrated approach," CEEP-BIT Working Papers 44, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.

    Cited by:

    1. Bing Wang & Su-Yan Pan & Ruo-Yu Ke & Ke Wang & Yi-Ming Wei, 2014. "An overview of climate change vulnerability: a bibliometric analysis based on Web of Science database," CEEP-BIT Working Papers 62, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
    2. Itziar González Tánago & Julia Urquijo & Veit Blauhut & Fermín Villarroya & Lucia De Stefano, 2016. "Learning from experience: a systematic review of assessments of vulnerability to drought," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 80(2), pages 951-973, January.
    3. Wang, Bing & Nistor, Ioan & Murty, Tad & Wei, Yi-Ming, 2014. "Efficiency assessment of hydroelectric power plants in Canada: A multi criteria decision making approach," Energy Economics, Elsevier, vol. 46(C), pages 112-121.
    4. Mariya Aleksandrova & Animesh K. Gain & Carlo Giupponi, 2016. "Assessing agricultural systems vulnerability to climate change to inform adaptation planning: an application in Khorezm, Uzbekistan," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 21(8), pages 1263-1287, December.
    5. Xiao-Chen Yuan & Bao-Jun Tang & Yi-Ming Wei & Xiao-Jie Liang & Hao Yu & Ju-Liang Jin, 2015. "China’s regional drought risk under climate change: a two-stage process assessment approach," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 76(1), pages 667-684, March.
    6. Mingze Li & Jun Lv & Xin Chen & Nan Jiang, 2015. "Provincial evaluation of vulnerability to geological disaster in China and its influencing factors: a three-stage DEA-based analysis," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 79(3), pages 1649-1662, December.
    7. Jiansheng Wu & Xin Lin & Meijuan Wang & Jian Peng & Yuanjie Tu, 2017. "Assessing Agricultural Drought Vulnerability by a VSD Model: A Case Study in Yunnan Province, China," Sustainability, MDPI, vol. 9(6), pages 1-16, May.
    8. Shih-Heng Yu & Yu Gao & Yih-Chearng Shiue, 2017. "A Comprehensive Evaluation of Sustainable Development Ability and Pathway for Major Cities in China," Sustainability, MDPI, vol. 9(8), pages 1-15, August.
    9. Itziar González Tánago & Julia Urquijo & Veit Blauhut & Fermín Villarroya & Lucia De Stefano, 2016. "Learning from experience: a systematic review of assessments of vulnerability to drought," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 80(2), pages 951-973, January.

  66. Ke Wang & Shiwei Yu & Mo-Jie Li & Yi-Ming Wei, 2013. "Multi-directional efficiency analysis-based regional industrial environmental performance evaluation of China," CEEP-BIT Working Papers 47, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.

    Cited by:

    1. Qianwen Li & Ruyin Long & Hong Chen & Feiyu Chen & Xiu Cheng, 2019. "Chinese urban resident willingness to pay for green housing based on double-entry mental accounting theory," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 95(1), pages 129-153, January.
    2. Jiawei Yang, 2023. "Disentangling the sources of bank inefficiency: a two-stage network multi-directional efficiency analysis approach," Annals of Operations Research, Springer, vol. 326(1), pages 369-410, July.
    3. Jia-Yin Yin & Yun-Fei Cao & Bao-Jun Tang, 2019. "Fairness of China’s provincial energy environment efficiency evaluation: empirical analysis using a three-stage data envelopment analysis model," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 95(1), pages 343-362, January.
    4. Manevska-Tasevska, Gordana & Hansson, Helena & Asmild, Mette & Surry, Yves, 2021. "Exploring the regional efficiency of the Swedish agricultural sector during the CAP reforms ‒ multi-directional efficiency analysis approach," Land Use Policy, Elsevier, vol. 100(C).
    5. Zhu, Ning & Wu, Yanrui & Wang, Bing & Yu, Zhiqian, 2019. "Risk preference and efficiency in Chinese banking," China Economic Review, Elsevier, vol. 53(C), pages 324-341.

  67. Bing Wang & Xiao-Jie Liang & Hao Zhang & Lu Wang & Yi-Ming Wei, 2012. "Vulnerability of hydropower generation to climate change in China: Results based on Grey forecasting model," CEEP-BIT Working Papers 33, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.

    Cited by:

    1. Berna Tektas Sivrikaya & Ferhan Cebi & Hasan Hüseyin Turan & Nihat Kasap & Dursun Delen, 2017. "A fuzzy long-term investment planning model for a GenCo in a hybrid electricity market considering climate change impacts," Information Systems Frontiers, Springer, vol. 19(5), pages 975-991, October.
    2. Wang, Bing & Wang, Qian & Wei, Yi-Ming & Li, Zhi-Ping, 2018. "Role of renewable energy in China’s energy security and climate change mitigation: An index decomposition analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 90(C), pages 187-194.
    3. Chen, Hao & Liu, Simin & Liu, Qiufeng & Shi, Xueli & Wei, Wendong & Han, Rong & Küfeoğlu, Sinan, 2021. "Estimating the impacts of climate change on electricity supply infrastructure: A case study of China," Energy Policy, Elsevier, vol. 150(C).
    4. Li, Yun & Li, Yanbin & Ji, Pengfei & Yang, Jing, 2015. "The status quo analysis and policy suggestions on promoting China׳s hydropower development," Renewable and Sustainable Energy Reviews, Elsevier, vol. 51(C), pages 1071-1079.
    5. Wang, Lu & Wei, Yi-Ming & Brown, Marilyn A., 2017. "Global transition to low-carbon electricity: A bibliometric analysis," Applied Energy, Elsevier, vol. 205(C), pages 57-68.
    6. Bing Wang & Hua-Nan Li & Xiao-Chen Yuan & Zhen-Ming Sun, 2017. "Energy Poverty in China: A Dynamic Analysis Based on a Hybrid Panel Data Decision Model," Energies, MDPI, vol. 10(12), pages 1-14, November.
    7. Bing Wang & Su-Yan Pan & Ruo-Yu Ke & Ke Wang & Yi-Ming Wei, 2014. "An overview of climate change vulnerability: a bibliometric analysis based on Web of Science database," CEEP-BIT Working Papers 62, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
    8. Wang, Bing & Nistor, Ioan & Murty, Tad & Wei, Yi-Ming, 2014. "Efficiency assessment of hydroelectric power plants in Canada: A multi criteria decision making approach," Energy Economics, Elsevier, vol. 46(C), pages 112-121.
    9. Li Sun & Xiaoyu Zhou & Alun Gu, 2022. "Effects of Climate Change on Hydropower Generation in China Based on a WEAP Model," Sustainability, MDPI, vol. 14(9), pages 1-14, May.
    10. Jia, Shuwei & Liu, Xiaolu & Yan, Guangle, 2019. "Effect of APCF policy on the haze pollution in China: A system dynamics approach," Energy Policy, Elsevier, vol. 125(C), pages 33-44.
    11. Joshua Sunday Riti & Deyong Song & Yang Shu & Miriam Kamah & Agya Adi Atabani, 2018. "Does renewable energy ensure environmental quality in favour of economic growth? Empirical evidence from China’s renewable development," Quality & Quantity: International Journal of Methodology, Springer, vol. 52(5), pages 2007-2030, September.
    12. Berna Tektas Sivrikaya & Ferhan Cebi & Hasan Hüseyin Turan & Nihat Kasap & Dursun Delen, 0. "A fuzzy long-term investment planning model for a GenCo in a hybrid electricity market considering climate change impacts," Information Systems Frontiers, Springer, vol. 0, pages 1-17.
    13. Ding, Yuanping & Dang, Yaoguo, 2023. "Forecasting renewable energy generation with a novel flexible nonlinear multivariable discrete grey prediction model," Energy, Elsevier, vol. 277(C).
    14. Bing Wang & Ruo-Yu Ke & Xiao-Chen Yuan & Yi-Ming Wei, 2014. "China's regional assessment of renewable energy vulnerability to climate change," CEEP-BIT Working Papers 52, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
    15. Tarroja, Brian & AghaKouchak, Amir & Samuelsen, Scott, 2016. "Quantifying climate change impacts on hydropower generation and implications on electric grid greenhouse gas emissions and operation," Energy, Elsevier, vol. 111(C), pages 295-305.
    16. Acaroğlu, Hakan & Güllü, Mustafa, 2022. "Climate change caused by renewable and non-renewable energy consumption and economic growth: A time series ARDL analysis for Turkey," Renewable Energy, Elsevier, vol. 193(C), pages 434-447.
    17. Turner, Sean W.D. & Hejazi, Mohamad & Kim, Son H. & Clarke, Leon & Edmonds, Jae, 2017. "Climate impacts on hydropower and consequences for global electricity supply investment needs," Energy, Elsevier, vol. 141(C), pages 2081-2090.
    18. Zeng, Ming & Yang, Yongqi & Fan, Qiannan & Liu, Yingxin & Zou, Zhuojun, 2015. "Coordination between clean energy generation and thermal power generation under the policy of “direct power-purchase for large users” in China," Utilities Policy, Elsevier, vol. 33(C), pages 10-22.
    19. Sun, Mingxing & Xu, Xiangbo & Wang, Le & Li, Chang & Zhang, Linxiu, 2021. "Stable energy, energy inequality, and climate change vulnerability in Pan-Third Pole regions: Empirical analysis in cross-national rural areas," Renewable and Sustainable Energy Reviews, Elsevier, vol. 147(C).
    20. Wang, Yongpei & Yan, Weilong & Zhuang, Shangwen & Zhang, Qian, 2019. "Competition or complementarity ? The hydropower and thermal power nexus in China," Renewable Energy, Elsevier, vol. 138(C), pages 531-541.
    21. Kelly-Richards, Sarah & Silber-Coats, Noah & Crootof, Arica & Tecklin, David & Bauer, Carl, 2017. "Governing the transition to renewable energy: A review of impacts and policy issues in the small hydropower boom," Energy Policy, Elsevier, vol. 101(C), pages 251-264.
    22. Chang, Jianxia & Wang, Xiaoyu & Li, Yunyun & Wang, Yimin & Zhang, Hongxue, 2018. "Hydropower plant operation rules optimization response to climate change," Energy, Elsevier, vol. 160(C), pages 886-897.
    23. Xiong, Ping-ping & Dang, Yao-guo & Yao, Tian-xiang & Wang, Zheng-xin, 2014. "Optimal modeling and forecasting of the energy consumption and production in China," Energy, Elsevier, vol. 77(C), pages 623-634.
    24. Karadede, Yusuf & Ozdemir, Gultekin & Aydemir, Erdal, 2017. "Breeder hybrid algorithm approach for natural gas demand forecasting model," Energy, Elsevier, vol. 141(C), pages 1269-1284.

  68. Hua Liao & Yi-Ming Wei, 2012. "Will the aggregation approach affect energy efficiency performance assessment?," CEEP-BIT Working Papers 30, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.

    Cited by:

    1. Wang, Bing & Wang, Qian & Wei, Yi-Ming & Li, Zhi-Ping, 2018. "Role of renewable energy in China’s energy security and climate change mitigation: An index decomposition analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 90(C), pages 187-194.
    2. Liu, Qilu & Cheng, Kaiming & Zhuang, Yanjie, 2022. "Estimation of city energy consumption in China based on downscaling energy balance tables," Energy, Elsevier, vol. 256(C).
    3. Wu, Kaiyao & Shi, Jiyuan & Yang, Tinggan, 2017. "Has energy efficiency performance improved in China?—non-energy sectors evidence from sequenced hybrid energy use tables," Energy Economics, Elsevier, vol. 67(C), pages 169-181.
    4. Chen, Zhan-Ming, 2014. "Inflationary effect of coal price change on the Chinese economy," Applied Energy, Elsevier, vol. 114(C), pages 301-309.
    5. Milin Lu & Zhaohua Wang, 2017. "Rebound effects for residential electricity use in urban China: an aggregation analysis based E-I-O and scenario simulation," Annals of Operations Research, Springer, vol. 255(1), pages 525-546, August.

  69. Shiwei Yu & Yi-Ming Wei & Ke Wang, 2012. "Provincial allocation of carbon emission reduction targets in China: An approach based on improved fuzzy cluster and Shapley value decomposition," CEEP-BIT Working Papers 31, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.

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    1. Zhou, P. & Wang, M., 2016. "Carbon dioxide emissions allocation: A review," Ecological Economics, Elsevier, vol. 125(C), pages 47-59.
    2. Jiekun Song & Rui Chen & Xiaoping Ma, 2021. "Collaborative Allocation of Energy Consumption, Air Pollutants and CO 2 Emissions in China," Sustainability, MDPI, vol. 13(16), pages 1-17, August.
    3. Li, Yan & Wei, Yigang & Zhang, Xiaoling & Tao, Yuan, 2020. "Regional and provincial CO2 emission reduction task decomposition of China's 2030 carbon emission peak based on the efficiency, equity and synthesizing principles," Structural Change and Economic Dynamics, Elsevier, vol. 53(C), pages 237-256.
    4. Yu, Shiwei & Zhang, Junjie & Zheng, Shuhong & Sun, Han, 2015. "Provincial carbon intensity abatement potential estimation in China: A PSO–GA-optimized multi-factor environmental learning curve method," Energy Policy, Elsevier, vol. 77(C), pages 46-55.
    5. Gong, Bing & Zheng, Xiaochen & Guo, Qing & Ordieres-Meré, Joaquín, 2019. "Discovering the patterns of energy consumption, GDP, and CO2 emissions in China using the cluster method," Energy, Elsevier, vol. 166(C), pages 1149-1167.
    6. Yu, Anyu & Lee, Andy & Chen, Yao, 2021. "Carbon allocation targeting with abatement capability: A firm-level study," International Journal of Production Economics, Elsevier, vol. 235(C).
    7. Xi Jin & Bin Zou & Chan Wang & Kaifeng Rao & Xiaowen Tang, 2019. "Carbon Emission Allocation in a Chinese Province-Level Region Based on Two-Stage Network Structures," Sustainability, MDPI, vol. 11(5), pages 1-24, March.
    8. Sun, Hongye & Kim, Giseung, 2021. "The composite impact of ICT industry on lowering carbon intensity: From the perspective of regional heterogeneity," Technology in Society, Elsevier, vol. 66(C).
    9. Xu, Xiaoping & Zhang, Mengying & Chen, Lai & Yu, Yugang, 2022. "The region-cap allocation and delivery time decision in the marketplace mode under the cap-and-trade regulation," International Journal of Production Economics, Elsevier, vol. 247(C).
    10. Zhaohua Wang & Wei Liu & Jianhua Yin, 2015. "Driving forces of indirect carbon emissions from household consumption in China: an input–output decomposition analysis," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 75(2), pages 257-272, February.
    11. Yong Bian & Zhi Yu & Xuelan Zeng & Jingchun Feng & Chao He, 2018. "Achieving China’s Long-Term Carbon Emission Abatement Targets: A Perspective from Regional Disparity," Sustainability, MDPI, vol. 10(11), pages 1-19, November.
    12. Bin Ye & Jingjing Jiang & Lixin Miao & Ji Li & Yang Peng, 2015. "Innovative Carbon Allowance Allocation Policy for the Shenzhen Emission Trading Scheme in China," Sustainability, MDPI, vol. 8(1), pages 1-23, December.
    13. Yu, Shiwei & Agbemabiese, Lawrence & Zhang, Junjie, 2016. "Estimating the carbon abatement potential of economic sectors in China," Applied Energy, Elsevier, vol. 165(C), pages 107-118.
    14. Lu, Shibao & Wang, Jianhua & Shang, Yizi & Bao, Haijun & Chen, Huixiong, 2017. "Potential assessment of optimizing energy structure in the city of carbon intensity target," Applied Energy, Elsevier, vol. 194(C), pages 765-773.
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    16. de Andrés Sánchez, Jorge & Belzunegui Eraso, Ángel Gabriel & Valls Fonayet, Francesc, 2020. "Evaluación de la eficiencia del gasto social en los países EU15 con análisis envolvente de datos y métodos cluster borrosos || Evaluation of the efficiency of social spending in EU15 countries with da," Revista de Métodos Cuantitativos para la Economía y la Empresa = Journal of Quantitative Methods for Economics and Business Administration, Universidad Pablo de Olavide, Department of Quantitative Methods for Economics and Business Administration, vol. 30(1), pages 97-116, December.
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    18. Yanbin Li & Zhen Li & Min Wu & Feng Zhang & Gejirifu De, 2018. "Regional-Level Allocation of CO 2 Emission Permits in China: Evidence from the Boltzmann Distribution Method," Sustainability, MDPI, vol. 10(8), pages 1-16, July.
    19. Zhang, Yue-Jun & Wang, Ao-Dong & Da, Ya-Bin, 2014. "Regional allocation of carbon emission quotas in China: Evidence from the Shapley value method," Energy Policy, Elsevier, vol. 74(C), pages 454-464.
    20. Yue-Jun Zhang & Zhao Liu & Huan Zhang & Tai-De Tan, 2014. "The impact of economic growth, industrial structure and urbanization on carbon emission intensity in China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 73(2), pages 579-595, September.
    21. Yong Wang & Han Zhao & Fumei Duan & Ying Wang, 2018. "Initial Provincial Allocation and Equity Evaluation of China’s Carbon Emission Rights—Based on the Improved TOPSIS Method," Sustainability, MDPI, vol. 10(4), pages 1-27, March.
    22. Yongjun Li & Wenhui Hou & Weiwei Zhu & Feng Li & Liang Liang, 2021. "Provincial carbon emission performance analysis in China based on a Malmquist data envelopment analysis approach with fixed-sum undesirable outputs," Annals of Operations Research, Springer, vol. 304(1), pages 233-261, September.
    23. Zhong-Hua Tian & Ze-Liang Yang, 2016. "Scenarios of Carbon Emissions from the Power Sector in Guangdong Province," Sustainability, MDPI, vol. 8(9), pages 1-14, August.
    24. Baochen Yang & Chuanze Liu & Yunpeng Su & Xin Jing, 2017. "The Allocation of Carbon Intensity Reduction Target by 2020 among Industrial Sectors in China," Sustainability, MDPI, vol. 9(1), pages 1-19, January.
    25. Fang, Kai & Zhang, Qifeng & Long, Yin & Yoshida, Yoshikuni & Sun, Lu & Zhang, Haoran & Dou, Yi & Li, Shuai, 2019. "How can China achieve its Intended Nationally Determined Contributions by 2030? A multi-criteria allocation of China’s carbon emission allowance," Applied Energy, Elsevier, vol. 241(C), pages 380-389.
    26. Li, Zhengda & Zheng, Chengxin & Liu, Aimin & Yang, Yang & Yuan, Xiaoling, 2022. "Environmental taxes, green subsidies, and cleaner production willingness: Evidence from China's publicly traded companies," Technological Forecasting and Social Change, Elsevier, vol. 183(C).
    27. Zhi Li & Ruyi Yan & Zuo Zhang & Yue Sun & Xiaogang Zhang, 2021. "The Effects of City-County Mergers on Urban Energy Intensity: Empirical Evidence from Chinese Cities," IJERPH, MDPI, vol. 18(16), pages 1-24, August.
    28. Yali Zhang & Yihan Wang & Xiaoshu Hou, 2019. "Carbon Mitigation for Industrial Sectors in the Jing-Jin-Ji Urban Agglomeration, China," Sustainability, MDPI, vol. 11(22), pages 1-13, November.
    29. Zhang, Kun & Zhang, Zong-Yong & Liang, Qiao-Mei, 2017. "An empirical analysis of the green paradox in China: From the perspective of fiscal decentralization," Energy Policy, Elsevier, vol. 103(C), pages 203-211.
    30. Yang, Lisha & Li, Yutianhao & Liu, Hongxun, 2021. "Did carbon trade improve green production performance? Evidence from China," Energy Economics, Elsevier, vol. 96(C).
    31. Hu, Xing & Guo, Yingying & Zheng, Yali & Liu, Lan-cui & Yu, Shiwei, 2022. "Which types of policies better promote the development of renewable energy? Evidence from China's provincial data," Renewable Energy, Elsevier, vol. 198(C), pages 1373-1382.
    32. Qingyou Yan & Yaxian Wang & Tomas Baležentis & Yikai Sun & Dalia Streimikiene, 2018. "Energy-Related CO 2 Emission in China’s Provincial Thermal Electricity Generation: Driving Factors and Possibilities for Abatement," Energies, MDPI, vol. 11(5), pages 1-25, April.
    33. Yue-Jun Zhang & Jun-Fang Hao, 2015. "The allocation of carbon emission intensity reduction target by 2020 among provinces in China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 79(2), pages 921-937, November.
    34. Xie, Qiwei & Hu, Ping & Jiang, An & Li, Yongjun, 2019. "Carbon emissions allocation based on satisfaction perspective and data envelopment analysis," Energy Policy, Elsevier, vol. 132(C), pages 254-264.
    35. Tang, Ling & Wu, Jiaqian & Yu, Lean & Bao, Qin, 2015. "Carbon emissions trading scheme exploration in China: A multi-agent-based model," Energy Policy, Elsevier, vol. 81(C), pages 152-169.
    36. Jiang, Jingjing & Xie, Dejun & Ye, Bin & Shen, Bo & Chen, Zhanming, 2016. "Research on China’s cap-and-trade carbon emission trading scheme: Overview and outlook," Applied Energy, Elsevier, vol. 178(C), pages 902-917.
    37. Feng, Zhiying & Tang, Wenhu & Niu, Zhewen & Wu, Qinghua, 2018. "Bi-level allocation of carbon emission permits based on clustering analysis and weighted voting: A case study in China," Applied Energy, Elsevier, vol. 228(C), pages 1122-1135.
    38. Shihong Zeng & Yan Xu & Liming Wang & Jiuying Chen & Qirong Li, 2016. "Forecasting the Allocative Efficiency of Carbon Emission Allowance Financial Assets in China at the Provincial Level in 2020," Energies, MDPI, vol. 9(5), pages 1-18, May.
    39. Shihong Zeng & Jiuying Chen, 2016. "Forecasting the Allocation Ratio of Carbon Emission Allowance Currency for 2020 and 2030 in China," Sustainability, MDPI, vol. 8(7), pages 1-28, July.
    40. Yi Liang & Dongxiao Niu & Weiwei Zhou & Yingying Fan, 2018. "Decomposition Analysis of Carbon Emissions from Energy Consumption in Beijing-Tianjin-Hebei, China: A Weighted-Combination Model Based on Logarithmic Mean Divisia Index and Shapley Value," Sustainability, MDPI, vol. 10(7), pages 1-23, July.
    41. Zhenhua Zhang & Guoxing Zhang & Shunfeng Song & Bin Su, 2020. "Spatial Heterogeneity Influences of Environmental Control and Informal Regulation on Air Pollutant Emissions in China," IJERPH, MDPI, vol. 17(13), pages 1-22, July.
    42. Biying Yu & Zihao Zhao & Yi-Ming Wei & Lan-Cui Liu & Qingyu Zhao & Shuo Xu & Jia-Ning Kang & Hua Liao, 2023. "Approaching national climate targets in China considering the challenge of regional inequality," Nature Communications, Nature, vol. 14(1), pages 1-12, December.
    43. Li, Huanan & Wei, Yi-Ming, 2015. "Is it possible for China to reduce its total CO2 emissions?," Energy, Elsevier, vol. 83(C), pages 438-446.
    44. Zhao, Jiqiang & Wu, Xianhua & Guo, Ji & Gao, Chao, 2022. "Allocation of SO2 emission rights in city agglomerations considering cross-border transmission of pollutants: A new network DEA model," Applied Energy, Elsevier, vol. 325(C).
    45. Guoyu Wang & Jinsheng Zhou, 2022. "Multiobjective Optimization of Carbon Emission Reduction Responsibility Allocation in the Open-Pit Mine Production Process against the Background of Peak Carbon Dioxide Emissions," Sustainability, MDPI, vol. 14(15), pages 1-21, August.
    46. Feng Ba & Paul R Thiers & Yonggong Liu, 2018. "The evolution of China’s emission trading mechanisms: From international offset market to domestic Emission Trading Scheme," Environment and Planning C, , vol. 36(7), pages 1214-1233, November.
    47. Jiang, Jingjing & Ye, Bin & Xie, Dejun & Li, Ji & Miao, Lixin & Yang, Peng, 2017. "Sector decomposition of China’s national economic carbon emissions and its policy implication for national ETS development," Renewable and Sustainable Energy Reviews, Elsevier, vol. 75(C), pages 855-867.
    48. Wei Li & Shuang Sun & Hao Li, 2015. "Decomposing the decoupling relationship between energy-related CO 2 emissions and economic growth in China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 79(2), pages 977-997, November.
    49. Yan Li & Yigang Wei & Zhang Dong, 2020. "Will China Achieve Its Ambitious Goal?—Forecasting the CO 2 Emission Intensity of China towards 2030," Energies, MDPI, vol. 13(11), pages 1-23, June.
    50. Ciardiello, F. & Genovese, A. & Simpson, A., 2019. "Pollution responsibility allocation in supply networks: A game-theoretic approach and a case study," International Journal of Production Economics, Elsevier, vol. 217(C), pages 211-217.
    51. Wang, Bangjun & Ji, Feng & Zheng, Jie & Xie, Kejia & Feng, Zhaolei, 2021. "Carbon emission reduction of coal-fired power supply chain enterprises under the revenue sharing contract: Perspective of coordination game," Energy Economics, Elsevier, vol. 102(C).
    52. Chen, Anping & Groenewold, Nicolaas, 2015. "Emission reduction policy: A regional economic analysis for China," Economic Modelling, Elsevier, vol. 51(C), pages 136-152.
    53. Kejia Yang & Yalin Lei & Weiming Chen & Lingna Liu, 2018. "Carbon dioxide emission reduction quota allocation study on Chinese provinces based on two-stage Shapley information entropy model," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 91(1), pages 321-335, March.
    54. Shuai, Jing & Cheng, Xin & Ding, Liping & Yang, Jun & Leng, Zhihui, 2019. "How should government and users share the investment costs and benefits of a solar PV power generation project in China?," Renewable and Sustainable Energy Reviews, Elsevier, vol. 104(C), pages 86-94.
    55. Guo, Qing & Wang, Hongsen & Lu, Xin & Qu, Long, 2024. "Effects of innovation environment on carbon intensity: The moderating role of information industry," International Review of Economics & Finance, Elsevier, vol. 92(C), pages 967-977.
    56. Xi Zhang & Ziyan Gao & Yong Geng & Yen Wah Tong & Harn Wei Kua & Xiaoqian Song & Yue Xu & Fei Wu, 2020. "Analysis of the Gravity Movement and Decoupling State of China’s CO 2 Emission Embodied in Fixed Capital Formation," Energies, MDPI, vol. 13(24), pages 1-20, December.
    57. Dong, Huijuan & Dai, Hancheng & Geng, Yong & Fujita, Tsuyoshi & Liu, Zhe & Xie, Yang & Wu, Rui & Fujii, Minoru & Masui, Toshihiko & Tang, Liang, 2017. "Exploring impact of carbon tax on China’s CO2 reductions and provincial disparities," Renewable and Sustainable Energy Reviews, Elsevier, vol. 77(C), pages 596-603.
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    59. Shaofu Du & Jun Qian & Tianzhuo Liu & Li Hu, 2020. "Emission allowance allocation mechanism design: a low-carbon operations perspective," Annals of Operations Research, Springer, vol. 291(1), pages 247-280, August.
    60. Chuyu Xia & Yan Li & Yanmei Ye & Zhou Shi & Jingming Liu, 2017. "Decomposed Driving Factors of Carbon Emissions and Scenario Analyses of Low-Carbon Transformation in 2020 and 2030 for Zhejiang Province," Energies, MDPI, vol. 10(11), pages 1-16, October.
    61. Li, Tianxiang & Baležentis, Tomas & Makutėnienė, Daiva & Streimikiene, Dalia & Kriščiukaitienė, Irena, 2016. "Energy-related CO2 emission in European Union agriculture: Driving forces and possibilities for reduction," Applied Energy, Elsevier, vol. 180(C), pages 682-694.
    62. Jing-Li Fan & Hua Liao & Bao-Jun Tang & Su-Yan Pan & Hao Yu & Yi-Ming Wei, 2016. "The impacts of migrant workers consumption on energy use and CO 2 emissions in China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 81(2), pages 725-743, March.
    63. Xing Zhou & Meihua Zhou & Ming Zhang, 2016. "Contrastive analyses of the influence factors of interprovincial carbon emission induced by industry energy in China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 81(3), pages 1405-1433, April.
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    69. Jianguo Zhou & Yushuo Li & Xuejing Huo & Xiaolei Xu, 2019. "How to Allocate Carbon Emission Permits Among China’s Industrial Sectors Under the Constraint of Carbon Intensity?," Sustainability, MDPI, vol. 11(3), pages 1-21, February.

  70. Johansson, Daniel J. A. & Lucas, Paul L. & Weitzel, Matthias & Ahlgren, Erik O. & Bazaz, A. B. & Chen, Wenying & den Elzen, Michel G. J. & Ghosh, Joydeep & Grahn, Maria & Liang, Qiao-Mei & Peterson, S, 2012. "Multi-model analyses of the economic and energy implications for China and India in a post-Kyoto climate regime," Kiel Working Papers 1808, Kiel Institute for the World Economy (IfW Kiel).

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    1. Niklas Vahlne & Erik O. Ahlgren, 2014. "Energy Efficiency at the Base of the Pyramid: A System-Based Market Model for Improved Cooking Stove Adoption," Sustainability, MDPI, vol. 6(12), pages 1-21, November.
    2. Weitzel, Matthias & Ghosh, Joydeep & Peterson, Sonja & Pradhan, Basanta, 2013. "Effects of international climate policy for India: Evidence from a national and global CGE model," VfS Annual Conference 2013 (Duesseldorf): Competition Policy and Regulation in a Global Economic Order 79771, Verein für Socialpolitik / German Economic Association.
    3. Jiang, Jingjing & Ye, Bin & Liu, Junguo, 2019. "Research on the peak of CO2 emissions in the developing world: Current progress and future prospect," Applied Energy, Elsevier, vol. 235(C), pages 186-203.
    4. Shivika Mittal & Jing-Yu Liu & Shinichiro Fujimori & Priyadarshi Ramprasad Shukla, 2018. "An Assessment of Near-to-Mid-Term Economic Impacts and Energy Transitions under “2 °C” and “1.5 °C” Scenarios for India," Energies, MDPI, vol. 11(9), pages 1-17, August.
    5. MASSIMO TAVONI & ELMAR KRIEGLER & TINO ABOUMAHBOUB & KATE CALVIN & GAUTHIER DE MAERE & MARSHALL WISE & DAVID KLEIN & JESSICA JEWELL & TOM KOBER & PAUL LUCAS & GUNNAR LUDERER & DAVID McCOLLUM & GIACOMO, 2013. "The Distribution Of The Major Economies' Effort In The Durban Platform Scenarios," Climate Change Economics (CCE), World Scientific Publishing Co. Pte. Ltd., vol. 4(04), pages 1-25.
    6. Pradhan, Basanta K. & Ghosh, Joydeep, 2019. "Climate policy vs. agricultural productivity shocks in a dynamic computable general equilibrium (CGE) modeling framework: The case of a developing economy," Economic Modelling, Elsevier, vol. 77(C), pages 55-69.
    7. Yin, Xiang & Chen, Wenying, 2013. "Trends and development of steel demand in China: A bottom–up analysis," Resources Policy, Elsevier, vol. 38(4), pages 407-415.

  71. Ke Wang & Lu Wang & Yi-Ming Wei & Mao-Sheng Ye, 2012. "Beijing storm of July 21, 2012: observations and reflections," CEEP-BIT Working Papers 41, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.

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    1. Dihang Xu & Zhiyun Ouyang & Tong Wu & Baolong Han, 2020. "Dynamic Trends of Urban Flooding Mitigation Services in Shenzhen, China," Sustainability, MDPI, vol. 12(11), pages 1-11, June.
    2. Tom Christensen & Liang Ma, 2020. "Coordination Structures and Mechanisms for Crisis Management in China: Challenges of Complexity," Public Organization Review, Springer, vol. 20(1), pages 19-36, March.
    3. Xiaojun Guo & Jianbin Huang & Yong Luo & Zongci Zhao & Ying Xu, 2016. "Projection of precipitation extremes for eight global warming targets by 17 CMIP5 models," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 84(3), pages 2299-2319, December.
    4. Yanxu Liu & Shuangshuang Li & Yanglin Wang & Tian Zhang & Jian Peng & Tianyi Li, 2015. "Identification of multiple climatic extremes in metropolis: a comparison of Guangzhou and Shenzhen, China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 79(2), pages 939-953, November.
    5. Xinghua Wang & Jingming Hou & Bingyao Li & Jie Chai & Jian Wang & Wenqing Zhang, 2022. "Study for Underpass Inundation Process Caused by Heavy Storm Using High-resolution Urban Flood Model," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(11), pages 3965-3980, September.
    6. Wei Xu & Li Zhuo & Jing Zheng & Yi Ge & Zhihui Gu & Yugang Tian, 2016. "Assessment of the Casualty Risk of Multiple Meteorological Hazards in China," IJERPH, MDPI, vol. 13(2), pages 1-12, February.

  72. Shiwei Yu & Yi-Ming Wei & Haixiang Guo & Liping Ding, 2012. "Carbon emission coefficient measurement of the coal-to-power energy chain in China," CEEP-BIT Working Papers 39, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.

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    1. Guangfang Luo & Jianjun Zhang & Yongheng Rao & Xiaolei Zhu & Yiqiang Guo, 2017. "Coal Supply Chains: A Whole-Process-Based Measurement of Carbon Emissions in a Mining City of China," Energies, MDPI, vol. 10(11), pages 1-18, November.
    2. Thanh Tam Nguyen & Long Van Hoang, 2024. "Assessing Container Terminals’ Environmental Efficiency: The Modified Slack-Based Measure Model," Sustainability, MDPI, vol. 16(11), pages 1-16, May.
    3. Shangli Zhou & Hengjing He & Leping Zhang & Wei Zhao & Fei Wang, 2023. "A Data-Driven Method to Monitor Carbon Dioxide Emissions of Coal-Fired Power Plants," Energies, MDPI, vol. 16(4), pages 1-27, February.
    4. Chang, Yuan & Huang, Runze & Ries, Robert J. & Masanet, Eric, 2015. "Life-cycle comparison of greenhouse gas emissions and water consumption for coal and shale gas fired power generation in China," Energy, Elsevier, vol. 86(C), pages 335-343.
    5. Zhang, Xiaoshun & Chen, Yixuan & Yu, Tao & Yang, Bo & Qu, Kaiping & Mao, Senmao, 2017. "Equilibrium-inspired multiagent optimizer with extreme transfer learning for decentralized optimal carbon-energy combined-flow of large-scale power systems," Applied Energy, Elsevier, vol. 189(C), pages 157-176.
    6. Yaoyao Yu & Lixia Yu & Xiaoyuan Chen & Zhiying Zhang & Ke Qing & Boyang Shen, 2024. "Prospects for Long-Distance Cascaded Liquid—Gaseous Hydrogen Delivery: An Economic and Environmental Assessment," Sustainability, MDPI, vol. 16(20), pages 1-17, October.
    7. Zhi-Fu Mi & Yi-Ming Wei & Chen-Qi He & Hua-Nan Li & Xiao-Chen Yuan & Hua Liao, 2017. "Regional efforts to mitigate climate change in China: a multi-criteria assessment approach," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 22(1), pages 45-66, January.
    8. Yu, Shiwei & Zhang, Junjie & Zheng, Shuhong & Sun, Han, 2015. "Provincial carbon intensity abatement potential estimation in China: A PSO–GA-optimized multi-factor environmental learning curve method," Energy Policy, Elsevier, vol. 77(C), pages 46-55.
    9. Wang, Ke & Zhang, Jianjun & Cai, Bofeng & Yu, Shengmin, 2019. "Emission factors of fugitive methane from underground coal mines in China: Estimation and uncertainty," Applied Energy, Elsevier, vol. 250(C), pages 273-282.
    10. Fang, Yujuan & Chen, Laijun & Mei, Shengwei & Wei, Wei & Huang, Shaowei & Liu, Feng, 2019. "Coal or electricity? An evolutionary game approach to investigate fuel choices of urban heat supply systems," Energy, Elsevier, vol. 181(C), pages 107-122.
    11. Shaikh, Mohammad A. & Kucukvar, Murat & Onat, Nuri Cihat & Kirkil, Gokhan, 2017. "A framework for water and carbon footprint analysis of national electricity production scenarios," Energy, Elsevier, vol. 139(C), pages 406-421.
    12. Jun Yang & Xin Feng & Yufei Tang & Jun Yan & Haibo He & Chao Luo, 2015. "A Power System Optimal Dispatch Strategy Considering the Flow of Carbon Emissions and Large Consumers," Energies, MDPI, vol. 8(9), pages 1-20, August.
    13. Yu, Shiwei & Zheng, Shuhong & Gao, Shiwei & Yang, Juan, 2017. "A multi-objective decision model for investment in energy savings and emission reductions in coal mining," European Journal of Operational Research, Elsevier, vol. 260(1), pages 335-347.
    14. Zhang, Yaru & Ma, Tieju & Guo, Fei, 2018. "A multi-regional energy transport and structure model for China’s electricity system," Energy, Elsevier, vol. 161(C), pages 907-919.
    15. Eising, Jan Willem & van Onna, Tom & Alkemade, Floortje, 2014. "Towards smart grids: Identifying the risks that arise from the integration of energy and transport supply chains," Applied Energy, Elsevier, vol. 123(C), pages 448-455.
    16. Yang, Ranran & Long, Ruyin & Yue, Ting & Shi, Haihong, 2014. "Calculation of embodied energy in Sino-USA trade: 1997–2011," Energy Policy, Elsevier, vol. 72(C), pages 110-119.
    17. Ye, Bin & Jiang, JingJing & Li, Changsheng & Miao, Lixin & Tang, Jie, 2017. "Quantification and driving force analysis of provincial-level carbon emissions in China," Applied Energy, Elsevier, vol. 198(C), pages 223-238.
    18. Zheng, Huan-yu & Wang, Ling, 2015. "Reduction of carbon emissions and project makespan by a Pareto-based estimation of distribution algorithm," International Journal of Production Economics, Elsevier, vol. 164(C), pages 421-432.
    19. Honglei Shi & Guiling Wang & Wei Zhang & Feng Ma & Wenjing Lin & Menglei Ji, 2023. "Predicting the Potential of China’s Geothermal Energy in Industrial Development and Carbon Emission Reduction," Sustainability, MDPI, vol. 15(9), pages 1-16, May.
    20. Li, Wei & Younger, Paul L. & Cheng, Yuanping & Zhang, Baoyong & Zhou, Hongxing & Liu, Qingquan & Dai, Tao & Kong, Shengli & Jin, Kan & Yang, Quanlin, 2015. "Addressing the CO2 emissions of the world's largest coal producer and consumer: Lessons from the Haishiwan Coalfield, China," Energy, Elsevier, vol. 80(C), pages 400-413.
    21. Nian, Victor, 2015. "Change impact analysis on the life cycle carbon emissions of energy systems – The nuclear example," Applied Energy, Elsevier, vol. 143(C), pages 437-450.
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    75. Zhao, Jingyu & Zhang, Yongli & Song, Jiajia & Guo, Tao & Deng, Jun & Shu, Chi-Min, 2023. "Oxygen distribution and gaseous products change of coal fire based upon the semi-enclosed experimental system," Energy, Elsevier, vol. 263(PB).
    76. Wai-Ming To & Peter Ka Chun Lee & Tsz-Ming Lai, 2017. "Modeling of Monthly Residential and Commercial Electricity Consumption Using Nonlinear Seasonal Models—The Case of Hong Kong," Energies, MDPI, vol. 10(7), pages 1-16, June.
    77. Yu Hao & Shang Gao & Yunxia Guo & Zhiqiang Gai & Haitao Wu, 2021. "Measuring the nexus between economic development and environmental quality based on environmental Kuznets curve: a comparative study between China and Germany for the period of 2000–2017," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(11), pages 16848-16873, November.
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    79. Hasdi Aimon & Anggi Putri Kurniadi & Sri Ulfa Sentosa & Nurhayati Abd Rahman, 2023. "Production, Consumption, Export and Carbon Emission for Coal Commodities: Cases of Indonesia and Australia," International Journal of Energy Economics and Policy, Econjournals, vol. 13(5), pages 484-492, September.
    80. Bin Ye & Jingjing Jiang & Lixin Miao & Peng Yang & Ji Li & Bo Shen, 2015. "Feasibility Study of a Solar-Powered Electric Vehicle Charging Station Model," Energies, MDPI, vol. 8(11), pages 1-19, November.
    81. Li, Jin & Wang, Rui & Li, Haoran & Nie, Yaoyu & Song, Xinke & Li, Mingyu & Shi, Mai & Zheng, Xinzhu & Cai, Wenjia & Wang, Can, 2021. "Unit-level cost-benefit analysis for coal power plants retrofitted with biomass co-firing at a national level by combined GIS and life cycle assessment," Applied Energy, Elsevier, vol. 285(C).
    82. Wang, Jialin & Kuang, Min & Zhao, Xiaojuan & Wu, Haiqian & Ti, Shuguang & Chen, Chuyang & Jiao, Long, 2020. "Trends of the low-NOx and high-burnout combustion characteristics in a cascade-arch, W-shaped flame furnace regarding with the staged-air angle," Energy, Elsevier, vol. 212(C).
    83. Zhang, Yueling & Li, Junjie & Yang, Xiaoxiao, 2021. "Comprehensive competitiveness assessment of four coal-to-liquid routes and conventional oil refining route in China," Energy, Elsevier, vol. 235(C).
    84. Xu, Shi-Chun & He, Zheng-Xia & Long, Ru-Yin, 2014. "Factors that influence carbon emissions due to energy consumption in China: Decomposition analysis using LMDI," Applied Energy, Elsevier, vol. 127(C), pages 182-193.
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    93. Jie Wu & Jun-Fei Chu & Liang Liang, 2016. "Target setting and allocation of carbon emissions abatement based on DEA and closest target: an application to 20 APEC economies," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 84(1), pages 279-296, November.
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    2. Yang, Yuan & Cai, Wenjia & Wang, Can, 2014. "Industrial CO2 intensity, indigenous innovation and R&D spillovers in China’s provinces," Applied Energy, Elsevier, vol. 131(C), pages 117-127.
    3. Maria J. Herrerias & Roselyne Joyeux & Eric Girardin, 2013. "Short- and long-run causality between energy consumption and economic growth : evidence across regions in China," Post-Print hal-01499624, HAL.
    4. Zheng, Bo & Zhang, Qiang & Borken-Kleefeld, Jens & Huo, Hong & Guan, Dabo & Klimont, Zbigniew & Peters, Glen P. & He, Kebin, 2015. "How will greenhouse gas emissions from motor vehicles be constrained in China around 2030?," Applied Energy, Elsevier, vol. 156(C), pages 230-240.
    5. Chen, Yaping & Guo, Zhanwei & Wu, Jiafeng & Zhang, Zhi & Hua, Junye, 2015. "Energy and exergy analysis of integrated system of ammonia–water Kalina–Rankine cycle," Energy, Elsevier, vol. 90(P2), pages 2028-2037.
    6. Jingjing Qu & Aijun Li & Morié Guy-Roland N’Drin, 2023. "Measuring technology inequality across African countries using the concept of efficiency Gini coefficient," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(5), pages 4107-4138, May.
    7. Milin Lu & Zhaohua Wang, 2017. "Rebound effects for residential electricity use in urban China: an aggregation analysis based E-I-O and scenario simulation," Annals of Operations Research, Springer, vol. 255(1), pages 525-546, August.

  75. Zhao-Hua Wang & Hua-Lin Zeng & Yi-Ming Wei & Yi-Xiang Zhang, 2011. "Regional total factor energy efficiency: An empirical analysis of industrial sector in China," CEEP-BIT Working Papers 26, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.

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    2. Sueyoshi, Toshiyuki & Yuan, Yan & Goto, Mika, 2017. "A literature study for DEA applied to energy and environment," Energy Economics, Elsevier, vol. 62(C), pages 104-124.
    3. Quande Qin & Xin Li & Li Li & Wei Zhen & Yi-Ming Wei, 2017. "Air emissions perspective on energy efficiency: An empirical analysis of China's coastal areas," CEEP-BIT Working Papers 98, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
    4. Sun, Dingqiang & Bai, Junfei & Qiu, Huanguang & Cai, Yaqing, 2014. "Impact of government subsidies on household biogas use in rural China," Energy Policy, Elsevier, vol. 73(C), pages 748-756.
    5. He, Yongxiu & Guang, Fengtao & Wang, Meiyan, 2018. "The efficiency of electricity-use of China and its influencing factors," Energy, Elsevier, vol. 163(C), pages 258-269.
    6. Meng, Fanyi & Su, Bin & Thomson, Elspeth & Zhou, Dequn & Zhou, P., 2016. "Measuring China’s regional energy and carbon emission efficiency with DEA models: A survey," Applied Energy, Elsevier, vol. 183(C), pages 1-21.
    7. Chao Xu & Yunpeng Wang & Lili Li & Peng Wang, 2018. "Spatiotemporal Trajectory of China’s Provincial Energy Efficiency and Implications on the Route of Economic Transformation," Sustainability, MDPI, vol. 10(12), pages 1-14, December.
    8. Yu, Shiwei & Zhang, Junjie & Zheng, Shuhong & Sun, Han, 2015. "Provincial carbon intensity abatement potential estimation in China: A PSO–GA-optimized multi-factor environmental learning curve method," Energy Policy, Elsevier, vol. 77(C), pages 46-55.
    9. Wanke, Peter & Barros, C.P., 2016. "Efficiency in Latin American airlines: A two-stage approach combining Virtual Frontier Dynamic DEA and Simplex Regression," Journal of Air Transport Management, Elsevier, vol. 54(C), pages 93-103.
    10. V. R. Bityukova, 2021. "Regional Projection of Environmental Consequences of Crises in the Russian Economy," Regional Research of Russia, Springer, vol. 11(4), pages 656-666, October.
    11. Huayong Niu & Zhishuo Zhang & Manting Luo, 2022. "Evaluation and Prediction of Low-Carbon Economic Efficiency in China, Japan and South Korea: Based on DEA and Machine Learning," IJERPH, MDPI, vol. 19(19), pages 1-28, October.
    12. Wang, Zhaohua & Feng, Chao, 2015. "Sources of production inefficiency and productivity growth in China: A global data envelopment analysis," Energy Economics, Elsevier, vol. 49(C), pages 380-389.
    13. Martchamadol, Jutamanee & Kumar, S., 2014. "The Aggregated Energy Security Performance Indicator (AESPI) at national and provincial level," Applied Energy, Elsevier, vol. 127(C), pages 219-238.
    14. Tengfei Huo & Hong Ren & Weiguang Cai & Wei Feng & Miaohan Tang & Nan Zhou, 2018. "The total-factor energy productivity growth of China’s construction industry: evidence from the regional level," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 92(3), pages 1593-1616, July.
    15. Coatalem, Martin & Mazauric, Vincent & Le Pape-Gardeux, Claude & Maïzi, Nadia, 2017. "Optimizing industries’ power generation assets on the electricity markets," Applied Energy, Elsevier, vol. 185(P2), pages 1744-1756.
    16. Yulin Lu & Chengyu Li & Min-Jae Lee, 2023. "A Study on the Measurement and Influences of Energy Green Efficiency: Based on Panel Data from 30 Provinces in China," Sustainability, MDPI, vol. 15(21), pages 1-17, October.
    17. Cui, Wencong & Li, Jianyi & Xu, Wangtu & Güneralp, Burak, 2021. "Industrial electricity consumption and economic growth: A spatio-temporal analysis across prefecture-level cities in China from 1999 to 2014," Energy, Elsevier, vol. 222(C).
    18. Li, Zheng & Pan, Lingying & Fu, Feng & Liu, Pei & Ma, Linwei & Amorelli, Angelo, 2014. "China's regional disparities in energy consumption: An input–output analysis," Energy, Elsevier, vol. 78(C), pages 426-438.
    19. Zhou, Yang & Liu, Yansui, 2016. "Does population have a larger impact on carbon dioxide emissions than income? Evidence from a cross-regional panel analysis in China," Applied Energy, Elsevier, vol. 180(C), pages 800-809.
    20. Alvarez-Herranz, Agustin & Balsalobre-Lorente, Daniel & Shahbaz, Muhammad & Cantos, José María, 2017. "Energy innovation and renewable energy consumption in the correction of air pollution levels," Energy Policy, Elsevier, vol. 105(C), pages 386-397.
    21. Benchang Chen & Xiangfeng Ji & Xiangyan Ji, 2023. "Dynamic and Static Analysis of Carbon Emission Efficiency in China’s Transportation Sector," Sustainability, MDPI, vol. 15(2), pages 1-18, January.
    22. Zhou, Anhua & Xin, Ling & Li, Jun, 2022. "Assessing the impact of the carbon market on the improvement of China's energy and carbon emission performance," Energy, Elsevier, vol. 258(C).
    23. Xia, X.H. & Chen, Y.B. & Li, J.S. & Tasawar, H. & Alsaedi, A. & Chen, G.Q., 2014. "Energy regulation in China: Objective selection, potential assessment and responsibility sharing by partial frontier analysis," Energy Policy, Elsevier, vol. 66(C), pages 292-302.
    24. Li, Jianglong & Lin, Boqiang, 2017. "Ecological total-factor energy efficiency of China's heavy and light industries: Which performs better?," Renewable and Sustainable Energy Reviews, Elsevier, vol. 72(C), pages 83-94.
    25. Zhu, Qinghua, 2016. "Institutional pressures and support from industrial zones for motivating sustainable production among Chinese manufacturers," International Journal of Production Economics, Elsevier, vol. 181(PB), pages 402-409.
    26. Weibin Lin & Bin Chen & Lina Xie & Haoran Pan, 2015. "Estimating Energy Consumption of Transport Modes in China Using DEA," Sustainability, MDPI, vol. 7(4), pages 1-15, April.
    27. Gao, Cuixia & Sun, Mei & Shen, Bo & Li, Ranran & Tian, Lixin, 2014. "Optimization of China's energy structure based on portfolio theory," Energy, Elsevier, vol. 77(C), pages 890-897.
    28. Zhang, Ning & Zhou, Peng & Kung, Chih-Chun, 2015. "Total-factor carbon emission performance of the Chinese transportation industry: A bootstrapped non-radial Malmquist index analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 41(C), pages 584-593.
    29. Sueyoshi, Toshiyuki & Goto, Mika, 2018. "Resource utilization for sustainability enhancement in Japanese industries," Applied Energy, Elsevier, vol. 228(C), pages 2308-2320.
    30. Du, Huibin & Matisoff, Daniel C. & Wang, Yangyang & Liu, Xi, 2016. "Understanding drivers of energy efficiency changes in China," Applied Energy, Elsevier, vol. 184(C), pages 1196-1206.
    31. Delu Wang & Kaidi Wan & Jingyuan Yang, 2019. "Ecological efficiency of coal cities in China: evaluation and influence factors," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 95(1), pages 363-379, January.
    32. Zhihai Yang & Dong Wang & Tianyi Du & Anlu Zhang & Yixiao Zhou, 2018. "Total-Factor Energy Efficiency in China’s Agricultural Sector: Trends, Disparities and Potentials," Energies, MDPI, vol. 11(4), pages 1-16, April.
    33. Antonakakis, Nikolaos & Chatziantoniou, Ioannis & Filis, George, 2017. "Energy consumption, CO2 emissions, and economic growth: An ethical dilemma," Renewable and Sustainable Energy Reviews, Elsevier, vol. 68(P1), pages 808-824.
    34. Mardani, Abbas & Zavadskas, Edmundas Kazimieras & Streimikiene, Dalia & Jusoh, Ahmad & Khoshnoudi, Masoumeh, 2017. "A comprehensive review of data envelopment analysis (DEA) approach in energy efficiency," Renewable and Sustainable Energy Reviews, Elsevier, vol. 70(C), pages 1298-1322.
    35. Chen, Chih Cheng, 2017. "Measuring departmental and overall regional performance: applying the multi-activity DEA model to Taiwan׳s cities/counties," Omega, Elsevier, vol. 67(C), pages 60-80.
    36. Ji, Xiang & Li, Guo & Wang, Zhaohua, 2017. "Allocation of emission permits for China’s power plants: A systemic Pareto optimal method," Applied Energy, Elsevier, vol. 204(C), pages 607-619.
    37. Li, Ke & Lin, Boqiang, 2015. "The efficiency improvement potential for coal, oil and electricity in China's manufacturing sectors," Energy, Elsevier, vol. 86(C), pages 403-413.
    38. May, Gökan & Barletta, Ilaria & Stahl, Bojan & Taisch, Marco, 2015. "Energy management in production: A novel method to develop key performance indicators for improving energy efficiency," Applied Energy, Elsevier, vol. 149(C), pages 46-61.
    39. Wei, Jia & Chen, Hong & Cui, Xiaotong & Long, Ruyin, 2016. "Carbon capability of urban residents and its structure: Evidence from a survey of Jiangsu Province in China," Applied Energy, Elsevier, vol. 173(C), pages 635-649.
    40. Maria J. Herrerias & Roselyne Joyeux & Eric Girardin, 2013. "Short- and long-run causality between energy consumption and economic growth : evidence across regions in China," Post-Print hal-01499624, HAL.
    41. Yin, Jianhua & Zheng, Mingzheng & Chen, Jian, 2015. "The effects of environmental regulation and technical progress on CO2 Kuznets curve: An evidence from China," Energy Policy, Elsevier, vol. 77(C), pages 97-108.
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    43. Cai, Bofeng & Guo, Huanxiu & Ma, Zipeng & Wang, Zhixuan & Dhakal, Shobhakar & Cao, Libin, 2019. "Benchmarking carbon emissions efficiency in Chinese cities: A comparative study based on high-resolution gridded data," Applied Energy, Elsevier, vol. 242(C), pages 994-1009.
    44. Liao, Hua & Du, Jian & Wei, Yi-Ming, 2013. "Energy conservation in China: Key provincial sectors at two-digit level," Applied Energy, Elsevier, vol. 104(C), pages 457-465.
    45. Yu, Dejian & He, Xiaorong, 2020. "A bibliometric study for DEA applied to energy efficiency: Trends and future challenges," Applied Energy, Elsevier, vol. 268(C).
    46. Li, Lei & Chi, Ting & Wang, Shi, 2016. "Is energy utilization among Chinese provinces sustainable?," Technological Forecasting and Social Change, Elsevier, vol. 112(C), pages 198-206.
    47. Lin, Boqiang & Wang, Xiaolei, 2015. "Carbon emissions from energy intensive industry in China: Evidence from the iron & steel industry," Renewable and Sustainable Energy Reviews, Elsevier, vol. 47(C), pages 746-754.
    48. Yu Hao & Jingwen Huang & Yunxia Guo & Haitao Wu & Siyu Ren, 2022. "Does the legacy of state planning put pressure on ecological efficiency? Evidence from China," Business Strategy and the Environment, Wiley Blackwell, vol. 31(7), pages 3100-3121, November.
    49. Jiancheng Qin & Hui Tao & Chinhsien Cheng & Karthikeyan Brindha & Minjin Zhan & Jianli Ding & Guijin Mu, 2020. "Analysis of Factors Influencing Carbon Emissions in the Energy Base, Xinjiang Autonomous Region, China," Sustainability, MDPI, vol. 12(3), pages 1-15, February.
    50. Apergis, Nicholas & Chang, Tsangyao & Gupta, Rangan & Ziramba, Emmanuel, 2016. "Hydroelectricity consumption and economic growth nexus: Evidence from a panel of ten largest hydroelectricity consumers," Renewable and Sustainable Energy Reviews, Elsevier, vol. 62(C), pages 318-325.
    51. Olanrewaju, O.A. & Jimoh, A.A. & Kholopane, P.A., 2013. "Assessing the energy potential in the South African industry: A combined IDA-ANN-DEA (Index Decomposition Analysis-Artificial Neural Network-Data Envelopment Analysis) model," Energy, Elsevier, vol. 63(C), pages 225-232.
    52. Ke Wang & Xueying Yu, 2014. "Industrial energy and environment efficiency of Chinese cities: an analysis based on range-adjusted measure," CEEP-BIT Working Papers 65, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
    53. Zhou, Anhua & Li, Jun, 2021. "Investigate the impact of market reforms on the improvement of manufacturing energy efficiency under China’s provincial-level data," Energy, Elsevier, vol. 228(C).
    54. Tao Xu & Jianxin You & Hui Li & Luning Shao, 2020. "Energy Efficiency Evaluation Based on Data Envelopment Analysis: A Literature Review," Energies, MDPI, vol. 13(14), pages 1-20, July.
    55. Qunwei Wang & Peng Zhou & Zengyao Zhao & Neng Shen, 2014. "Energy Efficiency and Energy Saving Potential in China: A Directional Meta-Frontier DEA Approach," Sustainability, MDPI, vol. 6(8), pages 1-17, August.
    56. Shiyi Chen & Shujian Zhang, 2014. "Large-Scale Land Use for Construction and Energy Consumption after the New Millennium with Their Impact on Total-Factor Efficiency Change in China’s Regional Economy," Energies, MDPI, vol. 7(4), pages 1-18, March.
    57. Linan Gao & Xiaofei Liu & Xinyi Mei & Guangwei Rui & Jingcheng Li, 2022. "Research on the Spatial-Temporal Distribution Characteristics and Influencing Factors of Carbon Emission Efficiency in China’s Metal Smelting Industry—Based on the Three-Stage DEA Method," Sustainability, MDPI, vol. 14(24), pages 1-19, December.
    58. Makridou, Georgia & Andriosopoulos, Kostas & Doumpos, Michael & Zopounidis, Constantin, 2016. "Measuring the efficiency of energy-intensive industries across European countries," Energy Policy, Elsevier, vol. 88(C), pages 573-583.
    59. Hao, Yu & Gai, Zhiqiang & Wu, Haitao, 2020. "How do resource misallocation and government corruption affect green total factor energy efficiency? Evidence from China," Energy Policy, Elsevier, vol. 143(C).
    60. Zhang, Yue-Jun & Sun, Ya-Fang & Huang, Junling, 2018. "Energy efficiency, carbon emission performance, and technology gaps: Evidence from CDM project investment," Energy Policy, Elsevier, vol. 115(C), pages 119-130.
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    88. Xu, Jiuping & Yang, Xin & Tao, Zhimiao, 2015. "A tripartite equilibrium for carbon emission allowance allocation in the power-supply industry," Energy Policy, Elsevier, vol. 82(C), pages 62-80.
    89. Qi Li & Ya-Ni Wei & Yanfang Dong, 2016. "Coupling analysis of China’s urbanization and carbon emissions: example from Hubei Province," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 81(2), pages 1333-1348, March.
    90. Siqin Xiong & Yushen Tian & Junping Ji & Xiaoming Ma, 2017. "Allocation of Energy Consumption among Provinces in China: A Weighted ZSG-DEA Model," Sustainability, MDPI, vol. 9(11), pages 1-12, November.
    91. Tianyi Cai & Degang Yang & Xinhuan Zhang & Fuqiang Xia & Rongwei Wu, 2018. "Study on the Vertical Linkage of Greenhouse Gas Emission Intensity Change of the Animal Husbandry Sector between China and Its Provinces," Sustainability, MDPI, vol. 10(7), pages 1-18, July.
    92. Chen, Han & Yang, Lei & Chen, Wenying, 2020. "Modelling national, provincial and city-level low-carbon energy transformation pathways," Energy Policy, Elsevier, vol. 137(C).
    93. Jie Wu & Jun-Fei Chu & Liang Liang, 2016. "Target setting and allocation of carbon emissions abatement based on DEA and closest target: an application to 20 APEC economies," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 84(1), pages 279-296, November.
    94. Wang, Shanyong & Wang, Jing & Lin, Shoufu & Li, Jun, 2020. "How and when does information publicity affect public acceptance of nuclear energy?," Energy, Elsevier, vol. 198(C).

  77. Qiao-Mei Liang & Yi-Ming Wei, 2011. "Distributional impacts of taxing carbon in China: a general equilibrium analysis," CEEP-BIT Working Papers 29, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.

    Cited by:

    1. Wang, Huiqing & Wei, Weixian, 2020. "Coordinating technological progress and environmental regulation in CO2 mitigation: The optimal levels for OECD countries & emerging economies," Energy Economics, Elsevier, vol. 87(C).

  78. Zhen-Hua Feng & Yi-Ming Wei & Kai Wang, 2011. "Estimating risk for the carbon market via extreme value theory: An empirical analysis of the EU ETS," CEEP-BIT Working Papers 19, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.

    Cited by:

    1. Xiangjun Chen & Bo Yan, 2024. "Research on jumps and volatility in China’s carbon market," Economic Change and Restructuring, Springer, vol. 57(1), pages 1-43, February.
    2. Federico Galán-Valdivieso & Elena Villar-Rubio & María-Dolores Huete-Morales, 2018. "The erratic behaviour of the EU ETS on the path towards consolidation and price stability," International Environmental Agreements: Politics, Law and Economics, Springer, vol. 18(5), pages 689-706, October.
    3. Herrera, Rodrigo & González, Nicolás, 2014. "The modeling and forecasting of extreme events in electricity spot markets," International Journal of Forecasting, Elsevier, vol. 30(3), pages 477-490.
    4. Zhou, Xinxing & Gao, Yan & Wang, Ping & Zhu, Bangzhu & Wu, Zhanchi, 2022. "Does herding behavior exist in China's carbon markets?," Applied Energy, Elsevier, vol. 308(C).
    5. Yifei Hua & Feng Dong, 2019. "China’s Carbon Market Development and Carbon Market Connection: A Literature Review," Energies, MDPI, vol. 12(9), pages 1-25, May.
    6. Wenjun Chu & Shanglei Chai & Xi Chen & Mo Du, 2020. "Does the Impact of Carbon Price Determinants Change with the Different Quantiles of Carbon Prices? Evidence from China ETS Pilots," Sustainability, MDPI, vol. 12(14), pages 1-19, July.
    7. Gong, Xu & Wen, Fenghua & Xia, X.H. & Huang, Jianbai & Pan, Bin, 2017. "Investigating the risk-return trade-off for crude oil futures using high-frequency data," Applied Energy, Elsevier, vol. 196(C), pages 152-161.
    8. Chai, Shanglei & Yang, Xiaoli & Zhang, Zhen & Abedin, Mohammad Zoynul & Lucey, Brian, 2022. "Regional imbalances of market efficiency in China’s pilot emission trading schemes (ETS): A multifractal perspective," Research in International Business and Finance, Elsevier, vol. 63(C).
    9. Reboredo, Juan C. & Ugando, Mikel, 2015. "Downside risks in EU carbon and fossil fuel markets," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 111(C), pages 17-35.
    10. Daniel Velásquez-Gaviria & Andrés Mora-Valencia & Javier Perote, 2020. "A Comparison of the Risk Quantification in Traditional and Renewable Energy Markets," Energies, MDPI, vol. 13(11), pages 1-42, June.
    11. Cummins, Mark, 2013. "EU ETS market interactions: The case for multiple hypothesis testing approaches," Applied Energy, Elsevier, vol. 111(C), pages 701-709.
    12. Chen, Huayi & Shi, Huai-Long & Zhou, Wei-Xing, 2024. "Carbon volatility connectedness and the role of external uncertainties: Evidence from China," Journal of Commodity Markets, Elsevier, vol. 33(C).
    13. Miao Zhenjian & Kofi Baah Boamah & Xingle Long, 2020. "Research on entropy generation strategy and its application in carbon trading market," Business Strategy and the Environment, Wiley Blackwell, vol. 29(5), pages 1992-2000, July.
    14. Jamshidi, Movahed & Kebriaei, Hamed & Sheikh-El-Eslami, Mohammad-Kazem, 2018. "An interval-based stochastic dominance approach for decision making in forward contracts of electricity market," Energy, Elsevier, vol. 158(C), pages 383-395.
    15. Bao-jun Tang & Cheng Shen & Yi-fan Zhao, 2015. "Market risk in carbon market: an empirical analysis of the EUA and sCER," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 75(2), pages 333-346, February.
    16. Zhang, Chen & Yang, Yu & Yun, Po, 2020. "Risk measurement of international carbon market based on multiple risk factors heterogeneous dependence," Finance Research Letters, Elsevier, vol. 32(C).
    17. Adediran, Idris A. & Swaray, Raymond, 2023. "Carbon trading amidst global uncertainty: The role of policy and geopolitical uncertainty," Economic Modelling, Elsevier, vol. 123(C).
    18. Ren, Xiaohang & Li, Yiying & Sun, Xianming & Bu, Ruijun & Jawadi, Fredj, 2023. "Modeling extreme risk spillovers between crude oil and Chinese energy futures markets," Energy Economics, Elsevier, vol. 126(C).
    19. Jianguo Zhou & Xuechao Yu & Xiaolei Yuan, 2018. "Predicting the Carbon Price Sequence in the Shenzhen Emissions Exchange Using a Multiscale Ensemble Forecasting Model Based on Ensemble Empirical Mode Decomposition," Energies, MDPI, vol. 11(7), pages 1-17, July.
    20. Zhu, Bangzhu & Huang, Liqing & Yuan, Lili & Ye, Shunxin & Wang, Ping, 2020. "Exploring the risk spillover effects between carbon market and electricity market: A bidimensional empirical mode decomposition based conditional value at risk approach," International Review of Economics & Finance, Elsevier, vol. 67(C), pages 163-175.
    21. Fang Zhang & Zhengjun Zhang, 2020. "The tail dependence of the carbon markets: The implication of portfolio management," PLOS ONE, Public Library of Science, vol. 15(8), pages 1-17, August.
    22. Zheng, Yan & Yin, Hua & Zhou, Min & Liu, Wenhua & Wen, Fenghua, 2021. "Impacts of oil shocks on the EU carbon emissions allowances under different market conditions," Energy Economics, Elsevier, vol. 104(C).
    23. Ren, Yinghua & Zhao, Wanru & You, Wanhai & Zhai, Kaikai, 2021. "Multiscale and partial correlation networks analysis of risk connectedness in global equity markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 573(C).
    24. Eunyoung Kim & Youngcheul Ahn & Doojin Ryu, 2014. "Application of the Carbon Emission Pricing Model in the Korean Market," Energy & Environment, , vol. 25(1), pages 63-78, February.
    25. Shackleton, Ross T. & Angelstam, Per & van der Waal, Benjamin & Elbakidze, Marine, 2017. "Progress made in managing and valuing ecosystem services: a horizon scan of gaps in research, management and governance," Ecosystem Services, Elsevier, vol. 27(PB), pages 232-241.
    26. Liu, Xiaojia & An, Haizhong & Wang, Lijun & Jia, Xiaoliang, 2017. "An integrated approach to optimize moving average rules in the EUA futures market based on particle swarm optimization and genetic algorithms," Applied Energy, Elsevier, vol. 185(P2), pages 1778-1787.
    27. Bangzhu Zhu & Shunxin Ye & Kaijian He & Julien Chevallier & Rui Xie, 2019. "Measuring the risk of European carbon market: an empirical mode decomposition-based value at risk approach," Annals of Operations Research, Springer, vol. 281(1), pages 373-395, October.
    28. Zhou, P. & Zhang, L. & Zhou, D.Q. & Xia, W.J., 2013. "Modeling economic performance of interprovincial CO2 emission reduction quota trading in China," Applied Energy, Elsevier, vol. 112(C), pages 1518-1528.
    29. Yanzhi Duan & Chunlei He & Li Yao & Yue Wang & Nan Tang & Zhong Wang, 2023. "Research on Risk Measurement of China’s Carbon Trading Market," Energies, MDPI, vol. 16(23), pages 1-28, December.
    30. Peng Chen & Andrew Vivian & Cheng Ye, 2022. "Forecasting carbon futures price: a hybrid method incorporating fuzzy entropy and extreme learning machine," Annals of Operations Research, Springer, vol. 313(1), pages 559-601, June.
    31. Jarmila Zimmermannová, 2015. "Pilot Analysis of the Behaviour of Companies Within the 3rd Trading Period of the EU ETS in the Czech Republic," Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, Mendel University Press, vol. 63(6), pages 2213-2220.
    32. Bangzhu Zhu & Ping Wang & Julien Chevallier & Yi‐Ming Wei, 2023. "Enriching the value‐at‐risk framework to ensemble empirical mode decomposition with an application to the European carbon market," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 28(3), pages 2975-2988, July.
    33. Hong Qiu & Genhua Hu & Yuhong Yang & Jeffrey Zhang & Ting Zhang, 2020. "Modeling the Risk of Extreme Value Dependence in Chinese Regional Carbon Emission Markets," Sustainability, MDPI, vol. 12(19), pages 1-15, September.
    34. Xinchen Liu & Xuanwei Ning & Chengliang Wu & Yang Zhang, 2024. "Evolutionary Trends in Carbon Market Risk Research," Energies, MDPI, vol. 17(18), pages 1-28, September.
    35. Antonio Díaz & Gonzalo García-Donato & Andrés Mora-Valencia, 2019. "Quantifying Risk in Traditional Energy and Sustainable Investments," Sustainability, MDPI, vol. 11(3), pages 1-22, January.
    36. Urban, Timothy L. & Chiang, Wen-Chyuan, 2016. "Designing energy-efficient serial production lines: The unpaced synchronous line-balancing problem," European Journal of Operational Research, Elsevier, vol. 248(3), pages 789-801.
    37. Crossland, Jarrod & Li, Bin & Roca, Eduardo, 2013. "Is the European Union Emissions Trading Scheme (EU ETS) informationally efficient? Evidence from momentum-based trading strategies," Applied Energy, Elsevier, vol. 109(C), pages 10-23.
    38. Chai, Shanglei & Zhou, P., 2018. "The Minimum-CVaR strategy with semi-parametric estimation in carbon market hedging problems," Energy Economics, Elsevier, vol. 76(C), pages 64-75.

  79. Shiwei Yu & Yi-Ming Wei & Jing-Li Fan & Xian Zhang & Ke Wang, 2011. "Exploring the regional characteristics of inter-provincial CO2 emissions in China:An improved fuzzy clustering analysis based on particle swarm optimization," CEEP-BIT Working Papers 22, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.

    Cited by:

    1. Yu, Shiwei & Wei, Yi-Ming & Wang, Ke, 2014. "Provincial allocation of carbon emission reduction targets in China: An approach based on improved fuzzy cluster and Shapley value decomposition," Energy Policy, Elsevier, vol. 66(C), pages 630-644.
    2. Yu, Shiwei & Zhang, Junjie & Zheng, Shuhong & Sun, Han, 2015. "Provincial carbon intensity abatement potential estimation in China: A PSO–GA-optimized multi-factor environmental learning curve method," Energy Policy, Elsevier, vol. 77(C), pages 46-55.
    3. Gong, Bing & Zheng, Xiaochen & Guo, Qing & Ordieres-Meré, Joaquín, 2019. "Discovering the patterns of energy consumption, GDP, and CO2 emissions in China using the cluster method," Energy, Elsevier, vol. 166(C), pages 1149-1167.
    4. Wasniewski, Krzysztof, 2020. "Energy efficiency as manifestation of collective intelligence in human societies," Energy, Elsevier, vol. 191(C).
    5. Chen, Yibo & Zhang, Fengyi & Berardi, Umberto, 2020. "Day-ahead prediction of hourly subentry energy consumption in the building sector using pattern recognition algorithms," Energy, Elsevier, vol. 211(C).
    6. Jia Wei & Hong Chen & Ruyin Long, 2018. "Determining Multi-Layer Factors That Drive the Carbon Capability of Urban Residents in Response to Climate Change: An Exploratory Qualitative Study in China," IJERPH, MDPI, vol. 15(8), pages 1-19, July.
    7. Ye, Bin & Jiang, JingJing & Li, Changsheng & Miao, Lixin & Tang, Jie, 2017. "Quantification and driving force analysis of provincial-level carbon emissions in China," Applied Energy, Elsevier, vol. 198(C), pages 223-238.
    8. Cheng, Shulei & Fan, Wei & Zhang, Jian & Wang, Ning & Meng, Fanxin & Liu, Gengyuan, 2021. "Multi-sectoral determinants of carbon emission inequality in Chinese clustering cities," Energy, Elsevier, vol. 214(C).
    9. Song, Yi & Huang, Jian-Bai & Feng, Chao, 2018. "Decomposition of energy-related CO2 emissions in China's iron and steel industry: A comprehensive decomposition framework," Resources Policy, Elsevier, vol. 59(C), pages 103-116.
    10. Wang, Miao & Feng, Chao, 2017. "Decomposition of energy-related CO2 emissions in China: An empirical analysis based on provincial panel data of three sectors," Applied Energy, Elsevier, vol. 190(C), pages 772-787.
    11. Qunli Wu & Hongjie Zhang, 2019. "Research on Optimization Allocation Scheme of Initial Carbon Emission Quota from the Perspective of Welfare Effect," Energies, MDPI, vol. 12(11), pages 1-27, June.
    12. Yanbin Li & Zhen Li & Min Wu & Feng Zhang & Gejirifu De, 2018. "Regional-Level Allocation of CO 2 Emission Permits in China: Evidence from the Boltzmann Distribution Method," Sustainability, MDPI, vol. 10(8), pages 1-16, July.
    13. Zhang, Yue-Jun & Wang, Ao-Dong & Da, Ya-Bin, 2014. "Regional allocation of carbon emission quotas in China: Evidence from the Shapley value method," Energy Policy, Elsevier, vol. 74(C), pages 454-464.
    14. Yue-Jun Zhang & Zhao Liu & Huan Zhang & Tai-De Tan, 2014. "The impact of economic growth, industrial structure and urbanization on carbon emission intensity in China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 73(2), pages 579-595, September.
    15. Yulan Lv & Yumeng Pang & Buhari Doğan, 2022. "The role of Chinese fiscal decentralization in the governance of carbon emissions: perspectives from spatial effects decomposition and its heterogeneity," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 68(3), pages 635-668, June.
    16. Su, Yongxian & Chen, Xiuzhi & Li, Yong & Liao, Jishan & Ye, Yuyao & Zhang, Hongou & Huang, Ningsheng & Kuang, Yaoqiu, 2014. "China׳s 19-year city-level carbon emissions of energy consumptions, driving forces and regionalized mitigation guidelines," Renewable and Sustainable Energy Reviews, Elsevier, vol. 35(C), pages 231-243.
    17. Menghan Zhang & Suocheng Dong & Fujia Li & Shuangjie Xu & Kexin Guo & Qian Liu, 2022. "Spatial–Temporal Evolution and Improvement Measures of Embodied Carbon Emissions in Interprovincial Trade for Coal Energy Supply Bases: Case Study of Anhui, China," IJERPH, MDPI, vol. 19(24), pages 1-16, December.
    18. Ming Meng & Lixue Wang & Qu Chen, 2018. "Quota Allocation for Carbon Emissions in China’s Electric Power Industry Based Upon the Fairness Principle," Energies, MDPI, vol. 11(9), pages 1-16, August.
    19. Zhang, Kun & Zhang, Zong-Yong & Liang, Qiao-Mei, 2017. "An empirical analysis of the green paradox in China: From the perspective of fiscal decentralization," Energy Policy, Elsevier, vol. 103(C), pages 203-211.
    20. Yue-Jun Zhang & Jun-Fang Hao, 2015. "The allocation of carbon emission intensity reduction target by 2020 among provinces in China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 79(2), pages 921-937, November.
    21. Baklacioglu, Tolga & Turan, Onder & Aydin, Hakan, 2015. "Dynamic modeling of exergy efficiency of turboprop engine components using hybrid genetic algorithm-artificial neural networks," Energy, Elsevier, vol. 86(C), pages 709-721.
    22. Tang, Ling & Wu, Jiaqian & Yu, Lean & Bao, Qin, 2015. "Carbon emissions trading scheme exploration in China: A multi-agent-based model," Energy Policy, Elsevier, vol. 81(C), pages 152-169.
    23. Feng, Zhiying & Tang, Wenhu & Niu, Zhewen & Wu, Qinghua, 2018. "Bi-level allocation of carbon emission permits based on clustering analysis and weighted voting: A case study in China," Applied Energy, Elsevier, vol. 228(C), pages 1122-1135.
    24. Hao, Ying & Dong, Lei & Liao, Xiaozhong & Liang, Jun & Wang, Lijie & Wang, Bo, 2019. "A novel clustering algorithm based on mathematical morphology for wind power generation prediction," Renewable Energy, Elsevier, vol. 136(C), pages 572-585.
    25. Lu, Heli & Liu, Guifang, 2014. "Spatial effects of carbon dioxide emissions from residential energy consumption: A county-level study using enhanced nocturnal lighting," Applied Energy, Elsevier, vol. 131(C), pages 297-306.
    26. Qingwei Shi & Jingxin Gao & Xia Wang & Hong Ren & Weiguang Cai & Haifeng Wei, 2020. "Temporal and Spatial Variability of Carbon Emission Intensity of Urban Residential Buildings: Testing the Effect of Economics and Geographic Location in China," Sustainability, MDPI, vol. 12(7), pages 1-23, March.
    27. Chang, Kai & Chang, Hao, 2016. "Cutting CO2 intensity targets of interprovincial emissions trading in China," Applied Energy, Elsevier, vol. 163(C), pages 211-221.
    28. Xin Yang & Chunbo Ma & Anlu Zhang, 2016. "Decomposition of Net CO 2 Emission in the Wuhan Metropolitan Area of Central China," Sustainability, MDPI, vol. 8(8), pages 1-13, August.
    29. Wei Li & Shuang Sun & Hao Li, 2015. "Decomposing the decoupling relationship between energy-related CO 2 emissions and economic growth in China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 79(2), pages 977-997, November.
    30. Pan, Xunzhang & Teng, Fei & Wang, Gehua, 2014. "Sharing emission space at an equitable basis: Allocation scheme based on the equal cumulative emission per capita principle," Applied Energy, Elsevier, vol. 113(C), pages 1810-1818.
    31. Jung, Seok & An, Kyoung-Jin & Dodbiba, Gjergj & Fujita, Toyohisa, 2012. "Regional energy-related carbon emission characteristics and potential mitigation in eco-industrial parks in South Korea: Logarithmic mean Divisia index analysis based on the Kaya identity," Energy, Elsevier, vol. 46(1), pages 231-241.
    32. Guo, Xuepeng & Pang, Jun, 2023. "Analysis of provincial CO2 emission peaking in China: Insights from production and consumption," Applied Energy, Elsevier, vol. 331(C).
    33. Liu, Liwei & Zong, Haijing & Zhao, Erdong & Chen, Chuxiang & Wang, Jianzhou, 2014. "Can China realize its carbon emission reduction goal in 2020: From the perspective of thermal power development," Applied Energy, Elsevier, vol. 124(C), pages 199-212.
    34. Wei, Jia & Chen, Hong & Long, Ruyin, 2016. "Is ecological personality always consistent with low-carbon behavioral intention of urban residents?," Energy Policy, Elsevier, vol. 98(C), pages 343-352.
    35. Min Yang & Qingxian An & Tao Ding & Pengzhen Yin & Liang Liang, 2019. "Carbon emission allocation in China based on gradually efficiency improvement and emission reduction planning principle," Annals of Operations Research, Springer, vol. 278(1), pages 123-139, July.
    36. Dong, Huijuan & Dai, Hancheng & Geng, Yong & Fujita, Tsuyoshi & Liu, Zhe & Xie, Yang & Wu, Rui & Fujii, Minoru & Masui, Toshihiko & Tang, Liang, 2017. "Exploring impact of carbon tax on China’s CO2 reductions and provincial disparities," Renewable and Sustainable Energy Reviews, Elsevier, vol. 77(C), pages 596-603.
    37. Zeng, Qingshun & Shi, Changfeng & Zhu, Wenjun & Zhi, Jiaqi & Na, Xiaohong, 2023. "Sequential data-driven carbon peaking path simulation research of the Yangtze River Delta urban agglomeration based on semantic mining and heuristic algorithm optimization," Energy, Elsevier, vol. 285(C).
    38. Jing-Li Fan & Hua Liao & Bao-Jun Tang & Su-Yan Pan & Hao Yu & Yi-Ming Wei, 2016. "The impacts of migrant workers consumption on energy use and CO 2 emissions in China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 81(2), pages 725-743, March.
    39. Fan, Jing-Li & Hou, Yun-Bing & Wang, Qian & Wang, Ce & Wei, Yi-Ming, 2016. "Exploring the characteristics of production-based and consumption-based carbon emissions of major economies: A multiple-dimension comparison," Applied Energy, Elsevier, vol. 184(C), pages 790-799.
    40. Xing Zhou & Meihua Zhou & Ming Zhang, 2016. "Contrastive analyses of the influence factors of interprovincial carbon emission induced by industry energy in China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 81(3), pages 1405-1433, April.
    41. Quan Guo & Zijing Liang & Xiang Bai & Mengnan Lv & Anying Zhang, 2022. "The Analysis of Carbon Emission’s Characteristics and Dynamic Evolution Based on the Strategy of Unbalanced Regional Economic Development in China," Sustainability, MDPI, vol. 14(14), pages 1-31, July.
    42. Huang, Caihong & Zhang, Xiaoqing & Liu, Kai, 2021. "Effects of human capital structural evolution on carbon emissions intensity in China: A dual perspective of spatial heterogeneity and nonlinear linkages," Renewable and Sustainable Energy Reviews, Elsevier, vol. 135(C).
    43. Chang, Kai & Zhang, Chao & Chang, Hao, 2016. "Emissions reduction allocation and economic welfare estimation through interregional emissions trading in China: Evidence from efficiency and equity," Energy, Elsevier, vol. 113(C), pages 1125-1135.
    44. Wang, Miao & Feng, Chao, 2018. "Using an extended logarithmic mean Divisia index approach to assess the roles of economic factors on industrial CO2 emissions of China," Energy Economics, Elsevier, vol. 76(C), pages 101-114.
    45. Jia Wei & Hong Chen & Ruyin Long, 2018. "Diffusion Paths and Guiding Policy for Urban Residents’ Carbon Identification Capability: Simulation Analysis from the Perspective of Relation Strength and Personal Carbon Trading," Sustainability, MDPI, vol. 10(6), pages 1-19, May.
    46. Yazdanie, Mashael & Densing, Martin & Wokaun, Alexander, 2018. "The nationwide characterization and modeling of local energy systems: Quantifying the role of decentralized generation and energy resources in future communities," Energy Policy, Elsevier, vol. 118(C), pages 516-533.
    47. Lin, Huaxing & Zhou, Ziqian & Chen, Shun & Jiang, Ping, 2023. "Clustering and assessing carbon peak statuses of typical cities in underdeveloped Western China," Applied Energy, Elsevier, vol. 329(C).

  80. Ke Wang & Yi-Ming Wei & Xian Zhang, 2011. "A comparative analysis of China's regional energy and emission performance: Which is the better way to deal with undesirable outputs?," CEEP-BIT Working Papers 24, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.

    Cited by:

    1. Ke Wang & Chia-Yen Lee & Jieming Zhang & Yi-Ming Wei, 2016. "Operational performance management of the power industry: A distinguishing analysis between effectiveness and efficiency," CEEP-BIT Working Papers 93, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
    2. Ke Wang & Xian Zhang & Yi-Ming Wei & Shiwei Yu, 2011. "Regional allocation of CO2 emissions allowance over provinces in China by 2020," CEEP-BIT Working Papers 18, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
    3. Sueyoshi, Toshiyuki & Yuan, Yan & Goto, Mika, 2017. "A literature study for DEA applied to energy and environment," Energy Economics, Elsevier, vol. 62(C), pages 104-124.
    4. Barros, Carlos Pestana & Chen, Zhongfei & Managi, Shunsuke & Antunes, Olinda Sequeira, 2013. "Examining the cost efficiency of Chinese hydroelectric companies using a finite mixture model," Energy Economics, Elsevier, vol. 36(C), pages 511-517.
    5. Toshiyuki Sueyoshi & Yan Yuan & Aijun Li & Daoping Wang, 2017. "Social Sustainability of Provinces in China: A Data Envelopment Analysis (DEA) Window Analysis under the Concepts of Natural and Managerial Disposability," Sustainability, MDPI, vol. 9(11), pages 1-18, November.
    6. Wu, Haitao & Hao, Yu & Ren, Siyu, 2020. "How do environmental regulation and environmental decentralization affect green total factor energy efficiency: Evidence from China," Energy Economics, Elsevier, vol. 91(C).
    7. Luo, Lan & Chen, Hao & Yang, Yue & Wu, Guangdong & Chen, Long, 2022. "A three-stage network DEA approach for performance evaluation of BIM application in construction projects," Technology in Society, Elsevier, vol. 71(C).
    8. Meng, Fanyi & Su, Bin & Thomson, Elspeth & Zhou, Dequn & Zhou, P., 2016. "Measuring China’s regional energy and carbon emission efficiency with DEA models: A survey," Applied Energy, Elsevier, vol. 183(C), pages 1-21.
    9. Kai Xu & Lawrence Loh & Qiang Chen, 2020. "Sustainable Innovation Governance: An Analysis of Regional Innovation with a Super Efficiency Slack-Based Measure Model," Sustainability, MDPI, vol. 12(7), pages 1-19, April.
    10. Li, Ying & Chiu, Yung-ho & Lu, Liang Chun, 2018. "Energy and AQI performance of 31 cities in China," Energy Policy, Elsevier, vol. 122(C), pages 194-202.
    11. Jialu Su & Zhiqiang Ma & Yan Wang & Xinxing Wang, 2023. "Evaluation and Spatial Correlation Analysis of Green Economic Growth Efficiency in Yangtze River Delta Urban Agglomeration," Sustainability, MDPI, vol. 15(3), pages 1-23, January.
    12. Ke Wang & Yujiao Xian & Chia-Yen Lee & Yi-Ming Wei & Zhimin Huang, 2019. "On selecting directions for directional distance functions in a non-parametric framework: a review," Annals of Operations Research, Springer, vol. 278(1), pages 43-76, July.
    13. Sueyoshi, Toshiyuki & Yuan, Yan, 2016. "Returns to damage under undesirable congestion and damages to return under desirable congestion measured by DEA environmental assessment with multiplier restriction: Economic and energy planning for s," Energy Economics, Elsevier, vol. 56(C), pages 288-309.
    14. Ke Wang & Yi-Ming Wei & Zhimin Huang, 2015. "Potential gains from carbon emissions trading in China: A DEA based estimation on abatement cost savings," CEEP-BIT Working Papers 84, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
    15. Zhou, P. & Sun, Z.R. & Zhou, D.Q., 2014. "Optimal path for controlling CO2 emissions in China: A perspective of efficiency analysis," Energy Economics, Elsevier, vol. 45(C), pages 99-110.
    16. Zhigang Zhu & Xuping Zhang & Yujia Wang & Xiang Chen, 2021. "Energy Cost Performance of Thermal Power Industry in China Considering Regional Heterogeneity: A Meta-Frontier Cost Malmquist Productivity Decomposition Approach," Sustainability, MDPI, vol. 13(12), pages 1-19, June.
    17. Xiangyu Teng & Liang Chun Lu & Yung-ho Chiu, 2018. "Considering Emission Treatment for Energy-Efficiency Improvement and Air Pollution Reduction in China’s Industrial Sector," Sustainability, MDPI, vol. 10(11), pages 1-18, November.
    18. Ying Li & Yung-Ho Chiu & Liang Chun Lu, 2018. "Regional Energy, CO 2 , and Economic and Air Quality Index Performances in China: A Meta-Frontier Approach," Energies, MDPI, vol. 11(8), pages 1-20, August.
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    2. Xu Tang & Benjamin C. McLellan & Simon Snowden & Baosheng Zhang & Mikael Höök, 2015. "Dilemmas for China: Energy, Economy and Environment," Sustainability, MDPI, vol. 7(5), pages 1-13, May.

  82. Jing-Li Fan & Hua Liao & Qiao-Mei Liang & Hirokazu Tatano & Chun-Feng Liu & Yi-Ming Wei, 2011. "Residential carbon emission evolutions in urban-rural divided China: An end-use and behavior analysis," CEEP-BIT Working Papers 16, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.

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    2. Jie-fang Dong & Qiang Wang & Chun Deng & Xing-min Wang & Xiao-lei Zhang, 2016. "How to Move China toward a Green-Energy Economy: From a Sector Perspective," Sustainability, MDPI, vol. 8(4), pages 1-18, April.
    3. Yong Yang & Junsong Jia & Chundi Chen, 2020. "Residential Energy-Related CO 2 Emissions in China’s Less Developed Regions: A Case Study of Jiangxi," Sustainability, MDPI, vol. 12(5), pages 1-28, March.
    4. Lina Liu & Jiansheng Qu & Tek Narayan Maraseni & Yibo Niu & Jingjing Zeng & Lihua Zhang & Li Xu, 2020. "Household CO 2 Emissions: Current Status and Future Perspectives," IJERPH, MDPI, vol. 17(19), pages 1-19, September.
    5. Hongwei Xiao & Zhongyu Ma & Peng Zhang & Ming Liu, 2019. "Study of the impact of energy consumption structure on carbon emission intensity in China from the perspective of spatial effects," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 99(3), pages 1365-1380, December.
    6. Wang, Bing & Wang, Qian & Wei, Yi-Ming & Li, Zhi-Ping, 2018. "Role of renewable energy in China’s energy security and climate change mitigation: An index decomposition analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 90(C), pages 187-194.
    7. Fan, Jianshuang & Zhou, Lin & Zhang, Yan & Shao, Shuai & Ma, Miao, 2021. "How does population aging affect household carbon emissions? Evidence from Chinese urban and rural areas," Energy Economics, Elsevier, vol. 100(C).
    8. Ding, Qun & Cai, Wenjia & Wang, Can & Sanwal, Mukul, 2017. "The relationships between household consumption activities and energy consumption in china— An input-output analysis from the lifestyle perspective," Applied Energy, Elsevier, vol. 207(C), pages 520-532.
    9. Guozhong Zheng & Wentao Bu, 2018. "Review of Heating Methods for Rural Houses in China," Energies, MDPI, vol. 11(12), pages 1-18, December.
    10. Hu, Zongyi & Tang, Liwei, 2013. "Exploring the relation between urbanization and residential CO2 emissions in China: a PTR approach," MPRA Paper 55379, University Library of Munich, Germany.
    11. Wenwen Wang & Ming Zhang, 2015. "Direct and indirect energy consumption of rural households in China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 79(3), pages 1693-1705, December.
    12. Zhen, Wei & Zhong, Zhangqi & Wang, Yichen & Miao, Lu & Qin, Quande & Wei, Yi-Ming, 2019. "Evolution of urban household indirect carbon emission responsibility from an inter-sectoral perspective: A case study of Guangdong, China," Energy Economics, Elsevier, vol. 83(C), pages 197-207.
    13. Liu, Lan-Cui & Wu, Gang, 2013. "Relating five bounded environmental problems to China's household consumption in 2011–2015," Energy, Elsevier, vol. 57(C), pages 427-433.
    14. Jingjing Chen & Yangyang Lin & Xiaojun Wang & Bingjing Mao & Lihong Peng, 2022. "Direct and Indirect Carbon Emission from Household Consumption Based on LMDI and SDA Model: A Decomposition and Comparison Analysis," Energies, MDPI, vol. 15(14), pages 1-22, July.
    15. Fan, Jing-Li & Zhang, Yue-Jun & Wang, Bing, 2017. "The impact of urbanization on residential energy consumption in China: An aggregated and disaggregated analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 75(C), pages 220-233.
    16. Yuan, Baolong & Ren, Shenggang & Chen, Xiaohong, 2015. "The effects of urbanization, consumption ratio and consumption structure on residential indirect CO2 emissions in China: A regional comparative analysis," Applied Energy, Elsevier, vol. 140(C), pages 94-106.
    17. Zhou, Qiang & Liu, Yong & Qu, Shen, 2022. "Emission effects of China's rural revitalization: The nexus of infrastructure investment, household income, and direct residential CO2 emissions," Renewable and Sustainable Energy Reviews, Elsevier, vol. 167(C).
    18. Libiao Bai & Hailing Wang & Chunming Shi & Qiang Du & Yi Li, 2017. "Assessment of SIP Buildings for Sustainable Development in Rural China Using AHP-Grey Correlation Analysis," IJERPH, MDPI, vol. 14(11), pages 1-12, October.
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    41. Sirous Ghanbari & Mohammad Reza Mansouri Daneshvar, 2021. "Urban and rural contribution to the GHG emissions in the MECA countries," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(4), pages 6418-6452, April.
    42. Chen, Yilin & Shen, Huizhong & Zhong, Qirui & Chen, Han & Huang, Tianbo & Liu, Junfeng & Cheng, Hefa & Zeng, Eddy Y. & Smith, Kirk R. & Tao, Shu, 2016. "Transition of household cookfuels in China from 2010 to 2012," Applied Energy, Elsevier, vol. 184(C), pages 800-809.
    43. Zheng Wang & Shaojian Wang & Chuanhao Lu & Lei Hu, 2022. "Which Factors Influence the Regional Difference of Urban–Rural Residential CO 2 Emissions? A Case Study by Cross-Regional Panel Analysis in China," Land, MDPI, vol. 11(5), pages 1-19, April.
    44. Pedro J. Zarco-Periñán & Fco Javier Zarco-Soto & Irene M. Zarco-Soto & José L. Martínez-Ramos & Rafael Sánchez-Durán, 2022. "CO 2 Emissions in Buildings: A Synopsis of Current Studies," Energies, MDPI, vol. 15(18), pages 1-10, September.
    45. Lina Liu & Jiansheng Qu & Afton Clarke-Sather & Tek Narayan Maraseni & Jiaxing Pang, 2017. "Spatial Variations and Determinants of Per Capita Household CO 2 Emissions (PHCEs) in China," Sustainability, MDPI, vol. 9(7), pages 1-19, July.
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    Cited by:

    1. Meng, Ming & Niu, Dongxiao, 2012. "Three-dimensional decomposition models for carbon productivity," Energy, Elsevier, vol. 46(1), pages 179-187.
    2. Yu, Hui & Li, Ying & Wang, Wei, 2023. "Optimal innovation strategies of automakers with market competition under the dual-credit policy," Energy, Elsevier, vol. 283(C).
    3. Zhu, Jiaming & Wu, Peng & Chen, Huayou & Liu, Jinpei & Zhou, Ligang, 2019. "Carbon price forecasting with variational mode decomposition and optimal combined model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 519(C), pages 140-158.
    4. Wang, Xiao-Qing & Su, Chi-Wei & Lobonţ, Oana-Ramona & Li, Hao & Nicoleta-Claudia, Moldovan, 2022. "Is China's carbon trading market efficient? Evidence from emissions trading scheme pilots," Energy, Elsevier, vol. 245(C).
    5. Xu, Jia & Tan, Xiujie & He, Gang & Liu, Yu, 2019. "Disentangling the drivers of carbon prices in China's ETS pilots — An EEMD approach," Technological Forecasting and Social Change, Elsevier, vol. 139(C), pages 1-9.
    6. Feng, Zhen-Hua & Wei, Yi-Ming & Wang, Kai, 2012. "Estimating risk for the carbon market via extreme value theory: An empirical analysis of the EU ETS," Applied Energy, Elsevier, vol. 99(C), pages 97-108.
    7. Gong, Xu & Lin, Boqiang, 2019. "Modeling stock market volatility using new HAR-type models," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 516(C), pages 194-211.
    8. Corinne Chaton & Anna Créti & Benoit Peluchon, 2013. "Banking and backloading emission permits," Working Papers hal-00915944, HAL.
    9. Chang, Kai & Chen, Rongda & Chevallier, Julien, 2018. "Market fragmentation, liquidity measures and improvement perspectives from China's emissions trading scheme pilots," Energy Economics, Elsevier, vol. 75(C), pages 249-260.
    10. Wang, Jiqian & Guo, Xiaozhu & Tan, Xueping & Chevallier, Julien & Ma, Feng, 2023. "Which exogenous driver is informative in forecasting European carbon volatility: Bond, commodity, stock or uncertainty?," Energy Economics, Elsevier, vol. 117(C).
    11. Jianguo Zhou & Xuechao Yu & Xiaolei Yuan, 2018. "Predicting the Carbon Price Sequence in the Shenzhen Emissions Exchange Using a Multiscale Ensemble Forecasting Model Based on Ensemble Empirical Mode Decomposition," Energies, MDPI, vol. 11(7), pages 1-17, July.
    12. Jiaxin Han & Enkhjargal Dalaibaatar, 2023. "A Study on the Influencing Factors of China’s Ecological Footprint Based on EEMD–GeoDetector," Sustainability, MDPI, vol. 15(8), pages 1-15, April.
    13. Zhou, Kaile & Yang, Shanlin & Shao, Zhen, 2016. "Energy Internet: The business perspective," Applied Energy, Elsevier, vol. 178(C), pages 212-222.
    14. Jianguo Zhou & Xuejing Huo & Xiaolei Xu & Yushuo Li, 2019. "Forecasting the Carbon Price Using Extreme-Point Symmetric Mode Decomposition and Extreme Learning Machine Optimized by the Grey Wolf Optimizer Algorithm," Energies, MDPI, vol. 12(5), pages 1-22, March.

  84. Cong, Rong-Gang & Wei, Yi-Ming, 2010. "Potential impact of (CET) carbon emissions trading on China’s power sector: A perspective from different allowance allocation options," MPRA Paper 52775, University Library of Munich, Germany.

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    1. Rong-Gang Cong & Mark Brady, 2012. "How to Design a Targeted Agricultural Subsidy System: Efficiency or Equity?," PLOS ONE, Public Library of Science, vol. 7(8), pages 1-12, August.
    2. Munnings, Clayton & Morgenstern, Richard D. & Wang, Zhongmin & Liu, Xu, 2016. "Assessing the design of three carbon trading pilot programs in China," Energy Policy, Elsevier, vol. 96(C), pages 688-699.
    3. Wei, Yigang & Liang, Xin & Xu, Liang & Kou, Gang & Chevallier, Julien, 2023. "Trading, storage, or penalty? Uncovering firms' decision-making behavior in the Shanghai emissions trading scheme: Insights from agent-based modeling," Energy Economics, Elsevier, vol. 117(C).
    4. Cong, Rong-Gang, 2013. "An optimization model for renewable energy generation and its application in China: A perspective of maximum utilization," Renewable and Sustainable Energy Reviews, Elsevier, vol. 17(C), pages 94-103.
    5. Lin, Boqiang & Chen, Yufang, 2019. "Dynamic linkages and spillover effects between CET market, coal market and stock market of new energy companies: A case of Beijing CET market in China," Energy, Elsevier, vol. 172(C), pages 1198-1210.
    6. Zhang, Weijie & Zhang, Ning & Yu, Yanni, 2019. "Carbon mitigation effects and potential cost savings from carbon emissions trading in China's regional industry," Technological Forecasting and Social Change, Elsevier, vol. 141(C), pages 1-11.
    7. Zhang, Hui & Cao, Libin & Zhang, Bing, 2017. "Emissions trading and technology adoption: An adaptive agent-based analysis of thermal power plants in China," Resources, Conservation & Recycling, Elsevier, vol. 121(C), pages 23-32.
    8. Hong, Zitao & Peng, Zhen & Zhang, Liumei, 2022. "Game analysis on the choice of emission trading among industrial enterprises driven by data," Energy, Elsevier, vol. 239(PE).
    9. Karplus, Valerie J. & Rausch, Sebastian & Zhang, Da, 2016. "Energy caps: Alternative climate policy instruments for China?," Energy Economics, Elsevier, vol. 56(C), pages 422-431.
    10. Xiao-Yi Li & Bao-Jun Tang, 2017. "Incorporating the transport sector into carbon emission trading scheme: an overview and outlook," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 88(2), pages 683-698, September.
    11. Zhang, Yue-Jun & Wang, Wei, 2021. "How does China's carbon emissions trading (CET) policy affect the investment of CET-covered enterprises?," Energy Economics, Elsevier, vol. 98(C).
    12. Ke Wang & Yujiao Xian & Chia-Yen Lee & Yi-Ming Wei & Zhimin Huang, 2019. "On selecting directions for directional distance functions in a non-parametric framework: a review," Annals of Operations Research, Springer, vol. 278(1), pages 43-76, July.
    13. Choi, Yongrok & Zhang, Ning & Zhou, P., 2012. "Efficiency and abatement costs of energy-related CO2 emissions in China: A slacks-based efficiency measure," Applied Energy, Elsevier, vol. 98(C), pages 198-208.
    14. Xiao, Hongwei & Ma, Zhongyu & Mi, Zhifu & Kelsey, John & Zheng, Jiali & Yin, Weihua & Yan, Min, 2018. "Spatio-temporal simulation of energy consumption in China's provinces based on satellite night-time light data," Applied Energy, Elsevier, vol. 231(C), pages 1070-1078.
    15. Liu, Beibei & He, Pan & Zhang, Bing & Bi, Jun, 2012. "Impacts of alternative allowance allocation methods under a cap-and-trade program in power sector," Energy Policy, Elsevier, vol. 47(C), pages 405-415.
    16. Ke Wang & Yi-Ming Wei & Zhimin Huang, 2015. "Potential gains from carbon emissions trading in China: A DEA based estimation on abatement cost savings," CEEP-BIT Working Papers 84, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
    17. Zhou, Yang & Liu, Yansui, 2016. "Does population have a larger impact on carbon dioxide emissions than income? Evidence from a cross-regional panel analysis in China," Applied Energy, Elsevier, vol. 180(C), pages 800-809.
    18. Tian, Xu & Dai, Hancheng & Geng, Yong & Huang, Zhen & Masui, Toshihiko & Fujita, Tsuyoshi, 2017. "The effects of carbon reduction on sectoral competitiveness in China: A case of Shanghai," Applied Energy, Elsevier, vol. 197(C), pages 270-278.
    19. Yu-Jie Hu & Lishan Yang & Fali Duan & Honglei Wang & Chengjiang Li, 2022. "A Scientometric Analysis and Review of the Emissions Trading System," Energies, MDPI, vol. 15(12), pages 1-20, June.
    20. Koo, Choongwan & Hong, Taehoon, 2015. "Development of a dynamic operational rating system in energy performance certificates for existing buildings: Geostatistical approach and data-mining technique," Applied Energy, Elsevier, vol. 154(C), pages 254-270.
    21. Ouyang, Xiaoling & Lin, Boqiang, 2015. "An analysis of the driving forces of energy-related carbon dioxide emissions in China’s industrial sector," Renewable and Sustainable Energy Reviews, Elsevier, vol. 45(C), pages 838-849.
    22. Junjun Zheng & Mingmiao Yang & Gang Ma & Qian Xu & Yujie He, 2020. "Multi-Agents-Based Modeling and Simulation for Carbon Permits Trading in China: A Regional Development Perspective," IJERPH, MDPI, vol. 17(1), pages 1-20, January.
    23. Tan, Qinliang & Han, Jian & Liu, Yuan, 2023. "Examining the synergistic diffusion process of carbon capture and renewable energy generation technologies under market environment: A multi-agent simulation analysis," Energy, Elsevier, vol. 282(C).
    24. Zhao, Xiaoli & Yin, Haitao & Zhao, Yue, 2015. "Impact of environmental regulations on the efficiency and CO2 emissions of power plants in China," Applied Energy, Elsevier, vol. 149(C), pages 238-247.
    25. Zhifu Mi & Hua Liao & D’Maris Coffman & Yi-Ming Wei, 2019. "Assessment of equity principles for international climate policy based on an integrated assessment model," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 95(1), pages 309-323, January.
    26. Wesseh, Presley K. & Lin, Boqiang, 2016. "Modeling environmental policy with and without abatement substitution: A tradeoff between economics and environment?," Applied Energy, Elsevier, vol. 167(C), pages 34-43.
    27. Ji, Jingna & Zhang, Zhiyong & Yang, Lei, 2017. "Comparisons of initial carbon allowance allocation rules in an O2O retail supply chain with the cap-and-trade regulation," International Journal of Production Economics, Elsevier, vol. 187(C), pages 68-84.
    28. Wang, Tan & Gong, Yu & Jiang, Chuanwen, 2014. "A review on promoting share of renewable energy by green-trading mechanisms in power system," Renewable and Sustainable Energy Reviews, Elsevier, vol. 40(C), pages 923-929.
    29. Zhang, Yue-Jun & Wang, Ao-Dong & Tan, Weiping, 2015. "The impact of China's carbon allowance allocation rules on the product prices and emission reduction behaviors of ETS-covered enterprises," Energy Policy, Elsevier, vol. 86(C), pages 176-185.
    30. Zhi-Fu Mi & Su-Yan Pan & Hao Yu & Yi-Ming Wei, 2014. "Potential impacts of industrial structure on energy consumption and CO2 emission: a case study of Beijing," CEEP-BIT Working Papers 51, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
    31. Fan, John Hua & Todorova, Neda, 2017. "Dynamics of China’s carbon prices in the pilot trading phase," Applied Energy, Elsevier, vol. 208(C), pages 1452-1467.
    32. Ping Che & Yanyan Zhang & Jin Lang, 2019. "Emission-Intensity-Based Carbon Tax and Its Impact on Generation Self-Scheduling," Energies, MDPI, vol. 12(5), pages 1-17, February.
    33. Corinne Chaton & Anna Créti & Benoit Peluchon, 2013. "Banking and backloading emission permits," Working Papers hal-00915944, HAL.
    34. Zhao, Xiaoli & Cai, Qiong & Zhang, Sufang & Luo, Kaiyan, 2017. "The substitution of wind power for coal-fired power to realize China's CO2 emissions reduction targets in 2020 and 2030," Energy, Elsevier, vol. 120(C), pages 164-178.
    35. Zhu, Rongqi & Wei, Yigang & Tan, Longyan, 2024. "Low-carbon technology adoption and diffusion with heterogeneity in the emissions trading scheme," Applied Energy, Elsevier, vol. 369(C).
    36. Yongrok Choi & Yunning Ma & Yu Zhao & Hyoungsuk Lee, 2023. "Inequality in Fossil Fuel Power Plants in China: A Perspective of Efficiency and Abatement Cost," Sustainability, MDPI, vol. 15(5), pages 1-15, March.
    37. Xu, Mei & Xie, Pu & Xie, Bai-Chen, 2020. "Study of China's optimal solar photovoltaic power development path to 2050," Resources Policy, Elsevier, vol. 65(C).
    38. Li, Meng & Gao, Yuning & Meng, Bo & Yang, Zhusong, 2021. "Managing the mitigation: Analysis of the effectiveness of target-based policies on China's provincial carbon emission and transfer," Energy Policy, Elsevier, vol. 151(C).
    39. Fan, Jing-Li & Da, Ya-Bin & Wan, Si-Lai & Zhang, Mian & Cao, Zhe & Wang, Yu & Zhang, Xian, 2019. "Determinants of carbon emissions in ‘Belt and Road initiative’ countries: A production technology perspective," Applied Energy, Elsevier, vol. 239(C), pages 268-279.
    40. Rabia Shahid & Shijie Li & Jian Gao & Muhammad Ahsan Altaf & Atif Jahanger & Awais Shakoor, 2022. "The Carbon Emission Trading Policy of China: Does It Really Boost the Environmental Upgrading?," Energies, MDPI, vol. 15(16), pages 1-13, August.
    41. Shahnazari, Mahdi & McHugh, Adam & Maybee, Bryan & Whale, Jonathan, 2014. "Evaluation of power investment decisions under uncertain carbon policy: A case study for converting coal fired steam turbine to combined cycle gas turbine plants in Australia," Applied Energy, Elsevier, vol. 118(C), pages 271-279.
    42. Tang, Ling & Wu, Jiaqian & Yu, Lean & Bao, Qin, 2015. "Carbon emissions trading scheme exploration in China: A multi-agent-based model," Energy Policy, Elsevier, vol. 81(C), pages 152-169.
    43. Yi-Hua Wu & Hancheng Dai & Yang Xie & Toshihiko Masui, 2019. "The efforts of Taiwan to achieve NDC target: an integrated assessment on the carbon emission trading system," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 99(3), pages 1295-1310, December.
    44. Hanak, D.P. & Kolios, A.J. & Biliyok, C. & Manovic, V., 2015. "Probabilistic performance assessment of a coal-fired power plant," Applied Energy, Elsevier, vol. 139(C), pages 350-364.
    45. Zhao, Xiaoli & Ma, Qian & Yang, Rui, 2013. "Factors influencing CO2 emissions in China's power industry: Co-integration analysis," Energy Policy, Elsevier, vol. 57(C), pages 89-98.
    46. Chenhao Fang & Tieju Ma, 2021. "Technology adoption with carbon emission trading mechanism: modeling with heterogeneous agents and uncertain carbon price," Annals of Operations Research, Springer, vol. 300(2), pages 577-600, May.
    47. Jiang, Jingjing & Xie, Dejun & Ye, Bin & Shen, Bo & Chen, Zhanming, 2016. "Research on China’s cap-and-trade carbon emission trading scheme: Overview and outlook," Applied Energy, Elsevier, vol. 178(C), pages 902-917.
    48. Chang-Jing Ji & Xiao-Yi Li & Yu-Jie Hu & Xiang-Yu Wang & Bao-Jun Tang, 2019. "Research on carbon price in emissions trading scheme: a bibliometric analysis," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 99(3), pages 1381-1396, December.
    49. Hao Yu & Yi-Ming Wei & Bao-Jun Tang & Zhifu Mi & Su-Yan Pan, 2017. "Assessment on the research trend of low-carbon energy technology investment: A bibliometric analysis," CEEP-BIT Working Papers 106, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
    50. Chatterjee, Arnab & Zhang, Lijun & Xia, Xiaohua, 2015. "Optimization of mine ventilation fan speeds according to ventilation on demand and time of use tariff," Applied Energy, Elsevier, vol. 146(C), pages 65-73.
    51. Zhaohua Wang & Xiaoyang Dong, 2016. "Determinants and policy implications of residents’ new energy vehicle purchases: the evidence from China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 82(1), pages 155-173, May.
    52. Yi-Ming Wei & Zhi-Fu Mi & Zhiming Huang, 2014. "Climate policy modeling: An online SCI-E and SSCI based literature review," CEEP-BIT Working Papers 58, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
    53. Hongbo Duan, Lei Zhu, Gürkan Kumbaroglu, and Ying Fan, 2016. "Regional Opportunities for China To Go Low-Carbon: Results from the REEC Model," The Energy Journal, International Association for Energy Economics, vol. 0(China Spe).
    54. Tang, Ling & Shi, Jiarui & Bao, Qin, 2016. "Designing an emissions trading scheme for China with a dynamic computable general equilibrium model," Energy Policy, Elsevier, vol. 97(C), pages 507-520.
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    57. Hui Hu & Philip Kavan, 2014. "Energy Consumption and Carbon Dioxide Emissions of China’s Non-Metallic Mineral Products Industry: Present State, Prospects and Policy Analysis," Sustainability, MDPI, vol. 6(11), pages 1-17, November.
    58. Jichuan Sheng & Michael Webber, 2019. "Governance rescaling and neoliberalization of China’s water governance: The case of China’s South–North Water Transfer Project," Environment and Planning A, , vol. 51(8), pages 1644-1664, November.
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    89. Ratneswary Rasiah & Sotheeswari Somasundram & Geetha Subramaniam, 2018. "A Multivariate Cointegration Analysis of the Macroeconomic Determinants of Carbon Emissions in Malaysia," International Journal of Energy Economics and Policy, Econjournals, vol. 8(6), pages 202-208.
    90. Tao Ding & Yadong Ning & Yan Zhang, 2017. "Estimation of greenhouse gas emissions in China 1990–2013," Greenhouse Gases: Science and Technology, Blackwell Publishing, vol. 7(6), pages 1097-1115, December.
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    93. Lan-Cui Liu & Gang Wu & Yue-Jun Zhang, 2015. "Investigating the residential energy consumption behaviors in Beijing: a survey study," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 75(1), pages 243-263, January.
    94. Fan, Jing-Li & Liao, Hua & Liang, Qiao-Mei & Tatano, Hirokazu & Liu, Chun-Feng & Wei, Yi-Ming, 2013. "Residential carbon emission evolutions in urban–rural divided China: An end-use and behavior analysis," Applied Energy, Elsevier, vol. 101(C), pages 323-332.
    95. Jing-Li Fan & Hua Liao & Bao-Jun Tang & Su-Yan Pan & Hao Yu & Yi-Ming Wei, 2016. "The impacts of migrant workers consumption on energy use and CO 2 emissions in China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 81(2), pages 725-743, March.
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    1. Chen, Jiandong & Cheng, Shulei & Song, Malin & Wu, Yinyin, 2016. "A carbon emissions reduction index: Integrating the volume and allocation of regional emissions," Applied Energy, Elsevier, vol. 184(C), pages 1154-1164.
    2. Zhang, Yue-Jun & Wang, Ao-Dong & Tan, Weiping, 2015. "The impact of China's carbon allowance allocation rules on the product prices and emission reduction behaviors of ETS-covered enterprises," Energy Policy, Elsevier, vol. 86(C), pages 176-185.
    3. Michał Krawczyk & Anna Bartczak & Nick Hanley & Anne Stenger-Letheux, 2016. "Buying spatially-coordinated ecosystem services: An experiment on the role of auction format and communication," Post-Print hal-01531762, HAL.
    4. Tang, Ling & Wu, Jiaqian & Yu, Lean & Bao, Qin, 2017. "Carbon allowance auction design of China's emissions trading scheme: A multi-agent-based approach," Energy Policy, Elsevier, vol. 102(C), pages 30-40.
    5. Cong, Rong-Gang & Wei, Yi-Ming, 2010. "Potential impact of (CET) carbon emissions trading on China’s power sector: A perspective from different allowance allocation options," MPRA Paper 52775, University Library of Munich, Germany.
    6. Huang, Hai & Roland-Holst, David & Springer, Cecilia & Lin, Jiang & Cai, Wenjia & Wang, Can, 2019. "Emissions trading systems and social equity: A CGE assessment for China," Applied Energy, Elsevier, vol. 235(C), pages 1254-1265.
    7. Han, Rong & Yu, Bi-Ying & Tang, Bao-Jun & Liao, Hua & Wei, Yi-Ming, 2017. "Carbon emissions quotas in the Chinese road transport sector: A carbon trading perspective," Energy Policy, Elsevier, vol. 106(C), pages 298-309.
    8. Xu, Jiuping & Yang, Xin & Tao, Zhimiao, 2015. "A tripartite equilibrium for carbon emission allowance allocation in the power-supply industry," Energy Policy, Elsevier, vol. 82(C), pages 62-80.
    9. Le Lan & Md Sayed Iftekhar & James Fogarty & Steven Schilizzi, 2021. "Auctions for buying back groundwater for environmental purposes: Which design performs better?," Journal of Agricultural Economics, Wiley Blackwell, vol. 72(3), pages 931-948, September.
    10. Cong, Rong-Gang & Wei, Yi-Ming, 2012. "Experimental comparison of impact of auction format on carbon allowance market," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(6), pages 4148-4156.
    11. Baochen Yang & Chuanze Liu & Zehao Gou & Jiacheng Man & Yunpeng Su, 2018. "How Will Policies of China’s CO 2 ETS Affect its Carbon Price: Evidence from Chinese Pilot Regions," Sustainability, MDPI, vol. 10(3), pages 1-26, February.

  87. Zhen-Hua Feng & Le-Le Zou & Yi-Ming Wei, 2009. "Carbon price volatility: Evidence from EU ETS," CEEP-BIT Working Papers 4, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.

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    1. Zhu, Bangzhu & Ma, Shujiao & Chevallier, Julien & Wei, Yiming, 2014. "Modelling the dynamics of European carbon futures price: A Zipf analysis," Economic Modelling, Elsevier, vol. 38(C), pages 372-380.
    2. Chen, Yingqi & Ba, Shusong & Yang, Qing & Yuan, Tian & Zhao, Haibo & Zhou, Ming & Bartocci, Pietro & Fantozzi, Francesco, 2021. "Efficiency of China’s carbon market: A case study of Hubei pilot market," Energy, Elsevier, vol. 222(C).
    3. Zhao, Xin-gang & Jiang, Gui-wu & Nie, Dan & Chen, Hao, 2016. "How to improve the market efficiency of carbon trading: A perspective of China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 59(C), pages 1229-1245.
    4. Zhou, Xinxing & Gao, Yan & Wang, Ping & Zhu, Bangzhu & Wu, Zhanchi, 2022. "Does herding behavior exist in China's carbon markets?," Applied Energy, Elsevier, vol. 308(C).
    5. Yifei Hua & Feng Dong, 2019. "China’s Carbon Market Development and Carbon Market Connection: A Literature Review," Energies, MDPI, vol. 12(9), pages 1-25, May.
    6. Agustín García & Agustín García & Miguel A. Jaramillo-Morán, 2020. "Short-term European Union Allowance price forecasting with artificial neural networks," Entrepreneurship and Sustainability Issues, VsI Entrepreneurship and Sustainability Center, vol. 8(1), pages 261-275, September.
    7. Yuanfeng Hu & Yixiang Tian & Luping Zhang, 2023. "Green Bond Pricing and Optimization Based on Carbon Emission Trading and Subsidies: From the Perspective of Externalities," Sustainability, MDPI, vol. 15(10), pages 1-20, May.
    8. Zhen-Hua Feng & Chun-Feng Liu & Yi-Ming Wei, 2010. "How does carbon price change? Evidences from EU ETS," CEEP-BIT Working Papers 11, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
    9. Hintermann, Beat & Peterson, Sonja & Rickels, Wilfried, 2014. "Price and market behavior in Phase II of the EU ETS," Kiel Working Papers 1962, Kiel Institute for the World Economy (IfW Kiel).
    10. Meng, Ming & Niu, Dongxiao, 2012. "Three-dimensional decomposition models for carbon productivity," Energy, Elsevier, vol. 46(1), pages 179-187.
    11. Hu, Yuanfeng & Tian, Yixiang, 2024. "The role of green reputation, carbon trading and government intervention in determining the green bond pricing: An externality perspective," International Review of Economics & Finance, Elsevier, vol. 89(PB), pages 46-62.
    12. Yinpeng Zhang & Zhixin Liu & Yingying Xu, 2018. "Carbon price volatility: The case of China," PLOS ONE, Public Library of Science, vol. 13(10), pages 1-15, October.
    13. Xie, Qiwei & Hao, Jingjing & Li, Jingyu & Zheng, Xiaolong, 2022. "Carbon price prediction considering climate change: A text-based framework," Economic Analysis and Policy, Elsevier, vol. 74(C), pages 382-401.
    14. Miguel A. Jaramillo-Morán & Agustín García-García, 2019. "Applying Artificial Neural Networks to Forecast European Union Allowance Prices: The Effect of Information from Pollutant-Related Sectors," Energies, MDPI, vol. 12(23), pages 1-18, November.
    15. Yu, Hui & Li, Ying & Wang, Wei, 2023. "Optimal innovation strategies of automakers with market competition under the dual-credit policy," Energy, Elsevier, vol. 283(C).
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    19. Zhu, Jiaming & Wu, Peng & Chen, Huayou & Liu, Jinpei & Zhou, Ligang, 2019. "Carbon price forecasting with variational mode decomposition and optimal combined model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 519(C), pages 140-158.
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    21. Gavard, Claire & Kirat, Djamel, 2018. "Flexibility in the market for international carbon credits and price dynamics difference with European allowances," Energy Economics, Elsevier, vol. 76(C), pages 504-518.
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    23. Feng, Zhen-Hua & Wei, Yi-Ming & Wang, Kai, 2012. "Estimating risk for the carbon market via extreme value theory: An empirical analysis of the EU ETS," Applied Energy, Elsevier, vol. 99(C), pages 97-108.
    24. Fan, Xinghua & Lv, Xiangxiang & Yin, Jiuli & Tian, Lixin & Liang, Jiaochen, 2019. "Multifractality and market efficiency of carbon emission trading market: Analysis using the multifractal detrended fluctuation technique," Applied Energy, Elsevier, vol. 251(C), pages 1-1.
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    32. Chang, Kai & Chen, Rongda & Chevallier, Julien, 2018. "Market fragmentation, liquidity measures and improvement perspectives from China's emissions trading scheme pilots," Energy Economics, Elsevier, vol. 75(C), pages 249-260.
    33. Wang, Jiqian & Guo, Xiaozhu & Tan, Xueping & Chevallier, Julien & Ma, Feng, 2023. "Which exogenous driver is informative in forecasting European carbon volatility: Bond, commodity, stock or uncertainty?," Energy Economics, Elsevier, vol. 117(C).
    34. Tsai, Ming-Tang & Yen, Chih-Wei, 2011. "The influence of carbon dioxide trading scheme on economic dispatch of generators," Applied Energy, Elsevier, vol. 88(12), pages 4811-4816.
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    36. Chang-Jing Ji & Xiao-Yi Li & Yu-Jie Hu & Xiang-Yu Wang & Bao-Jun Tang, 2019. "Research on carbon price in emissions trading scheme: a bibliometric analysis," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 99(3), pages 1381-1396, December.
    37. Lin, Boqiang & Xu, Bin, 2021. "A non-parametric analysis of the driving factors of China's carbon prices," Energy Economics, Elsevier, vol. 104(C).
    38. Mari, Carlo, 2014. "Hedging electricity price volatility using nuclear power," Applied Energy, Elsevier, vol. 113(C), pages 615-621.
    39. Quande Qin & Huangda He & Li Li & Ling-Yun He, 2020. "A Novel Decomposition-Ensemble Based Carbon Price Forecasting Model Integrated with Local Polynomial Prediction," Computational Economics, Springer;Society for Computational Economics, vol. 55(4), pages 1249-1273, April.
    40. Cao, Guangxi & Xu, Wei, 2016. "Multifractal features of EUA and CER futures markets by using multifractal detrended fluctuation analysis based on empirical model decomposition," Chaos, Solitons & Fractals, Elsevier, vol. 83(C), pages 212-222.
    41. Bangzhu Zhu, 2012. "A Novel Multiscale Ensemble Carbon Price Prediction Model Integrating Empirical Mode Decomposition, Genetic Algorithm and Artificial Neural Network," Energies, MDPI, vol. 5(2), pages 1-16, February.
    42. Jiang, M. & Liang, X. & Reiner, D. & Lin, B., 2018. "Stakeholder Views on Interactions between Low-carbon Policies and Carbon Markets in China: Lessons from the Guangdong ETS," Cambridge Working Papers in Economics 1811, Faculty of Economics, University of Cambridge.
    43. Paukku Eelis, 2023. "Carbon Pricing in Finland: Balancing policy goals," Nordic Tax Journal, Sciendo, vol. 2023(1), pages 76-95, December.
    44. Carlo Mari, 2018. "CO 2 Price Volatility Effects on Optimal Power System Portfolios," Energies, MDPI, vol. 11(7), pages 1-18, July.
    45. Rita Sousa & Luís Francisco Aguiar-Conraria & Maria Joana Soares, 2014. "Carbon and Energy Prices: Surfing the Wavelets of California," NIPE Working Papers 19/2014, NIPE - Universidade do Minho.
    46. Bangzhu Zhu & Ping Wang & Julien Chevallier & Yiming Wei, 2014. "Carbon price analysis using empirical mode decomposition," Working Papers 2014-156, Department of Research, Ipag Business School.
    47. Liu, Xiaojia & An, Haizhong & Wang, Lijun & Jia, Xiaoliang, 2017. "An integrated approach to optimize moving average rules in the EUA futures market based on particle swarm optimization and genetic algorithms," Applied Energy, Elsevier, vol. 185(P2), pages 1778-1787.
    48. Li, Guangyao & Yang, Jin & Chen, Dingjiang & Hu, Shanying, 2017. "Impacts of the coming emission trading scheme on China’s coal-to-materials industry in 2020," Applied Energy, Elsevier, vol. 195(C), pages 837-849.
    49. Zhi-Fu Mi & Yue-Jun Zhang, 2010. "Estimating the 'value at risk' of EUA futures prices based on the extreme value theory," CEEP-BIT Working Papers 9, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
    50. Dai, Hancheng & Xie, Yang & Liu, Jingyu & Masui, Toshihiko, 2018. "Aligning renewable energy targets with carbon emissions trading to achieve China's INDCs: A general equilibrium assessment," Renewable and Sustainable Energy Reviews, Elsevier, vol. 82(P3), pages 4121-4131.
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    56. Zeyu Zhang & Xiaoqian Liu & Xiling Zhang & Zhishan Yang & Jian Yao, 2024. "Carbon Price Forecasting Using Optimized Sliding Window Empirical Wavelet Transform and Gated Recurrent Unit Network to Mitigate Data Leakage," Energies, MDPI, vol. 17(17), pages 1-22, August.
    57. García-Martos, Carolina & Rodríguez, Julio & Sánchez, María Jesús, 2013. "Modelling and forecasting fossil fuels, CO2 and electricity prices and their volatilities," Applied Energy, Elsevier, vol. 101(C), pages 363-375.
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  88. Hua Liao & Yi-Ming Wei, 2009. "China's energy consumption: A perspective from Divisia aggregation approach," CEEP-BIT Working Papers 1, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.

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    2. Ma, Linwei & Liu, Pei & Fu, Feng & Li, Zheng & Ni, Weidou, 2011. "Integrated energy strategy for the sustainable development of China," Energy, Elsevier, vol. 36(2), pages 1143-1154.
    3. Ito, Toshihide & Chen, Youqing & Ito, Shoichi & Yamaguchi, Kaoru, 2010. "Prospect of the upper limit of the energy demand in China from regional aspects," Energy, Elsevier, vol. 35(12), pages 5320-5327.
    4. Chao Xu & Yunpeng Wang & Lili Li & Peng Wang, 2018. "Spatiotemporal Trajectory of China’s Provincial Energy Efficiency and Implications on the Route of Economic Transformation," Sustainability, MDPI, vol. 10(12), pages 1-14, December.
    5. Lin, Boqiang & Xie, Chunping, 2013. "Estimation on oil demand and oil saving potential of China's road transport sector," Energy Policy, Elsevier, vol. 61(C), pages 472-482.
    6. Xia, X.H. & Chen, Y.B. & Li, J.S. & Tasawar, H. & Alsaedi, A. & Chen, G.Q., 2014. "Energy regulation in China: Objective selection, potential assessment and responsibility sharing by partial frontier analysis," Energy Policy, Elsevier, vol. 66(C), pages 292-302.
    7. Fernández González, P. & Landajo, M. & Presno, M.J., 2014. "Multilevel LMDI decomposition of changes in aggregate energy consumption. A cross country analysis in the EU-27," Energy Policy, Elsevier, vol. 68(C), pages 576-584.
    8. Fan, Jing-Li & Zhang, Yue-Jun & Wang, Bing, 2017. "The impact of urbanization on residential energy consumption in China: An aggregated and disaggregated analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 75(C), pages 220-233.
    9. Işıl Şirin SELÇUK, 2018. "Türkiye Sanayi Sektörü Enerji Verimliliği: Genişletilmiş Logaritmik Ortalama Divisia Endeks Ayrıştırma Yöntemi Uygulaması," Sosyoekonomi Journal, Sosyoekonomi Society, issue 26(37).
    10. Xu, Tang & Baosheng, Zhang & Lianyong, Feng & Masri, Marwan & Honarvar, Afshin, 2011. "Economic impacts and challenges of China’s petroleum industry: An input–output analysis," Energy, Elsevier, vol. 36(5), pages 2905-2911.
    11. Du, Kerui & Lin, Boqiang, 2015. "Understanding the rapid growth of China's energy consumption: A comprehensive decomposition framework," Energy, Elsevier, vol. 90(P1), pages 570-577.
    12. Zhang, Ming & Guo, Fangyan, 2013. "Analysis of rural residential commercial energy consumption in China," Energy, Elsevier, vol. 52(C), pages 222-229.
    13. Qiang Wang & Rongrong Li & Rui Jiang, 2016. "Decoupling and Decomposition Analysis of Carbon Emissions from Industry: A Case Study from China," Sustainability, MDPI, vol. 8(10), pages 1-17, October.
    14. Fernández González, P. & Presno, M.J. & Landajo, M., 2015. "Regional and sectoral attribution to percentage changes in the European Divisia carbonization index," Renewable and Sustainable Energy Reviews, Elsevier, vol. 52(C), pages 1437-1452.
    15. Lin, Boqiang & Wang, Ailun, 2015. "Estimating energy conservation potential in China's commercial sector," Energy, Elsevier, vol. 82(C), pages 147-156.
    16. Zhang, Jing & Deng, Shihuai & Shen, Fei & Yang, Xinyao & Liu, Guodong & Guo, Hang & Li, Yuanwei & Hong, Xiao & Zhang, Yanzong & Peng, Hong & Zhang, Xiaohong & Li, Li & Wang, Yingjun, 2011. "Modeling the relationship between energy consumption and economy development in China," Energy, Elsevier, vol. 36(7), pages 4227-4234.
    17. Fernández González, P. & Landajo, M. & Presno, M.J., 2013. "The Divisia real energy intensity indices: Evolution and attribution of percent changes in 20 European countries from 1995 to 2010," Energy, Elsevier, vol. 58(C), pages 340-349.
    18. Raza Muhammad khan & Sohail Farooq & Muhammad Akram Gilal, 2020. "Electricity Consumption and Economic Growth: A Time-Series Study on Pakistan," Global Economics Review, Humanity Only, vol. 5(1), pages 24-37, March.
    19. Fernández González, P., 2015. "Exploring energy efficiency in several European countries. An attribution analysis of the Divisia structural change index," Applied Energy, Elsevier, vol. 137(C), pages 364-374.
    20. Chen, Zhan-Ming, 2014. "Inflationary effect of coal price change on the Chinese economy," Applied Energy, Elsevier, vol. 114(C), pages 301-309.
    21. Xia, X.H. & Huang, G.T. & Chen, G.Q. & Zhang, Bo & Chen, Z.M. & Yang, Q., 2011. "Energy security, efficiency and carbon emission of Chinese industry," Energy Policy, Elsevier, vol. 39(6), pages 3520-3528, June.
    22. Li, Fangyi & Song, Zhouying & Liu, Weidong, 2014. "China's energy consumption under the global economic crisis: Decomposition and sectoral analysis," Energy Policy, Elsevier, vol. 64(C), pages 193-202.
    23. Zheng, Tengfei & Qiang, Maoshan & Chen, Wenchao & Xia, Bingqing & Wang, Jianing, 2016. "An externality evaluation model for hydropower projects: A case study of the Three Gorges Project," Energy, Elsevier, vol. 108(C), pages 74-85.
    24. Liang, Sai & Zhang, Tianzhu, 2011. "Interactions of energy technology development and new energy exploitation with water technology development in China," Energy, Elsevier, vol. 36(12), pages 6960-6966.

  89. Yue-Jun Zhang & Yi-Ming Wei, 2009. "An overview of current research on EU ETS: Evidence from its operating mechanism and economic effect," CEEP-BIT Working Papers 3, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.

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    1. Zhu, Bangzhu & Ma, Shujiao & Chevallier, Julien & Wei, Yiming, 2014. "Modelling the dynamics of European carbon futures price: A Zipf analysis," Economic Modelling, Elsevier, vol. 38(C), pages 372-380.
    2. Zhu, Bangzhu & Zhang, Mengfan & Huang, Liqing & Wang, Ping & Su, Bin & Wei, Yi-Ming, 2020. "Exploring the effect of carbon trading mechanism on China's green development efficiency: A novel integrated approach," Energy Economics, Elsevier, vol. 85(C).
    3. Iordanis Kalaitzoglou & Boulis Maher Ibrahim, 2010. "Does Order Flow in the European Carbon Allowances Market Reveal Information?," CFI Discussion Papers 1003, Centre for Finance and Investment, Heriot Watt University.
    4. Federico Galán-Valdivieso & Elena Villar-Rubio & María-Dolores Huete-Morales, 2018. "The erratic behaviour of the EU ETS on the path towards consolidation and price stability," International Environmental Agreements: Politics, Law and Economics, Springer, vol. 18(5), pages 689-706, October.
    5. Brown, Marilyn A. & Li, Yufei & Soni, Anmol, 2020. "Are all jobs created equal? Regional employment impacts of a U.S. carbon tax," Applied Energy, Elsevier, vol. 262(C).
    6. Timár, Barnabás, 2023. "A klímavédelmi események hatása a köztudatra és a tőkepiacra. Empirikus vizsgálat Google-trends- és ETF-adatokon [The impact of climate events on public perception and capital markets. An empirical," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(7), pages 713-745.
    7. Conrad, Christian & Rittler, Daniel & Rotfuß, Waldemar, 2012. "Modeling and explaining the dynamics of European Union Allowance prices at high-frequency," Energy Economics, Elsevier, vol. 34(1), pages 316-326.
    8. Zhao, Xin-gang & Jiang, Gui-wu & Nie, Dan & Chen, Hao, 2016. "How to improve the market efficiency of carbon trading: A perspective of China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 59(C), pages 1229-1245.
    9. Fang, Sheng & Lu, Xinsheng & Li, Jianfeng & Qu, Ling, 2018. "Multifractal detrended cross-correlation analysis of carbon emission allowance and stock returns," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 509(C), pages 551-566.
    10. Xiang-Yu Wang & Bao-Jun Tang, 2018. "Review of comparative studies on market mechanisms for carbon emission reduction: a bibliometric analysis," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 94(3), pages 1141-1162, December.
    11. Tolis, Athanasios I. & Rentizelas, Athanasios A., 2011. "An impact assessment of electricity and emission allowances pricing in optimised expansion planning of power sector portfolios," Applied Energy, Elsevier, vol. 88(11), pages 3791-3806.
    12. Zhang, Weijie & Zhang, Ning & Yu, Yanni, 2019. "Carbon mitigation effects and potential cost savings from carbon emissions trading in China's regional industry," Technological Forecasting and Social Change, Elsevier, vol. 141(C), pages 1-11.
    13. Zhang, Xi & Li, Jian, 2018. "Credit and market risks measurement in carbon financing for Chinese banks," Energy Economics, Elsevier, vol. 76(C), pages 549-557.
    14. Zhen-Hua Feng & Chun-Feng Liu & Yi-Ming Wei, 2010. "How does carbon price change? Evidences from EU ETS," CEEP-BIT Working Papers 11, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
    15. Hintermann, Beat & Peterson, Sonja & Rickels, Wilfried, 2014. "Price and market behavior in Phase II of the EU ETS," Kiel Working Papers 1962, Kiel Institute for the World Economy (IfW Kiel).
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    18. Li, Ye & Wang, Yan-zhang & Cui, Qiang, 2016. "Has airline efficiency affected by the inclusion of aviation into European Union Emission Trading Scheme? Evidences from 22 airlines during 2008–2012," Energy, Elsevier, vol. 96(C), pages 8-22.
    19. Yao, Jingyuan & Xiao, Erliang & Jian, Xianzhong & Shu, Lingli, 2021. "Service quality and the share of renewable energy in electricity generation," Utilities Policy, Elsevier, vol. 69(C).
    20. Bangzhu Zhu & Shujiao Ma & Rui Xie & Julien Chevallier & Yi-Ming Wei, 2018. "Hilbert Spectra and Empirical Mode Decomposition: A Multiscale Event Analysis Method to Detect the Impact of Economic Crises on the European Carbon Market," Post-Print halshs-04250160, HAL.
    21. Fan, Wei & Yan, Ling & Chen, Boyang & Ding, Wangwang & Wang, Ping, 2022. "Environmental governance effects of local environmental protection expenditure in China," Resources Policy, Elsevier, vol. 77(C).
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    23. Pilar Gargallo & Luis Lample & Jesús A. Miguel & Manuel Salvador, 2021. "Co-Movements between Eu Ets and the Energy Markets: A Var-Dcc-Garch Approach," Mathematics, MDPI, vol. 9(15), pages 1-36, July.
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    27. Liudmila Reshetnikova & Natalia Boldyreva & Anton Devyatkov & Zhanna Pisarenko & Danila Ovechkin, 2023. "Carbon Pricing in Current Global Institutional Changes," Sustainability, MDPI, vol. 15(4), pages 1-19, February.
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    38. Zhu, Jiaming & Wu, Peng & Chen, Huayou & Liu, Jinpei & Zhou, Ligang, 2019. "Carbon price forecasting with variational mode decomposition and optimal combined model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 519(C), pages 140-158.
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    82. Zhang, Qishi & Li, Bo & Liu, Jing-Yu & Deng, Yizhi & Zhang, Runsen & Wu, Wenchao & Geng, Yong, 2024. "Assessing the distributional impacts of ambitious carbon pricing in China's agricultural sector," Ecological Economics, Elsevier, vol. 217(C).
    83. Rui Zhou & Hiroatsu Fukuda & You Li & Yafei Wang, 2023. "Comparison of Willingness to Pay for Quality Air and Renewable Energy Considering Urban Living Experience," Energies, MDPI, vol. 16(2), pages 1-21, January.
    84. Yulin Liu & Min Zhang & Rujia Liu, 2020. "The Impact of Income Inequality on Carbon Emissions in China: A Household-Level Analysis," Sustainability, MDPI, vol. 12(7), pages 1-22, March.
    85. Matsuki, Takashi & Pan, Lei, 2021. "Per capita carbon emissions convergence in developing Asia: A century of evidence from covariate unit root test with endogenous structural breaks," Energy Economics, Elsevier, vol. 99(C).
    86. Wu, Liangpeng & Zhu, Qingyuan, 2023. "Has the Emissions Trading Scheme (ETS) promoted the end-of-pipe emissions reduction? Evidence from China's residents," Energy, Elsevier, vol. 277(C).
    87. Su-Mei Chen & Jia-Jia Ou & Ling-Yun He, 2021. "The Environmental and Health Impacts of Poverty Alleviation in China: From a Consumption-Based Perspective," Sustainability, MDPI, vol. 13(4), pages 1-15, February.
    88. Du, Zhili & Xu, Jie & Lin, Boqiang, 2024. "What does the digital economy bring to household carbon emissions? – From the perspective of energy intensity," Applied Energy, Elsevier, vol. 370(C).

Articles

  1. Zhao, Lu-Tao & Zheng, Zhi-Yi & Wei, Yi-Ming, 2023. "Forecasting oil inventory changes with Google trends: A hybrid wavelet decomposer and ARDL-SVR ensemble model," Energy Economics, Elsevier, vol. 120(C).

    Cited by:

    1. Bhattacherjee, Purba & Mishra, Sibanjan & Kang, Sang Hoon, 2023. "Does market sentiment and global uncertainties influence ESG-oil nexus? A time-frequency analysis," Resources Policy, Elsevier, vol. 86(PA).

  2. Chang, Jun-Jie & Mi, Zhifu & Wei, Yi-Ming, 2023. "Temperature and GDP: A review of climate econometrics analysis," Structural Change and Economic Dynamics, Elsevier, vol. 66(C), pages 383-392.

    Cited by:

    1. Desbordes, Rodolphe & Eberhardt, Markus, 2024. "Climate change and economic prosperity: Evidence from a flexible damage function," Journal of Environmental Economics and Management, Elsevier, vol. 125(C).
    2. Dong, Zhaoyingzi & Xiao, Yue, 2024. "Carbon emissions trading policy and climate injustice: A study on economic distributional impacts," Energy, Elsevier, vol. 296(C).

  3. Biying Yu & Zihao Zhao & Yi-Ming Wei & Lan-Cui Liu & Qingyu Zhao & Shuo Xu & Jia-Ning Kang & Hua Liao, 2023. "Approaching national climate targets in China considering the challenge of regional inequality," Nature Communications, Nature, vol. 14(1), pages 1-12, December.

    Cited by:

    1. Chen, Jinglong & Wang, Dandan & Wang, Qinqin & Cai, Qiran, 2024. "Quantifying the synergy of China's carbon neutrality policies through policy documents," Renewable and Sustainable Energy Reviews, Elsevier, vol. 200(C).
    2. Tan, Xianchun & Cai, Xiaoli & Cheng, Yonglong & Yan, Hongshuo, 2024. "How to control China's total amount of carbon emissions? An analysis of provincial allowance demands," Energy, Elsevier, vol. 303(C).

  4. Li-Jing Liu & Hong-Dian Jiang & Qiao-Mei Liang & Felix Creutzig & Hua Liao & Yun-Fei Yao & Xiang-Yan Qian & Zhong-Yuan Ren & Jing Qing & Qi-Ran Cai & Ottmar Edenhofer & Yi-Ming Wei, 2023. "Carbon emissions and economic impacts of an EU embargo on Russian fossil fuels," Nature Climate Change, Nature, vol. 13(3), pages 290-296, March.

    Cited by:

    1. Yanxiao Jiang & Zhou Huang, 2024. "Impact of urban vitality on carbon emission—an analysis of 222 Chinese cities based on the spatial Durbin model," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-15, December.
    2. José Ramos Pires Manso & Rosa M. Martínez Vázquez & Juan Milán García & Jaime de Pablo Valenciano, 2023. "Renewable Energies and Blue Economy: New Trends in Global Research," Energies, MDPI, vol. 16(10), pages 1-15, May.
    3. Nikas, Alexandros & Frilingou, Natasha & Heussaff, Conall & Fragkos, Panagiotis & Mittal, Shivika & Sampedro, Jon & Giarola, Sara & Sasse, Jan-Philipp & Rinaldi, Lorenzo & Doukas, Haris & Gambhir, Aja, 2024. "Three different directions in which the European Union could replace Russian natural gas," Energy, Elsevier, vol. 290(C).
    4. Jiang, Hong-Dian & Dong, Kangyin & Qing, Jing & Teng, Qiang, 2023. "The role of technical change in low-carbon transformation and crises in the electricity market: A CGE analysis with R&D investment," Energy Economics, Elsevier, vol. 125(C).
    5. Zhang, Qingyong & Mao, Xianqiang & Lu, Jianhong & Guo, Zhi & Duman, Zaenhaer & Chen, Yongpeng & Song, Peng & Tu, Kevin, 2024. "EU-Russia energy decoupling in combination with the updated NDCs impacts on global fossil energy trade and carbon emissions," Applied Energy, Elsevier, vol. 356(C).
    6. Michael Fratita & Florin Popescu & Eugen Rusu & Ion V. Ion & Răzvan Mahu, 2023. "Romanian Energy System Analysis (Production, Consumption, and Distribution)," Energies, MDPI, vol. 16(16), pages 1-14, August.

  5. Zhang, Kun & Yang, Zili & Liang, Qiao-Mei & Liao, Hua & Yu, Bi-Ying & Wei, Yi-Ming, 2023. "China's carbon emissions and energy demand under different methods of global mitigation cooperation: Application of an extended RICE model with energy details," Energy, Elsevier, vol. 285(C).

    Cited by:

    1. Yan, Jingjing & Zhang, Huan & Wang, Yaran & Zhu, Zhaozhe & Bai, He & Li, Qicheng & You, Shijun, 2024. "Pump-stopping-induced hydraulic oscillations in long-distance district heating system: Modelling and a comprehensive analysis of critical factors," Energy, Elsevier, vol. 294(C).

  6. Bangzhu Zhu & Shunxin Ye & Ping Wang & Julien Chevallier & Yi‐Ming Wei, 2022. "Forecasting carbon price using a multi‐objective least squares support vector machine with mixture kernels," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 41(1), pages 100-117, January.

    Cited by:

    1. Huang, Wenyang & Wang, Huiwen & Qin, Haotong & Wei, Yigang & Chevallier, Julien, 2022. "Convolutional neural network forecasting of European Union allowances futures using a novel unconstrained transformation method," Energy Economics, Elsevier, vol. 110(C).
    2. Huang, Wenyang & Zhao, Jianyu & Wang, Xiaokang, 2024. "Model-driven multimodal LSTM-CNN for unbiased structural forecasting of European Union allowances open-high-low-close price," Energy Economics, Elsevier, vol. 132(C).
    3. Hamdy Ahmad Aly Alhendawy & Mohammed Galal Abdallah Mostafa & Mohamed Ibrahim Elgohari & Ibrahim Abdalla Abdelraouf Mohamed & Nabil Medhat Arafat Mahmoud & Mohamed Ahmed Mohamed Mater, 2023. "Determinants of Renewable Energy Production in Egypt New Approach: Machine Learning Algorithms," International Journal of Energy Economics and Policy, Econjournals, vol. 13(6), pages 679-689, November.
    4. Cakici, Nusret & Shahzad, Syed Jawad Hussain & Będowska-Sójka, Barbara & Zaremba, Adam, 2024. "Machine learning and the cross-section of cryptocurrency returns," International Review of Financial Analysis, Elsevier, vol. 94(C).
    5. Zhu, Bangzhu & Wan, Chunzhuo & Wang, Ping, 2022. "Interval forecasting of carbon price: A novel multiscale ensemble forecasting approach," Energy Economics, Elsevier, vol. 115(C).
    6. Huang, Wenyang & Wang, Huiwen & Wei, Yigang, 2023. "Identifying the determinants of European carbon allowances prices: A novel robust partial least squares method for open-high-low-close data," International Review of Financial Analysis, Elsevier, vol. 90(C).
    7. Xu, Yingying & Dai, Yifan & Guo, Lingling & Chen, Jingjing, 2024. "Leveraging machine learning to forecast carbon returns: Factors from energy markets," Applied Energy, Elsevier, vol. 357(C).
    8. Ma, Xiaochen & Pan, Yanchun & Zhang, Manzi & Ma, Jianhua & Yang, Wen, 2024. "Impact of carbon emission trading and renewable energy development policy on the sustainability of electricity market: A stackelberg game analysis," Energy Economics, Elsevier, vol. 129(C).
    9. Dai, Yeming & Yang, Xinyu & Leng, Mingming, 2022. "Forecasting power load: A hybrid forecasting method with intelligent data processing and optimized artificial intelligence," Technological Forecasting and Social Change, Elsevier, vol. 182(C).
    10. Jia, Zhijie & Wen, Shiyan & Liu, Yu, 2022. "China's urban-rural inequality caused by carbon neutrality: A perspective from carbon footprint and decomposed social welfare," Energy Economics, Elsevier, vol. 113(C).
    11. Wang, Minggang & Zhu, Mengrui & Tian, Lixin, 2022. "A novel framework for carbon price forecasting with uncertainties," Energy Economics, Elsevier, vol. 112(C).

  7. Li, Ru & Tang, Bao-Jun & Yu, Biying & Liao, Hua & Zhang, Chen & Wei, Yi-Ming, 2022. "Cost-optimal operation strategy for integrating large scale of renewable energy in China’s power system: From a multi-regional perspective," Applied Energy, Elsevier, vol. 325(C).

    Cited by:

    1. Tang, Liangyu & Han, Yang & Zalhaf, Amr S. & Zhou, Siyu & Yang, Ping & Wang, Congling & Huang, Tao, 2024. "Resilience enhancement of active distribution networks under extreme disaster scenarios: A comprehensive overview of fault location strategies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 189(PA).
    2. Fatemehsadat Mirshafiee & Emad Shahbazi & Mohadeseh Safi & Rituraj Rituraj, 2023. "Predicting Power and Hydrogen Generation of a Renewable Energy Converter Utilizing Data-Driven Methods: A Sustainable Smart Grid Case Study," Energies, MDPI, vol. 16(1), pages 1-20, January.
    3. Liu, Shan & Yan, Jie & Yan, Yamin & Zhang, Haoran & Zhang, Jing & Liu, Yongqian & Han, Shuang, 2024. "Joint operation of mobile battery, power system, and transportation system for improving the renewable energy penetration rate," Applied Energy, Elsevier, vol. 357(C).
    4. Su, Zixiang & Yang, Liu & Wang, Hao & Song, Jianzhong & Jiang, Weixue, 2024. "Exergoenvironmental optimization and thermoeconomic assessment of an innovative multistage Brayton cycle with dual expansion and cooling for ultra-high temperature solar power," Energy, Elsevier, vol. 286(C).
    5. Yang, Yan-Shen & Xie, Bai-Chen & Tan, Xu, 2024. "Impact of green power trading mechanism on power generation and interregional transmission in China," Energy Policy, Elsevier, vol. 189(C).
    6. Yuan, Yi & Ding, Tao & Chang, Xinyue & Jia, Wenhao & Xue, Yixun, 2024. "A distributed multi-objective optimization method for scheduling of integrated electricity and hydrogen systems," Applied Energy, Elsevier, vol. 355(C).
    7. Yin, Xin & Chen, Haoyong & Liang, Zipeng & Zhu, Yanjin, 2023. "A Flexibility-oriented robust transmission expansion planning approach under high renewable energy resource penetration," Applied Energy, Elsevier, vol. 351(C).
    8. Umair Hussan & Huaizhi Wang & Muhammad Ahsan Ayub & Hamna Rasheed & Muhammad Asghar Majeed & Jianchun Peng & Hui Jiang, 2024. "Decentralized Stochastic Recursive Gradient Method for Fully Decentralized OPF in Multi-Area Power Systems," Mathematics, MDPI, vol. 12(19), pages 1-16, September.

  8. Wang, Wei-Zheng & Liu, Lan-Cui & Liao, Hua & Wei, Yi-Ming, 2021. "Impacts of urbanization on carbon emissions: An empirical analysis from OECD countries," Energy Policy, Elsevier, vol. 151(C).

    Cited by:

    1. Lin, Jin & Dong, Jun & Liu, Dongran & Zhang, Yaoyu & Ma, Tongtao, 2022. "From peak shedding to low-carbon transitions: Customer psychological factors in demand response," Energy, Elsevier, vol. 238(PA).
    2. Li, Yaya & Zhang, Yun, 2023. "What is the role of green ICT innovation in lowering carbon emissions in China? A provincial-level analysis," Energy Economics, Elsevier, vol. 127(PA).
    3. Zheng, Huanyu & Song, Malin & Shen, Zhiyang, 2021. "The evolution of renewable energy and its impact on carbon reduction in China," Energy, Elsevier, vol. 237(C).
    4. Ar'anzazu de Juan & Pilar Poncela & Vladimir Rodr'iguez-Caballero & Esther Ruiz, 2022. "Economic activity and climate change," Papers 2206.03187, arXiv.org, revised Jun 2022.
    5. Shixiong Song & Siyuan Zhao & Ye Zhang & Yongxi Ma, 2023. "Carbon Emissions from Agricultural Inputs in China over the Past Three Decades," Agriculture, MDPI, vol. 13(5), pages 1-12, April.
    6. Jiangsheng Deng & Rongguang Zhang & Qiwen Qiu, 2023. "Spatial Impact of Industrial Structure Upgrading and Corporate Social Responsibility on Carbon Emissions: Evidence from China," Sustainability, MDPI, vol. 15(13), pages 1-14, July.
    7. Wang, Jianda & Jiang, Qingzhe & Dong, Xiucheng & Dong, Kangyin, 2021. "Decoupling and decomposition analysis of investments and CO2 emissions in information and communication technology sector," Applied Energy, Elsevier, vol. 302(C).
    8. Fengting Wang & Hao Wang & Cong Liu & Lichun Xiong & Zhiquan Qian, 2022. "The Effect of Green Urbanization on Forestry Green Total Factor Productivity in China: Analysis from a Carbon Neutral Perspective," Land, MDPI, vol. 11(11), pages 1-21, October.
    9. Wang, Qiang & Zhang, Chen & Li, Rongrong, 2022. "Towards carbon neutrality by improving carbon efficiency - A system-GMM dynamic panel analysis for 131 countries’ carbon efficiency," Energy, Elsevier, vol. 258(C).
    10. Wang, Bo & Zhao, Jun & Dong, Kangyin & Jiang, Qingzhe, 2022. "High-quality energy development in China: Comprehensive assessment and its impact on CO2 emissions," Energy Economics, Elsevier, vol. 110(C).
    11. Feng Han & Min Huang, 2022. "Land Misallocation and Carbon Emissions: Evidence from China," Land, MDPI, vol. 11(8), pages 1-30, July.
    12. Qianxiao Zhang & Syed Asif Ali Naqvi & Syed Ale Raza Shah, 2021. "The Contribution of Outward Foreign Direct Investment, Human Well-Being, and Technology toward a Sustainable Environment," Sustainability, MDPI, vol. 13(20), pages 1-29, October.
    13. Long, Han & Feng, Genfu, 2024. "Does national ESG performance curb greenhouse gas emissions?," Innovation and Green Development, Elsevier, vol. 3(3).
    14. Feifei Tan & Shasha Yang & Zhiyuan Niu, 2023. "The impact of urbanization on carbon emissions: both from heterogeneity and mechanism test," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(6), pages 4813-4829, June.
    15. Abudureheman, Maliyamu & Jiang, Qingzhe & Dong, Xiucheng & Dong, Cong, 2022. "Spatial effects of dynamic comprehensive energy efficiency on CO2 reduction in China," Energy Policy, Elsevier, vol. 166(C).
    16. Jiao Wang & Zhenliang Liao & Hui Sun, 2023. "Analysis of Carbon Emission Efficiency in the Yellow River Basin in China: Spatiotemporal Differences and Influencing Factors," Sustainability, MDPI, vol. 15(10), pages 1-19, May.
    17. Wei Shi & Wenwen Tang & Fuwei Qiao & Zhiquan Sha & Chengyuan Wang & Sixue Zhao, 2022. "How to Reduce Carbon Dioxide Emissions from Power Systems in Gansu Province—Analyze from the Life Cycle Perspective," Energies, MDPI, vol. 15(10), pages 1-15, May.
    18. Liu, Yang & Dong, Kangyin & Jiang, Qingzhe, 2023. "Assessing energy vulnerability and its impact on carbon emissions: A global case," Energy Economics, Elsevier, vol. 119(C).
    19. Janusz Myszczyszyn & Błażej Suproń, 2022. "Relationship among Economic Growth, Energy Consumption, CO 2 Emission, and Urbanization: An Econometric Perspective Analysis," Energies, MDPI, vol. 15(24), pages 1-18, December.
    20. Zhang, HongWei & Ben, Fang & Qin, Meng, 2024. "Mineral resources, tourism, human capital, and carbon neutrality: A path towards balanced and sustainable development," Resources Policy, Elsevier, vol. 90(C).
    21. Awan, Ashar & Alnour, Mohammed & Jahanger, Atif & Onwe, Joshua Chukwuma, 2022. "Do technological innovation and urbanization mitigate carbon dioxide emissions from the transport sector?," Technology in Society, Elsevier, vol. 71(C).
    22. Sakketa, Tekalign Gutu, 2023. "Urbanisation and social cohesion: Theory and empirical evidence from Africa," IDOS Discussion Papers 16/2023, German Institute of Development and Sustainability (IDOS).
    23. Wang, Jianda & Dong, Kangyin & Dong, Xiucheng & Taghizadeh-Hesary, Farhad, 2022. "Assessing the digital economy and its carbon-mitigation effects: The case of China," Energy Economics, Elsevier, vol. 113(C).
    24. Xinyue Yuan & Yang Nie & Liangen Zeng & Chao Lu & Tingzhang Yang, 2023. "Exploring the Impacts of Urbanization on Eco-Efficiency in China," Land, MDPI, vol. 12(3), pages 1-14, March.
    25. Guimei Wang & Muhammad Salman, 2023. "The impacts of heterogeneous environmental regulations on green economic efficiency from the perspective of urbanization: a dynamic threshold analysis," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(9), pages 9485-9516, September.
    26. Wang, Ye, 2023. "What drives sustainable development? Evaluating the role of oil and coal resources for selected resource rich economies," Resources Policy, Elsevier, vol. 80(C).
    27. Xu, Jiajun & Wang, Jinchao & Li, Rui & Yang, Xiaojun, 2023. "Spatio-temporal effects of urbanization on CO2 emissions: Evidences from 268 Chinese cities," Energy Policy, Elsevier, vol. 177(C).
    28. Sufyanullah, Khan & Ahmad, Khan Arshad & Sufyan Ali, Muhammad Abu, 2022. "Does emission of carbon dioxide is impacted by urbanization? An empirical study of urbanization, energy consumption, economic growth and carbon emissions - Using ARDL bound testing approach," Energy Policy, Elsevier, vol. 164(C).
    29. Ahakwa, Isaac & Xu, Yi & Tackie, Evelyn Agba, 2023. "Greening human capital towards environmental quality in Ghana: Insight from the novel dynamic ARDL simulation approach," Energy Policy, Elsevier, vol. 176(C).
    30. Jie Chang & Pingjun Sun & Guoen Wei, 2022. "Spatial Driven Effects of Multi-Dimensional Urbanization on Carbon Emissions: A Case Study in Chengdu-Chongqing Urban Agglomeration," Land, MDPI, vol. 11(10), pages 1-19, October.
    31. Zhao, Jun & Wang, Bo & Dong, Kangyin & Shahbaz, Muhammad & Ni, Guohua, 2023. "How do energy price shocks affect global economic stability? Reflection on geopolitical conflicts," Energy Economics, Elsevier, vol. 126(C).
    32. Wei, Jia & Wen, Jun & Wang, Xiao-Yang & Ma, Jie & Chang, Chun-Ping, 2023. "Green innovation, natural extreme events, and energy transition: Evidence from Asia-Pacific economies," Energy Economics, Elsevier, vol. 121(C).
    33. Zhang, Wei & Liu, Xuemeng & Wang, Die & Zhou, Jianping, 2022. "Digital economy and carbon emission performance: Evidence at China's city level," Energy Policy, Elsevier, vol. 165(C).
    34. Huang, Xiaoyong & Yu, Cong & Chen, Yunping & Jia, Fei & Xu, Xiangyun, 2022. "Rigid payment breaking, default spread and yields of Chinese treasury bonds," The North American Journal of Economics and Finance, Elsevier, vol. 59(C).
    35. Gao, Kang & Yuan, Yijun, 2021. "The effect of innovation-driven development on pollution reduction: Empirical evidence from a quasi-natural experiment in China," Technological Forecasting and Social Change, Elsevier, vol. 172(C).
    36. Liao, Xiaoli & Nawi, Hafizah Mat & An, Pham Hoang & Mabrouk, Fatma & Kholikova, Rukhsora & Arnone, Gioia & Sahawneh, Nizar M.F., 2024. "Influence of fintech, natural resources, and energy transition on environmental degradation of BRICS countries: Moderating role of human capital," Resources Policy, Elsevier, vol. 92(C).
    37. Yongjiao Wu & Huazhu Zheng & Yu Li & Claudio O. Delang & Jiao Qian, 2021. "Carbon Productivity and Mitigation: Evidence from Industrial Development and Urbanization in the Central and Western Regions of China," Sustainability, MDPI, vol. 13(16), pages 1-23, August.
    38. Li, Shuoshuo & Liu, Yaobin & Elahi, Ehsan & Meng, Xiao & Deng, Weifeng, 2023. "A new type of urbanization policy and transition of low-carbon society: A "local- neighborhood" perspective," Land Use Policy, Elsevier, vol. 131(C).
    39. Ke Huang & Teng Wang & Jiachao Peng & Lijun Sun, 2023. "The Impact of Export Sophistication of the New Energy Industry on Carbon Emissions: An Empirical Study," Energies, MDPI, vol. 16(9), pages 1-15, April.
    40. Licong Xing & Edmund Ntom Udemba & Merve Tosun & Ibrahim Abdallah & Imed Boukhris, 2023. "Sustainable development policies of renewable energy and technological innovation toward climate and sustainable development goals," Sustainable Development, John Wiley & Sons, Ltd., vol. 31(2), pages 1178-1192, April.
    41. Bingquan Liu & Yue Wang & Xuran Chang & Boyang Nie & Lingqi Meng & Yongqing Li, 2022. "Does Land Urbanization Affect the Catch-Up Effect of Carbon Emissions Reduction in China’s Logistics?," Land, MDPI, vol. 11(9), pages 1-18, September.
    42. Shah, Syed Ale Raza & Zhang, Qianxiao & Abbas, Jaffar & Balsalobre-Lorente, Daniel & Pilař, Ladislav, 2023. "Technology, Urbanization and Natural Gas Supply Matter for Carbon Neutrality: A New Evidence of Environmental Sustainability under the Prism of COP26," Resources Policy, Elsevier, vol. 82(C).
    43. Wang, Bin & Yu, Minxiu & Zhu, Yucheng & Bao, Pinjuan, 2021. "Unveiling the driving factors of carbon emissions from industrial resource allocation in China: A spatial econometric perspective," Energy Policy, Elsevier, vol. 158(C).
    44. Shu, Yunxia & Deng, Nanxin & Wu, Yuming & Bao, Shuming & Bie, Ao, 2023. "Urban governance and sustainable development: The effect of smart city on carbon emission in China," Technological Forecasting and Social Change, Elsevier, vol. 193(C).
    45. Zhao Yang, 2023. "Can the Digitalization Reduce Carbon Emission Intensity?—The Moderating Effects of the Fiscal Decentralization," Sustainability, MDPI, vol. 15(11), pages 1-16, June.
    46. Jiang, Qichuan & Ma, Xuejiao, 2021. "Spillovers of environmental regulation on carbon emissions network," Technological Forecasting and Social Change, Elsevier, vol. 169(C).
    47. Weisong Li & Zhenwei Wang & Zhibin Mao & Jiaxing Cui, 2022. "Spatially Non-Stationary Response of Carbon Emissions to Urbanization in Han River Ecological Economic Belt, China," IJERPH, MDPI, vol. 20(1), pages 1-15, December.
    48. Huang, Junbing & He, Wanrui & Dong, Xinwei & Wang, Qiuhan & Wu, Jun, 2024. "How does green finance reduce China's carbon emissions by fostering green technology innovation?," Energy, Elsevier, vol. 298(C).
    49. Sai Yuan & Xiongfeng Pan, 2023. "The spatiotemporal effects of green fiscal expenditure on low-carbon transition: empirical evidence from china’s low-carbon pilot cities," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 70(2), pages 507-533, April.
    50. Xu, Aiting & Song, Miaoyuan & Wu, Yunguang & Luo, Yifan & Zhu, Yuhan & Qiu, Keyang, 2024. "Effects of new urbanization on China's carbon emissions: A quasi-natural experiment based on the improved PSM-DID model," Technological Forecasting and Social Change, Elsevier, vol. 200(C).
    51. Du, Gang & Li, Wendi, 2022. "Does innovative city building promote green logistics efficiency? Evidence from a quasi-natural experiment with 285 cities," Energy Economics, Elsevier, vol. 114(C).
    52. Wenhao Qi & Changxing Song & Meng Sun & Liguo Wang & Youcheng Han, 2022. "Sustainable Growth Drivers: Unveiling the Role Played by Carbon Productivity," IJERPH, MDPI, vol. 19(3), pages 1-25, January.
    53. Ullah, Assad & Dogan, Mesut & Pervaiz, Amber & Ather Bukhari, Azaz Ali & Akkus, Hilmi Tunahan & Dogan, Husna, 2024. "The impact of digitalization, technological and financial innovation on environmental quality in OECD countries: Investigation of N-shaped EKC hypothesis," Technology in Society, Elsevier, vol. 77(C).
    54. Fan, Jingjing & Wang, Jianliang & Qiu, Jixiang & Li, Nu, 2023. "Stage effects of energy consumption and carbon emissions in the process of urbanization: Evidence from 30 provinces in China," Energy, Elsevier, vol. 276(C).

  9. Ze-Lin Na & Huan-Mei Yao & Hua-Quan Chen & Yi-Ming Wei & Ke Wen & Yi Huang & Peng-Ren Liao, 2021. "Retrieval and Evaluation of Chlorophyll-A Spatiotemporal Variability Using GF-1 Imagery: Case Study of Qinzhou Bay, China," Sustainability, MDPI, vol. 13(9), pages 1-13, April.

    Cited by:

    1. Yun Xue & Yi-Min Wen & Zhong-Man Duan & Wei Zhang & Fen-Liang Liu, 2021. "Retrieval of Chlorophyll a Concentration in Water Considering High-Concentration Samples and Spectral Absorption Characteristics," Sustainability, MDPI, vol. 13(21), pages 1-14, November.

  10. Jinna Yu & Yiming Wei & Wei Fang & Zhen Liu & Yujie Zhang & Jing Lan, 2021. "New Round of Collective Forest Rights Reform, Forestland Transfer and Household Production Efficiency," Land, MDPI, vol. 10(9), pages 1-22, September.

    Cited by:

    1. Jian Wei & Hui Xiao & Hao Liu & Xiaotao Huang & Dahong Zhang, 2022. "Does the Collective Forestland Tenure Reform Promote Rural Households’ Forestry Inputs? Based on Dual Perspectives of Rural Households’ Divergence and Inter-Generational Differences," Sustainability, MDPI, vol. 14(20), pages 1-23, October.
    2. Shuning Zhu & Jinlong Liu & Hao Xu & Lingchao Li & Wentao Yang, 2022. "Has China’s New Round of Collective Forest Reforms Reduced Forest Fragmentation? A Case Study of the Beijing–Tianjin–Hebei Region," IJERPH, MDPI, vol. 19(10), pages 1-15, May.
    3. Yuge Wang & Apurbo Sarkar & Min Li & Zehui Chen & Ahmed Khairul Hasan & Quanxing Meng & Md. Shakhawat Hossain & Md. Ashfikur Rahman, 2022. "Evaluating the Impact of Forest Tenure Reform on Farmers’ Investment in Public Welfare Forest Areas: A Case Study of Gansu Province, China," Land, MDPI, vol. 11(5), pages 1-17, May.
    4. Juan Wu & Wenjing Yu & Xiaobing Liu & Yali Wen, 2022. "Analysis of Influencing Factors and Income Effect of Heterogeneous Agricultural Households’ Forestland Transfer," Land, MDPI, vol. 11(9), pages 1-17, September.
    5. Min Li & Apurbo Sarkar & Yuge Wang & Ahmed Khairul Hasan & Quanxing Meng, 2022. "Evaluating the Impact of Ecological Property Rights to Trigger Farmers’ Investment Behavior—An Example of Confluence Area of Heihe Reservoir, Shaanxi, China," Land, MDPI, vol. 11(3), pages 1-23, February.
    6. Ying Cheng & Zhongbao Liu & Yuan Hu & Weizhong Zeng, 2023. "The Influence of Farmers’ Cognition on Forest Land Transfer Behavior: A Case Study of Chengdu City," Land, MDPI, vol. 12(10), pages 1-14, October.

  11. Yu, Shiwei & Lu, Tingwei & Hu, Xing & Liu, Lancui & Wei, Yi-Ming, 2021. "Determinants of overcapacity in China’s renewable energy industry: Evidence from wind, photovoltaic, and biomass energy enterprises," Energy Economics, Elsevier, vol. 97(C).

    Cited by:

    1. Lin, Boqiang & Xie, Yongjing, 2023. "Positive or negative? R&D subsidies and green technology innovation: Evidence from China's renewable energy industry," Renewable Energy, Elsevier, vol. 213(C), pages 148-156.
    2. Li, Tianyu & Gao, Ciwei & Chen, Tao & Jiang, Yu & Feng, Yingchun, 2022. "Medium and long-term electricity market trading strategy considering renewable portfolio standard in the transitional period of electricity market reform in Jiangsu, China," Energy Economics, Elsevier, vol. 107(C).
    3. Wang, Bo & Zhao, Jun & Dong, Kangyin & Jiang, Qingzhe, 2022. "High-quality energy development in China: Comprehensive assessment and its impact on CO2 emissions," Energy Economics, Elsevier, vol. 110(C).
    4. Liu, Xinyu & Yang, Jianping & Yang, Chunhe & Zhang, Zheyuan & Chen, Weizhong, 2023. "Numerical simulation on cavern support of compressed air energy storage(CAES)considering thermo-mechanical coupling effect," Energy, Elsevier, vol. 282(C).
    5. Zhu, Xiangdong & He, Canfei & Gu, Zhutong, 2021. "Benefit from local or destination? The export expansion of Chinese photovoltaic industry under trade protection," Energy Economics, Elsevier, vol. 104(C).
    6. Su, Zhifang & Guo, Qianqian & Lee, Hsiang-Tai, 2022. "Green finance policy and enterprise energy consumption intensity: Evidence from a quasi-natural experiment in China," Energy Economics, Elsevier, vol. 115(C).
    7. Yan, Chen & Ji, Yaxing & Chen, Rui, 2023. "Research on the mechanism of selective industrial policies on enterprises' innovation performance ——Evidence from China's photovoltaic industry," Renewable Energy, Elsevier, vol. 215(C).
    8. Wang, Xiaolei & Deng, Renxin & Yang, Yufang, 2023. "The spatiotemporal effect of factor price distortion on capacity utilization in China’s iron and steel industry," Resources Policy, Elsevier, vol. 86(PA).
    9. Luo, Jiahui & Dong, Jingrong & Tan, Zhixiong & Zhang, Haitao & Zhang, Wenqing, 2024. "Relatedness, digital economy and renewable energy product evolution—based on product space perspective," Energy Policy, Elsevier, vol. 186(C).
    10. Zhang, Teng & Xu, Zhiwei, 2023. "The informational feedback effect of stock prices on corporate investments: A comparison of new energy firms and traditional energy firms in China," Energy Economics, Elsevier, vol. 127(PA).
    11. Wang, Zhan-ao & Zheng, Chengsi, 2022. "Is technological innovation the cure for overcapacity? Exploring mediating and moderating mechanisms," Journal of Business Research, Elsevier, vol. 147(C), pages 348-361.
    12. Lin, Boqiang & Xie, Yongjing, 2023. "The impact of government subsidies on capacity utilization in the Chinese renewable energy industry: Does technological innovation matter?," Applied Energy, Elsevier, vol. 352(C).
    13. Hu, Xing & Yu, Shiwei & Fang, Xu & Ovaere, Marten, 2023. "Which combinations of renewable energy policies work better? Insights from policy text synergies in China," Energy Economics, Elsevier, vol. 127(PA).
    14. Lin, Boqiang & Xie, Yongjing, 2024. "The role of venture capital in determining the total factor productivity of renewable energy enterprises: In the context of government subsidy reduction," Energy Economics, Elsevier, vol. 132(C).
    15. Qing Guo & Wenlan You, 2023. "Evaluating the International Competitiveness of RCEP Countries’ Biomass Products in the Context of the New Development Paradigm," Sustainability, MDPI, vol. 15(5), pages 1-27, February.

  12. Kang, Jia-Ning & Wei, Yi-Ming & Liu, Lan-cui & Wang, Jin-Wei, 2021. "Observing technology reserves of carbon capture and storage via patent data: Paving the way for carbon neutral," Technological Forecasting and Social Change, Elsevier, vol. 171(C).

    Cited by:

    1. Yaozong Zhu & Yezhu Wang & Baohuan Zhou & Xiaoli Hu & Yundong Xie, 2023. "A Patent Bibliometric Analysis of Carbon Capture, Utilization, and Storage (CCUS) Technology," Sustainability, MDPI, vol. 15(4), pages 1-20, February.
    2. Song, Xiaohua & Ge, Zeqi & Zhang, Wen & Wang, Zidong & Huang, Yamin & Liu, Hong, 2023. "Study on multi-subject behavior game of CCUS cooperative alliance," Energy, Elsevier, vol. 262(PB).
    3. Jian Hao & Lin Chen & Na Zhang, 2022. "A Statistical Review of Considerations on the Implementation Path of China’s “Double Carbon” Goal," Sustainability, MDPI, vol. 14(18), pages 1-21, September.
    4. Wang Lu & Pietro Bartocci & Alberto Abad & Aldo Bischi & Haiping Yang & Arturo Cabello & Margarita de Las Obras Loscertales & Mauro Zampilli & Francesco Fantozzi, 2023. "Dimensioning Air Reactor and Fuel Reactor of a Pressurized CLC Plant to Be Coupled to a Gas Turbine: Part 2, the Fuel Reactor," Energies, MDPI, vol. 16(9), pages 1-16, April.
    5. Olabi, A.G. & Obaideen, Khaled & Elsaid, Khaled & Wilberforce, Tabbi & Sayed, Enas Taha & Maghrabie, Hussein M. & Abdelkareem, Mohammad Ali, 2022. "Assessment of the pre-combustion carbon capture contribution into sustainable development goals SDGs using novel indicators," Renewable and Sustainable Energy Reviews, Elsevier, vol. 153(C).
    6. Sindhwani, Rahul & Singh, Punj Lata & Behl, Abhishek & Afridi, Mohd. Shayan & Sammanit, Debaroti & Tiwari, Aviral Kumar, 2022. "Modeling the critical success factors of implementing net zero emission (NZE) and promoting resilience and social value creation," Technological Forecasting and Social Change, Elsevier, vol. 181(C).
    7. Hoffmann, Stefan & Lasarov, Wassili & Reimers, Hanna, 2022. "Carbon footprint tracking apps. What drives consumers' adoption intention?," Technology in Society, Elsevier, vol. 69(C).
    8. Choi, Hyunhong & Woo, JongRoul, 2022. "Investigating emerging hydrogen technology topics and comparing national level technological focus: Patent analysis using a structural topic model," Applied Energy, Elsevier, vol. 313(C).
    9. Xi, Xi & Ren, Feifei & Yu, Lean & Yang, Jing, 2023. "Detecting the technology's evolutionary pathway using HiDS-trait-driven tech mining strategy," Technological Forecasting and Social Change, Elsevier, vol. 195(C).
    10. Kang, Jia-Ning & Zhang, Yun-Long & Chen, Weiming, 2022. "Delivering negative emissions innovation on the right track: A patent analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 158(C).

  13. Yang, Bo & Wei, Yi-Ming & Liu, Lan-Cui & Hou, Yun-Bing & Zhang, Kun & Yang, Lai & Feng, Ye, 2021. "Life cycle cost assessment of biomass co-firing power plants with CO2 capture and storage considering multiple incentives," Energy Economics, Elsevier, vol. 96(C).

    Cited by:

    1. Li, Zhimin & Pan, Yanchun & Yang, Wen & Ma, Jianhua & Zhou, Ming, 2021. "Effects of government subsidies on green technology investment and green marketing coordination of supply chain under the cap-and-trade mechanism," Energy Economics, Elsevier, vol. 101(C).
    2. Longo, Sonia & Cellura, Maurizio & Luu, Le Quyen & Nguyen, Thanh Quang & Rincione, Roberta & Guarino, Francesco, 2024. "Circular economy and life cycle thinking applied to the biomass supply chain: A review," Renewable Energy, Elsevier, vol. 220(C).
    3. Zhang, Xinyue & Guo, Xiaopeng & Zhang, Xingping, 2023. "Bidding modes for renewable energy considering electricity-carbon integrated market mechanism based on multi-agent hybrid game," Energy, Elsevier, vol. 263(PA).
    4. Paweł Gładysz & Magdalena Strojny & Łukasz Bartela & Maciej Hacaga & Thomas Froehlich, 2022. "Merging Climate Action with Energy Security through CCS—A Multi-Disciplinary Framework for Assessment," Energies, MDPI, vol. 16(1), pages 1-28, December.
    5. Tan, Zhizhou & Zeng, Xianhai & Lin, Boqiang, 2023. "How do multiple policy incentives influence investors’ decisions on biomass co-firing combined with carbon capture and storage retrofit projects for coal-fired power plants?," Energy, Elsevier, vol. 278(PB).
    6. Ding, Bingqing & Makowski, Marek & Nahorski, Zbigniew & Ren, Hongtao & Ma, Tieju, 2022. "Optimizing the technology pathway of China's liquid fuel production considering uncertain oil prices: A robust programming model," Energy Economics, Elsevier, vol. 115(C).
    7. Li, Xuelian & Chen, Lingzhi & Lin, Jyh-Horng, 2023. "Cap-and-trade mechanisms, green technology investment, and shadow insurance in a black swan environment," Energy Economics, Elsevier, vol. 124(C).
    8. Sin Sokrethya & Zarif Aminov & Nguyen Van Quan & Tran Dang Xuan, 2023. "Feasibility of 10 MW Biomass-Fired Power Plant Used Rice Straw in Cambodia," Energies, MDPI, vol. 16(2), pages 1-18, January.
    9. Guo, Jian & Zhong, Minghao & Chen, Shuran, 2022. "Analysis and simulation of BECCS vertical integration model in China based on evolutionary game and system dynamics," Energy, Elsevier, vol. 252(C).
    10. Lin, Boqiang & Liu, Zhiwei, 2024. "Optimal coal power phase-out pathway considering high renewable energy proportion: A provincial example," Energy Policy, Elsevier, vol. 188(C).
    11. Mohd Idris, Muhammad Nurariffudin & Hashim, Haslenda & Leduc, Sylvain & Yowargana, Ping & Kraxner, Florian & Woon, Kok Sin, 2021. "Deploying bioenergy for decarbonizing Malaysian energy sectors and alleviating renewable energy poverty," Energy, Elsevier, vol. 232(C).
    12. Guo, Jian-Xin & Tan, Xianchun & Gu, Baihe & Zhu, Kaiwei, 2022. "Integration of supply chain management of hybrid biomass power plant with carbon capture and storage operation," Renewable Energy, Elsevier, vol. 190(C), pages 1055-1065.
    13. Chen, Shi & Huang, Fu-Wei & Lin, Jyh-Horng, 2022. "Life insurance policyholder protection, government green subsidy, and cap-and-trade transactions in a black swan environment," Energy Economics, Elsevier, vol. 115(C).
    14. Lin, Boqiang & Liu, Zhiwei, 2024. "Assessment of China's flexible power investment value in the emission trading system," Applied Energy, Elsevier, vol. 359(C).
    15. Dan Yu & Caihong Zhang & Siyi Wang & Lan Zhang, 2023. "Evolutionary Game and Simulation Analysis of Power Plant and Government Behavior Strategies in the Coupled Power Generation Industry of Agricultural and Forestry Biomass and Coal," Energies, MDPI, vol. 16(3), pages 1-19, February.

  14. Liu, Li-Jing & Yao, Yun-Fei & Liang, Qiao-Mei & Qian, Xiang-Yan & Xu, Chun-Lei & Wei, Si-Yi & Creutzig, Felix & Wei, Yi-Ming, 2021. "Combining economic recovery with climate change mitigation: A global evaluation of financial instruments," Economic Analysis and Policy, Elsevier, vol. 72(C), pages 438-453.

    Cited by:

    1. Chen, Zhonglu & Mirza, Nawazish & Huang, Lei & Umar, Muhammad, 2022. "Green Banking—Can Financial Institutions support green recovery?," Economic Analysis and Policy, Elsevier, vol. 75(C), pages 389-395.
    2. Weijiang Liu & Min Liu & Yangyang Li & Tingting Liu, 2024. "How to promote China's green economic development? The combination effects of consumption tax and carbon tax policies," Energy & Environment, , vol. 35(3), pages 1374-1395, May.
    3. Jiang, Shiqi & Lin, Xinyue & Qi, Lingli & Zhang, Yongqiang & Sharp, Basil, 2022. "The macro-economic and CO2 emissions impacts of COVID-19 and recovery policies in China," Economic Analysis and Policy, Elsevier, vol. 76(C), pages 981-996.
    4. Lin, Ling & Jiang, Yong & Zhou, Zhongbao, 2024. "Asymmetric spillover and network connectedness of policy uncertainty, fossil fuel energy, and global ESG investment," Applied Energy, Elsevier, vol. 368(C).
    5. Wang, Haijun & Li, Lingchunzi & Sun, Jiaxuan & Shen, Minghao, 2023. "Carbon emissions abatement with duopoly generators and eco-conscious consumers: Carbon tax vs carbon allowance," Economic Analysis and Policy, Elsevier, vol. 80(C), pages 786-804.
    6. Zhu, Qing & Lu, Kai & Liu, Shan & Ruan, Yinglin & Wang, Lin & Yang, Sung-Byung, 2022. "Can low-carbon value bring high returns? Novel quantitative trading from portfolio-of-investment targets in a new-energy market," Economic Analysis and Policy, Elsevier, vol. 76(C), pages 755-769.

  15. Shen, Meng & Li, Xiang & Lu, Yujie & Cui, Qingbin & Wei, Yi-Ming, 2021. "Personality-based normative feedback intervention for energy conservation," Energy Economics, Elsevier, vol. 104(C).

    Cited by:

    1. Alettin Irmak & Nurlan Kurmanov & Onaikhan Zhadigerova & Zukhra Turdiyeva & Aigul Bakirbekova & Gaukhar Saimagambetova & Assilbek Baidakov & Aigul Mukhamejanova & Madina Tolysbayeva & Sagyngali Seitzh, 2023. "Shaping Energy-Saving Behavior in Education System: A Systematic Review," International Journal of Energy Economics and Policy, Econjournals, vol. 13(4), pages 46-60, July.
    2. Fang, Tianhui & Zheng, Chunling & Wang, Donghua, 2023. "Forecasting the crude oil prices with an EMD-ISBM-FNN model," Energy, Elsevier, vol. 263(PA).

  16. Kang, Jia-Ning & Wei, Yi-Ming & Liu, Lan-cui & Yu, Bi-Ying & Liao, Hua, 2021. "A social learning approach to carbon capture and storage demonstration project management: An empirical analysis," Applied Energy, Elsevier, vol. 299(C).

    Cited by:

    1. Sara Yasemi & Yasin Khalili & Ali Sanati & Mohammadreza Bagheri, 2023. "Carbon Capture and Storage: Application in the Oil and Gas Industry," Sustainability, MDPI, vol. 15(19), pages 1-32, October.
    2. Kévin Nadarajah & Laurent Brun & Stéphanie Bordel & Emeline Ah-Tchine & Anissa Dumesnil & Antoine Marques Mourato & Jacques Py & Laurent Jammes & Xavier Arnauld De Sartre & Alain Somat, 2024. "A Three-Stage Psychosocial Engineering-Based Method to Support Controversy and Promote Mutual Understanding between Stakeholders: The Case of CO 2 Geological Storage," Energies, MDPI, vol. 17(5), pages 1-15, February.
    3. Yanbin Li & Yanting Sun & Yulin Kang & Feng Zhang & Junjie Zhang, 2023. "An Optimal Site Selection Framework for Near-Zero Carbon Emission Power Plants Based on Multiple Stakeholders," Energies, MDPI, vol. 16(2), pages 1-26, January.
    4. Fang, Tianhui & Zheng, Chunling & Wang, Donghua, 2023. "Forecasting the crude oil prices with an EMD-ISBM-FNN model," Energy, Elsevier, vol. 263(PA).

  17. Zhen Liu & Yiming Wei & Qiuming Li & Jing Lan, 2021. "The Mediating Role of Social Capital in Digital Information Technology Poverty Reduction an Empirical Study in Urban and Rural China," Land, MDPI, vol. 10(6), pages 1-21, June.

    Cited by:

    1. Xiaowen Dai & Yi Chen & Chunyan Zhang & Yanqiu He & Jiajia Li, 2023. "Technological Revolution in the Field: Green Development of Chinese Agriculture Driven by Digital Information Technology (DIT)," Agriculture, MDPI, vol. 13(1), pages 1-18, January.
    2. Wang, Shangrui & Cao, Anran & Wang, Guohua & Xiao, Yiming, 2022. "The Impact of energy poverty on the digital divide: The mediating effect of depression and Internet perception," Technology in Society, Elsevier, vol. 68(C).
    3. Maria-Daniela TUDORACHE, 2022. "Poverty in Romania: an analysis at regional level," Theoretical and Applied Economics, Asociatia Generala a Economistilor din Romania / Editura Economica, vol. 0(2(631), S), pages 81-88, Summer.
    4. Zhi Fang & Li Huang & Huan Zhang, 2023. "Analyzing the Impact of Geographic Environment Differences on the Dual Backwardness of Rural Economy and Information in the Perspective of Digital Poverty," Sustainability, MDPI, vol. 15(5), pages 1-11, February.
    5. Xiaohan Li & Yang Lv & Md Nazirul Islam Sarker & Xun Zeng, 2022. "Assessment of Critical Diffusion Factors of Public–Private Partnership and Social Policy: Evidence from Mainland Prefecture-Level Cities in China," Land, MDPI, vol. 11(3), pages 1-15, February.
    6. Kaijian Li & Ruopeng Huang & Guiwen Liu & Asheem Shrestha & Xinyue Fu, 2022. "Social Capital in Neighbourhood Renewal: A Holistic and State of the Art Literature Review," Land, MDPI, vol. 11(8), pages 1-27, July.
    7. Xian Liang & Hui Xiao & Fangmiao Hou & Xuan Guo & Lishan Li & Longjunjiang Huang, 2024. "Breaking the chains of poverty: examining the influence of smartphone usage on multidimensional poverty in rural settings," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-17, December.
    8. Shunran Wang & Fangping Rao & Xianlei Ma & Xiaoping Shi, 2022. "Farmland Dispute Prevention: The Role of Land Titling, Social Capital and Household Capability," Land, MDPI, vol. 11(10), pages 1-14, October.

  18. Yi-Ming Wei & Jia-Ning Kang & Lan-Cui Liu & Qi Li & Peng-Tao Wang & Juan-Juan Hou & Qiao-Mei Liang & Hua Liao & Shi-Feng Huang & Biying Yu, 2021. "A proposed global layout of carbon capture and storage in line with a 2 °C climate target," Nature Climate Change, Nature, vol. 11(2), pages 112-118, February.

    Cited by:

    1. Gu, Changwan & Li, Kai & Gao, Shikang & Li, Jiayu & Mao, Yifan, 2024. "CO2 abatement feasibility for blast furnace CCUS retrofits in BF-BOF steel plants in China," Energy, Elsevier, vol. 294(C).
    2. Changwan Gu & Jingjing Xie & Xiaoyu Li & Xu Gao, 2023. "Levelized Cost Analysis for Blast Furnace CO 2 Capture, Utilization, and Storage Retrofit in China’s Blast Furnace–Basic Oxygen Furnace Steel Plants," Energies, MDPI, vol. 16(23), pages 1-20, November.
    3. Ikonnikova, Svetlana A. & Scanlon, Bridget R. & Berdysheva, Sofia A., 2023. "A global energy system perspective on hydrogen Trade: A framework for the market color and the size analysis," Applied Energy, Elsevier, vol. 330(PA).
    4. Zhuyuan Wang & Ting Hu & Mike Tebyetekerwa & Xiangkang Zeng & Fan Du & Yuan Kang & Xuefeng Li & Hao Zhang & Huanting Wang & Xiwang Zhang, 2024. "Electricity generation from carbon dioxide adsorption by spatially nanoconfined ion separation," Nature Communications, Nature, vol. 15(1), pages 1-9, December.
    5. Jing-Li Fan & Zezheng Li & Xi Huang & Kai Li & Xian Zhang & Xi Lu & Jianzhong Wu & Klaus Hubacek & Bo Shen, 2023. "A net-zero emissions strategy for China’s power sector using carbon-capture utilization and storage," Nature Communications, Nature, vol. 14(1), pages 1-16, December.
    6. Kang, Jia-Ning & Wei, Yi-Ming & Liu, Lan-cui & Wang, Jin-Wei, 2021. "Observing technology reserves of carbon capture and storage via patent data: Paving the way for carbon neutral," Technological Forecasting and Social Change, Elsevier, vol. 171(C).
    7. He, Jianjian & Yang, Yi & Liao, Zhongju & Xu, Anqi & Fang, Kai, 2022. "Linking SDG 7 to assess the renewable energy footprint of nations by 2030," Applied Energy, Elsevier, vol. 317(C).
    8. Xu, Liang & Li, Qi & Myers, Matthew & Cao, Xiaomin, 2023. "Investigation of the enhanced oil recovery mechanism of CO2 synergistically with nanofluid in tight glutenite," Energy, Elsevier, vol. 273(C).
    9. Jing, Jing & Yang, Yanlin & Cheng, Jianmei & Ding, Zhaojing & Wang, Dandan & Jing, Xianwen, 2023. "Analysis of the effect of formation dip angle and injection pressure on the injectivity and migration of CO2 during storage," Energy, Elsevier, vol. 280(C).
    10. Georgescu, Irina Alexandra & Oprea, Simona-Vasilica & Bâra, Adela, 2024. "Investigating the relationship between macroeconomic indicators, renewables and pollution across diverse regions in the globalization era," Applied Energy, Elsevier, vol. 363(C).
    11. Minwoo Hyun & Aleh Cherp & Jessica Jewell & Yeong Jae Kim & Jiyong Eom, 2021. "Feasibility trade-offs in decarbonisation of power sector with high coal dependence: A case of Korea," Papers 2111.02872, arXiv.org.
    12. Lin, Boqiang & Liu, Zhiwei, 2024. "Optimal coal power phase-out pathway considering high renewable energy proportion: A provincial example," Energy Policy, Elsevier, vol. 188(C).
    13. Brenda H. M. Silveira & Hirdan K. M. Costa & Edmilson M. Santos, 2023. "Bioenergy with Carbon Capture and Storage (BECCS) in Brazil: A Review," Energies, MDPI, vol. 16(4), pages 1-18, February.
    14. Yang, Chuxiao & Wu, Haitao & Guo, Yunxia & Hao, Yu, 2024. "Possible carbon circular pathway exploration for oil transition under the consideration of energy supply constraint and uncertainty," Ecological Economics, Elsevier, vol. 222(C).
    15. Zhu, Qingyuan & Wu, Keliu & Guo, Shiqiang & Peng, Fei & Zhang, Shengting & Jiang, Liangliang & Li, Jing & Feng, Dong & Zhang, Yafei & Chen, Zhangxin, 2024. "Pore-scale investigation of CO2-oil miscible flooding in tight reservoir," Applied Energy, Elsevier, vol. 368(C).
    16. Andrew K. Chu & Sally M. Benson & Gege Wen, 2022. "Deep-Learning-Based Flow Prediction for CO 2 Storage in Shale–Sandstone Formations," Energies, MDPI, vol. 16(1), pages 1-21, December.
    17. Muhammad Hammad Rasool & Maqsood Ahmad & Muhammad Ayoub, 2023. "Selecting Geological Formations for CO 2 Storage: A Comparative Rating System," Sustainability, MDPI, vol. 15(8), pages 1-39, April.
    18. Weidong Lei & Wenjing Zhang & Jiawei Zhu, 2024. "Optimal Design of Resilient Carbon Capture, Utilization and Storage (CCUS) Supply Chain Networks under Facility Disruption," Sustainability, MDPI, vol. 16(7), pages 1-19, March.
    19. Masood S. Alivand & Omid Mazaheri & Yue Wu & Ali Zavabeti & Andrew J. Christofferson & Nastaran Meftahi & Salvy P. Russo & Geoffrey W. Stevens & Colin A. Scholes & Kathryn A. Mumford, 2022. "Engineered assembly of water-dispersible nanocatalysts enables low-cost and green CO2 capture," Nature Communications, Nature, vol. 13(1), pages 1-11, December.
    20. Lin, Boqiang & Liu, Zhiwei, 2024. "Assessment of China's flexible power investment value in the emission trading system," Applied Energy, Elsevier, vol. 359(C).
    21. Wang, Yihan & Wen, Zongguo & Xu, Mao & Kosajan, Vorada, 2024. "The carbon-energy-water nexus of the carbon capture, utilization, and storage technology deployment schemes: A case study in China's cement industry," Applied Energy, Elsevier, vol. 362(C).
    22. Liu, Zhe & Zhu, Houle & Wilson, Jeffrey & Adams, Michelle & Walker, Tony R. & Xu, Yueying & Tang, Yu & Wang, Ziyu & Liu, Tongtong & Chen, Qinghua, 2024. "Achieving China's ‘double carbon goals’, an analysis of the potential and cost of carbon capture in the resource-based area: Northwestern China," Energy, Elsevier, vol. 292(C).

  19. S. E. Ammerman & V. Jelic & Y. Wei & V. N. Breslin & M. Hassan & N. Everett & S. Lee & Q. Sun & C. A. Pignedoli & P. Ruffieux & R. Fasel & T. L. Cocker, 2021. "Lightwave-driven scanning tunnelling spectroscopy of atomically precise graphene nanoribbons," Nature Communications, Nature, vol. 12(1), pages 1-9, December.

    Cited by:

    1. Alexa Herter & Amirhassan Shams-Ansari & Francesca Fabiana Settembrini & Hana K. Warner & Jérôme Faist & Marko Lončar & Ileana-Cristina Benea-Chelmus, 2023. "Terahertz waveform synthesis in integrated thin-film lithium niobate platform," Nature Communications, Nature, vol. 14(1), pages 1-9, December.
    2. Ignacio Piquero-Zulaica & Eduardo Corral-Rascón & Xabier Diaz de Cerio & Alexander Riss & Biao Yang & Aran Garcia-Lekue & Mohammad A. Kher-Elden & Zakaria M. Abd El-Fattah & Shunpei Nobusue & Takahiro, 2024. "Deceptive orbital confinement at edges and pores of carbon-based 1D and 2D nanoarchitectures," Nature Communications, Nature, vol. 15(1), pages 1-9, December.

  20. Zhu, Bangzhu & Zhang, Mengfan & Huang, Liqing & Wang, Ping & Su, Bin & Wei, Yi-Ming, 2020. "Exploring the effect of carbon trading mechanism on China's green development efficiency: A novel integrated approach," Energy Economics, Elsevier, vol. 85(C).

    Cited by:

    1. Haoran Zhang & Rongxia Zhang & Guomin Li & Wei Li & Yongrok Choi, 2020. "Has China’s Emission Trading System Achieved the Development of a Low-Carbon Economy in High-Emission Industrial Subsectors?," Sustainability, MDPI, vol. 12(13), pages 1-20, July.
    2. Zhang, Chongchong & Lin, Boqiang, 2024. "Impact of introducing Chinese certified emission reduction scheme to the carbon market: Promoting renewable energy," Renewable Energy, Elsevier, vol. 222(C).
    3. Zhang, Yue-Jun & Cheng, Hao-Sen, 2021. "The impact mechanism of the ETS on CO2 emissions from the service sector: Evidence from Beijing and Shanghai," Technological Forecasting and Social Change, Elsevier, vol. 173(C).
    4. Lin, Boqiang & Xu, Chongchong, 2024. "Reaping green dividend: The effect of China's urban new energy transition strategy on green economic performance," Energy, Elsevier, vol. 286(C).
    5. Liang Shen & Xiaodi Wang & Qinqin Liu & Yuyan Wang & Lingxue Lv & Rongyun Tang, 2021. "Carbon Trading Mechanism, Low-Carbon E-Commerce Supply Chain and Sustainable Development," Mathematics, MDPI, vol. 9(15), pages 1-26, July.
    6. Rui Cao & Yanling Xiao & Fengxue Yin, 2023. "Spatio-Temporal Evolution of High-Quality Development and the Impact of Carbon Emissions Trading Schemes," Sustainability, MDPI, vol. 15(4), pages 1-18, February.
    7. Shi, Qiaoling & Zhao, Yuhuan & Qian, Zhiling & Zheng, Lu & Wang, Song, 2022. "Global value chains participation and carbon emissions: Evidence from Belt and Road countries," Applied Energy, Elsevier, vol. 310(C).
    8. Zhou, Anhua & Xin, Ling & Li, Jun, 2022. "Assessing the impact of the carbon market on the improvement of China's energy and carbon emission performance," Energy, Elsevier, vol. 258(C).
    9. Xingwei Li & Yicheng Huang & Xiangxue Li & Xiang Liu & Jingru Li & Jinrong He & Jiachi Dai, 2022. "How does the Belt and Road policy affect the level of green development? A quasi-natural experimental study considering the CO2 emission intensity of construction enterprises," Palgrave Communications, Palgrave Macmillan, vol. 9(1), pages 1-11, December.
    10. Jiang, Qichuan & Ma, Xuejiao & Wang, Yun, 2021. "How does the one belt one road initiative affect the green economic growth?," Energy Economics, Elsevier, vol. 101(C).
    11. Liu, Feng & Lv, Tao & Meng, Yuan & Li, Cong & Hou, Xiaoran & Xu, Jie & Deng, Xu, 2023. "Potential analysis of BESS and CCUS in the context of China's carbon trading scheme toward the low-carbon electricity system," Renewable Energy, Elsevier, vol. 210(C), pages 462-471.
    12. Zhang, Dongyang & Kong, Qunxi & Wang, Yizhi & Vigne, Samuel A., 2023. "Exquisite workmanship through net-zero emissions? The effects of carbon emission trading policy on firms' export product quality," Energy Economics, Elsevier, vol. 123(C).
    13. Junaid Ashraf, 2024. "How do institutional factors affect sustainable development? A comparative analysis," Economic Change and Restructuring, Springer, vol. 57(2), pages 1-24, April.
    14. Lin, Boqiang & Zhou, Yicheng, 2021. "Does fiscal decentralization improve energy and environmental performance? New perspective on vertical fiscal imbalance," Applied Energy, Elsevier, vol. 302(C).
    15. Zhang, Shengling & Wang, Yao & Hao, Yu & Liu, Zhiwei, 2021. "Shooting two hawks with one arrow: Could China's emission trading scheme promote green development efficiency and regional carbon equality?," Energy Economics, Elsevier, vol. 101(C).
    16. Lin, Boqiang & Zhou, Yicheng, 2022. "Measuring the green economic growth in China: Influencing factors and policy perspectives," Energy, Elsevier, vol. 241(C).
    17. Li, Ye & Chen, Yiyan, 2021. "Development of an SBM-ML model for the measurement of green total factor productivity: The case of pearl river delta urban agglomeration," Renewable and Sustainable Energy Reviews, Elsevier, vol. 145(C).
    18. Xin Yao & Yuanyuan Cheng & Li Zhou & Malin Song, 2022. "Green efficiency performance analysis of the logistics industry in China: based on a kind of machine learning methods," Annals of Operations Research, Springer, vol. 308(1), pages 727-752, January.
    19. Qingyang Wu & Siyu Ren & Yao Hou & Zaoli Yang & Congyu Zhao & Xusheng Yao, 2024. "Easing financial constraints through carbon trading," Empirical Economics, Springer, vol. 67(2), pages 655-691, August.
    20. Yang, Lisha & Li, Yutianhao & Liu, Hongxun, 2021. "Did carbon trade improve green production performance? Evidence from China," Energy Economics, Elsevier, vol. 96(C).
    21. Jie Mi & Chuanpeng Yao & Xiaoyang Zhao & Fei Li, 2024. "Research on the Diffusion Mechanism of Green Technology Innovation Based on Enterprise Perception," Computational Economics, Springer;Society for Computational Economics, vol. 63(5), pages 1981-2010, May.
    22. Peizhu Xin & Min Zhao & Yang Bai, 2022. "Does the Belt and Road Initiative Promote Green Innovation Quality? Evidence from Chinese Cities," Sustainability, MDPI, vol. 14(10), pages 1-19, May.
    23. Li, Changsheng & Qi, Yaping & Liu, Shaohui & Wang, Xu, 2022. "Do carbon ETS pilots improve cities' green total factor productivity? Evidence from a quasi-natural experiment in China," Energy Economics, Elsevier, vol. 108(C).
    24. Di Zhou & Xiaoyu Liang & Ye Zhou & Kai Tang, 2020. "Does Emission Trading Boost Carbon Productivity? Evidence from China’s Pilot Emission Trading Scheme," IJERPH, MDPI, vol. 17(15), pages 1-16, July.
    25. Ullah, Atta & Ullah, Saif & Pinglu, Chen & Khan, Saba, 2023. "Impact of FinTech, governance and environmental taxes on energy transition: Pre-post COVID-19 analysis of belt and road initiative countries," Resources Policy, Elsevier, vol. 85(PA).
    26. Dawei Huang & Gang Chen, 2022. "Can the Carbon Emissions Trading System Improve the Green Total Factor Productivity of the Pilot Cities?—A Spatial Difference-in-Differences Econometric Analysis in China," IJERPH, MDPI, vol. 19(3), pages 1-18, January.
    27. Zhang, Yue-Jun & Jiang, Lin & Shi, Wei, 2020. "Exploring the growth-adjusted energy-emission efficiency of transportation industry in China," Energy Economics, Elsevier, vol. 90(C).
    28. Rui Zhang & Yong Ma & Jie Ren, 2022. "Green Development Performance Evaluation Based on Dual Perspectives of Level and Efficiency: A Case Study of the Yangtze River Economic Belt, China," IJERPH, MDPI, vol. 19(15), pages 1-24, July.
    29. Sheng Xu & Wenran Pan & Demei Wen, 2023. "Do Carbon Emission Trading Schemes Promote the Green Transition of Enterprises? Evidence from China," Sustainability, MDPI, vol. 15(8), pages 1-28, April.
    30. Junfeng Zhang & Jianxu Liu & Jing Li & Yuyan Gao & Chuansong Zhao, 2021. "Green Development Efficiency and Its Influencing Factors in China’s Iron and Steel Industry," Sustainability, MDPI, vol. 13(2), pages 1-15, January.
    31. Qianqian Guo & Zhifang Su & Chaoshin Chiao, 2022. "Carbon emissions trading policy, carbon finance, and carbon emissions reduction: evidence from a quasi-natural experiment in China," Economic Change and Restructuring, Springer, vol. 55(3), pages 1445-1480, August.
    32. Heng Zhang & Ziwei Zhang & Keyuan Sun & Yutong Zou, 2023. "Emission Reduction Effect, Influencing Factors and Economic Impact of China’s Carbon Market: An Empirical Test Based on a Multi-Period DID Model," SAGE Open, , vol. 13(4), pages 21582440231, November.
    33. Yu, Xiang, 2023. "An assessment of the green development efficiency of industrial parks in China: Based on non-desired output and non-radial DEA model," Structural Change and Economic Dynamics, Elsevier, vol. 66(C), pages 81-88.
    34. Huan YAN & Xiaojing LI & Shuang MENG, 2023. "Global Value Chain Participation and Sustainable Growth: Evidence from China," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(2), pages 5-20, June.
    35. Hu, Bo & Zhou, P., 2022. "Can the renewable power consumption guarantee mechanism help activate China's power trading market?," Energy, Elsevier, vol. 253(C).
    36. Boqiang Lin & Chongchong Xu, 2024. "RETRACTED ARTICLE: Evaluating the effect of green fiscal policy on firm energy performance: evidence from China," Economic Change and Restructuring, Springer, vol. 57(2), pages 1-29, April.
    37. Gu, Guangtong & Zheng, Haorong & Tong, Lingyun & Dai, Yaxian, 2022. "Does carbon financial market as an environmental regulation policy tool promote regional energy conservation and emission reduction? Empirical evidence from China," Energy Policy, Elsevier, vol. 163(C).
    38. Miaomiao Tao & Pierre Failler & Lim Thye Goh & Wee Yeap Lau & Hanghang Dong & Liang Xie, 2022. "Quantify the Effect of China’s Emission Trading Scheme on Low-carbon Eco-efficiency: Evidence from China’s 283 Cities," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 27(6), pages 1-33, August.
    39. Liu, Yunqiang & Liu, Sha & Shao, Xiaoyu & He, Yanqiu, 2022. "Policy spillover effect and action mechanism for environmental rights trading on green innovation: Evidence from China's carbon emissions trading policy," Renewable and Sustainable Energy Reviews, Elsevier, vol. 153(C).
    40. Jiaxin Wu & Hongjuan Yang & Tanveer Ahmed, 2023. "An assessment of the policy of poverty alleviation in continuous poverty-stricken areas: evidence from Yunnan Province, China," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(9), pages 9757-9777, September.
    41. Jinlin Li & Litai Chen & Ying Chen & Jiawen He, 2022. "Digital economy, technological innovation, and green economic efficiency—Empirical evidence from 277 cities in China," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 43(3), pages 616-629, April.
    42. Wu, Rongxin & Tan, Zhizhou & Lin, Boqiang, 2023. "Does carbon emission trading scheme really improve the CO2 emission efficiency? Evidence from China's iron and steel industry," Energy, Elsevier, vol. 277(C).
    43. Li Meng & Ke Wang & Taoyong Su & He He, 2022. "Carbon Emission Trading and Corporate Financing: Evidence from China," Energies, MDPI, vol. 15(14), pages 1-13, July.
    44. Dong, Zhaoyingzi & Xiao, Yue, 2024. "Carbon emissions trading policy and climate injustice: A study on economic distributional impacts," Energy, Elsevier, vol. 296(C).
    45. Jiquan Peng & Zihao Zhao & Lili Chen, 2022. "The Impact of High-Standard Farmland Construction Policy on Rural Poverty in China," Land, MDPI, vol. 11(9), pages 1-20, September.
    46. Chuang Li & Qingqing Liu & Qing Li & Hailing Wang, 2022. "Does Innovative Industrial Agglomeration Promote Environmentally-Friendly Development? Evidence from Chinese Prefecture-Level Cities," Sustainability, MDPI, vol. 14(20), pages 1-21, October.
    47. Jieli Hu & Tieli Wang, 2023. "Strategies of Participants in the Carbon Trading Market—An Analysis Based on the Evolutionary Game," Sustainability, MDPI, vol. 15(14), pages 1-24, July.

  21. Wei, Yi-Ming & Qiao, Lu & Lv, Xin, 2020. "The impact of mergers and acquisitions on technology learning in the petroleum industry," Energy Economics, Elsevier, vol. 88(C).

    Cited by:

    1. Dong, Weijia & Li, Ye & Lv, Xin & Yu, Chang, 2021. "How does venture capital spur the innovation of environmentally friendly firms? Evidence from China," Energy Economics, Elsevier, vol. 103(C).

  22. Wang, Peng-Tao & Wei, Yi-Ming & Yang, Bo & Li, Jia-Quan & Kang, Jia-Ning & Liu, Lan-Cui & Yu, Bi-Ying & Hou, Yun-Bing & Zhang, Xian, 2020. "Carbon capture and storage in China’s power sector: Optimal planning under the 2 °C constraint," Applied Energy, Elsevier, vol. 263(C).

    Cited by:

    1. Gu, Changwan & Li, Kai & Gao, Shikang & Li, Jiayu & Mao, Yifan, 2024. "CO2 abatement feasibility for blast furnace CCUS retrofits in BF-BOF steel plants in China," Energy, Elsevier, vol. 294(C).
    2. Callas, Catherine & Saltzer, Sarah D. & Steve Davis, J. & Hashemi, Sam S. & Kovscek, Anthony R. & Okoroafor, Esuru R. & Wen, Gege & Zoback, Mark D. & Benson, Sally M., 2022. "Criteria and workflow for selecting depleted hydrocarbon reservoirs for carbon storage," Applied Energy, Elsevier, vol. 324(C).
    3. Hamid M. Pouran & Seyed M. Karimi & Mariana Padilha Campos Lopes & Yong Sheng, 2022. "What China’s Environmental Policy Means for PV Solar, Electric Vehicles, and Carbon Capture and Storage Technologies," Energies, MDPI, vol. 15(23), pages 1-13, November.
    4. Xiang, Yue & Guo, Yongtao & Wu, Gang & Liu, Junyong & Sun, Wei & Lei, Yutian & Zeng, Pingliang, 2022. "Low-carbon economic planning of integrated electricity-gas energy systems," Energy, Elsevier, vol. 249(C).
    5. Zhang, Kai & Lau, Hon Chung & Liu, Shuyang & Li, Hangyu, 2022. "Carbon capture and storage in the coastal region of China between Shanghai and Hainan," Energy, Elsevier, vol. 247(C).
    6. Chen, Siyuan & Liu, Jiangfeng & Zhang, Qi & Teng, Fei & McLellan, Benjamin C., 2022. "A critical review on deployment planning and risk analysis of carbon capture, utilization, and storage (CCUS) toward carbon neutrality," Renewable and Sustainable Energy Reviews, Elsevier, vol. 167(C).
    7. Chen, Weiming & Zhang, Zhenjun & Chen, Kaiyuan, 2023. "Inter-regional economic-environmental correlation effects of power sector in China," Energy, Elsevier, vol. 278(C).
    8. Tang, Bao-Jun & Guo, Yang-Yang & Yu, Biying & Harvey, L.D. Danny, 2021. "Pathways for decarbonizing China’s building sector under global warming thresholds," Applied Energy, Elsevier, vol. 298(C).
    9. Patange, Omkar S. & Garg, Amit & Jayaswal, Sachin, 2022. "An integrated bottom-up optimization to investigate the role of BECCS in transitioning towards a net-zero energy system: A case study from Gujarat, India," Energy, Elsevier, vol. 255(C).
    10. Hu, Yingying & Wu, Wei, 2023. "Can fossil energy make a soft landing？— the carbon-neutral pathway in China accompanying CCS," Energy Policy, Elsevier, vol. 174(C).
    11. Hou, Guolian & Xiong, Jian & Zhou, Guiping & Gong, Linjuan & Huang, Congzhi & Wang, Shunjiang, 2021. "Coordinated control system modeling of ultra-supercritical unit based on a new fuzzy neural network," Energy, Elsevier, vol. 234(C).
    12. Guo, Jian & Zhong, Minghao & Chen, Shuran, 2022. "Analysis and simulation of BECCS vertical integration model in China based on evolutionary game and system dynamics," Energy, Elsevier, vol. 252(C).
    13. Wang, Zhaohua & Zhang, Hongzhi & Li, Hao & Wang, Bo & Cui, Qi & Zhang, Bin, 2022. "Economic impact and energy transformation of different effort-sharing schemes to pursue 2 ℃ warming limit in China," Applied Energy, Elsevier, vol. 320(C).
    14. Gengyu Gao & Min Zhang & Shanshan Wang & Can Wang & RuiQin Zhang, 2022. "Assessment of pollutant emissions reduction potential of energy infrastructure in industrial parks of Henan Province," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(6), pages 8071-8091, June.
    15. Zhong, Zhiqi & Chen, Yongqiang & Fu, Meiyan & Li, Minzhen & Yang, Kaishuo & Zeng, Lingping & Liang, Jing & Ma, Rupeng & Xie, Quan, 2023. "Role of CO2 geological storage in China's pledge to carbon peak by 2030 and carbon neutrality by 2060," Energy, Elsevier, vol. 272(C).
    16. Zhu, Yanlei & Song, Yan & Yuan, Jiahai, 2021. "Structural distortion and the shortage of peak-load power resources in China: A screening curve approach and case study of Shandong Province," Utilities Policy, Elsevier, vol. 70(C).
    17. Wang, Yihan & Wen, Zongguo & Xu, Mao & Kosajan, Vorada, 2024. "The carbon-energy-water nexus of the carbon capture, utilization, and storage technology deployment schemes: A case study in China's cement industry," Applied Energy, Elsevier, vol. 362(C).

  23. Zhou, Zhongbing & Qin, Quande & Wei, Yi-Ming, 2020. "Government intervention in energy conservation: Justification and warning," Energy Economics, Elsevier, vol. 90(C).

    Cited by:

    1. Zhenjie Yang & Canpeng Huang & Fengjie Liao & Fat Iam Lam & Lue Li & Quande Qin & Bi Fan, 2023. "Exploring the Characteristics of Solid Waste Management Policy in the Guangdong-Hong Kong-Macao Greater Bay Area," Sustainability, MDPI, vol. 15(10), pages 1-17, May.
    2. Huang, Hongyun & Wang, Fengrong & Song, Malin & Balezentis, Tomas & Streimikiene, Dalia, 2021. "Green innovations for sustainable development of China: Analysis based on the nested spatial panel models," Technology in Society, Elsevier, vol. 65(C).
    3. Zhao, Chuan & Guo, Qidong & Jia, Rongwen & Dong, Kangyin & Wang, Kun, 2023. "How does clean energy transition promote original design manufacturers? A three-party evolutionary game analysis," Energy Economics, Elsevier, vol. 126(C).
    4. Lin, Boqiang & Zhou, Yicheng, 2021. "Does fiscal decentralization improve energy and environmental performance? New perspective on vertical fiscal imbalance," Applied Energy, Elsevier, vol. 302(C).

  24. Ke Wang & Jiayu Wang & Klaus Hubacek & Zhifu Mi & Yi‐Ming Wei, 2020. "A cost–benefit analysis of the environmental taxation policy in China: A frontier analysis‐based environmentally extended input–output optimization method," Journal of Industrial Ecology, Yale University, vol. 24(3), pages 564-576, June.

    Cited by:

    1. Tiemei Yan & Tong Zhang & Zhanguo Zhu, 2023. "The Environmental Tax Scheme in China’s Large-Scale Pig Farming: Balancing Economic Burden and Responsibility," Agriculture, MDPI, vol. 13(8), pages 1-20, August.
    2. Delgado, Francisco J. & Freire-González, Jaume & Presno, Maria J., 2022. "Environmental taxation in the European Union: Are there common trends?," Economic Analysis and Policy, Elsevier, vol. 73(C), pages 670-682.
    3. Yingbin Zhou & Siqi Lv & Jianlin Wang & Junbo Tong & Zhong Fang, 2022. "The Impact of Green Taxes on the Carbon Emission Efficiency of China’s Construction Industry," Sustainability, MDPI, vol. 14(9), pages 1-18, April.
    4. Caihua Zhou & Xinmin Zhang, 2020. "Measuring the Efficiency of Fiscal Policies for Environmental Pollution Control and the Spatial Effect of Fiscal Decentralization in China," IJERPH, MDPI, vol. 17(23), pages 1-19, December.
    5. Xianning Wang & Zhengang Ma & Jiusheng Chen & Jingrong Dong, 2023. "Can Regional Eco-Efficiency Forecast the Changes in Local Public Health: Evidence Based on Statistical Learning in China," IJERPH, MDPI, vol. 20(2), pages 1-19, January.
    6. Liu, Fangmei & Li, Li & Liang, Gemin & Huang, Liqiao & Gao, Wei, 2022. "National water footprints and embodied environmental consequences of major economic sectors-a case study of Japan," Structural Change and Economic Dynamics, Elsevier, vol. 60(C), pages 30-46.
    7. Wang, Yizhong & Jeong, Sujong & Hang, Ye & Wang, Qunwei, 2024. "Multi-sector environmental efficiency and productivity: A general Leontief optimization method," Omega, Elsevier, vol. 126(C).

  25. Zhu Liu & Philippe Ciais & Zhu Deng & Ruixue Lei & Steven J. Davis & Sha Feng & Bo Zheng & Duo Cui & Xinyu Dou & Biqing Zhu & Rui Guo & Piyu Ke & Taochun Sun & Chenxi Lu & Pan He & Yuan Wang & Xu Yue , 2020. "Near-real-time monitoring of global CO2 emissions reveals the effects of the COVID-19 pandemic," Nature Communications, Nature, vol. 11(1), pages 1-12, December.

    Cited by:

    1. Aghion, Philippe & Boneva, Lena & Breckenfelder, Johannes & Laeven, Luc & Olovsson, Conny & Popov, Alexander & Rancoita, Elena, 2022. "Financial Markets and Green Innovation," Working Paper Series 2686, European Central Bank.
    2. Béatrice Parguel & Johnson Guillaume, 2021. "Beyond greenwashing: Addressing 'the great illusion' of green advertising," Post-Print halshs-03425494, HAL.
    3. Wifo, 2021. "WIFO-Monatsberichte, Heft 1/2021," WIFO Monatsberichte (monthly reports), WIFO, vol. 94(1), January.
    4. Matteo Böhm & Mirco Nanni & Luca Pappalardo, 2022. "Gross polluters and vehicle emissions reduction," Nature Sustainability, Nature, vol. 5(8), pages 699-707, August.
    5. Ze, Fu & Wong, Wing-Keung & Alhasan, Tariq kamal & Al Shraah, Ata & Ali, Anis & Muda, Iskandar, 2023. "Economic development, natural resource utilization, GHG emissions and sustainable development: A case study of China," Resources Policy, Elsevier, vol. 83(C).
    6. Kristian S. Nielsen & Kimberly A. Nicholas & Felix Creutzig & Thomas Dietz & Paul C. Stern, 2021. "The role of high-socioeconomic-status people in locking in or rapidly reducing energy-driven greenhouse gas emissions," Nature Energy, Nature, vol. 6(11), pages 1011-1016, November.
    7. Donnelly, David & Fricaudet, Marie & Ameli, Nadia, 2023. "“Accelerating institutional funding of low-carbon investment: The potential for an investment emissions intensity tax”," Ecological Economics, Elsevier, vol. 207(C).
    8. Rothengatter, Werner & Zhang, Junyi & Hayashi, Yoshitsugu & Nosach, Anastasiia & Wang, Kun & Oum, Tae Hoon, 2021. "Pandemic waves and the time after Covid-19 – Consequences for the transport sector," Transport Policy, Elsevier, vol. 110(C), pages 225-237.
    9. Yan, Ran & Ma, Minda & Zhou, Nan & Feng, Wei & Xiang, Xiwang & Mao, Chao, 2023. "Towards COP27: Decarbonization patterns of residential building in China and India," Applied Energy, Elsevier, vol. 352(C).
    10. Kazuyuki Miyazaki & Kevin Bowman, 2023. "Predictability of fossil fuel CO2 from air quality emissions," Nature Communications, Nature, vol. 14(1), pages 1-13, December.
    11. Sparks, Kevin & Moehl, Jessica & Weber, Eric & Brelsford, Christa & Rose, Amy, 2022. "Shifting temporal dynamics of human mobility in the United States," Journal of Transport Geography, Elsevier, vol. 99(C).
    12. Richard Bluhm & Pascal Polonik & Kyle S. Hemes & Luke C. Sanford & Susanne A. Benz & Morgan C. Levy & Katharine L. Ricke & Jennifer A. Burney, 2022. "Disparate air pollution reductions during California’s COVID-19 economic shutdown," Nature Sustainability, Nature, vol. 5(6), pages 509-517, June.
    13. Maslinawati Mohamad & Noor Raida Abd Rahman & Hairul Suhaimi Nahar & Coky Fauzi Alfi, 2023. "What Can We Glean from the Past Seven Decades of Voluntary Carbon Emissions Disclosure Research?," International Journal of Energy Economics and Policy, Econjournals, vol. 13(5), pages 83-97, September.
    14. Graziela Darla Araujo Galvão & Steve Evans & Paulo Sergio Scoleze Ferrer & Marly Monteiro de Carvalho, 2022. "Circular business model: Breaking down barriers towards sustainable development," Business Strategy and the Environment, Wiley Blackwell, vol. 31(4), pages 1504-1524, May.
    15. Patino-Artaza, Helena & King, Lewis C. & Savin, Ivan, 2024. "Did COVID-19 really change our lifestyles? Evidence from transport energy consumption in Europe," Energy Policy, Elsevier, vol. 191(C).
    16. Yugang He & Ziqian Zhang, 2022. "Non-Renewable and Renewable Energies, and COVID-19 Pandemic: Do They Matter for China’s Environmental Sustainability?," Energies, MDPI, vol. 15(19), pages 1-14, September.
    17. Filipe Teixeira, João & Silva, Cecília & Moura e Sá, Frederico, 2022. "The role of bike sharing during the coronavirus pandemic: An analysis of the mobility patterns and perceptions of Lisbon’s GIRA users," Transportation Research Part A: Policy and Practice, Elsevier, vol. 159(C), pages 17-34.
    18. Ullah, Atta & Ullah, Saif & Pinglu, Chen & Khan, Saba, 2023. "Impact of FinTech, governance and environmental taxes on energy transition: Pre-post COVID-19 analysis of belt and road initiative countries," Resources Policy, Elsevier, vol. 85(PA).
    19. Fakudze, Sandile & Zhang, Yu & Wei, Yingyuan & Li, Yueh-Heng & Chen, Jianqiang & Wang, Jiaxin & Han, Jiangang, 2023. "Taguchi-optimized oxy-combustion of hydrochar/coal blends for CO2 capture and maximized combustion performance," Energy, Elsevier, vol. 267(C).
    20. Livia Cabernard & Stephan Pfister & Christopher Oberschelp & Stefanie Hellweg, 2022. "Growing environmental footprint of plastics driven by coal combustion," Nature Sustainability, Nature, vol. 5(2), pages 139-148, February.
    21. Shah, Muhammad Ibrahim & Foglia, Matteo & Shahzad, Umer & Fareed, Zeeshan, 2022. "Green innovation, resource price and carbon emissions during the COVID-19 times: New findings from wavelet local multiple correlation analysis," Technological Forecasting and Social Change, Elsevier, vol. 184(C).
    22. Haxhimusa, Adhurim & Liebensteiner, Mario, 2021. "Effects of electricity demand reductions under a carbon pricing regime on emissions: lessons from COVID-19," Energy Policy, Elsevier, vol. 156(C).
    23. Clora, Francesco & Yu, Wusheng & Corong, Erwin, 2023. "Alternative carbon border adjustment mechanisms in the European Union and international responses: Aggregate and within-coalition results," Energy Policy, Elsevier, vol. 174(C).
    24. Fabra, Natalia & Lacuesta, Aitor & Souza, Mateus, 2022. "The implicit cost of carbon abatement during the COVID-19 pandemic," European Economic Review, Elsevier, vol. 147(C).
    25. Fernández-González, Raquel & Puime-Guillén, Félix & Panait, Mirela, 2022. "Multilevel governance, PV solar energy, and entrepreneurship: the generation of green hydrogen as a fuel of renewable origin," Utilities Policy, Elsevier, vol. 79(C).
    26. Jinning Wang & Fangxing Li & Hantao Cui & Qingxin Shi & Trey Mingee, 2022. "Electricity consumption variation versus economic structure during COVID-19 on metropolitan statistical areas in the US," Nature Communications, Nature, vol. 13(1), pages 1-11, December.
    27. Pan Zhang & Zhouling Bai, 2024. "Leaving messages as coproduction: impact of government COVID-19 non-pharmaceutical interventions on citizens’ online participation in China," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-12, December.
    28. McSharry, Patrick & Mawejje, Joseph, 2024. "Estimating urban GDP growth using nighttime lights and machine learning techniques in data poor environments: The case of South Sudan," Technological Forecasting and Social Change, Elsevier, vol. 203(C).
    29. Cottafava, Dario & Gastaldo, Michele & Quatraro, Francesco & Santhiá, Cristina, 2022. "Modeling economic losses and greenhouse gas emissions reduction during the COVID-19 pandemic: Past, present, and future scenarios for Italy," Economic Modelling, Elsevier, vol. 110(C).
    30. Breckenfelder, Johannes & Maćkowiak, Bartosz & Marqués-Ibáñez, David & Olovsson, Conny & Popov, Alexander & Porcellacchia, Davide & Schepens, Glenn, 2023. "The climate and the economy," Working Paper Series 2793, European Central Bank.
    31. Sébastien Bourdin, 2022. "The Challenges of Cohesion Policy in a postpandemic Europe: Towards greater territorial cohesion? [Les défis de la Politique de Cohésion dans une Europe post-pandémique : vers une plus grande cohés," Post-Print hal-04190368, HAL.
    32. Daniela Kletzan-Slamanig & Franz Sinabell, 2021. "Der Beitrag der Konjunkturbelebung zur Transformation. Einordnung von Maßnahmen der Bundesländer," WIFO Monatsberichte (monthly reports), WIFO, vol. 94(1), pages 67-78, January.
    33. Maria Rosaria Alfio & Gabriella Balacco & Marco Delle Rose & Corrado Fidelibus & Paolo Martano, 2022. "A Hydrometeorological Study of Groundwater Level Changes during the COVID-19 Lockdown Year (Salento Peninsula, Italy)," Sustainability, MDPI, vol. 14(3), pages 1-11, February.
    34. Lyu, Chen & Liu, Xiaoman & Wang, Zhen & Yang, Lu & Liu, Hao & Yang, Nan & Xu, Shaodong & Cao, Libin & Zhang, Zhe & Pang, Lingyun & Zhang, Li & Cai, Bofeng, 2023. "An emissions inventory using flight information reveals the long-term changes of aviation CO2 emissions in China," Energy, Elsevier, vol. 262(PB).
    35. Rao, Amar & Lucey, Brian & Kumar, Satish, 2023. "Climate risk and carbon emissions: Examining their impact on key energy markets through asymmetric spillovers," Energy Economics, Elsevier, vol. 126(C).
    36. Halbrügge, Stephanie & Buhl, Hans Ulrich & Fridgen, Gilbert & Schott, Paul & Weibelzahl, Martin & Weissflog, Jan, 2022. "How Germany achieved a record share of renewables during the COVID-19 pandemic while relying on the European interconnected power network," Energy, Elsevier, vol. 246(C).

  26. Zhu Liu & Philippe Ciais & Zhu Deng & Ruixue Lei & Steven J. Davis & Sha Feng & Bo Zheng & Duo Cui & Xinyu Dou & Biqing Zhu & Rui Guo & Piyu Ke & Taochun Sun & Chenxi Lu & Pan He & Yuan Wang & Xu Yue , 2020. "Author Correction: Near-real-time monitoring of global CO2 emissions reveals the effects of the COVID-19 pandemic," Nature Communications, Nature, vol. 11(1), pages 1-1, December.

    Cited by:

    1. Aghion, Philippe & Boneva, Lena & Breckenfelder, Johannes & Laeven, Luc & Olovsson, Conny & Popov, Alexander & Rancoita, Elena, 2022. "Financial Markets and Green Innovation," Working Paper Series 2686, European Central Bank.
    2. Ze, Fu & Wong, Wing-Keung & Alhasan, Tariq kamal & Al Shraah, Ata & Ali, Anis & Muda, Iskandar, 2023. "Economic development, natural resource utilization, GHG emissions and sustainable development: A case study of China," Resources Policy, Elsevier, vol. 83(C).
    3. Rothengatter, Werner & Zhang, Junyi & Hayashi, Yoshitsugu & Nosach, Anastasiia & Wang, Kun & Oum, Tae Hoon, 2021. "Pandemic waves and the time after Covid-19 – Consequences for the transport sector," Transport Policy, Elsevier, vol. 110(C), pages 225-237.
    4. Graziela Darla Araujo Galvão & Steve Evans & Paulo Sergio Scoleze Ferrer & Marly Monteiro de Carvalho, 2022. "Circular business model: Breaking down barriers towards sustainable development," Business Strategy and the Environment, Wiley Blackwell, vol. 31(4), pages 1504-1524, May.
    5. Ullah, Atta & Ullah, Saif & Pinglu, Chen & Khan, Saba, 2023. "Impact of FinTech, governance and environmental taxes on energy transition: Pre-post COVID-19 analysis of belt and road initiative countries," Resources Policy, Elsevier, vol. 85(PA).
    6. Fakudze, Sandile & Zhang, Yu & Wei, Yingyuan & Li, Yueh-Heng & Chen, Jianqiang & Wang, Jiaxin & Han, Jiangang, 2023. "Taguchi-optimized oxy-combustion of hydrochar/coal blends for CO2 capture and maximized combustion performance," Energy, Elsevier, vol. 267(C).
    7. Shah, Muhammad Ibrahim & Foglia, Matteo & Shahzad, Umer & Fareed, Zeeshan, 2022. "Green innovation, resource price and carbon emissions during the COVID-19 times: New findings from wavelet local multiple correlation analysis," Technological Forecasting and Social Change, Elsevier, vol. 184(C).
    8. Clora, Francesco & Yu, Wusheng & Corong, Erwin, 2023. "Alternative carbon border adjustment mechanisms in the European Union and international responses: Aggregate and within-coalition results," Energy Policy, Elsevier, vol. 174(C).
    9. Fabra, Natalia & Lacuesta, Aitor & Souza, Mateus, 2022. "The implicit cost of carbon abatement during the COVID-19 pandemic," European Economic Review, Elsevier, vol. 147(C).
    10. Pan Zhang & Zhouling Bai, 2024. "Leaving messages as coproduction: impact of government COVID-19 non-pharmaceutical interventions on citizens’ online participation in China," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-12, December.
    11. McSharry, Patrick & Mawejje, Joseph, 2024. "Estimating urban GDP growth using nighttime lights and machine learning techniques in data poor environments: The case of South Sudan," Technological Forecasting and Social Change, Elsevier, vol. 203(C).

  27. Zhifu Mi & Jiali Zheng & Jing Meng & Jiamin Ou & Klaus Hubacek & Zhu Liu & D’Maris Coffman & Nicholas Stern & Sai Liang & Yi-Ming Wei, 2020. "Economic development and converging household carbon footprints in China," Nature Sustainability, Nature, vol. 3(7), pages 529-537, July.

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    1. Ke Zhang & Xingwei Wang, 2021. "Pollution Haven Hypothesis of Global CO 2 , SO 2 , NO x —Evidence from 43 Economies and 56 Sectors," IJERPH, MDPI, vol. 18(12), pages 1-27, June.
    2. Dong, Jie & Ren, Yanjun & Glauben, Thomas, 2024. "Gospel or curse: The impact of religious beliefs on energy poverty in rural China," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 11.
    3. Qinghua Li & Cong Chen, 2023. "Analyzing the Differences in the Quantitative and Spatial Characteristics of Inter-Provincial Embodied Carbon Transfers in China Induced via Various Demand Factors," Energies, MDPI, vol. 16(23), pages 1-29, November.
    4. Shi, Xunpeng & Wang, Keying & Cheong, Tsun Se & Zhang, Hongwu, 2020. "Prioritizing driving factors of household carbon emissions: An application of the LASSO model with survey data," Energy Economics, Elsevier, vol. 92(C).
    5. Yanxiao Jiang & Zhou Huang, 2024. "Impact of urban vitality on carbon emission—an analysis of 222 Chinese cities based on the spatial Durbin model," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-15, December.
    6. Wang, Lunche & Qiu, Tianzhi & Zhang, Ming & Cao, Qian & Qin, Wenmin & Wang, Shaoqiang & Wang, Lizhe & Chen, Deliang & Wild, Martin, 2024. "Carbon emissions and reduction performance of photovoltaic systems in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 200(C).
    7. Liu, Xinru & Wang, Ke, 2024. "The inequality of household carbon footprint in China: A city-level analysis," Energy Policy, Elsevier, vol. 188(C).
    8. Xiaojie Wang & Rongqing Han & Minghua Zhao, 2023. "Evaluation and Impact Mechanism of High-Quality Development in China’s Coastal Provinces," IJERPH, MDPI, vol. 20(2), pages 1-24, January.
    9. Liu, Li-Jing & Liu, Lan-Cui & Liang, Qiao-Mei, 2023. "Restructuring investment to promote a win–win situation for both the economy and the environment in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 182(C).
    10. Bu, Yan & Wang, Erda & Möst, Dominik & Lieberwirth, Martin, 2022. "How population migration affects carbon emissions in China: Factual and counterfactual scenario analysis," Technological Forecasting and Social Change, Elsevier, vol. 184(C).
    11. Xie, Jun & Zhou, Shaojie & Teng, Fei & Gu, Alun, 2023. "The characteristics and driving factors of household CO2 and non-CO2 emissions in China," Ecological Economics, Elsevier, vol. 213(C).
    12. Cudjoe, Dan & Zhu, Bangzhu & Wang, Hong, 2024. "The role of incentive policies and personal innovativeness in consumers' carbon footprint tracking apps adoption in China," Journal of Retailing and Consumer Services, Elsevier, vol. 79(C).
    13. An, Na & Huang, Chenyu & Shen, Yanting & Wang, Jinyu & Yu, Zhongqi & Fu, Jiayan & Liu, Xiao & Yao, Jiawei, 2024. "Efficient data-driven prediction of household carbon footprint in China with limited features," Energy Policy, Elsevier, vol. 185(C).
    14. Lei, Mingyu & Cai, Wenjia & Liu, Wenling & Wang, Can, 2022. "The heterogeneity in energy consumption patterns and home appliance purchasing preferences across urban households in China," Energy, Elsevier, vol. 253(C).
    15. Du, Huibin & Liu, Huiwen & Zhang, Zengkai, 2022. "The unequal exchange of air pollution and economic benefits embodied in Beijing-Tianjin-Hebei's consumption," Ecological Economics, Elsevier, vol. 195(C).
    16. Sun, Xinlu & Mi, Zhifu & Zhang, Jin & Li, Jinkai, 2024. "Driving factors of carbon emissions from household energy combustion in China," Energy Policy, Elsevier, vol. 186(C).
    17. Zhou, Qiang & Liu, Yong & Qu, Shen, 2022. "Emission effects of China's rural revitalization: The nexus of infrastructure investment, household income, and direct residential CO2 emissions," Renewable and Sustainable Energy Reviews, Elsevier, vol. 167(C).
    18. Gao, Ming & Ma, Ke & Yu, Jie, 2023. "The characteristics and drivers of China’s city-level urban-rural activity sectors’ carbon intensity gap during urban land expansion," Energy Policy, Elsevier, vol. 181(C).
    19. Ling, Yantao & Xia, Senmao & Cao, Mengqiu & He, Kerun & Lim, Ming K. & Sukumar, Arun & Yi, Huiyong & Qian, Xiaoduo, 2021. "Carbon emissions in China's thermal electricity and heating industry: an input-output structural decomposition analysis," LSE Research Online Documents on Economics 112930, London School of Economics and Political Science, LSE Library.
    20. Kang, Jia-Ning & Wei, Yi-Ming & Liu, Lan-cui & Wang, Jin-Wei, 2021. "Observing technology reserves of carbon capture and storage via patent data: Paving the way for carbon neutral," Technological Forecasting and Social Change, Elsevier, vol. 171(C).
    21. Zhang, Yun-Long & Liu, Lan-Cui & Kang, Jia-Ning & Peng, Song & Mi, Zhifu & Liao, Hua & Wei, Yi-Ming, 2024. "Economic feasibility assessment of coal-biomass co-firing power generation technology," Energy, Elsevier, vol. 296(C).
    22. Córcoles, Carmen & López, Luis Antonio & Osorio, Pilar & Zafrilla, Jorge, 2024. "The carbon footprint of the empty Castilla-La Mancha," Energy Policy, Elsevier, vol. 184(C).
    23. Liang, Longwu & Chen, Mingxing & Zhang, Xiaoping & Sun, Mingxing, 2024. "Understanding changes in household carbon footprint during rapid urbanization in China," Energy Policy, Elsevier, vol. 185(C).
    24. Jiansheng Qu & Lina Liu & Jingjing Zeng & Tek Narayan Maraseni & Zhiqiang Zhang, 2022. "City-Level Determinants of Household CO 2 Emissions per Person: An Empirical Study Based on a Large Survey in China," Land, MDPI, vol. 11(6), pages 1-14, June.
    25. Ma, Shaoyue & Xu, Xiangbo & Li, Chang & Zhang, Linxiu & Sun, Mingxing, 2021. "Energy consumption inequality decrease with energy consumption increase: Evidence from rural China at micro scale," Energy Policy, Elsevier, vol. 159(C).
    26. Simionescu, Mihaela & Radulescu, Magdalena & Cifuentes-Faura, Javier & Balsalobre-Lorente, Daniel, 2023. "The role of renewable energy policies in TACKLING energy poverty in the European UNION," Energy Policy, Elsevier, vol. 183(C).
    27. Lin, Boqiang & Jia, Huanyu, 2024. "Present-biased individuals and their underinvestment in household energy efficiency: Evidence from first-tier Chinese cities," Energy Policy, Elsevier, vol. 185(C).
    28. Shen, Jun & Tang, Pengcheng & Zeng, Hao & Cheng, Jinhua & Liu, Xiuli, 2023. "Does emission trading system reduce mining cities’ pollution emissions? A quasi-natural experiment based on Chinese prefecture-level cities," Resources Policy, Elsevier, vol. 81(C).
    29. Yu, Feng & Dong, Huijuan & Geng, Yong & Fang, Alex S. & Li, Haifeng, 2022. "Uncovering the differences of household carbon footprints and driving forces between China and Japan," Energy Policy, Elsevier, vol. 165(C).
    30. Zhang, Yimeng & Wang, Feng & Zhang, Bing, 2023. "The impacts of household structure transitions on household carbon emissions in China," Ecological Economics, Elsevier, vol. 206(C).
    31. Lee, Yujin & Liao, Chuan, 2024. "Upholding household agency in climate mitigation and socio-technical energy transition in Ethiopia," Energy Policy, Elsevier, vol. 188(C).
    32. Jingwei Han & Zhixiong Tan & Maozhi Chen & Liang Zhao & Ling Yang & Siying Chen, 2022. "Carbon Footprint Research Based on Input–Output Model—A Global Scientometric Visualization Analysis," IJERPH, MDPI, vol. 19(18), pages 1-23, September.
    33. Yuan, Rong & Wang, Juan, 2021. "Impacts of poverty alleviation on household GHG footprints in China," Energy Economics, Elsevier, vol. 103(C).
    34. Wu, Libo & Zhang, Shuaishuai & Qian, Haoqi, 2022. "Distributional effects of China's National Emissions Trading Scheme with an emphasis on sectoral coverage and revenue recycling," Energy Economics, Elsevier, vol. 105(C).
    35. Gao, Xue & Chen, Xuan & Liu, Lan-Cui, 2024. "Exploring the determinants of the evolution of urban and rural household carbon footprints inequality in China," Energy Policy, Elsevier, vol. 185(C).
    36. Peng, Hui & Lu, Yaobin & Wang, Qunwei, 2023. "How does heterogeneous industrial agglomeration affect the total factor energy efficiency of China's digital economy," Energy, Elsevier, vol. 268(C).
    37. Wang, Keying & Cui, Yongyan & Zhang, Hongwu & Shi, Xunpeng & Xue, Jinjun & Yuan, Zhao, 2022. "Household carbon footprints inequality in China: Drivers, components and dynamics," Energy Economics, Elsevier, vol. 115(C).
    38. Bing Xia & Suocheng Dong & Zehong Li & Minyan Zhao & Dongqi Sun & Wenbiao Zhang & Yu Li, 2022. "Eco-Efficiency and Its Drivers in Tourism Sectors with Respect to Carbon Emissions from the Supply Chain: An Integrated EEIO and DEA Approach," IJERPH, MDPI, vol. 19(11), pages 1-26, June.
    39. Yutong Sun & Shangrong Jiang & Shouyang Wang, 2024. "The environmental impacts and sustainable pathways of the global diamond industry," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-12, December.
    40. Jichao Geng & Na Yang & Wei Zhang & Li Yang, 2023. "Public Willingness to Pay for Green Lifestyle in China: A Contingent Valuation Method Based on Integrated Model," IJERPH, MDPI, vol. 20(3), pages 1-23, January.
    41. Haiqiao Wang & Li Shang & Decai Tang & Zhijiang Li, 2024. "Research Themes, Evolution Trends, and Future Challenges in China’s Carbon Emission Studies," Sustainability, MDPI, vol. 16(5), pages 1-22, March.
    42. Sun, Shuyu & Tong, Kangkang, 2024. "Rural-urban inequality in energy use sufficiency and efficiency during a rapid urbanization period," Applied Energy, Elsevier, vol. 364(C).
    43. Chiqun Hu & Xiaoyu Ma, 2023. "Regional Differences, Dynamic Evolution and Convergence of Carbon Emissions from Rural Residents’ Living Consumption: Evidence from China," Energies, MDPI, vol. 16(16), pages 1-30, August.
    44. Chen, Jiandong & Xu, Chong & Song, Malin & Deng, Xiangzheng & Shen, Zhiyang, 2022. "Towards sustainable development: Distribution effect of carbon-food nexus in Chinese cities," Applied Energy, Elsevier, vol. 309(C).
    45. Lu Jiang & Bowenpeng Ding & Xiaonan Shi & Chunhua Li & Yamei Chen, 2022. "Household Energy Consumption Patterns and Carbon Emissions for the Megacities—Evidence from Guangzhou, China," Energies, MDPI, vol. 15(8), pages 1-21, April.
    46. Jingyu Ji & Hang Lin, 2022. "Evaluating Regional Carbon Inequality and Its Dependence with Carbon Efficiency: Implications for Carbon Neutrality," Energies, MDPI, vol. 15(19), pages 1-35, September.
    47. Li, Jiajia & Li, Jun & Zhang, Jian, 2024. "Can digitalization facilitate low carbon lifestyle? --Evidence from households’ embedded emissions in China," Technology in Society, Elsevier, vol. 76(C).
    48. Zhao, Congyu & Jia, Rongwen & Dong, Kangyin, 2023. "Does financial inclusion achieve the dual dividends of narrowing carbon inequality within cities and between cities? Empirical evidence from China," Technological Forecasting and Social Change, Elsevier, vol. 195(C).
    49. Dong, Kangyin & Ni, Guohua & Taghizadeh-Hesary, Farhad & Zhao, Congyu, 2023. "Does smart transportation matter in inhibiting carbon inequality?," Energy Economics, Elsevier, vol. 126(C).
    50. Zhang, Guoxing & Shen, Lin & Su, Bin, 2023. "Temperature change and daily urban-rural residential electricity consumption in northwestern China: Responsiveness and inequality," Energy Economics, Elsevier, vol. 126(C).
    51. Zhang, Hongwu & Shi, Xunpeng & Cheong, Tsun Se & Wang, Keying, 2020. "Convergence of carbon emissions at the household level in China: A distribution dynamics approach," Energy Economics, Elsevier, vol. 92(C).
    52. Chen, Zhenni & Zhang, Zengkai & Feng, Tong & Liu, Diyi, 2023. "What drives the temporal dynamics and spatial differences of urban and rural household emissions in China?," Energy Economics, Elsevier, vol. 125(C).
    53. Guo, Ji & Xu, Yuanjing & Qu, Yao & Wang, Yiting & Wu, Xianhua, 2023. "Exploring factors affecting household energy consumption in the internet era: Empirical evidence from Chinese households," Energy Policy, Elsevier, vol. 183(C).
    54. Wang, Miao & Feng, Chao, 2021. "Towards a decoupling between economic expansion and carbon dioxide emissions in resources sector: A case study of China’s 29 non-ferrous metal industries," Resources Policy, Elsevier, vol. 74(C).
    55. Huo, Tengfei & Xu, Linbo & Liu, Bingsheng & Cai, Weiguang & Feng, Wei, 2022. "China’s commercial building carbon emissions toward 2060: An integrated dynamic emission assessment model," Applied Energy, Elsevier, vol. 325(C).
    56. Lanre Olatomiwa & James Garba Ambafi & Umar Suleiman Dauda & Omowunmi Mary Longe & Kufre Esenowo Jack & Idowu Adetona Ayoade & Isah Ndakara Abubakar & Alabi Kamilu Sanusi, 2023. "A Review of Internet of Things-Based Visualisation Platforms for Tracking Household Carbon Footprints," Sustainability, MDPI, vol. 15(20), pages 1-32, October.
    57. Zhao, Mengxue & Yuan, Zhihang & Chan, Hon S., 2023. "Housing wealth and household carbon emissions: The role of homeownership in China," Ecological Economics, Elsevier, vol. 212(C).
    58. Liyuan Fu & Qing Wang, 2022. "Spatial and Temporal Distribution and the Driving Factors of Carbon Emissions from Urban Production Energy Consumption," IJERPH, MDPI, vol. 19(19), pages 1-29, September.
    59. Lei, Mingyu & Ding, Qun & Cai, Wenjia & Wang, Can, 2022. "The exploration of joint carbon mitigation actions between demand- and supply-side for specific household consumption behaviors — A case study in China," Applied Energy, Elsevier, vol. 324(C).
    60. Ying Long & Jiahao Feng & Aolong Sun & Rui Wang & Yafei Wang, 2023. "Structural Characteristics of the Household Carbon Footprint in an Aging Society," Sustainability, MDPI, vol. 15(17), pages 1-18, August.
    61. Cheng, Yiming & Zeng, Bo & Lin, Weixing, 2024. "Heterogenous effects of inclusive digital economy and resource distribution mismatch on corporate ESG performance in China," Resources Policy, Elsevier, vol. 92(C).
    62. Zhang, Shaobin & Shi, Baofeng & Ji, Hao, 2023. "How to decouple income growth from household carbon emissions: A perspective based on urban-rural differences in China," Energy Economics, Elsevier, vol. 125(C).
    63. Zhang, Mingming & Liu, Jinghui & Liu, Liyun & Zhou, Dequn, 2023. "Inequality in urban household energy consumption for 30 Chinese provinces," Energy Policy, Elsevier, vol. 172(C).
    64. Cheng, Shulei & Wang, Kexin & Meng, Fanxin & Liu, Gengyuan & An, Jiafu, 2024. "The unanticipated role of fiscal environmental expenditure in accelerating household carbon emissions: Evidence from China," Energy Policy, Elsevier, vol. 185(C).
    65. Wu, Haitao & Xue, Yan & Hao, Yu & Ren, Siyu, 2021. "How does internet development affect energy-saving and emission reduction? Evidence from China," Energy Economics, Elsevier, vol. 103(C).
    66. Dong, Zhaoyingzi & Xiao, Yue, 2024. "Carbon emissions trading policy and climate injustice: A study on economic distributional impacts," Energy, Elsevier, vol. 296(C).
    67. Tantiwatthanaphanich, Thanapan & Shao, Xuan & Huang, Liqiao & Yoshida, Yoshikuni & Long, Yin, 2022. "Evaluating carbon footprint embodied in Japanese food consumption based on global supply chain," Structural Change and Economic Dynamics, Elsevier, vol. 63(C), pages 56-65.
    68. Fang Shen & Zibibula Simayi & Shengtian Yang & Yusuyunjiang Mamitimin & Xiaofen Zhang & Yunyi Zhang, 2023. "A Bibliometric Review of Household Carbon Footprint during 2000–2022," Sustainability, MDPI, vol. 15(7), pages 1-25, April.
    69. Zhang, Qishi & Li, Bo & Liu, Jing-Yu & Deng, Yizhi & Zhang, Runsen & Wu, Wenchao & Geng, Yong, 2024. "Assessing the distributional impacts of ambitious carbon pricing in China's agricultural sector," Ecological Economics, Elsevier, vol. 217(C).
    70. Ying Pan & Ke Shi & Zhongxu Zhao & Yao Li & Junxi Wu, 2024. "The effects of China’s poverty eradication program on sustainability and inequality," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-15, December.
    71. Qianqian Xiao & Zi’ang Chu & Changfeng Shi, 2024. "The Inter-Regional Embodied Carbon Flow Pattern in China Based on Carbon Peaking Stress," Energies, MDPI, vol. 17(12), pages 1-18, June.
    72. Ren, Bo & Li, Huajiao & Wang, Xingxing & Shi, Jianglan & Ma, Ning & Qi, Yajie, 2022. "The flow of embodied minerals between China's provinces and the world: A nested supply chain network perspective," Resources Policy, Elsevier, vol. 78(C).
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  28. Kang, Jia-Ning & Wei, Yi-Ming & Liu, Lan-Cui & Han, Rong & Yu, Bi-Ying & Wang, Jin-Wei, 2020. "Energy systems for climate change mitigation: A systematic review," Applied Energy, Elsevier, vol. 263(C).

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    1. Anna Manowska & Anna Bluszcz & Iwona Chomiak-Orsa & Rafał Wowra, 2024. "Towards Energy Transformation: A Case Study of EU Countries," Energies, MDPI, vol. 17(7), pages 1-26, April.
    2. Steven Jackson & Eivind Brodal, 2021. "Optimization of a Mixed Refrigerant Based H 2 Liquefaction Pre-Cooling Process and Estimate of Liquefaction Performance with Varying Ambient Temperature," Energies, MDPI, vol. 14(19), pages 1-18, September.
    3. Zhang, Sheng & Liu, Jun & Wang, Fenghao & Chai, Jiale, 2023. "Design optimization of medium-deep borehole heat exchanger for building heating under climate change," Energy, Elsevier, vol. 282(C).
    4. Hu, Xueyue & Wang, Chunying & Elshkaki, Ayman, 2024. "Material-energy Nexus: A systematic literature review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 192(C).
    5. Tomasz Jałowiec & Henryk Wojtaszek, 2021. "Analysis of the RES Potential in Accordance with the Energy Policy of the European Union," Energies, MDPI, vol. 14(19), pages 1-33, September.
    6. Lin, Jian & Zhong, Xiaoyi & Wang, Jing & Huang, Yuan & Bai, Xuetao & Wang, Xiaonan & Shah, Nilay & Xie, Shan & Zhao, Yingru, 2021. "Relative optimization potential: A novel perspective to address trade-off challenges in urban energy system planning," Applied Energy, Elsevier, vol. 304(C).
    7. Gilson Dranka, Géremi & Ferreira, Paula & Vaz, A. Ismael F., 2022. "Co-benefits between energy efficiency and demand-response on renewable-based energy systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 169(C).
    8. He, Zhenglei & Liu, Chang & Wang, Yutao & Wang, Xu & Man, Yi, 2023. "Optimal operation of wind-solar-thermal collaborative power system considering carbon trading and energy storage," Applied Energy, Elsevier, vol. 352(C).
    9. Khoshgoftar Manesh, Mohammad Hasan & Davadgaran, Sepehr & Mousavi Rabeti, Seyed Alireza & Blanco-Marigorta, Ana M., 2024. "Optimal 4E evaluation of an innovative solar-wind cogeneration system for sustainable power and fresh water production based on integration of microbial desalination cell, humidification- dehumidifica," Energy, Elsevier, vol. 297(C).
    10. Ogundiran Soumonni & Kalu Ojah, 2022. "Innovative and mission‐oriented financing of renewable energy in Sub‐Saharan Africa: A review and conceptual framework," Wiley Interdisciplinary Reviews: Energy and Environment, Wiley Blackwell, vol. 11(1), January.
    11. Zhang, Yuanshi & Qian, Wenyan & Ye, Yujian & Li, Yang & Tang, Yi & Long, Yu & Duan, Meimei, 2023. "A novel non-intrusive load monitoring method based on ResNet-seq2seq networks for energy disaggregation of distributed energy resources integrated with residential houses," Applied Energy, Elsevier, vol. 349(C).
    12. Tomasz Rokicki & Aleksandra Perkowska, 2021. "Diversity and Changes in the Energy Balance in EU Countries," Energies, MDPI, vol. 14(4), pages 1-19, February.
    13. Tomasz Rokicki & Piotr Bórawski & Barbara Gradziuk & Piotr Gradziuk & Aldona Mrówczyńska-Kamińska & Joanna Kozak & Danuta Jolanta Guzal-Dec & Kamil Wojtczuk, 2021. "Differentiation and Changes of Household Electricity Prices in EU Countries," Energies, MDPI, vol. 14(21), pages 1-21, October.
    14. Karel Nepraš & Tereza Strejčková & Roman Kroufek, 2022. "Climate Change Education in Primary and Lower Secondary Education: Systematic Review Results," Sustainability, MDPI, vol. 14(22), pages 1-20, November.
    15. Olga Orynycz & Karol Tucki, 2020. "Technology Management Leading to a Smart System Solution Assuring a Decrease of Energy Consumption in Recreational Facilities," Energies, MDPI, vol. 13(13), pages 1-22, July.
    16. Zuluaga, Cristian Felipe & Avila-Diaz, Alvaro & Justino, Flavio B. & Martins, Fernando Ramos & Ceron, Wilmar L., 2022. "The climate change perspective of photovoltaic power potential in Brazil," Renewable Energy, Elsevier, vol. 193(C), pages 1019-1031.
    17. Noman Khan & Fath U Min Ullah & Ijaz Ul Haq & Samee Ullah Khan & Mi Young Lee & Sung Wook Baik, 2021. "AB-Net: A Novel Deep Learning Assisted Framework for Renewable Energy Generation Forecasting," Mathematics, MDPI, vol. 9(19), pages 1-18, October.
    18. Spyridoula Karavida & Angeliki Peponi, 2023. "Wind Turbine Blade Waste Circularity Coupled with Urban Regeneration: A Conceptual Framework," Energies, MDPI, vol. 16(3), pages 1-17, February.
    19. Piotr F. Borowski & Barbara Karlikowska, 2023. "Clean Hydrogen Is a Challenge for Enterprises in the Era of Low-Emission and Zero-Emission Economy," Energies, MDPI, vol. 16(3), pages 1-15, January.
    20. Zarif Aminov & Khusniddin Alikulov & Tran-Dang Xuan, 2024. "Economic and Environmental Analyses of an Integrated Power and Hydrogen Production Systems Based on Solar Thermal Energy," Energies, MDPI, vol. 17(17), pages 1-44, August.
    21. Bossink, Bart, 2020. "Learning strategies in sustainable energy demonstration projects: What organizations learn from sustainable energy demonstrations," Renewable and Sustainable Energy Reviews, Elsevier, vol. 131(C).
    22. Mohsin Dhali & Shafiqul Hassan & Umashankar Subramaniam, 2023. "Comparative Analysis of Oil and Gas Legal Frameworks in Bangladesh and Nigeria: A Pathway towards Achieving Sustainable Energy through Policy," Sustainability, MDPI, vol. 15(21), pages 1-30, October.
    23. Dalia Streimikiene & Grigorios L. Kyriakopoulos & Vidas Lekavicius & Indre Siksnelyte-Butkiene, 2021. "Energy Poverty and Low Carbon Just Energy Transition: Comparative Study in Lithuania and Greece," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 158(1), pages 319-371, November.
    24. Pantò, Fabiola & Siracusano, Stefania & Briguglio, Nicola & Aricò, Antonino Salvatore, 2020. "Durability of a recombination catalyst-based membrane-electrode assembly for electrolysis operation at high current density," Applied Energy, Elsevier, vol. 279(C).
    25. Komerath, Narayanan M. & Deepak, Ravi, 2023. "A reversible mid-stratospheric architecture to reduce insolation," Applied Energy, Elsevier, vol. 348(C).
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    27. Blimpo, Moussa P. & Dato, Prudence & Mukhaya, Brian & Odarno, Lily, 2024. "Climate change and economic development in Africa: A systematic review of energy transition modeling research," Energy Policy, Elsevier, vol. 187(C).
    28. Yang, Yang & Liang, Sai & Yang, Yi & Xie, Guang Hui & Zhao, Wei, 2022. "Spatial disparity of life-cycle greenhouse gas emissions from corn straw-based bioenergy production in China," Applied Energy, Elsevier, vol. 305(C).
    29. Xu, Jiuping & Tang, Min & Liu, Tingting & Fan, Lurong, 2024. "Technological paradigm-based development strategy towards natural gas hydrate technology," Energy, Elsevier, vol. 289(C).
    30. Shafiee Roudbari, Erfan & Kantor, Ivan & Menon, Ramanunni Parakkal & Eicker, Ursula, 2024. "Optimization-based decision support for designing industrial symbiosis district energy systems under uncertainty," Applied Energy, Elsevier, vol. 367(C).
    31. Raghu Raman & Walter Leal Filho & Hector Martin & Suparna Ray & Dayana Das & Prema Nedungadi, 2024. "Exploring Sustainable Development Goal Research Trajectories in Small Island Developing States," Sustainability, MDPI, vol. 16(17), pages 1-25, August.
    32. Garrido-Perez, Jose M. & Ordóñez, Carlos & Barriopedro, David & García-Herrera, Ricardo & Paredes, Daniel, 2020. "Impact of weather regimes on wind power variability in western Europe," Applied Energy, Elsevier, vol. 264(C).
    33. Junpei Nan & Jieran Feng & Xu Deng & Chao Wang & Ke Sun & Hao Zhou, 2022. "Hierarchical Low-Carbon Economic Dispatch with Source-Load Bilateral Carbon-Trading Based on Aumann–Shapley Method," Energies, MDPI, vol. 15(15), pages 1-17, July.
    34. Héctor Fernández Rodríguez & Miguel Ángel Pardo, 2023. "A Study of the Relevant Parameters for Converting Water Supply to Small Towns in the Province of Alicante to Systems Powered by Photovoltaic Solar Panels," Sustainability, MDPI, vol. 15(12), pages 1-24, June.
    35. Wörman, Anders & Uvo, Cintia Bertacchi & Brandimarte, Luigia & Busse, Stefan & Crochemore, Louise & Lopez, Marc Girons & Hao, Shuang & Pechlivanidis, Ilias & Riml, Joakim, 2020. "Virtual energy storage gain resulting from the spatio-temporal coordination of hydropower over Europe," Applied Energy, Elsevier, vol. 272(C).
    36. Desport, Lucas & Gurgel, Angelo & Morris, Jennifer & Herzog, Howard & Chen, Yen-Heng Henry & Selosse, Sandrine & Paltsev, Sergey, 2024. "Deploying direct air capture at scale: How close to reality?," Energy Economics, Elsevier, vol. 129(C).
    37. Carla Pestana & Luísa Barros & Sabrina Scuri & Mary Barreto, 2021. "Can HCI Help Increase People’s Engagement in Sustainable Development? A Case Study on Energy Literacy," Sustainability, MDPI, vol. 13(14), pages 1-23, July.
    38. Lifeng Du & Yanmei Yang & Luli Zhou & Min Liu, 2024. "Greenhouse Gas Reduction Potential and Economics of Green Hydrogen via Water Electrolysis: A Systematic Review of Value-Chain-Wide Decarbonization," Sustainability, MDPI, vol. 16(11), pages 1-37, May.
    39. Hannah Mareike Marczinkowski & Luísa Barros, 2020. "Technical Approaches and Institutional Alignment to 100% Renewable Energy System Transition of Madeira Island—Electrification, Smart Energy and the Required Flexible Market Conditions," Energies, MDPI, vol. 13(17), pages 1-22, August.
    40. Elahi, Ehsan & Khalid, Zainab & Zhang, Zhixin, 2022. "Understanding farmers’ intention and willingness to install renewable energy technology: A solution to reduce the environmental emissions of agriculture," Applied Energy, Elsevier, vol. 309(C).
    41. Mohyla, Marek & Hrubesova, Eva & Martinkauppi, Birgitta & Mäkiranta, Anne & Tuomi, Ville, 2024. "Numerical simulation of the thermal response of seabed sediments to geothermal cycles in Suvilahti, Finland," Renewable Energy, Elsevier, vol. 221(C).
    42. Jieran Feng & Hao Zhou, 2022. "Bi-Level Optimal Capacity Planning of Load-Side Electric Energy Storage Using an Emission-Considered Carbon Incentive Mechanism," Energies, MDPI, vol. 15(13), pages 1-18, June.
    43. Wenninger, Simon & Kaymakci, Can & Wiethe, Christian, 2022. "Explainable long-term building energy consumption prediction using QLattice," Applied Energy, Elsevier, vol. 308(C).
    44. Ramón Egea Pérez & Mónica Cortés-Molina & Francisco J. Navarro-González, 2021. "Analysis of Rainfall Time Series with Application to Calculation of Return Periods," Sustainability, MDPI, vol. 13(14), pages 1-18, July.
    45. Golizadeh Akhlaghi, Yousef & Aslansefat, Koorosh & Zhao, Xudong & Sadati, Saba & Badiei, Ali & Xiao, Xin & Shittu, Samson & Fan, Yi & Ma, Xiaoli, 2021. "Hourly performance forecast of a dew point cooler using explainable Artificial Intelligence and evolutionary optimisations by 2050," Applied Energy, Elsevier, vol. 281(C).
    46. Song, Feng & Cui, Jian & Yu, Yihua, 2022. "Dynamic volatility spillover effects between wind and solar power generations: Implications for hedging strategies and a sustainable power sector," Economic Modelling, Elsevier, vol. 116(C).
    47. Golzar, Farzin & Silveira, Semida, 2021. "Impact of wastewater heat recovery in buildings on the performance of centralized energy recovery – A case study of Stockholm," Applied Energy, Elsevier, vol. 297(C).
    48. Kalina, Jacek, 2023. "The quest for game changers - Review of new trends and innovations in the design of large-scale energy systems," Energy, Elsevier, vol. 277(C).
    49. Sam Wilkinson & Michele John & Gregory M. Morrison, 2021. "Rooftop PV and the Renewable Energy Transition; a Review of Driving Forces and Analytical Frameworks," Sustainability, MDPI, vol. 13(10), pages 1-25, May.
    50. Kang, Jia-Ning & Zhang, Yun-Long & Chen, Weiming, 2022. "Delivering negative emissions innovation on the right track: A patent analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 158(C).

  29. Liu, Li-Jing & Creutzig, Felix & Yao, Yun-Fei & Wei, Yi-Ming & Liang, Qiao-Mei, 2020. "Environmental and economic impacts of trade barriers: The example of China–US trade friction," Resource and Energy Economics, Elsevier, vol. 59(C).

    Cited by:

    1. Zhao, Jun & Dong, Kangyin & Dong, Xiucheng & Shahbaz, Muhammad & Kyriakou, Ioannis, 2022. "Is green growth affected by financial risks? New global evidence from asymmetric and heterogeneous analysis," Energy Economics, Elsevier, vol. 113(C).
    2. Mustafa Saber & Gökhan Eğilmez & Ridvan Gedik & Yong Shin Park, 2021. "A Comparative Time-Series Investigation of China and U.S. Manufacturing Industries’ Global Supply-Chain-Linked Economic, Mid and End-Point Environmental Impacts," Sustainability, MDPI, vol. 13(11), pages 1-22, May.
    3. Pan, Yuling & Dong, Feng, 2023. "Green finance policy coupling effect of fossil energy use rights trading and renewable energy certificates trading on low carbon economy: Taking China as an example," Economic Analysis and Policy, Elsevier, vol. 77(C), pages 658-679.
    4. Tang, Qianyong & Li, Huajiao & Qi, Yajie & Li, Yang & Liu, Haiping & Wang, Xingxing, 2023. "The reliability of the trade dependence network in the tungsten industry chain based on percolation," Resources Policy, Elsevier, vol. 82(C).
    5. Mudan Wang & Xianqiang Mao & Youkai Xing & Jianhong Lu & Peng Song & Zhengyan Liu & Zhi Guo & Kevin Tu & Eric Zusman, 2021. "Breaking down barriers on PV trade will facilitate global carbon mitigation," Nature Communications, Nature, vol. 12(1), pages 1-16, December.
    6. Yang, Mian & Wang, En-Ze & Hou, Yaru, 2021. "The relationship between manufacturing growth and CO2 emissions: Does renewable energy consumption matter?," Energy, Elsevier, vol. 232(C).
    7. Chen, Suisui & Zhang, Hongyan & Wang, Shuhong, 2022. "Trade openness, economic growth, and energy intensity in China," Technological Forecasting and Social Change, Elsevier, vol. 179(C).
    8. Jiang, Hong-Dian & Purohit, Pallav & Liang, Qiao-Mei & Dong, Kangyin & Liu, Li-Jing, 2022. "The cost-benefit comparisons of China's and India's NDCs based on carbon marginal abatement cost curves," Energy Economics, Elsevier, vol. 109(C).
    9. Zhuo Chen & Bo Yan, 2022. "The impact of trade policy on soybean futures in China," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 43(4), pages 1152-1163, June.
    10. Hao, Hongchang & Ma, Zhe & Wang, Anjian & Xing, Wanli & Song, Hao & Zhao, Pei & Wei, Jiangqiao & Zheng, Shuxian, 2023. "Modeling and assessing the robustness of the lithium global trade system against cascading failures," Resources Policy, Elsevier, vol. 85(PB).
    11. Wu, Congcong & Gao, Xiangyun & Xi, Xian & Zhao, Yiran & Li, Yu, 2021. "The stability optimization of the international lithium trade," Resources Policy, Elsevier, vol. 74(C).
    12. Jia, Zhijie & Lin, Boqiang & Wen, Shiyan, 2022. "Electricity market Reform: The perspective of price regulation and carbon neutrality," Applied Energy, Elsevier, vol. 328(C).
    13. Mehrab Nodehi & Abbas Assari Arani & Vahid Mohamad Taghvaee, 2022. "Sustainability spillover effects and partnership between East Asia & Pacific versus North America: interactions of social, environment and economy," Letters in Spatial and Resource Sciences, Springer, vol. 15(3), pages 311-339, December.
    14. Ismat Nasim & Mohamed Boukhris & Umar Nawaz Kayani & Farrukh Bashir & Syed Arslan Haider, 2023. "Exploring the Links between Renewable Energy, FDI, Environmental Degradation, and International Trade in Selected Developing Countries," International Journal of Energy Economics and Policy, Econjournals, vol. 13(6), pages 418-429, November.
    15. Jiang, Hong-Dian & Hao, Wen-Ting & Xu, Qing-Yang & Liang, Qiao-Mei, 2020. "Socio-economic and environmental impacts of the iron ore resource tax reform in China: A CGE-based analysis," Resources Policy, Elsevier, vol. 68(C).
    16. Lee, Chien-Chiang & He, Zhi-Wen & Yuan, Zihao, 2023. "A pathway to sustainable development: Digitization and green productivity," Energy Economics, Elsevier, vol. 124(C).

  30. Zhang, Mingyang & Zhang, Kaiwen & Hu, Wuyang & Zhu, Bangzhu & Wang, Ping & Wei, Yi-Ming, 2020. "Exploring the climatic impacts on residential electricity consumption in Jiangsu, China," Energy Policy, Elsevier, vol. 140(C).

    Cited by:

    1. Inoussa Laouali & Antonio Ruano & Maria da Graça Ruano & Saad Dosse Bennani & Hakim El Fadili, 2022. "Non-Intrusive Load Monitoring of Household Devices Using a Hybrid Deep Learning Model through Convex Hull-Based Data Selection," Energies, MDPI, vol. 15(3), pages 1-22, February.
    2. Qiangyi Li & Lan Yang & Shuang Huang & Yangqing Liu & Chenyang Guo, 2023. "The Effects of Urban Sprawl on Electricity Consumption: Empirical Evidence from 283 Prefecture-Level Cities in China," Land, MDPI, vol. 12(8), pages 1-27, August.
    3. Miaomiao Niu & Guohao Li, 2022. "The Impact of Climate Change Risks on Residential Consumption in China: Evidence from ARMAX Modeling and Granger Causality Analysis," IJERPH, MDPI, vol. 19(19), pages 1-15, September.
    4. Zhang, Shaohui & Guo, Qinxin & Smyth, Russell & Yao, Yao, 2022. "Extreme temperatures and residential electricity consumption: Evidence from Chinese households," Energy Economics, Elsevier, vol. 107(C).
    5. Wang, Yuanping & Hou, Lingchun & Cai, Weiguang & Zhou, Zhaoyin & Bian, Jing, 2023. "Exploring the drivers and influencing mechanisms of urban household electricity consumption in China - Based on longitudinal data at the provincial level," Energy, Elsevier, vol. 273(C).
    6. Lanlan Li & Xinpei Song & Jingjing Li & Ke Li & Jianling Jiao, 2023. "The impacts of temperature on residential electricity consumption in Anhui, China: does the electricity price matter?," Climatic Change, Springer, vol. 176(3), pages 1-26, March.
    7. Yabin Da & Bin Zeng & Jing-Li Fan & Jiawei Hu & Lanlan Li, 2023. "Heterogeneous responses to climate: evidence from residential electricity consumption," Climatic Change, Springer, vol. 176(8), pages 1-19, August.
    8. Cuihui Xia & Tandong Yao & Weicai Wang & Wentao Hu, 2022. "Effect of Climate on Residential Electricity Consumption: A Data-Driven Approach," Energies, MDPI, vol. 15(9), pages 1-20, May.
    9. Esmaeili, Parisa & Rafei, Meysam, 2021. "Dynamics analysis of factors affecting electricity consumption fluctuations based on economic conditions: Application of SVAR and TVP-VAR models," Energy, Elsevier, vol. 226(C).
    10. Salem, Mohammed Z. & Ertz, Myriam & Sarigӧllü, Emine, 2021. "Demarketing strategies to rationalize electricity consumption in the Gaza Strip-Palestine," Renewable and Sustainable Energy Reviews, Elsevier, vol. 143(C).
    11. Liu, Xiaorui & Guo, Wen & Feng, Qiang & Wang, Peng, 2022. "Spatial correlation, driving factors and dynamic spatial spillover of electricity consumption in China: A perspective on industry heterogeneity," Energy, Elsevier, vol. 257(C).
    12. Zhuohang Li & Tao Shen & Yifen Yin & Hsing Hung Chen, 2022. "Innovation Input, Climate Change, and Energy-Environment-Growth Nexus: Evidence from OECD and Non-OECD Countries," Energies, MDPI, vol. 15(23), pages 1-19, November.
    13. Wang, Wei & Xiao, Weiwei & Bai, Caiquan, 2022. "Can renewable energy technology innovation alleviate energy poverty? Perspective from the marketization level," Technology in Society, Elsevier, vol. 68(C).
    14. Wang, Jiaxin & Lu, Feng, 2021. "Modeling the electricity consumption by combining land use types and landscape patterns with nighttime light imagery," Energy, Elsevier, vol. 234(C).
    15. Kamal Chapagain & Somsak Kittipiyakul & Pisut Kulthanavit, 2020. "Short-Term Electricity Demand Forecasting: Impact Analysis of Temperature for Thailand," Energies, MDPI, vol. 13(10), pages 1-29, May.
    16. Yi Chen & Yinrong Chen & Kun Chen & Min Liu, 2023. "Research Progress and Hotspot Analysis of Residential Carbon Emissions Based on CiteSpace Software," IJERPH, MDPI, vol. 20(3), pages 1-19, January.

  31. Kun Zhang & Qiao-Mei Liang & Li-Jing Liu & Mei-Mei Xue & Bi-Ying Yu & Ce Wang & Rong Han & Yun-Fei Du & Yun-Fei Yao & Jun-Jie Chang & Jinxiao Tan & Hua Liao & Yi-Ming Wei, 2020. "Impacts Of Mechanisms To Promote Participation In Climate Mitigation: Border Carbon Adjustments Versus Uniform Tariff Measures," Climate Change Economics (CCE), World Scientific Publishing Co. Pte. Ltd., vol. 11(03), pages 1-26, August.

    Cited by:

    1. Jiang, Hong-Dian & Purohit, Pallav & Liang, Qiao-Mei & Dong, Kangyin & Liu, Li-Jing, 2022. "The cost-benefit comparisons of China's and India's NDCs based on carbon marginal abatement cost curves," Energy Economics, Elsevier, vol. 109(C).
    2. Banerjee, Suvajit, 2021. "Conjugation of border and domestic carbon adjustment and implications under production and consumption-based accounting of India's National Emission Inventory: A recursive dynamic CGE analysis," Structural Change and Economic Dynamics, Elsevier, vol. 57(C), pages 68-86.

  32. Hao, Yu & Chen, Yu-Fu & Liao, Hua & Wei, Yi-Ming, 2020. "China's fiscal decentralization and environmental quality: theory and an empirical study," Environment and Development Economics, Cambridge University Press, vol. 25(2), pages 159-181, April.

    Cited by:

    1. Wanfang Xiong & Yan Han & M. James C. Crabbe & Xiao-Guang Yue, 2020. "Fiscal Expenditures on Science and Technology and Environmental Pollution: Evidence from China," IJERPH, MDPI, vol. 17(23), pages 1-20, November.
    2. Zhou, Shiyu & Luo, Weijie, 2024. "Pollution consequences of vertical fiscal imbalance: Evidence from China," International Review of Economics & Finance, Elsevier, vol. 92(C), pages 85-97.
    3. Hao, Yu & Zhang, Zong-Yong & Yang, Chuxiao & Wu, Haitao, 2021. "Does structural labor change affect CO2 emissions? Theoretical and empirical evidence from China," Technological Forecasting and Social Change, Elsevier, vol. 171(C).
    4. Sun, Yunpeng & Gao, Pengpeng & Razzaq, Asif, 2023. "How does fiscal decentralization lead to renewable energy transition and a sustainable environment? Evidence from highly decentralized economies," Renewable Energy, Elsevier, vol. 206(C), pages 1064-1074.
    5. Sun, Jiaqi & Li, Ping & Wang, Yunqiao, 2024. "Policy tools for sustainability: Evaluating the effectiveness of fiscal measures in natural resource efficiency," Resources Policy, Elsevier, vol. 89(C).
    6. Wenke Wang & Xiaoqiong You & Kebei Liu & Yenchun Jim Wu & Daming You, 2020. "Implementation of a Multi-Agent Carbon Emission Reduction Strategy under the Chinese Dual Governance System: An Evolutionary Game Theoretical Approach," IJERPH, MDPI, vol. 17(22), pages 1-21, November.
    7. Shi Chen & Xun Liu & Chong Lu, 2022. "Fiscal Decentralization, Local Government Behavior, and Macroeconomic Effects of Environmental Policy," Sustainability, MDPI, vol. 14(17), pages 1-18, September.
    8. Jian, Peng & Zhengjie, Sun, 2024. "Navigating the green future: Unraveling the role of fintech, decentralization, natural resources, and monetary policy uncertainty in China," Resources Policy, Elsevier, vol. 89(C).
    9. Ayoub Zeraibi & Daniel Balsalobre-Lorente & Khurram Shehzad, 2021. "Testing the Environmental Kuznets Curve Hypotheses in Chinese Provinces: A Nexus between Regional Government Expenditures and Environmental Quality," IJERPH, MDPI, vol. 18(18), pages 1-16, September.
    10. Yuchen Song & Jingshu Ma & Shuai Guan & Yongfu Liu, 2022. "Fiscal Decentralization, Regional Innovation and Industrial Structure Distortions in China," Sustainability, MDPI, vol. 15(1), pages 1-17, December.
    11. Zhang, Cuifang & Xiang, Xiandeng, 2023. "Fiscal decentralization, environmental policy stringency, and resource sustainability: Panacea or Pandora's box in high resource consuming countries," Resources Policy, Elsevier, vol. 83(C).
    12. Umar, Muhammad & Ji, Xiangfeng & Safi, Adnan & Afshan, Sahar, 2024. "Decentralization, institutional quality, and carbon neutrality: Unraveling the nexus in China's pursuit of sustainable development," Economic Analysis and Policy, Elsevier, vol. 82(C), pages 1238-1249.
    13. Shan, Shan & Ahmad, Munir & Tan, Zhixiong & Adebayo, Tomiwa Sunday & Man Li, Rita Yi & Kirikkaleli, Dervis, 2021. "The role of energy prices and non-linear fiscal decentralization in limiting carbon emissions: Tracking environmental sustainability," Energy, Elsevier, vol. 234(C).
    14. Xi Wu & Yajuan Wang & Hongbo Zhu, 2022. "Does Economic Growth Lead to an Increase in Cultivated Land Pressure? Evidence from China," Land, MDPI, vol. 11(9), pages 1-19, September.
    15. Maxwell Chukwudi Udeagha & Edwin Muchapondwa, 2023. "Environmental sustainability in South Africa: Understanding the criticality of economic policy uncertainty, fiscal decentralization, and green innovation," Sustainable Development, John Wiley & Sons, Ltd., vol. 31(3), pages 1638-1651, June.
    16. Meng Lingyan & Ze Zhao & Haider Ali Malik & Asif Razzaq & Hui An & Marria Hassan, 2022. "Asymmetric impact of fiscal decentralization and environmental innovation on carbon emissions: Evidence from highly decentralized countries," Energy & Environment, , vol. 33(4), pages 752-782, June.
    17. Khan, Zeeshan & Ali, Shahid & Dong, Kangyin & Li, Rita Yi Man, 2021. "How does fiscal decentralization affect CO2 emissions? The roles of institutions and human capital," Energy Economics, Elsevier, vol. 94(C).
    18. Shahbaz, Muhammad & Abbas Rizvi, Syed Kumail & Dong, Kangyin & Vo, Xuan Vinh, 2022. "Fiscal decentralization as new determinant of renewable energy demand in China: The role of income inequality and urbanization," Renewable Energy, Elsevier, vol. 187(C), pages 68-80.
    19. Jiang, Weijie & Li, Yidong, 2023. "Effect of fiscal decentralization on pollution reduction: Firm-level evidence from China," Economic Modelling, Elsevier, vol. 129(C).

  33. Zhang, Jinliang & Tan, Zhongfu & Wei, Yiming, 2020. "An adaptive hybrid model for short term electricity price forecasting," Applied Energy, Elsevier, vol. 258(C).

    Cited by:

    1. Lu, Xin & Qiu, Jing & Lei, Gang & Zhu, Jianguo, 2022. "Scenarios modelling for forecasting day-ahead electricity prices: Case studies in Australia," Applied Energy, Elsevier, vol. 308(C).
    2. He, Xinbo & Wang, Yong & Zhang, Yuyang & Ma, Xin & Wu, Wenqing & Zhang, Lei, 2022. "A novel structure adaptive new information priority discrete grey prediction model and its application in renewable energy generation forecasting," Applied Energy, Elsevier, vol. 325(C).
    3. Meng, Anbo & Wang, Peng & Zhai, Guangsong & Zeng, Cong & Chen, Shun & Yang, Xiaoyi & Yin, Hao, 2022. "Electricity price forecasting with high penetration of renewable energy using attention-based LSTM network trained by crisscross optimization," Energy, Elsevier, vol. 254(PA).
    4. Chengqing, Yu & Guangxi, Yan & Chengming, Yu & Yu, Zhang & Xiwei, Mi, 2023. "A multi-factor driven spatiotemporal wind power prediction model based on ensemble deep graph attention reinforcement learning networks," Energy, Elsevier, vol. 263(PE).
    5. Xiong, Xiaoping & Qing, Guohua, 2023. "A hybrid day-ahead electricity price forecasting framework based on time series," Energy, Elsevier, vol. 264(C).
    6. Yin, Linfei & Qiu, Yao, 2022. "Neural network dynamic differential control for long-term price guidance mechanism of flexible energy service providers," Energy, Elsevier, vol. 255(C).
    7. Matheus Henrique Dal Molin Ribeiro & Stéfano Frizzo Stefenon & José Donizetti de Lima & Ademir Nied & Viviana Cocco Mariani & Leandro dos Santos Coelho, 2020. "Electricity Price Forecasting Based on Self-Adaptive Decomposition and Heterogeneous Ensemble Learning," Energies, MDPI, vol. 13(19), pages 1-22, October.
    8. He Jiang & Yao Dong & Jianzhou Wang, 2024. "Electricity price forecasting using quantile regression averaging with nonconvex regularization," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 43(6), pages 1859-1879, September.
    9. Laiqing Yan & Zutai Yan & Zhenwen Li & Ning Ma & Ran Li & Jian Qin, 2023. "Electricity Market Price Prediction Based on Quadratic Hybrid Decomposition and THPO Algorithm," Energies, MDPI, vol. 16(13), pages 1-18, July.
    10. Heydari, Azim & Majidi Nezhad, Meysam & Pirshayan, Elmira & Astiaso Garcia, Davide & Keynia, Farshid & De Santoli, Livio, 2020. "Short-term electricity price and load forecasting in isolated power grids based on composite neural network and gravitational search optimization algorithm," Applied Energy, Elsevier, vol. 277(C).
    11. Daniel Manfre Jaimes & Manuel Zamudio López & Hamidreza Zareipour & Mike Quashie, 2023. "A Hybrid Model for Multi-Day-Ahead Electricity Price Forecasting considering Price Spikes," Forecasting, MDPI, vol. 5(3), pages 1-23, July.
    12. Sergio Cantillo-Luna & Ricardo Moreno-Chuquen & Jesus Lopez-Sotelo & David Celeita, 2023. "An Intra-Day Electricity Price Forecasting Based on a Probabilistic Transformer Neural Network Architecture," Energies, MDPI, vol. 16(19), pages 1-24, September.
    13. Wu, Binrong & Wang, Lin & Zeng, Yu-Rong, 2022. "Interpretable wind speed prediction with multivariate time series and temporal fusion transformers," Energy, Elsevier, vol. 252(C).
    14. Lu Peng & Sheng‐Xiang Lv & Lin Wang, 2024. "Explainable machine learning techniques based on attention gate recurrent unit and local interpretable model‐agnostic explanations for multivariate wind speed forecasting," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 43(6), pages 2064-2087, September.
    15. Mira Watermeyer & Thomas Mobius & Oliver Grothe & Felix Musgens, 2023. "A hybrid model for day-ahead electricity price forecasting: Combining fundamental and stochastic modelling," Papers 2304.09336, arXiv.org.
    16. Chai, Shanglei & Li, Qiang & Abedin, Mohammad Zoynul & Lucey, Brian M., 2024. "Forecasting electricity prices from the state-of-the-art modeling technology and the price determinant perspectives," Research in International Business and Finance, Elsevier, vol. 67(PA).
    17. Acikgoz, Hakan & Budak, Umit & Korkmaz, Deniz & Yildiz, Ceyhun, 2021. "WSFNet: An efficient wind speed forecasting model using channel attention-based densely connected convolutional neural network," Energy, Elsevier, vol. 233(C).
    18. Jialin Liu & Chen Gong & Suhua Chen & Nanrun Zhou, 2023. "Multi-Step-Ahead Wind Speed Forecast Method Based on Outlier Correction, Optimized Decomposition, and DLinear Model," Mathematics, MDPI, vol. 11(12), pages 1-26, June.
    19. Li, Dan & Jiang, Fuxin & Chen, Min & Qian, Tao, 2022. "Multi-step-ahead wind speed forecasting based on a hybrid decomposition method and temporal convolutional networks," Energy, Elsevier, vol. 238(PC).
    20. Jiang, Ping & Liu, Zhenkun & Niu, Xinsong & Zhang, Lifang, 2021. "A combined forecasting system based on statistical method, artificial neural networks, and deep learning methods for short-term wind speed forecasting," Energy, Elsevier, vol. 217(C).
    21. Wen, Shizhao & Wang, Hongzeng & Qian, Jinhua & Men, Xuanyu, 2023. "A novel combined model based on echo state network optimized by whale optimization algorithm for blast furnace gas prediction," Energy, Elsevier, vol. 279(C).
    22. Liu, Luyao & Bai, Feifei & Su, Chenyu & Ma, Cuiping & Yan, Ruifeng & Li, Hailong & Sun, Qie & Wennersten, Ronald, 2022. "Forecasting the occurrence of extreme electricity prices using a multivariate logistic regression model," Energy, Elsevier, vol. 247(C).
    23. Krishna Prakash N. & Jai Govind Singh, 2023. "Electricity price forecasting using hybrid deep learned networks," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(7), pages 1750-1771, November.
    24. Lu, Renzhi & Bai, Ruichang & Ding, Yuemin & Wei, Min & Jiang, Junhui & Sun, Mingyang & Xiao, Feng & Zhang, Hai-Tao, 2021. "A hybrid deep learning-based online energy management scheme for industrial microgrid," Applied Energy, Elsevier, vol. 304(C).
    25. Wang, Xuguang & Ren, Huan & Zhai, Junhai & Xing, Hongjie & Su, Jie, 2022. "Adaptive support segment based short-term wind speed forecasting," Energy, Elsevier, vol. 249(C).
    26. Garcia, Alexandre Schwinden & Alves, Frederick Fagundes & Pimentel Filgueiras, João Marcello, 2024. "Tariff flags and electricity consumption response in Brazil," Utilities Policy, Elsevier, vol. 88(C).
    27. Hong, Ying-Yi & Satriani, Thursy Rienda Aulia, 2020. "Day-ahead spatiotemporal wind speed forecasting using robust design-based deep learning neural network," Energy, Elsevier, vol. 209(C).
    28. Stefano Frizzo Stefenon & Laio Oriel Seman & Viviana Cocco Mariani & Leandro dos Santos Coelho, 2023. "Aggregating Prophet and Seasonal Trend Decomposition for Time Series Forecasting of Italian Electricity Spot Prices," Energies, MDPI, vol. 16(3), pages 1-18, January.
    29. Zheng, Jingwei & Wang, Jianzhou, 2024. "Short-term wind speed forecasting based on recurrent neural networks and Levy crystal structure algorithm," Energy, Elsevier, vol. 293(C).
    30. Zhou, Yilin & Wang, Jianzhou & Lu, Haiyan & Zhao, Weigang, 2022. "Short-term wind power prediction optimized by multi-objective dragonfly algorithm based on variational mode decomposition," Chaos, Solitons & Fractals, Elsevier, vol. 157(C).
    31. Nie, Ying & Li, Ping & Wang, Jianzhou & Zhang, Lifang, 2024. "A novel multivariate electrical price bi-forecasting system based on deep learning, a multi-input multi-output structure and an operator combination mechanism," Applied Energy, Elsevier, vol. 366(C).
    32. Heidarpanah, Mohammadreza & Hooshyaripor, Farhad & Fazeli, Meysam, 2023. "Daily electricity price forecasting using artificial intelligence models in the Iranian electricity market," Energy, Elsevier, vol. 263(PE).
    33. Wang, Xuguang & Li, Xiao & Su, Jie, 2023. "Distribution drift-adaptive short-term wind speed forecasting," Energy, Elsevier, vol. 273(C).
    34. Yang, Rui & Liu, Hui & Nikitas, Nikolaos & Duan, Zhu & Li, Yanfei & Li, Ye, 2022. "Short-term wind speed forecasting using deep reinforcement learning with improved multiple error correction approach," Energy, Elsevier, vol. 239(PB).
    35. Li, Yanting & Wu, Zhenyu & Su, Yan, 2023. "Adaptive short-term wind power forecasting with concept drifts," Renewable Energy, Elsevier, vol. 217(C).
    36. Li, Yanhui & Sun, Kaixuan & Yao, Qi & Wang, Lin, 2024. "A dual-optimization wind speed forecasting model based on deep learning and improved dung beetle optimization algorithm," Energy, Elsevier, vol. 286(C).
    37. AL-Alimi, Dalal & AlRassas, Ayman Mutahar & Al-qaness, Mohammed A.A. & Cai, Zhihua & Aseeri, Ahmad O. & Abd Elaziz, Mohamed & Ewees, Ahmed A., 2023. "TLIA: Time-series forecasting model using long short-term memory integrated with artificial neural networks for volatile energy markets," Applied Energy, Elsevier, vol. 343(C).
    38. Shao, Zhen & Yang, Yudie & Zheng, Qingru & Zhou, Kaile & Liu, Chen & Yang, Shanlin, 2022. "A pattern classification methodology for interval forecasts of short-term electricity prices based on hybrid deep neural networks: A comparative analysis," Applied Energy, Elsevier, vol. 327(C).
    39. Hasnain Iftikhar & Josue E. Turpo-Chaparro & Paulo Canas Rodrigues & Javier Linkolk López-Gonzales, 2023. "Forecasting Day-Ahead Electricity Prices for the Italian Electricity Market Using a New Decomposition—Combination Technique," Energies, MDPI, vol. 16(18), pages 1-23, September.
    40. Zhao, Xinyu & Bai, Mingliang & Yang, Xusheng & Liu, Jinfu & Yu, Daren & Chang, Juntao, 2021. "Short-term probabilistic predictions of wind multi-parameter based on one-dimensional convolutional neural network with attention mechanism and multivariate copula distribution estimation," Energy, Elsevier, vol. 234(C).
    41. Tahmasebifar, Reza & Moghaddam, Mohsen Parsa & Sheikh-El-Eslami, Mohammad Kazem & Kheirollahi, Reza, 2020. "A new hybrid model for point and probabilistic forecasting of wind power," Energy, Elsevier, vol. 211(C).
    42. Wu, Zheng & Zhang, Yue & Dong, Ze, 2023. "Prediction of NOx emission concentration from coal-fired power plant based on joint knowledge and data driven," Energy, Elsevier, vol. 271(C).
    43. Li, Jinchao & Wu, Qianqian & Tian, Yu & Fan, Liguo, 2021. "Monthly Henry Hub natural gas spot prices forecasting using variational mode decomposition and deep belief network," Energy, Elsevier, vol. 227(C).
    44. Dorel Mihai Paraschiv & Narciz Balasoiu & Souhir Ben-Amor & Raul Cristian Bag, 2023. "Hybridising Neurofuzzy Model the Seasonal Autoregressive Models for Electricity Price Forecasting on Germany’s Spot Market," The AMFITEATRU ECONOMIC journal, Academy of Economic Studies - Bucharest, Romania, vol. 25(63), pages 463-463, April.
    45. Lu, Renzhi & Bai, Ruichang & Huang, Yuan & Li, Yuting & Jiang, Junhui & Ding, Yuemin, 2021. "Data-driven real-time price-based demand response for industrial facilities energy management," Applied Energy, Elsevier, vol. 283(C).
    46. Feng, Lingbing & Qi, Jiajun & Lucey, Brian, 2024. "Enhancing cryptocurrency market volatility forecasting with daily dynamic tuning strategy," International Review of Financial Analysis, Elsevier, vol. 94(C).
    47. Karol Pilot & Alicja Ganczarek-Gamrot & Krzysztof Kania, 2024. "Dealing with Anomalies in Day-Ahead Market Prediction Using Machine Learning Hybrid Model," Energies, MDPI, vol. 17(17), pages 1-20, September.
    48. Demir, Sumeyra & Mincev, Krystof & Kok, Koen & Paterakis, Nikolaos G., 2021. "Data augmentation for time series regression: Applying transformations, autoencoders and adversarial networks to electricity price forecasting," Applied Energy, Elsevier, vol. 304(C).
    49. Ghimire, Sujan & Deo, Ravinesh C. & Casillas-Pérez, David & Salcedo-Sanz, Sancho, 2024. "Two-step deep learning framework with error compensation technique for short-term, half-hourly electricity price forecasting," Applied Energy, Elsevier, vol. 353(PA).
    50. Yang, Wendong & Sun, Shaolong & Hao, Yan & Wang, Shouyang, 2022. "A novel machine learning-based electricity price forecasting model based on optimal model selection strategy," Energy, Elsevier, vol. 238(PC).
    51. Hua Luo & Yuanyuan Shao, 2024. "Advanced Optimal System for Electricity Price Forecasting Based on Hybrid Techniques," Energies, MDPI, vol. 17(19), pages 1-27, September.
    52. Elmore, Clay T. & Dowling, Alexander W., 2021. "Learning spatiotemporal dynamics in wholesale energy markets with dynamic mode decomposition," Energy, Elsevier, vol. 232(C).
    53. Micha{l} Narajewski & Florian Ziel, 2020. "Ensemble Forecasting for Intraday Electricity Prices: Simulating Trajectories," Papers 2005.01365, arXiv.org, revised Aug 2020.
    54. Yin, Wanjun & Ji, Jianbo & Wen, Tao & Zhang, Chao, 2023. "Study on orderly charging strategy of EV with load forecasting," Energy, Elsevier, vol. 278(C).
    55. Grzegorz Marcjasz, 2020. "Forecasting Electricity Prices Using Deep Neural Networks: A Robust Hyper-Parameter Selection Scheme," Energies, MDPI, vol. 13(18), pages 1-18, September.
    56. Yang, Weifei & Xiao, Changlai & Zhang, Zhihao & Liang, Xiujuan, 2022. "Identification of the formation temperature field of the southern Songliao Basin, China based on a deep belief network," Renewable Energy, Elsevier, vol. 182(C), pages 32-42.
    57. Bilgi Yilmaz & Christian Laudagé & Ralf Korn & Sascha Desmettre, 2024. "Electricity GANs: Generative Adversarial Networks for Electricity Price Scenario Generation," Commodities, MDPI, vol. 3(3), pages 1-27, July.
    58. Banaś, Jan & Utnik-Banaś, Katarzyna, 2021. "Evaluating a seasonal autoregressive moving average model with an exogenous variable for short-term timber price forecasting," Forest Policy and Economics, Elsevier, vol. 131(C).
    59. Fang Guo & Shangyun Deng & Weijia Zheng & An Wen & Jinfeng Du & Guangshan Huang & Ruiyang Wang, 2022. "Short-Term Electricity Price Forecasting Based on the Two-Layer VMD Decomposition Technique and SSA-LSTM," Energies, MDPI, vol. 15(22), pages 1-20, November.
    60. Tang, Qinghu & Guo, Hongye & Zheng, Kedi & Chen, Qixin, 2024. "Forecasting individual bids in real electricity markets through machine learning framework," Applied Energy, Elsevier, vol. 363(C).
    61. Monjazeb, Mohammad Reza & Amiri, Hossein & Movahedi, Akram, 2024. "Wholesale electricity price forecasting by Quantile Regression and Kalman Filter method," Energy, Elsevier, vol. 290(C).
    62. Jiang, Ping & Liu, Zhenkun & Wang, Jianzhou & Zhang, Lifang, 2021. "Decomposition-selection-ensemble forecasting system for energy futures price forecasting based on multi-objective version of chaos game optimization algorithm," Resources Policy, Elsevier, vol. 73(C).
    63. Ershen Wang & Caimiao Sun & Chuanyun Wang & Pingping Qu & Yufeng Huang & Tao Pang, 2021. "A satellite selection algorithm based on adaptive simulated annealing particle swarm optimization for the BeiDou Navigation Satellite System/Global Positioning System receiver," International Journal of Distributed Sensor Networks, , vol. 17(7), pages 15501477211, July.
    64. Singh, Priyanka & Kottath, Rahul, 2022. "Influencer-defaulter mutation-based optimization algorithms for predicting electricity prices," Utilities Policy, Elsevier, vol. 79(C).
    65. Narajewski, Michał & Ziel, Florian, 2020. "Ensemble forecasting for intraday electricity prices: Simulating trajectories," Applied Energy, Elsevier, vol. 279(C).

  34. Hao, Yu & Chen, Yu-Fu & Liao, Hua & Wei, Yi-Ming, 2020. "China's fiscal decentralization and environmental quality: theory and an empirical study – Erratum," Environment and Development Economics, Cambridge University Press, vol. 25(2), pages 204-204, April.

    Cited by:

    1. Zhou, Shiyu & Luo, Weijie, 2024. "Pollution consequences of vertical fiscal imbalance: Evidence from China," International Review of Economics & Finance, Elsevier, vol. 92(C), pages 85-97.
    2. Hao, Yu & Zhang, Zong-Yong & Yang, Chuxiao & Wu, Haitao, 2021. "Does structural labor change affect CO2 emissions? Theoretical and empirical evidence from China," Technological Forecasting and Social Change, Elsevier, vol. 171(C).
    3. Sun, Yunpeng & Gao, Pengpeng & Razzaq, Asif, 2023. "How does fiscal decentralization lead to renewable energy transition and a sustainable environment? Evidence from highly decentralized economies," Renewable Energy, Elsevier, vol. 206(C), pages 1064-1074.
    4. Sun, Jiaqi & Li, Ping & Wang, Yunqiao, 2024. "Policy tools for sustainability: Evaluating the effectiveness of fiscal measures in natural resource efficiency," Resources Policy, Elsevier, vol. 89(C).
    5. Shi Chen & Xun Liu & Chong Lu, 2022. "Fiscal Decentralization, Local Government Behavior, and Macroeconomic Effects of Environmental Policy," Sustainability, MDPI, vol. 14(17), pages 1-18, September.
    6. Jian, Peng & Zhengjie, Sun, 2024. "Navigating the green future: Unraveling the role of fintech, decentralization, natural resources, and monetary policy uncertainty in China," Resources Policy, Elsevier, vol. 89(C).
    7. Yuchen Song & Jingshu Ma & Shuai Guan & Yongfu Liu, 2022. "Fiscal Decentralization, Regional Innovation and Industrial Structure Distortions in China," Sustainability, MDPI, vol. 15(1), pages 1-17, December.
    8. Zhang, Cuifang & Xiang, Xiandeng, 2023. "Fiscal decentralization, environmental policy stringency, and resource sustainability: Panacea or Pandora's box in high resource consuming countries," Resources Policy, Elsevier, vol. 83(C).
    9. Umar, Muhammad & Ji, Xiangfeng & Safi, Adnan & Afshan, Sahar, 2024. "Decentralization, institutional quality, and carbon neutrality: Unraveling the nexus in China's pursuit of sustainable development," Economic Analysis and Policy, Elsevier, vol. 82(C), pages 1238-1249.
    10. Shan, Shan & Ahmad, Munir & Tan, Zhixiong & Adebayo, Tomiwa Sunday & Man Li, Rita Yi & Kirikkaleli, Dervis, 2021. "The role of energy prices and non-linear fiscal decentralization in limiting carbon emissions: Tracking environmental sustainability," Energy, Elsevier, vol. 234(C).
    11. Maxwell Chukwudi Udeagha & Edwin Muchapondwa, 2023. "Environmental sustainability in South Africa: Understanding the criticality of economic policy uncertainty, fiscal decentralization, and green innovation," Sustainable Development, John Wiley & Sons, Ltd., vol. 31(3), pages 1638-1651, June.
    12. Meng Lingyan & Ze Zhao & Haider Ali Malik & Asif Razzaq & Hui An & Marria Hassan, 2022. "Asymmetric impact of fiscal decentralization and environmental innovation on carbon emissions: Evidence from highly decentralized countries," Energy & Environment, , vol. 33(4), pages 752-782, June.
    13. Shahbaz, Muhammad & Abbas Rizvi, Syed Kumail & Dong, Kangyin & Vo, Xuan Vinh, 2022. "Fiscal decentralization as new determinant of renewable energy demand in China: The role of income inequality and urbanization," Renewable Energy, Elsevier, vol. 187(C), pages 68-80.
    14. Jiang, Weijie & Li, Yidong, 2023. "Effect of fiscal decentralization on pollution reduction: Firm-level evidence from China," Economic Modelling, Elsevier, vol. 129(C).

  35. Chen, Hao & Geng, Hao-Peng & Ling, Hui-Ting & Peng, Song & Li, Nan & Yu, Shiwei & Wei, Yi-Ming, 2020. "Modeling the coal-to-gas switch potentials in the power sector: A case study of China," Energy, Elsevier, vol. 192(C).

    Cited by:

    1. Zhao, Jingyu & Wang, Tao & Deng, Jun & Shu, Chi-Min & Zeng, Qiang & Guo, Tao & Zhang, Yuxuan, 2020. "Microcharacteristic analysis of CH4 emissions under different conditions during coal spontaneous combustion with high-temperature oxidation and in situ FTIR," Energy, Elsevier, vol. 209(C).

  36. Zhang, Jinliang & Wei, Yiming & Tan, Zhongfu, 2020. "An adaptive hybrid model for short term wind speed forecasting," Energy, Elsevier, vol. 190(C).

    Cited by:

    1. Lu, Xin & Qiu, Jing & Lei, Gang & Zhu, Jianguo, 2022. "Scenarios modelling for forecasting day-ahead electricity prices: Case studies in Australia," Applied Energy, Elsevier, vol. 308(C).
    2. Meng, Anbo & Wang, Peng & Zhai, Guangsong & Zeng, Cong & Chen, Shun & Yang, Xiaoyi & Yin, Hao, 2022. "Electricity price forecasting with high penetration of renewable energy using attention-based LSTM network trained by crisscross optimization," Energy, Elsevier, vol. 254(PA).
    3. Chengqing, Yu & Guangxi, Yan & Chengming, Yu & Yu, Zhang & Xiwei, Mi, 2023. "A multi-factor driven spatiotemporal wind power prediction model based on ensemble deep graph attention reinforcement learning networks," Energy, Elsevier, vol. 263(PE).
    4. Yin, Linfei & Qiu, Yao, 2022. "Neural network dynamic differential control for long-term price guidance mechanism of flexible energy service providers," Energy, Elsevier, vol. 255(C).
    5. Matheus Henrique Dal Molin Ribeiro & Stéfano Frizzo Stefenon & José Donizetti de Lima & Ademir Nied & Viviana Cocco Mariani & Leandro dos Santos Coelho, 2020. "Electricity Price Forecasting Based on Self-Adaptive Decomposition and Heterogeneous Ensemble Learning," Energies, MDPI, vol. 13(19), pages 1-22, October.
    6. Laiqing Yan & Zutai Yan & Zhenwen Li & Ning Ma & Ran Li & Jian Qin, 2023. "Electricity Market Price Prediction Based on Quadratic Hybrid Decomposition and THPO Algorithm," Energies, MDPI, vol. 16(13), pages 1-18, July.
    7. Heydari, Azim & Majidi Nezhad, Meysam & Pirshayan, Elmira & Astiaso Garcia, Davide & Keynia, Farshid & De Santoli, Livio, 2020. "Short-term electricity price and load forecasting in isolated power grids based on composite neural network and gravitational search optimization algorithm," Applied Energy, Elsevier, vol. 277(C).
    8. Liu, Hui & Yang, Rui & Wang, Tiantian & Zhang, Lei, 2021. "A hybrid neural network model for short-term wind speed forecasting based on decomposition, multi-learner ensemble, and adaptive multiple error corrections," Renewable Energy, Elsevier, vol. 165(P1), pages 573-594.
    9. Wu, Binrong & Wang, Lin & Zeng, Yu-Rong, 2022. "Interpretable wind speed prediction with multivariate time series and temporal fusion transformers," Energy, Elsevier, vol. 252(C).
    10. Wang, Jianzhou & Wang, Shuai & Li, Zhiwu, 2021. "Wind speed deterministic forecasting and probabilistic interval forecasting approach based on deep learning, modified tunicate swarm algorithm, and quantile regression," Renewable Energy, Elsevier, vol. 179(C), pages 1246-1261.
    11. Tian, Zhongda & Chen, Hao, 2021. "Multi-step short-term wind speed prediction based on integrated multi-model fusion," Applied Energy, Elsevier, vol. 298(C).
    12. Jafarzadeh Ghoushchi, Saeid & Manjili, Sobhan & Mardani, Abbas & Saraji, Mahyar Kamali, 2021. "An extended new approach for forecasting short-term wind power using modified fuzzy wavelet neural network: A case study in wind power plant," Energy, Elsevier, vol. 223(C).
    13. Acikgoz, Hakan & Budak, Umit & Korkmaz, Deniz & Yildiz, Ceyhun, 2021. "WSFNet: An efficient wind speed forecasting model using channel attention-based densely connected convolutional neural network," Energy, Elsevier, vol. 233(C).
    14. Jialin Liu & Chen Gong & Suhua Chen & Nanrun Zhou, 2023. "Multi-Step-Ahead Wind Speed Forecast Method Based on Outlier Correction, Optimized Decomposition, and DLinear Model," Mathematics, MDPI, vol. 11(12), pages 1-26, June.
    15. Meng, Anbo & Xie, Zhifeng & Luo, Jianqiang & Zeng, Ying & Xu, Xuancong & Li, Yidian & Wu, Zhenbo & Zhang, Zhan & Zhu, Jianbin & Xian, Zikang & Li, Chen & Yan, Baiping & Yin, Hao, 2023. "An adaptive variational mode decomposition for wind power prediction using convolutional block attention deep learning network," Energy, Elsevier, vol. 282(C).
    16. Li, Dan & Jiang, Fuxin & Chen, Min & Qian, Tao, 2022. "Multi-step-ahead wind speed forecasting based on a hybrid decomposition method and temporal convolutional networks," Energy, Elsevier, vol. 238(PC).
    17. Jiang, Ping & Liu, Zhenkun & Niu, Xinsong & Zhang, Lifang, 2021. "A combined forecasting system based on statistical method, artificial neural networks, and deep learning methods for short-term wind speed forecasting," Energy, Elsevier, vol. 217(C).
    18. Liu, Luyao & Bai, Feifei & Su, Chenyu & Ma, Cuiping & Yan, Ruifeng & Li, Hailong & Sun, Qie & Wennersten, Ronald, 2022. "Forecasting the occurrence of extreme electricity prices using a multivariate logistic regression model," Energy, Elsevier, vol. 247(C).
    19. Lu, Renzhi & Bai, Ruichang & Ding, Yuemin & Wei, Min & Jiang, Junhui & Sun, Mingyang & Xiao, Feng & Zhang, Hai-Tao, 2021. "A hybrid deep learning-based online energy management scheme for industrial microgrid," Applied Energy, Elsevier, vol. 304(C).
    20. Wang, Xuguang & Ren, Huan & Zhai, Junhai & Xing, Hongjie & Su, Jie, 2022. "Adaptive support segment based short-term wind speed forecasting," Energy, Elsevier, vol. 249(C).
    21. Hong, Ying-Yi & Satriani, Thursy Rienda Aulia, 2020. "Day-ahead spatiotemporal wind speed forecasting using robust design-based deep learning neural network," Energy, Elsevier, vol. 209(C).
    22. Zhou, Yilin & Wang, Jianzhou & Lu, Haiyan & Zhao, Weigang, 2022. "Short-term wind power prediction optimized by multi-objective dragonfly algorithm based on variational mode decomposition," Chaos, Solitons & Fractals, Elsevier, vol. 157(C).
    23. Heidarpanah, Mohammadreza & Hooshyaripor, Farhad & Fazeli, Meysam, 2023. "Daily electricity price forecasting using artificial intelligence models in the Iranian electricity market," Energy, Elsevier, vol. 263(PE).
    24. Sun, zexian & Zhao, mingyu & Dong, yan & Cao, xin & Sun, Hexu, 2021. "Hybrid model with secondary decomposition, randomforest algorithm, clustering analysis and long short memory network principal computing for short-term wind power forecasting on multiple scales," Energy, Elsevier, vol. 221(C).
    25. Wang, Xuguang & Li, Xiao & Su, Jie, 2023. "Distribution drift-adaptive short-term wind speed forecasting," Energy, Elsevier, vol. 273(C).
    26. Yang, Rui & Liu, Hui & Nikitas, Nikolaos & Duan, Zhu & Li, Yanfei & Li, Ye, 2022. "Short-term wind speed forecasting using deep reinforcement learning with improved multiple error correction approach," Energy, Elsevier, vol. 239(PB).
    27. Liu, Hui & Yu, Chengqing & Wu, Haiping & Duan, Zhu & Yan, Guangxi, 2020. "A new hybrid ensemble deep reinforcement learning model for wind speed short term forecasting," Energy, Elsevier, vol. 202(C).
    28. AL-Alimi, Dalal & AlRassas, Ayman Mutahar & Al-qaness, Mohammed A.A. & Cai, Zhihua & Aseeri, Ahmad O. & Abd Elaziz, Mohamed & Ewees, Ahmed A., 2023. "TLIA: Time-series forecasting model using long short-term memory integrated with artificial neural networks for volatile energy markets," Applied Energy, Elsevier, vol. 343(C).
    29. Hasnain Iftikhar & Josue E. Turpo-Chaparro & Paulo Canas Rodrigues & Javier Linkolk López-Gonzales, 2023. "Forecasting Day-Ahead Electricity Prices for the Italian Electricity Market Using a New Decomposition—Combination Technique," Energies, MDPI, vol. 16(18), pages 1-23, September.
    30. Zhao, Xinyu & Bai, Mingliang & Yang, Xusheng & Liu, Jinfu & Yu, Daren & Chang, Juntao, 2021. "Short-term probabilistic predictions of wind multi-parameter based on one-dimensional convolutional neural network with attention mechanism and multivariate copula distribution estimation," Energy, Elsevier, vol. 234(C).
    31. Tahmasebifar, Reza & Moghaddam, Mohsen Parsa & Sheikh-El-Eslami, Mohammad Kazem & Kheirollahi, Reza, 2020. "A new hybrid model for point and probabilistic forecasting of wind power," Energy, Elsevier, vol. 211(C).
    32. Wu, Zheng & Zhang, Yue & Dong, Ze, 2023. "Prediction of NOx emission concentration from coal-fired power plant based on joint knowledge and data driven," Energy, Elsevier, vol. 271(C).
    33. Li, Jinchao & Wu, Qianqian & Tian, Yu & Fan, Liguo, 2021. "Monthly Henry Hub natural gas spot prices forecasting using variational mode decomposition and deep belief network," Energy, Elsevier, vol. 227(C).
    34. Dorel Mihai Paraschiv & Narciz Balasoiu & Souhir Ben-Amor & Raul Cristian Bag, 2023. "Hybridising Neurofuzzy Model the Seasonal Autoregressive Models for Electricity Price Forecasting on Germany’s Spot Market," The AMFITEATRU ECONOMIC journal, Academy of Economic Studies - Bucharest, Romania, vol. 25(63), pages 463-463, April.
    35. Lu, Renzhi & Bai, Ruichang & Huang, Yuan & Li, Yuting & Jiang, Junhui & Ding, Yuemin, 2021. "Data-driven real-time price-based demand response for industrial facilities energy management," Applied Energy, Elsevier, vol. 283(C).
    36. Demir, Sumeyra & Mincev, Krystof & Kok, Koen & Paterakis, Nikolaos G., 2021. "Data augmentation for time series regression: Applying transformations, autoencoders and adversarial networks to electricity price forecasting," Applied Energy, Elsevier, vol. 304(C).
    37. Wang, Shuai & Wang, Jianzhou & Lu, Haiyan & Zhao, Weigang, 2021. "A novel combined model for wind speed prediction – Combination of linear model, shallow neural networks, and deep learning approaches," Energy, Elsevier, vol. 234(C).
    38. Yang, Wendong & Sun, Shaolong & Hao, Yan & Wang, Shouyang, 2022. "A novel machine learning-based electricity price forecasting model based on optimal model selection strategy," Energy, Elsevier, vol. 238(PC).
    39. Xiangyue Wang & Ji Li & Lei Shao & Hongli Liu & Lei Ren & Lihua Zhu, 2023. "Short-Term Wind Power Prediction by an Extreme Learning Machine Based on an Improved Hunter–Prey Optimization Algorithm," Sustainability, MDPI, vol. 15(2), pages 1-14, January.
    40. Elmore, Clay T. & Dowling, Alexander W., 2021. "Learning spatiotemporal dynamics in wholesale energy markets with dynamic mode decomposition," Energy, Elsevier, vol. 232(C).
    41. Micha{l} Narajewski & Florian Ziel, 2020. "Ensemble Forecasting for Intraday Electricity Prices: Simulating Trajectories," Papers 2005.01365, arXiv.org, revised Aug 2020.
    42. Majidi Nezhad, M. & Heydari, A. & Pirshayan, E. & Groppi, D. & Astiaso Garcia, D., 2021. "A novel forecasting model for wind speed assessment using sentinel family satellites images and machine learning method," Renewable Energy, Elsevier, vol. 179(C), pages 2198-2211.
    43. Grzegorz Marcjasz, 2020. "Forecasting Electricity Prices Using Deep Neural Networks: A Robust Hyper-Parameter Selection Scheme," Energies, MDPI, vol. 13(18), pages 1-18, September.
    44. Yang, Weifei & Xiao, Changlai & Zhang, Zhihao & Liang, Xiujuan, 2022. "Identification of the formation temperature field of the southern Songliao Basin, China based on a deep belief network," Renewable Energy, Elsevier, vol. 182(C), pages 32-42.
    45. Wang, Ying & Wang, Jianzhou & Li, Zhiwu & Yang, Hufang & Li, Hongmin, 2021. "Design of a combined system based on two-stage data preprocessing and multi-objective optimization for wind speed prediction," Energy, Elsevier, vol. 231(C).
    46. Banaś, Jan & Utnik-Banaś, Katarzyna, 2021. "Evaluating a seasonal autoregressive moving average model with an exogenous variable for short-term timber price forecasting," Forest Policy and Economics, Elsevier, vol. 131(C).
    47. Fang Guo & Shangyun Deng & Weijia Zheng & An Wen & Jinfeng Du & Guangshan Huang & Ruiyang Wang, 2022. "Short-Term Electricity Price Forecasting Based on the Two-Layer VMD Decomposition Technique and SSA-LSTM," Energies, MDPI, vol. 15(22), pages 1-20, November.
    48. Jiang, Ping & Liu, Zhenkun & Wang, Jianzhou & Zhang, Lifang, 2021. "Decomposition-selection-ensemble forecasting system for energy futures price forecasting based on multi-objective version of chaos game optimization algorithm," Resources Policy, Elsevier, vol. 73(C).
    49. Bai, Yulong & Liu, Ming-De & Ding, Lin & Ma, Yong-Jie, 2021. "Double-layer staged training echo-state networks for wind speed prediction using variational mode decomposition," Applied Energy, Elsevier, vol. 301(C).
    50. Ershen Wang & Caimiao Sun & Chuanyun Wang & Pingping Qu & Yufeng Huang & Tao Pang, 2021. "A satellite selection algorithm based on adaptive simulated annealing particle swarm optimization for the BeiDou Navigation Satellite System/Global Positioning System receiver," International Journal of Distributed Sensor Networks, , vol. 17(7), pages 15501477211, July.
    51. Wang, Jujie & Cui, Quan & He, Maolin, 2022. "Hybrid intelligent framework for carbon price prediction using improved variational mode decomposition and optimal extreme learning machine," Chaos, Solitons & Fractals, Elsevier, vol. 156(C).
    52. Narajewski, Michał & Ziel, Florian, 2020. "Ensemble forecasting for intraday electricity prices: Simulating trajectories," Applied Energy, Elsevier, vol. 279(C).

  37. Yi-Ming Wei & Rong Han & Ce Wang & Biying Yu & Qiao-Mei Liang & Xiao-Chen Yuan & Junjie Chang & Qingyu Zhao & Hua Liao & Baojun Tang & Jinyue Yan & Lijing Cheng & Zili Yang, 2020. "Self-preservation strategy for approaching global warming targets in the post-Paris Agreement era," Nature Communications, Nature, vol. 11(1), pages 1-13, December.

    Cited by:

    1. Jin, Gui & Shi, Xin & Zhang, Lei & Hu, Shougeng, 2020. "Measuring the SCCs of different Chinese regions under future scenarios," Renewable and Sustainable Energy Reviews, Elsevier, vol. 130(C).
    2. Chang, Jun-Jie & Mi, Zhifu & Wei, Yi-Ming, 2023. "Temperature and GDP: A review of climate econometrics analysis," Structural Change and Economic Dynamics, Elsevier, vol. 66(C), pages 383-392.
    3. Javed, Aamir & Rapposelli, Agnese & Khan, Feroz & Javed, Asif, 2023. "The impact of green technology innovation, environmental taxes, and renewable energy consumption on ecological footprint in Italy: Fresh evidence from novel dynamic ARDL simulations," Technological Forecasting and Social Change, Elsevier, vol. 191(C).
    4. Zhou, Yuzhou & Zhao, Jiexing & Zhai, Qiaozhu, 2021. "100% renewable energy: A multi-stage robust scheduling approach for cascade hydropower system with wind and photovoltaic power," Applied Energy, Elsevier, vol. 301(C).
    5. Chen, Xiaotong & Yang, Fang & Zhang, Shining & Zakeri, Behnam & Chen, Xing & Liu, Changyi & Hou, Fangxin, 2021. "Regional emission pathways, energy transition paths and cost analysis under various effort-sharing approaches for meeting Paris Agreement goals," Energy, Elsevier, vol. 232(C).
    6. Kang, Jia-Ning & Wei, Yi-Ming & Liu, Lan-cui & Wang, Jin-Wei, 2021. "Observing technology reserves of carbon capture and storage via patent data: Paving the way for carbon neutral," Technological Forecasting and Social Change, Elsevier, vol. 171(C).
    7. Denis Maragno & Carlo Federico dall’Omo & Gianfranco Pozzer & Niccolò Bassan & Francesco Musco, 2020. "Land–Sea Interaction: Integrating Climate Adaptation Planning and Maritime Spatial Planning in the North Adriatic Basin," Sustainability, MDPI, vol. 12(13), pages 1-29, July.
    8. Jiang, Hong-Dian & Purohit, Pallav & Liang, Qiao-Mei & Dong, Kangyin & Liu, Li-Jing, 2022. "The cost-benefit comparisons of China's and India's NDCs based on carbon marginal abatement cost curves," Energy Economics, Elsevier, vol. 109(C).
    9. Rising, James A. & Taylor, Charlotte & Ives, Matthew C. & Ward, Robert E.T., 2022. "Challenges and innovations in the economic evaluation of the risks of climate change," Ecological Economics, Elsevier, vol. 197(C).
    10. Li, Yan & Feng, Tian-tian & Liu, Li-li & Zhang, Meng-xi, 2023. "How do the electricity market and carbon market interact and achieve integrated development?--A bibliometric-based review," Energy, Elsevier, vol. 265(C).
    11. Khalil Ullah Mohammad & Mohsin Raza Khan, 2022. "Effectiveness Of Green Project Screening For Bank Lending: Evidence From Pakistan," Bulletin of Business and Economics (BBE), Research Foundation for Humanity (RFH), vol. 11(1), pages 93-103, March.
    12. Chen, Hao & Qi, Shaozhou & Zhang, Jihong, 2022. "Towards carbon neutrality with Chinese characteristics: From an integrated perspective of economic growth-equity-environment," Applied Energy, Elsevier, vol. 324(C).
    13. Sorin Cheval & Cristian Mihai Adamescu & Teodoro Georgiadis & Mathew Herrnegger & Adrian Piticar & David R. Legates, 2020. "Observed and Potential Impacts of the COVID-19 Pandemic on the Environment," IJERPH, MDPI, vol. 17(11), pages 1-25, June.
    14. Rising, James A. & Taylor, Charlotte & Ives, Matthew C. & Ward, Robert E.t., 2022. "Challenges and innovations in the economic evaluation of the risks of climate change," LSE Research Online Documents on Economics 114941, London School of Economics and Political Science, LSE Library.
    15. Masood S. Alivand & Omid Mazaheri & Yue Wu & Ali Zavabeti & Andrew J. Christofferson & Nastaran Meftahi & Salvy P. Russo & Geoffrey W. Stevens & Colin A. Scholes & Kathryn A. Mumford, 2022. "Engineered assembly of water-dispersible nanocatalysts enables low-cost and green CO2 capture," Nature Communications, Nature, vol. 13(1), pages 1-11, December.

  38. Xiao-Chen Yuan & Zhiming Yang & Yi-Ming Wei & Bing Wang, 2020. "The Economic Impacts Of Global Warming On Chinese Cities," Climate Change Economics (CCE), World Scientific Publishing Co. Pte. Ltd., vol. 11(02), pages 1-16, May.

    Cited by:

    1. Chang, Jun-Jie & Mi, Zhifu & Wei, Yi-Ming, 2023. "Temperature and GDP: A review of climate econometrics analysis," Structural Change and Economic Dynamics, Elsevier, vol. 66(C), pages 383-392.
    2. Shouwei Li & Xin Wu, 2023. "How does climate risk affect bank loan supply? Empirical evidence from China," Economic Change and Restructuring, Springer, vol. 56(4), pages 2169-2204, August.
    3. Duan, Hongbo & Yuan, Deyu & Cai, Zongwu & Wang, Shouyang, 2022. "Valuing the impact of climate change on China’s economic growth," Economic Analysis and Policy, Elsevier, vol. 74(C), pages 155-174.

  39. Chen, Hao & Gao, Xin-Ya & Liu, Jian-Yu & Zhang, Qian & Yu, Shiwei & Kang, Jia-Ning & Yan, Rui & Wei, Yi-Ming, 2020. "The grid parity analysis of onshore wind power in China: A system cost perspective," Renewable Energy, Elsevier, vol. 148(C), pages 22-30.

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    1. Chong, Shijia & Wu, Jing & Chang, I-Shin, 2024. "Cost accounting and economic competitiveness evaluation of photovoltaic power generation in China —— based on the system levelized cost of electricity," Renewable Energy, Elsevier, vol. 222(C).
    2. Li, Aitong & Sun, Ying & Song, Xiaobin, 2023. "Gradual improvement and reactive intervention: China's policy pathway for developing the wind power industry," Renewable Energy, Elsevier, vol. 216(C).
    3. Russell McKenna & Stefan Pfenninger & Heidi Heinrichs & Johannes Schmidt & Iain Staffell & Katharina Gruber & Andrea N. Hahmann & Malte Jansen & Michael Klingler & Natascha Landwehr & Xiaoli Guo Lars', 2021. "Reviewing methods and assumptions for high-resolution large-scale onshore wind energy potential assessments," Papers 2103.09781, arXiv.org.
    4. Gaoyuan Xu & Xiaojing Wang, 2022. "Research on the Electricity Market Clearing Model for Renewable Energy," Energies, MDPI, vol. 15(23), pages 1-16, December.
    5. Jafarzadeh Ghoushchi, Saeid & Manjili, Sobhan & Mardani, Abbas & Saraji, Mahyar Kamali, 2021. "An extended new approach for forecasting short-term wind power using modified fuzzy wavelet neural network: A case study in wind power plant," Energy, Elsevier, vol. 223(C).
    6. Liu, Da & Liu, Yumeng & Sun, Kun, 2021. "Policy impact of cancellation of wind and photovoltaic subsidy on power generation companies in China," Renewable Energy, Elsevier, vol. 177(C), pages 134-147.
    7. McKenna, Russell & Pfenninger, Stefan & Heinrichs, Heidi & Schmidt, Johannes & Staffell, Iain & Bauer, Christian & Gruber, Katharina & Hahmann, Andrea N. & Jansen, Malte & Klingler, Michael & Landwehr, 2022. "High-resolution large-scale onshore wind energy assessments: A review of potential definitions, methodologies and future research needs," Renewable Energy, Elsevier, vol. 182(C), pages 659-684.
    8. Jabir Ali Ouassou & Julian Straus & Marte Fodstad & Gunhild Reigstad & Ove Wolfgang, 2021. "Applying endogenous learning models in energy system optimization," Papers 2106.06373, arXiv.org.
    9. Li Ma & Die Xu, 2021. "Toward Renewable Energy in China: Revisiting Driving Factors of Chinese Wind Power Generation Development and Spatial Distribution," Sustainability, MDPI, vol. 13(16), pages 1-13, August.
    10. Qian, Wuyong & Wang, Jue, 2020. "An improved seasonal GM(1,1) model based on the HP filter for forecasting wind power generation in China," Energy, Elsevier, vol. 209(C).
    11. Xin-gang, Zhao & Pei-ling, Li & Ying, Zhou, 2020. "Which policy can promote renewable energy to achieve grid parity? Feed-in tariff vs. renewable portfolio standards," Renewable Energy, Elsevier, vol. 162(C), pages 322-333.
    12. Luan, Ranran & Lin, Boqiang, 2022. "Positive or negative? Study on the impact of government subsidy on the business performance of China's solar photovoltaic industry," Renewable Energy, Elsevier, vol. 189(C), pages 1145-1153.
    13. Jabir Ali Ouassou & Julian Straus & Marte Fodstad & Gunhild Reigstad & Ove Wolfgang, 2021. "Applying Endogenous Learning Models in Energy System Optimization," Energies, MDPI, vol. 14(16), pages 1-21, August.
    14. Wang, Rong & Hasanefendic, Sandra & Von Hauff, Elizabeth & Bossink, Bart, 2022. "The cost of photovoltaics: Re-evaluating grid parity for PV systems in China," Renewable Energy, Elsevier, vol. 194(C), pages 469-481.
    15. Zhang, Libo & Chen, Changqi & Wang, Qunwei & Zhou, Dequn, 2021. "The impact of feed-in tariff reduction and renewable portfolio standard on the development of distributed photovoltaic generation in China," Energy, Elsevier, vol. 232(C).

  40. Yang, Bo & Wei, Yi-Ming & Hou, Yunbing & Li, Hui & Wang, Pengtao, 2019. "Life cycle environmental impact assessment of fuel mix-based biomass co-firing plants with CO2 capture and storage," Applied Energy, Elsevier, vol. 252(C), pages 1-1.

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    1. Al-Jabri, Hareb & Das, Probir & Khan, Shoyeb & AbdulQuadir, Mohammad & Thaher, Mehmoud Ibrahim & Hoekman, Kent & Hawari, Alaa H., 2022. "A comparison of bio-crude oil production from five marine microalgae – Using life cycle analysis," Energy, Elsevier, vol. 251(C).
    2. Aviso, K.B. & Sy, C.L. & Tan, R.R. & Ubando, A.T., 2020. "Fuzzy optimization of carbon management networks based on direct and indirect biomass co-firing," Renewable and Sustainable Energy Reviews, Elsevier, vol. 132(C).
    3. Yang, Lin & Lv, Haodong & Jiang, Dalin & Fan, Jingli & Zhang, Xian & He, Weijun & Zhou, Jinsheng & Wu, Wenjing, 2020. "Whether CCS technologies will exacerbate the water crisis in China? —A full life-cycle analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 134(C).
    4. Salas, D.A. & Boero, A.J. & Ramirez, A.D., 2024. "Life cycle assessment of bioenergy with carbon capture and storage: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 199(C).
    5. Mohamed, Usama & Zhao, Ying-jie & Yi, Qun & Shi, Li-juan & Wei, Guo-qing & Nimmo, William, 2021. "Evaluation of life cycle energy, economy and CO2 emissions for biomass chemical looping gasification to power generation," Renewable Energy, Elsevier, vol. 176(C), pages 366-387.
    6. Saharudin, Djasmine Mastisya & Jeswani, Harish Kumar & Azapagic, Adisa, 2023. "Bioenergy with carbon capture and storage (BECSS): Life cycle environmental and economic assessment of electricity generated from palm oil wastes," Applied Energy, Elsevier, vol. 349(C).
    7. Sammarchi, Sergio & Li, Jia & Izikowitz, David & Yang, Qiang & Xu, Dong, 2022. "China’s coal power decarbonization via CO2 capture and storage and biomass co-firing: A LCA case study in Inner Mongolia," Energy, Elsevier, vol. 261(PA).
    8. Tan, Zhizhou & Zeng, Xianhai & Lin, Boqiang, 2023. "How do multiple policy incentives influence investors’ decisions on biomass co-firing combined with carbon capture and storage retrofit projects for coal-fired power plants?," Energy, Elsevier, vol. 278(PB).
    9. Chunyu Wang & Ling Zhu, 2021. "Life Cycle Assessment of Coal-to-Liquid Process," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(10), pages 14453-14471, October.
    10. Zhang, Haonan & Zhang, Xingping & Yuan, Jiahai, 2020. "Transition of China's power sector consistent with Paris Agreement into 2050: Pathways and challenges," Renewable and Sustainable Energy Reviews, Elsevier, vol. 132(C).
    11. Zhang, Lige & Spatari, Sabrina & Sun, Ying, 2020. "Life cycle assessment of novel heat exchanger for dry cooling of power plants based on encapsulated phase change materials," Applied Energy, Elsevier, vol. 271(C).
    12. Yang, Qiushuang & Mašek, Ondřej & Zhao, Ling & Nan, Hongyan & Yu, Shitong & Yin, Jianxiang & Li, Zhaopeng & Cao, Xinde, 2021. "Country-level potential of carbon sequestration and environmental benefits by utilizing crop residues for biochar implementation," Applied Energy, Elsevier, vol. 282(PB).
    13. Joachim Kozioł & Joanna Czubala & Michał Kozioł & Piotr Ziembicki, 2020. "Generalized Energy and Ecological Characteristics of the Process of Co-Firing Coal with Biomass in a Steam Boiler," Energies, MDPI, vol. 13(10), pages 1-12, May.
    14. William Ampomah & Anthony Morgan & Desmond Ofori Koranteng & Warden Ivan Nyamekye, 2024. "CCUS Perspectives: Assessing Historical Contexts, Current Realities, and Future Prospects," Energies, MDPI, vol. 17(17), pages 1-57, August.
    15. Roy, Dibyendu & Samanta, Samiran & Ghosh, Sudip, 2020. "Performance assessment of a biomass fuelled advanced hybrid power generation system," Renewable Energy, Elsevier, vol. 162(C), pages 639-661.
    16. Patrón, Gabriel D. & Ricardez-Sandoval, Luis, 2022. "An integrated real-time optimization, control, and estimation scheme for post-combustion CO2 capture," Applied Energy, Elsevier, vol. 308(C).
    17. Li, Yan & Feng, Tian-tian & Liu, Li-li & Zhang, Meng-xi, 2023. "How do the electricity market and carbon market interact and achieve integrated development?--A bibliometric-based review," Energy, Elsevier, vol. 265(C).
    18. Yang, Bo & Wei, Yi-Ming & Liu, Lan-Cui & Hou, Yun-Bing & Zhang, Kun & Yang, Lai & Feng, Ye, 2021. "Life cycle cost assessment of biomass co-firing power plants with CO2 capture and storage considering multiple incentives," Energy Economics, Elsevier, vol. 96(C).
    19. Nguyen Van Song & Thai Van Ha & Tran Duc Thuan & Nguyen Van Hanh & Dinh Van Tien & Nguyen Cong Tiep & Nguyen Thi Minh Phuong & Phan Anh Tu & Tran Ba Uan, 2021. "Development of Rice Husk Power Plants Based on Clean Development Mechanism: A Case Study in Mekong River Delta, Vietnam," Sustainability, MDPI, vol. 13(12), pages 1-10, June.
    20. Mo, Wenyu & Xiong, Zhe & Leong, Huiyi & Gong, Xi & Jiang, Long & Xu, Jun & Su, Sheng & Hu, Song & Wang, Yi & Xiang, Jun, 2022. "Processes simulation and environmental evaluation of biofuel production via Co-pyrolysis of tropical agricultural waste," Energy, Elsevier, vol. 242(C).
    21. Zhang, Lihui & Li, Songrui & Hu, Yitang & Nie, Qingyun, 2022. "Economic optimization of a bioenergy-based hybrid renewable energy system under carbon policies—from the life-cycle perspective," Applied Energy, Elsevier, vol. 310(C).
    22. Yanbin Li & Yanting Sun & Yulin Kang & Feng Zhang & Junjie Zhang, 2023. "An Optimal Site Selection Framework for Near-Zero Carbon Emission Power Plants Based on Multiple Stakeholders," Energies, MDPI, vol. 16(2), pages 1-26, January.
    23. Bello, Sara & Galán-Martín, Ángel & Feijoo, Gumersindo & Moreira, Maria Teresa & Guillén-Gosálbez, Gonzalo, 2020. "BECCS based on bioethanol from wood residues: Potential towards a carbon-negative transport and side-effects," Applied Energy, Elsevier, vol. 279(C).
    24. Ghazidin, Hafizh & Suyatno, Suyatno & Prismantoko, Adi & Karuana, Feri & Sarjono, & Prabowo, & Setiyawan, Atok & Darmawan, Arif & Aziz, Muhammad & Vuthaluru, Hari & Hariana, Hariana, 2024. "Impact of additives in mitigating ash-related problems during co-combustion of solid recovered fuel and high-sulfur coal," Energy, Elsevier, vol. 292(C).
    25. Wu, Zitao & Zhai, Haibo, 2021. "Consumptive life cycle water use of biomass-to-power plants with carbon capture and sequestration," Applied Energy, Elsevier, vol. 303(C).
    26. Wang, Peng-Tao & Wei, Yi-Ming & Yang, Bo & Li, Jia-Quan & Kang, Jia-Ning & Liu, Lan-Cui & Yu, Bi-Ying & Hou, Yun-Bing & Zhang, Xian, 2020. "Carbon capture and storage in China’s power sector: Optimal planning under the 2 °C constraint," Applied Energy, Elsevier, vol. 263(C).
    27. Cartelle Barros, Juan José & Lara Coira, Manuel & de la Cruz López, María Pilar & del Caño Gochi, Alfredo & Soares, Isabel, 2020. "Probabilistic multicriteria environmental assessment of power plants: A global approach," Applied Energy, Elsevier, vol. 260(C).

  41. Ke Wang & Yujiao Xian & Chia-Yen Lee & Yi-Ming Wei & Zhimin Huang, 2019. "On selecting directions for directional distance functions in a non-parametric framework: a review," Annals of Operations Research, Springer, vol. 278(1), pages 43-76, July.
    See citations under working paper version above.
  42. Zhu, Bangzhu & Zhang, Mengfan & Zhou, Yanhua & Wang, Ping & Sheng, Jichuan & He, Kaijian & Wei, Yi-Ming & Xie, Rui, 2019. "Exploring the effect of industrial structure adjustment on interprovincial green development efficiency in China: A novel integrated approach," Energy Policy, Elsevier, vol. 134(C).

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    2. Ke Liu & Yurong Qiao & Qian Zhou, 2021. "Analysis of China’s Industrial Green Development Efficiency and Driving Factors: Research Based on MGWR," IJERPH, MDPI, vol. 18(8), pages 1-22, April.
    3. Bohan Chai & Junwei Gao & Lingying Pan & Yishu Chen, 2021. "Research on the Impact Factors of Green Economy of China—From the Perspective of System and Foreign Direct Investment," Sustainability, MDPI, vol. 13(16), pages 1-18, August.
    4. Tang, Kai & Wang, Yu-ying & Wang, Hai-jie, 2024. "The impact of innovation capability on green development in China's urban agglomerations," Technological Forecasting and Social Change, Elsevier, vol. 200(C).
    5. Yu, Shiwei & Zheng, Yali & Hu, Xing & Shu, Kesheng, 2022. "Spatial impacts of biomass resource endowment on provincial green development efficiency," Renewable Energy, Elsevier, vol. 189(C), pages 651-662.
    6. Jia He & Yi Li & Lianjun Zhang & Junyin Tan & Chuanhao Wen, 2021. "A County-Scale Spillover Ecological Value Compensation Standard of Ecological Barrier Area in China: Based on an Extended Emergy Analysis," Agriculture, MDPI, vol. 11(12), pages 1-26, November.
    7. Lin, Boqiang & Xu, Chongchong, 2024. "Reaping green dividend: The effect of China's urban new energy transition strategy on green economic performance," Energy, Elsevier, vol. 286(C).
    8. Mohammed Hasan Ali & Mustafa Musa Jaber & Sura Khalil Abd & Ali S. Abosinnee & Z. H. Kareem & Hassan Falih Hamdan, 2023. "RETRACTED ARTICLE: Analysis of modern circulation industry development level using industrial structure mechanism," Journal of Combinatorial Optimization, Springer, vol. 45(2), pages 1-25, March.
    9. Shengyun Wang & Yaxin Zhang & Huwei Wen, 2021. "Comprehensive Measurement and Regional Imbalance of China’s Green Development Performance," Sustainability, MDPI, vol. 13(3), pages 1-20, January.
    10. Zhou, Yuwen & Tian, Lixin & Yang, Xiaoguang, 2023. "Schumpeterian endogenous growth model under green innovation and its enculturation effect," Energy Economics, Elsevier, vol. 127(PB).
    11. Senhua Huang & Lingming Chen, 2023. "The Impact of the Digital Economy on the Urban Total-Factor Energy Efficiency: Evidence from 275 Cities in China," Sustainability, MDPI, vol. 15(4), pages 1-20, February.
    12. Yuan, Huaxi & Feng, Yidai & Lee, Chien-Chiang & Cen, Yan, 2020. "How does manufacturing agglomeration affect green economic efficiency?," Energy Economics, Elsevier, vol. 92(C).
    13. Guimei Wang & Kaiming Cheng & Muhammad Salman, 2024. "High-speed Railway and Green Total Factor Productivity: Taking Industrial Structure as a Mediator," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 15(2), pages 6908-6936, June.
    14. Jiawen Zhang & Zhenhua Xu & Fuyi Ci, 2023. "Spatio–Temporal Evolutionary Features and Drivers of Green Competitiveness of Cities Surrounding the Yellow River," Sustainability, MDPI, vol. 15(19), pages 1-24, September.
    15. Ge Huang & Wei Pan & Cheng Hu & Wu-Lin Pan & Wan-Qiang Dai, 2021. "Energy Utilization Efficiency of China Considering Carbon Emissions—Based on Provincial Panel Data," Sustainability, MDPI, vol. 13(2), pages 1-14, January.
    16. Kuang, Yunming & Lin, Boqiang, 2022. "Natural gas resource utilization, environmental policy and green economic development: Empirical evidence from China," Resources Policy, Elsevier, vol. 79(C).
    17. Lin, Boqiang & Zhou, Yicheng, 2021. "How does vertical fiscal imbalance affect the upgrading of industrial structure? Empirical evidence from China," Technological Forecasting and Social Change, Elsevier, vol. 170(C).
    18. Wanfang Shen & Yufei Liu & Xiaowen Liu & Jianing Shi & Wenbin Liu & Chengye Liu, 2023. "The Effect of Industrial Structure Upgrading and Human Capital Structure Upgrading on Green Development Efficiency—Based on China’s Resource-Based Cities," Sustainability, MDPI, vol. 15(5), pages 1-26, March.
    19. Wenqi Zhao & Moau Yong Toh, 2023. "Impact of Innovative City Pilot Policy on Industrial Structure Upgrading in China," Sustainability, MDPI, vol. 15(9), pages 1-22, April.
    20. Zhang, Zhiyuan & Li, Runfei & Song, Yang & Sahut, Jean-Michel, 2024. "The impact of environmental regulation on the optimization of industrial structure in energy-based cities," Research in International Business and Finance, Elsevier, vol. 68(C).
    21. Yuliang Yang & Chaoqun Cui, 2022. "Which Provincial Regions in China Should Give Priority to the Redevelopment of Abandoned Coal Mines? A Redevelopment Potential Evaluation Based Analysis," Sustainability, MDPI, vol. 14(23), pages 1-22, November.
    22. Shengli Dai & Weimin Zhang & Yingying Wang & Ge Wang, 2022. "Examining the Impact of Regional Development Policy on Industrial Structure Upgrading: Quasi-Experimental Evidence from China," IJERPH, MDPI, vol. 19(9), pages 1-18, April.
    23. Luo, Kang & Lee, Chien-Chiang & Zhuo, Chong, 2024. "A pathway to coordinated regional development: Energy utilization efficiency and green development - Evidence from China's major national strategic zones," Energy Economics, Elsevier, vol. 131(C).
    24. Yanwei Lyu & Jinning Zhang & Lingli Wang & Fei Yang & Yu Hao, 2022. "Towards a win‐win situation for innovation and sustainable development: The role of environmental regulation," Sustainable Development, John Wiley & Sons, Ltd., vol. 30(6), pages 1703-1717, December.
    25. Ren, Siyu & Hao, Yu & Wu, Haitao, 2022. "The role of outward foreign direct investment (OFDI) on green total factor energy efficiency: Does institutional quality matters? Evidence from China," Resources Policy, Elsevier, vol. 76(C).
    26. Lin, Boqiang & Zhou, Yicheng, 2021. "Does fiscal decentralization improve energy and environmental performance? New perspective on vertical fiscal imbalance," Applied Energy, Elsevier, vol. 302(C).
    27. Hongjun, Guan & Liye, Dong & Aiwu, Zhao, 2023. "Energy structure dividend, factor allocation efficiency and regional productivity growth-- An empirical examination of energy restructuring in China," Energy Policy, Elsevier, vol. 172(C).
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    31. Weiguang Wang & Yangyang Wang, 2023. "Regional Differences, Dynamic Evolution and Driving Factors Analysis of PM 2.5 in the Yangtze River Economic Belt," Sustainability, MDPI, vol. 15(4), pages 1-24, February.
    32. Lin, Boqiang & Zhou, Yicheng, 2022. "Measuring the green economic growth in China: Influencing factors and policy perspectives," Energy, Elsevier, vol. 241(C).
    33. Rongrong Liu & Dong Chen & Suchang Yang & Yang Chen, 2021. "Evaluation of Green Development Efficiency of the Major Cities in Gansu Province, China," Sustainability, MDPI, vol. 13(6), pages 1-18, March.
    34. Lin, Boqiang & Wang, Chonghao, 2024. "Does industrial relocation affect green total factor energy efficiency? Evidence from China's high energy-consuming industries," Energy, Elsevier, vol. 289(C).
    35. Han, Yonghui & Zhang, Fan & Huang, Liangxiong & Peng, Keming & Wang, Xianbin, 2021. "Does industrial upgrading promote eco-efficiency? ─A panel space estimation based on Chinese evidence," Energy Policy, Elsevier, vol. 154(C).
    36. Li, Ye & Chen, Yiyan, 2021. "Development of an SBM-ML model for the measurement of green total factor productivity: The case of pearl river delta urban agglomeration," Renewable and Sustainable Energy Reviews, Elsevier, vol. 145(C).
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    39. Jingbo Liang & Wuliyasu Bai & Qianqian Li & Xingyuan Zhang & Long Zhang, 2022. "Dynamic Mechanisms and Institutional Frameworks of China’s Green Development: An Analysis from the Perspective of Collaboration," Sustainability, MDPI, vol. 14(11), pages 1-18, May.
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    41. You Zheng & Jianzhong Xiao & Jinhua Cheng, 2020. "Industrial Structure Adjustment and Regional Green Development from the Perspective of Mineral Resource Security," IJERPH, MDPI, vol. 17(19), pages 1-18, September.
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    71. Qi Yang & Zhonggen Sun & Hubiao Zhang, 2022. "Assessment of Urban Green Development Efficiency Based on Three-Stage DEA: A Case Study from China’s Yangtze River Delta," Sustainability, MDPI, vol. 14(19), pages 1-20, September.
    72. Du, Juan & Xu, Yanhong & Wang, Yi, 2023. "How to improve sustainability for industrial sectors: Optimizing production scales based on performance-oriented resource reallocation," Energy Economics, Elsevier, vol. 119(C).
    73. Kang Zhao & Rui Zhang & Hong Liu & Geyi Wang & Xialing Sun, 2021. "Resource Endowment, Industrial Structure, and Green Development of the Yellow River Basin," Sustainability, MDPI, vol. 13(8), pages 1-18, April.
    74. Jiao, Yong & Wang, Gaofei & Li, Chengyou & Pan, Jia, 2024. "Digital inclusive finance, factor flow and industrial structure upgrading: Evidence from the yellow river basin," Finance Research Letters, Elsevier, vol. 62(PA).
    75. Dongchu Han & Mianfang Liu, 2022. "How Does the Digital Economy Contribute to Regional Green Development in China? Evidence-Based on the Intermediary Effect of Technological Innovation," Sustainability, MDPI, vol. 14(18), pages 1-14, September.
    76. Dian Li & Ziheng Shangguan & Malan Huang & Xinyue Zhang & Lu Tang, 2022. "Impacts of Urban Development on Regional Green Development Efficiency—A Case of the Yangtze River Delta in China," Energies, MDPI, vol. 15(13), pages 1-18, June.
    77. Chunji Zheng & Feng Deng & Chengyou Li, 2022. "Energy-Saving Effect of Regional Development Strategy in Western China," Sustainability, MDPI, vol. 14(9), pages 1-22, May.
    78. Wang, Qian & Ren, Shuming, 2022. "Evaluation of green technology innovation efficiency in a regional context: A dynamic network slacks-based measuring approach," Technological Forecasting and Social Change, Elsevier, vol. 182(C).
    79. Wang, Huiping & Liu, Peiling, 2023. "Spatial correlation network of renewable energy consumption and its influencing factors: Evidence from 31 Chinese provinces," Renewable Energy, Elsevier, vol. 217(C).
    80. Chen, Zhe & Sarkar, Apurbo & Rahman, Airin & Li, Xiaojing & Xia, Xianli, 2022. "Exploring the drivers of green agricultural development (GAD) in China: A spatial association network structure approaches," Land Use Policy, Elsevier, vol. 112(C).
    81. Tao Ge & Jinye Li & Cang Wang, 2023. "Econometric analysis of the impact of innovative city pilots on CO2 emissions in China," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(9), pages 9359-9386, September.
    82. Gongli Luo & Xiaotong Wang & Lu Wang & Yanlu Guo, 2021. "The Relationship between Environmental Regulations and Green Economic Efficiency: A Study Based on the Provinces in China," IJERPH, MDPI, vol. 18(3), pages 1-17, January.
    83. Xi Zhang & Jiayu Zheng & Ligang Wang, 2022. "Can the Relationship between Atmospheric Environmental Quality and Urban Industrial Structure Adjustment Achieve Green and Sustainable Development in China? A Case of Taiyuan City," Energies, MDPI, vol. 15(9), pages 1-17, May.
    84. Lingyan Xu & Dandan Wang & Jianguo Du, 2022. "Spatial-Temporal Evolution and Influencing Factors of Urban Green and Smart Development Level in China: Evidence from 232 Prefecture-Level Cities," IJERPH, MDPI, vol. 19(7), pages 1-19, March.
    85. Dong, Zhaoyingzi & Xiao, Yue, 2024. "Carbon emissions trading policy and climate injustice: A study on economic distributional impacts," Energy, Elsevier, vol. 296(C).
    86. Xu Dong & Yang Chen & Qinqin Zhuang & Yali Yang & Xiaomeng Zhao, 2022. "Agglomeration of Productive Services, Industrial Structure Upgrading and Green Total Factor Productivity: An Empirical Analysis Based on 68 Prefectural-Level-and-Above Cities in the Yellow River Basin," IJERPH, MDPI, vol. 19(18), pages 1-19, September.
    87. Wang, Feng & Wu, Min & Wang, Jingcao, 2023. "Can increasing economic complexity improve China's green development efficiency?," Energy Economics, Elsevier, vol. 117(C).
    88. Mao, Wenxin & Wang, Wenping & Sun, Huifang & Yao, Peiyi & Wang, Xiaolei & Luo, Dang, 2021. "Urban industrial transformation patterns under natural resource dependence: A rule mining technique," Energy Policy, Elsevier, vol. 156(C).
    89. Yin Dong & Baishu Guo & Dawei He & Xiaoli Liao & Zhengyu Zhang & Xueqin Wu, 2022. "Industrial Transformation and Urban Economic Efficiency Evolution: An Empirical Study of the Yangtze River Economic Belt," IJERPH, MDPI, vol. 19(7), pages 1-19, March.
    90. Zhu, Qingyuan & Xu, Chengzhen & Chen, Qingjuan & Wu, Liangpeng, 2024. "Oil price distortion and its impact on green economic efficiency in China’s transportation: A spatial effect perspective," Renewable and Sustainable Energy Reviews, Elsevier, vol. 191(C).
    91. Liu, Zhao & Zhang, Huan & Zhang, Yue-Jun & Zhu, Tian-Tian, 2020. "How does industrial policy affect the eco-efficiency of industrial sector? Evidence from China," Applied Energy, Elsevier, vol. 272(C).
    92. Yaqin Wang & Shengsheng Li & Yan Jiang, 2022. "Can Transportation Infrastructure Construction Improve the Urban Green Development Efficiency? Evidence from China," Sustainability, MDPI, vol. 14(21), pages 1-16, October.
    93. Cheng, Yiyang & Ru, Shaofeng & Kader, Gavin, 2023. "Optimal capital investment structure and sustainable development: Evidence from China," Finance Research Letters, Elsevier, vol. 58(PB).
    94. Congyu Zhao & Kangyin Dong & Farhad Taghizadeh-Hesary, 2023. "Can smart transportation enhance green development efficiency?," Economic Change and Restructuring, Springer, vol. 56(2), pages 825-857, April.
    95. Zhao, Jun & Jiang, Qingzhe & Dong, Xiucheng & Dong, Kangyin & Jiang, Hongdian, 2022. "How does industrial structure adjustment reduce CO2 emissions? Spatial and mediation effects analysis for China," Energy Economics, Elsevier, vol. 105(C).
    96. Fang, Guochang & Chen, Gang & Yang, Kun & Yin, Weijun & Tian, Lixin, 2024. "How does green fiscal expenditure promote green total factor energy efficiency? — Evidence from Chinese 254 cities," Applied Energy, Elsevier, vol. 353(PA).
    97. Yu, Shiwei & Liu, Jie & Hu, Xing & Tian, Peng, 2022. "Does development of renewable energy reduce energy intensity? Evidence from 82 countries," Technological Forecasting and Social Change, Elsevier, vol. 174(C).
    98. Long, Ruyin & Li, Haifeng & Wu, Meifen & Li, Wenbo, 2021. "Dynamic evaluation of the green development level of China's coal-resource-based cities using the TOPSIS method," Resources Policy, Elsevier, vol. 74(C).
    99. Zhang, Rui & Qie, Xiaotong & Hu, Yanyong & Chen, Xue, 2022. "Does de-capacity policy promote the efficient and green development of the coal industry? –Based on the evidence of China," Resources Policy, Elsevier, vol. 77(C).
    100. Yuanyuan Wu & Zhanhua Jia & Tingting Yu, 2022. "Tourism and Green Development: Analysis of Linear and Non-Linear Effects," IJERPH, MDPI, vol. 19(23), pages 1-22, November.

  43. Cheng, Fangzheng & Li, Tian & Wei, Yi-ming & Fan, Tijun, 2019. "The VEC-NAR model for short-term forecasting of oil prices," Energy Economics, Elsevier, vol. 78(C), pages 656-667.

    Cited by:

    1. Wang, Bin & Wang, Jun, 2021. "Energy futures price prediction and evaluation model with deep bidirectional gated recurrent unit neural network and RIF-based algorithm," Energy, Elsevier, vol. 216(C).
    2. Chen, Yufeng & Msofe, Zulkifr Abdallah & Wang, Chuwen, 2024. "Asymmetric dynamic spillover and time-frequency connectedness in the oil-stock nexus under COVID-19 shock: Evidence from African oil importers and exporters," Resources Policy, Elsevier, vol. 90(C).
    3. Donghua Wang & Tianhui Fang, 2022. "Forecasting Crude Oil Prices with a WT-FNN Model," Energies, MDPI, vol. 15(6), pages 1-21, March.
    4. Wang, Zheng-Xin & He, Ling-Yang & Zheng, Hong-Hao, 2019. "Forecasting the residential solar energy consumption of the United States," Energy, Elsevier, vol. 178(C), pages 610-623.
    5. Abdollahi, Hooman & Ebrahimi, Seyed Babak, 2020. "A new hybrid model for forecasting Brent crude oil price," Energy, Elsevier, vol. 200(C).
    6. He, Huizi & Sun, Mei & Li, Xiuming & Mensah, Isaac Adjei, 2022. "A novel crude oil price trend prediction method: Machine learning classification algorithm based on multi-modal data features," Energy, Elsevier, vol. 244(PA).
    7. Krüger, Jens & Ruths Sion, Sebastian, 2019. "Improving oil price forecasts by sparse VAR methods," Darmstadt Discussion Papers in Economics 237, Darmstadt University of Technology, Department of Law and Economics.
    8. Rubaszek Michal & Karolak Zuzanna & Kwas Marek & Uddin Gazi Salah, 2020. "The role of the threshold effect for the dynamics of futures and spot prices of energy commodities," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 24(5), pages 1-20, December.
    9. Guo, Lili & Huang, Xinya & Li, Yanjiao & Li, Houjian, 2023. "Forecasting crude oil futures price using machine learning methods: Evidence from China," Energy Economics, Elsevier, vol. 127(PA).
    10. Zuzanna Karolak, 2021. "Energy prices forecasting using nonlinear univariate models," Bank i Kredyt, Narodowy Bank Polski, vol. 52(6), pages 577-598.
    11. Wang, Bin & Wang, Jun, 2020. "Energy futures and spots prices forecasting by hybrid SW-GRU with EMD and error evaluation," Energy Economics, Elsevier, vol. 90(C).
    12. Fang, Tianhui & Zheng, Chunling & Wang, Donghua, 2023. "Forecasting the crude oil prices with an EMD-ISBM-FNN model," Energy, Elsevier, vol. 263(PA).
    13. Cortazar, Gonzalo & Ortega, Hector & Valencia, Consuelo, 2021. "How good are analyst forecasts of oil prices?," Energy Economics, Elsevier, vol. 102(C).
    14. Bouteska, Ahmed & Hajek, Petr & Fisher, Ben & Abedin, Mohammad Zoynul, 2023. "Nonlinearity in forecasting energy commodity prices: Evidence from a focused time-delayed neural network," Research in International Business and Finance, Elsevier, vol. 64(C).
    15. Miljkovic, Dragan & Goetz, Cole, 2020. "The effects of futures markets on oil spot price volatility in regional US markets," Applied Energy, Elsevier, vol. 273(C).

  44. Zhang, Lei & Qin, Quande & Wei, Yi-Ming, 2019. "China's distributed energy policies: Evolution, instruments and recommendation," Energy Policy, Elsevier, vol. 125(C), pages 55-64.

    Cited by:

    1. Wang, Zihan & Li, Jiaxin & Liu, Jing & Shuai, Chuanmin, 2020. "Is the photovoltaic poverty alleviation project the best way for the poor to escape poverty? ——A DEA and GRA analysis of different projects in rural China," Energy Policy, Elsevier, vol. 137(C).
    2. Damayra, Fathiya & Khatib, Tamer, 2022. "Assessment of innovation policy standards’ impact on local development of renewable energy in Palestinian local government units," Renewable Energy, Elsevier, vol. 187(C), pages 177-192.
    3. Zhao, Chuan & Guo, Qidong & Jia, Rongwen & Dong, Kangyin & Wang, Kun, 2023. "How does clean energy transition promote original design manufacturers? A three-party evolutionary game analysis," Energy Economics, Elsevier, vol. 126(C).
    4. Wu, Shu, 2020. "The evolution of rural energy policies in China: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 119(C).
    5. Wang, Hao-ran & Feng, Tian-tian & Xiong, Wei, 2022. "How can the dynamic game be integrated into blockchain-based distributed energy resources multi-agent transactions for decision-making?," Energy, Elsevier, vol. 254(PB).
    6. Ying Wang & Lidan Tian & Junrong Xia & Weishi Zhang & Kaifeng Zhang, 2020. "Economic Assessment of the Peer-to-Peer Trading Policy of Distributed PV Electricity: A Case Study in China," Sustainability, MDPI, vol. 12(13), pages 1-22, June.
    7. Vasileiou, Efi & Georgantzis, Nikolaos & Attanasi, Giuseppe & Llerena, Patrick, 2024. "The role of innovation portfolio in green innovation decisions: A study of French and Italian firms," Technovation, Elsevier, vol. 130(C).
    8. Hosseini-Motlagh, Seyyed-Mahdi & Samani, Mohammad Reza Ghatreh & Shahbazbegian, Vahid, 2020. "Innovative strategy to design a mixed resilient-sustainable electricity supply chain network under uncertainty," Applied Energy, Elsevier, vol. 280(C).
    9. Jing, Rui & Xie, Mei Na & Wang, Feng Xiang & Chen, Long Xiang, 2020. "Fair P2P energy trading between residential and commercial multi-energy systems enabling integrated demand-side management," Applied Energy, Elsevier, vol. 262(C).
    10. Liu, Chang & Liu, Linlin & Zhang, Dayong & Fu, Jiasha, 2021. "How does the capital market respond to policy shocks? Evidence from listed solar photovoltaic companies in China," Energy Policy, Elsevier, vol. 151(C).
    11. Li, Jiaxin & Peng, Jiachao & Shuai, Chuanmin & Wang, Zihan & Huang, Fubin & Khayyam, Muhammad, 2022. "Does the solar PV program enhance the social empowerment of China's rural poor?," Energy, Elsevier, vol. 253(C).
    12. Chai, Song & Liu, Qiyun & Yang, Jin, 2023. "Renewable power generation policies in China: Policy instrument choices and influencing factors from the central and local government perspectives," Renewable and Sustainable Energy Reviews, Elsevier, vol. 174(C).
    13. Song, Yazhi & Liu, Tiansen & Ye, Bin & Li, Yin, 2020. "Linking carbon market and electricity market for promoting the grid parity of photovoltaic electricity in China," Energy, Elsevier, vol. 211(C).

  45. Zhen, Wei & Zhong, Zhangqi & Wang, Yichen & Miao, Lu & Qin, Quande & Wei, Yi-Ming, 2019. "Evolution of urban household indirect carbon emission responsibility from an inter-sectoral perspective: A case study of Guangdong, China," Energy Economics, Elsevier, vol. 83(C), pages 197-207.

    Cited by:

    1. Xu, Dongxiao & Zhang, Yan & Chen, Bin & Bai, Junhong & Liu, Gengyuan & Zhang, Boyu, 2022. "Identifying the critical paths and sectors for carbon transfers driven by global consumption in 2015," Applied Energy, Elsevier, vol. 306(PB).
    2. Ying Zhu & Tianhao Cui & Yanzheng Liu & Qin Zhou & Yexin Li, 2021. "Research on Inter-Provincial Transfer of CO 2 Emissions from Transportation by Considering Fuzzy Parameter," Sustainability, MDPI, vol. 13(13), pages 1-22, July.
    3. Mingyuan Guo & Yanfang Hu, 2020. "The Impact of Financial Development on Carbon Emission: Evidence from China," Sustainability, MDPI, vol. 12(17), pages 1-16, August.
    4. Yong Yang & Junsong Jia & Adam T. Devlin & Yangming Zhou & Dongming Xie & Min Ju, 2020. "Decoupling and Decomposition Analysis of Residential Energy Consumption from Economic Growth during 2000–2017: A Comparative Study of Urban and Rural Guangdong, China," Energies, MDPI, vol. 13(17), pages 1-21, August.
    5. Jinpeng Liu & Delin Wei, 2020. "Analysis and Measurement of Carbon Emission Aggregation and Spillover Effects in China: Based on a Sectoral Perspective," Sustainability, MDPI, vol. 12(21), pages 1-22, October.
    6. Wei Zhen & Quande Qin & Lei Jiang, 2022. "Heterogeneous Domestic Intermediate Input-Related Carbon Emissions in China’s Exports," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 81(3), pages 453-479, March.
    7. Wu, Liangpeng & Zhu, Qingyuan, 2023. "Has the Emissions Trading Scheme (ETS) promoted the end-of-pipe emissions reduction? Evidence from China's residents," Energy, Elsevier, vol. 277(C).

  46. Zhifu Mi & Hua Liao & D’Maris Coffman & Yi-Ming Wei, 2019. "Assessment of equity principles for international climate policy based on an integrated assessment model," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 95(1), pages 309-323, January.

    Cited by:

    1. Li, Mengyu & Duan, Maosheng, 2020. "Efforts-sharing to achieve the Paris goals: Ratcheting-up of NDCs and taking full advantage of international carbon market," Applied Energy, Elsevier, vol. 280(C).
    2. Jin, Gui & Shi, Xin & Zhang, Lei & Hu, Shougeng, 2020. "Measuring the SCCs of different Chinese regions under future scenarios," Renewable and Sustainable Energy Reviews, Elsevier, vol. 130(C).
    3. Bai, Muren & Li, Cunbin, 2024. "Research on the allocation scheme of carbon emission allowances for China's provincial power grids," Energy, Elsevier, vol. 299(C).
    4. Gebara, C.H. & Laurent, A., 2023. "National SDG-7 performance assessment to support achieving sustainable energy for all within planetary limits," Renewable and Sustainable Energy Reviews, Elsevier, vol. 173(C).
    5. Biying Yu & Zihao Zhao & Yi-Ming Wei & Lan-Cui Liu & Qingyu Zhao & Shuo Xu & Jia-Ning Kang & Hua Liao, 2023. "Approaching national climate targets in China considering the challenge of regional inequality," Nature Communications, Nature, vol. 14(1), pages 1-12, December.
    6. Yu Liu & Mingxi Du & Qi Cui & Jintai Lin & Yawen Liu & Qiuyu Liu & Dan Tong & Kuishuang Feng & Klaus Hubacek, 2022. "Contrasting suitability and ambition in regional carbon mitigation," Nature Communications, Nature, vol. 13(1), pages 1-9, December.

  47. Wei, Y. & Barradas-Berglind, J.J. & Yu, Z. & van Rooij, M. & Prins, W.A. & Jayawardhana, B. & Vakis, A.I., 2019. "Frequency-domain hydrodynamic modelling of dense and sparse arrays of wave energy converters," Renewable Energy, Elsevier, vol. 135(C), pages 775-788.

    Cited by:

    1. Simone Michele & Federica Buriani & Emiliano Renzi & Marijn van Rooij & Bayu Jayawardhana & Antonis I. Vakis, 2020. "Wave Energy Extraction by Flexible Floaters," Energies, MDPI, vol. 13(23), pages 1-24, November.
    2. Bechlenberg, Alva & Wei, Yanji & Jayawardhana, Bayu & Vakis, Antonis I., 2023. "Analysing the influence of power take-off adaptability on the power extraction of dense wave energy converter arrays," Renewable Energy, Elsevier, vol. 211(C), pages 1-12.

  48. Yi-Ming Wei & Biying Yu, 2019. "Editorial for the special issue: integrated assessment model analysis of climate change in China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 99(3), pages 1195-1196, December.

    Cited by:

    1. Jing Ma & Qin Ju & Yiheng Du & Yanli Liu & Guoqing Wang & Huanan Zeng & Zhenchun Hao, 2022. "Assessing precipitation variations in the Yangtze River Basin during 1979–2019 by vertically integrated moisture flux divergence," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 114(1), pages 971-987, October.

  49. Zhu, Bangzhu & Ye, Shunxin & Jiang, Minxing & Wang, Ping & Wu, Zhanchi & Xie, Rui & Chevallier, Julien & Wei, Yi-Ming, 2019. "Achieving the carbon intensity target of China: A least squares support vector machine with mixture kernel function approach," Applied Energy, Elsevier, vol. 233, pages 196-207.
    See citations under working paper version above.
  50. Qin, Quande & Xie, Kangqiang & He, Huangda & Li, Li & Chu, Xianghua & Wei, Yi-Ming & Wu, Teresa, 2019. "An effective and robust decomposition-ensemble energy price forecasting paradigm with local linear prediction," Energy Economics, Elsevier, vol. 83(C), pages 402-414.

    Cited by:

    1. Beltrán, Sergio & Castro, Alain & Irizar, Ion & Naveran, Gorka & Yeregui, Imanol, 2022. "Framework for collaborative intelligence in forecasting day-ahead electricity price," Applied Energy, Elsevier, vol. 306(PA).
    2. Stefano Frizzo Stefenon & Laio Oriel Seman & Viviana Cocco Mariani & Leandro dos Santos Coelho, 2023. "Aggregating Prophet and Seasonal Trend Decomposition for Time Series Forecasting of Italian Electricity Spot Prices," Energies, MDPI, vol. 16(3), pages 1-18, January.
    3. Saâdaoui, Foued & Ben Jabeur, Sami, 2023. "Analyzing the influence of geopolitical risks on European power prices using a multiresolution causal neural network," Energy Economics, Elsevier, vol. 124(C).
    4. Sun, Jie & Zhao, Xiaojun & Xu, Chao, 2021. "Crude oil market autocorrelation: Evidence from multiscale quantile regression analysis," Energy Economics, Elsevier, vol. 98(C).
    5. Haas, Christian & Budin, Constantin & d’Arcy, Anne, 2024. "How to select oil price prediction models — The effect of statistical and financial performance metrics and sentiment scores," Energy Economics, Elsevier, vol. 133(C).
    6. Jiang, Ping & Liu, Zhenkun & Wang, Jianzhou & Zhang, Lifang, 2021. "Decomposition-selection-ensemble forecasting system for energy futures price forecasting based on multi-objective version of chaos game optimization algorithm," Resources Policy, Elsevier, vol. 73(C).
    7. Qin Lu & Jingwen Liao & Kechi Chen & Yanhui Liang & Yu Lin, 2024. "Predicting Natural Gas Prices Based on a Novel Hybrid Model with Variational Mode Decomposition," Computational Economics, Springer;Society for Computational Economics, vol. 63(2), pages 639-678, February.

  51. Ke Wang & Zhifu Mi & Yi‐Ming Wei, 2019. "Will Pollution Taxes Improve Joint Ecological and Economic Efficiency of Thermal Power Industry in China?: A DEA‐Based Materials Balance Approach," Journal of Industrial Ecology, Yale University, vol. 23(2), pages 389-401, April.
    See citations under working paper version above.
  52. F Jiang & Y Ma & Y Wei, 2019. "Sufficient direction factor model and its application to gene expression quantitative trait loci discovery," Biometrika, Biometrika Trust, vol. 106(2), pages 417-432.

    Cited by:

    1. Seungchul Baek & Yen‐Yi Ho & Yanyuan Ma, 2020. "Using sufficient direction factor model to analyze latent activities associated with breast cancer survival," Biometrics, The International Biometric Society, vol. 76(4), pages 1340-1350, December.

  53. Yu, Shiwei & Li, Zhenxi & Wei, Yi-Ming & Liu, Lancui, 2019. "A real option model for geothermal heating investment decision making: Considering carbon trading and resource taxes," Energy, Elsevier, vol. 189(C).

    Cited by:

    1. Zhang, Yue-Jun & Wang, Wei, 2021. "How does China's carbon emissions trading (CET) policy affect the investment of CET-covered enterprises?," Energy Economics, Elsevier, vol. 98(C).
    2. Liu, Yue & Sun, Huaping & Meng, Bo & Jin, Shunlin & Chen, Bin, 2023. "How to purchase carbon emission right optimally for energy-consuming enterprises? Analysis based on optimal stopping model," Energy Economics, Elsevier, vol. 124(C).
    3. Dahlen, Niklas & Fehrenkötter, Rieke & Schreiter, Maximilian, 2024. "The new bond on the block — Designing a carbon-linked bond for sustainable investment projects," The Quarterly Review of Economics and Finance, Elsevier, vol. 95(C), pages 316-325.
    4. Zhou, Yuanqi & Yang, Jinqiang & Jia, Zhijie, 2023. "Optimizing energy efficiency investments in steel firms: A real options model considering carbon trading and tax cuts during challenging economic conditions," Resources Policy, Elsevier, vol. 85(PA).
    5. Chen, Zhuming & Chen, Can & Lin, Tao & Chen, Xiaoguo, 2021. "The dynamic investment and exit decisions of venture capitals," The North American Journal of Economics and Finance, Elsevier, vol. 55(C).
    6. Shuangyan Li & Anum Shahzadi & Mingbo Zheng & Chun-Ping Chang, 2022. "The impacts of executives’ political connections on interactions between firm’s mergers, acquisitions, and performance," Economic Change and Restructuring, Springer, vol. 55(2), pages 653-679, May.
    7. Yue Qi & Yue Wang, 2023. "Innovating and Pricing Carbon-Offset Options of Asian Styles on the Basis of Jump Diffusions and Fractal Brownian Motions," Mathematics, MDPI, vol. 11(16), pages 1-22, August.
    8. Liu, Haomin & Zhang, Zaixu & Zhang, Tao, 2022. "Shale gas investment decision-making: Green and efficient development under market, technology and environment uncertainties," Applied Energy, Elsevier, vol. 306(PA).

  54. Bangzhu Zhu & Runzhi Pang & Julien Chevallier & Yi-Ming Wei & Dinh-Tri Vo, 2019. "Including intangible costs into the cost-of-illness approach: a method refinement illustrated based on the PM2.5 economic burden in China," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 20(4), pages 501-511, June.
    See citations under working paper version above.
  55. Zhu, Bangzhu & Ye, Shunxin & Han, Dong & Wang, Ping & He, Kaijian & Wei, Yi-Ming & Xie, Rui, 2019. "A multiscale analysis for carbon price drivers," Energy Economics, Elsevier, vol. 78(C), pages 202-216.

    Cited by:

    1. Li, Zhimin & Pan, Yanchun & Yang, Wen & Ma, Jianhua & Zhou, Ming, 2021. "Effects of government subsidies on green technology investment and green marketing coordination of supply chain under the cap-and-trade mechanism," Energy Economics, Elsevier, vol. 101(C).
    2. Ouyang, Zisheng & Lu, Min & Lai, Yongzeng, 2023. "Forecasting stock index return and volatility based on GAVMD- Carbon-BiLSTM: How important is carbon emission trading?," Energy Economics, Elsevier, vol. 128(C).
    3. Uddin, Gazi Salah & Tang, Ou & Sahamkhadam, Maziar & Taghizadeh-Hesary, Farhad & Yahya, Muhammad & Cerin, Pontus & Rehme, Jakob, 2021. "Analysis of Forecasting Models in an Electricity Market under Volatility," ADBI Working Papers 1212, Asian Development Bank Institute.
    4. Chang, Kai & Ye, Zhifang & Wang, Weihong, 2019. "Volatility spillover effect and dynamic correlation between regional emissions allowances and fossil energy markets: New evidence from China’s emissions trading scheme pilots," Energy, Elsevier, vol. 185(C), pages 1314-1324.
    5. Liudmila Reshetnikova & Natalia Boldyreva & Anton Devyatkov & Zhanna Pisarenko & Danila Ovechkin, 2023. "Carbon Pricing in Current Global Institutional Changes," Sustainability, MDPI, vol. 15(4), pages 1-19, February.
    6. Wenjun Chu & Shanglei Chai & Xi Chen & Mo Du, 2020. "Does the Impact of Carbon Price Determinants Change with the Different Quantiles of Carbon Prices? Evidence from China ETS Pilots," Sustainability, MDPI, vol. 12(14), pages 1-19, July.
    7. Laurent Millischer & Tatiana Evdokimova & Oscar Fernandez, 2022. "The Carrot and the Stock: In Search of Stock-Market Incentives for Decarbonization," IMF Working Papers 2022/231, International Monetary Fund.
    8. Xiaohua Song & Wen Zhang & Zeqi Ge & Siqi Huang & Yamin Huang & Sijia Xiong, 2022. "A Study of the Influencing Factors on the Carbon Emission Trading Price in China Based on the Improved Gray Relational Analysis Model," Sustainability, MDPI, vol. 14(13), pages 1-27, June.
    9. Chai, Shanglei & Yang, Xiaoli & Zhang, Zhen & Abedin, Mohammad Zoynul & Lucey, Brian, 2022. "Regional imbalances of market efficiency in China’s pilot emission trading schemes (ETS): A multifractal perspective," Research in International Business and Finance, Elsevier, vol. 63(C).
    10. Yaqi Wu & Chen Zhang & Po Yun & Dandan Zhu & Wei Cao & Zulfiqar Ali Wagan, 2021. "Time–frequency analysis of the interaction mechanism between European carbon and crude oil markets," Energy & Environment, , vol. 32(7), pages 1331-1357, November.
    11. Ye, Jing & Xue, Minggao, 2021. "Influences of sentiment from news articles on EU carbon prices," Energy Economics, Elsevier, vol. 101(C).
    12. Wang, Xiong & Li, Jingyao & Ren, Xiaohang & Bu, Ruijun & Jawadi, Fredj, 2023. "Economic policy uncertainty and dynamic correlations in energy markets: Assessment and solutions," Energy Economics, Elsevier, vol. 117(C).
    13. Xiaolu Wei & Hongbing Ouyang, 2023. "Forecasting Carbon Price Using Double Shrinkage Methods," IJERPH, MDPI, vol. 20(2), pages 1-20, January.
    14. Dai, Xingyu & Xiao, Ling & Wang, Qunwei & Dhesi, Gurjeet, 2021. "Multiscale interplay of higher-order moments between the carbon and energy markets during Phase III of the EU ETS," Energy Policy, Elsevier, vol. 156(C).
    15. Xiaojian Su & Chao Deng, 2019. "The heterogeneous effects of exchange rate and stock market on CO2 emission allowance price in China: A panel quantile regression approach," PLOS ONE, Public Library of Science, vol. 14(8), pages 1-11, August.
    16. Yang, Boyu & Sun, Yuying & Wang, Shouyang, 2020. "A novel two-stage approach for cryptocurrency analysis," International Review of Financial Analysis, Elsevier, vol. 72(C).
    17. Wei, Yu & Zhang, Jiahao & Chen, Yongfei & Wang, Yizhi, 2022. "The impacts of El Niño-southern oscillation on renewable energy stock markets: Evidence from quantile perspective," Energy, Elsevier, vol. 260(C).
    18. Serda Selin Ozturk & Riza Demirer & Rangan Gupta, 2022. "Climate Uncertainty and Carbon Emissions Prices: The Relative Roles of Transition and Physical Climate Risks," Working Papers 202215, University of Pretoria, Department of Economics.
    19. Shaolong Zeng & Qinyi Fu & Danni Yang & Yihua Tian & Yang Yu, 2023. "The Influencing Factors of the Carbon Trading Price: A Case of China against a “Double Carbon” Background," Sustainability, MDPI, vol. 15(3), pages 1-24, January.
    20. Joao Leitao & Joaquim Ferreira & Ernesto Santibanez‐Gonzalez, 2021. "Green bonds, sustainable development and environmental policy in the European Union carbon market," Business Strategy and the Environment, Wiley Blackwell, vol. 30(4), pages 2077-2090, May.
    21. Li, Houjian & Li, Qingman & Huang, Xinya & Guo, Lili, 2023. "Do green bonds and economic policy uncertainty matter for carbon price? New insights from a TVP-VAR framework," International Review of Financial Analysis, Elsevier, vol. 86(C).
    22. Chun Jiang & Yi-Fan Wu & Xiao-Lin Li & Xin Li, 2020. "Time-frequency Connectedness between Coal Market Prices, New Energy Stock Prices and CO 2 Emissions Trading Prices in China," Sustainability, MDPI, vol. 12(7), pages 1-17, April.
    23. Duan, Kun & Ren, Xiaohang & Shi, Yukun & Mishra, Tapas & Yan, Cheng, 2021. "The marginal impacts of energy prices on carbon price variations: Evidence from a quantile-on-quantile approach," Energy Economics, Elsevier, vol. 95(C).
    24. Liu, Ying Lin & Zhang, Jing Jie & Fang, Yan, 2023. "The driving factors of China's carbon prices: Evidence from using ICEEMDAN-HC method and quantile regression," Finance Research Letters, Elsevier, vol. 54(C).
    25. Na Fu & Liyan Geng & Junhai Ma & Xue Ding, 2023. "Price, Complexity, and Mathematical Model," Mathematics, MDPI, vol. 11(13), pages 1-30, June.
    26. Hanif, Waqas & Arreola Hernandez, Jose & Mensi, Walid & Kang, Sang Hoon & Uddin, Gazi Salah & Yoon, Seong-Min, 2021. "Nonlinear dependence and connectedness between clean/renewable energy sector equity and European emission allowance prices," Energy Economics, Elsevier, vol. 101(C).
    27. Wang, Xiong & Li, Jingyao & Ren, Xiaohang, 2022. "Asymmetric causality of economic policy uncertainty and oil volatility index on time-varying nexus of the clean energy, carbon and green bond," International Review of Financial Analysis, Elsevier, vol. 83(C).
    28. Xu Gong & Mengjie Li & Keqin Guan & Chuanwang Sun, 2023. "Climate change attention and carbon futures return prediction," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 43(9), pages 1261-1288, September.
    29. Rundong Luo & Yan Li & Zhicheng Wang & Mengjiao Sun, 2022. "Co-Movement between Carbon Prices and Energy Prices in Time and Frequency Domains: A Wavelet-Based Analysis for Beijing Carbon Emission Trading System," IJERPH, MDPI, vol. 19(9), pages 1-15, April.
    30. Chen, Weidong & Xiong, Shi & Chen, Quanyu, 2022. "Characterizing the dynamic evolutionary behavior of multivariate price movement fluctuation in the carbon-fuel energy markets system from complex network perspective," Energy, Elsevier, vol. 239(PA).
    31. Chen, Linfei & Zhao, Xuefeng, 2024. "A multiscale and multivariable differentiated learning for carbon price forecasting," Energy Economics, Elsevier, vol. 131(C).
    32. Huang, Yumeng & Dai, Xingyu & Wang, Qunwei & Zhou, Dequn, 2021. "A hybrid model for carbon price forecastingusing GARCH and long short-term memory network," Applied Energy, Elsevier, vol. 285(C).
    33. Pakrooh, Parisa & Manera, Matteo, 2024. "Causality, Connectedness, and Volatility Pass-through among Energy-Metal-Stock-Carbon Markets: New Evidence from the EU," FEEM Working Papers 344790, Fondazione Eni Enrico Mattei (FEEM).
    34. Yue Xu & Dayu Zhai, 2022. "Impact of Changes in Membership on Prices of a Unified Carbon Market: Case Study of the European Union Emissions Trading System," Sustainability, MDPI, vol. 14(21), pages 1-16, October.
    35. Xie, Qiwei & Liu, Ranran & Qian, Tao & Li, Jingyu, 2021. "Linkages between the international crude oil market and the Chinese stock market: A BEKK-GARCH-AFD approach," Energy Economics, Elsevier, vol. 102(C).
    36. Su, Chi Wei & Wei, Shenkai & Wang, Yan & Tao, Ran, 2024. "How does climate policy uncertainty affect the carbon market?," Technological Forecasting and Social Change, Elsevier, vol. 200(C).
    37. Goodell, John W. & Nammouri, Hela & Saâdaoui, Foued & Ben Jabeur, Sami, 2023. "Carbon allowances amid climate change concerns: Fresh insights from wavelet multiscale analysis," Finance Research Letters, Elsevier, vol. 55(PA).
    38. Nazifi, Fatemeh & Trück, Stefan & Zhu, Liangxu, 2021. "Carbon pass-through rates on spot electricity prices in Australia," Energy Economics, Elsevier, vol. 96(C).
    39. Yanbin Li & Dan Nie & Bingkang Li & Xiyu Li, 2020. "The Spillover Effect between Carbon Emission Trading (CET) Price and Power Company Stock Price in China," Sustainability, MDPI, vol. 12(16), pages 1-17, August.
    40. Zhang, Wen & Wu, Zhibin & Zeng, Xiaojun & Zhu, Changhui, 2023. "An ensemble dynamic self-learning model for multiscale carbon price forecasting," Energy, Elsevier, vol. 263(PC).
    41. Hao, Xinyu & Sun, Wen & Zhang, Xiaoling, 2023. "How does a scarcer allowance remake the carbon market? An evolutionary game analysis from the perspective of stakeholders," Energy, Elsevier, vol. 280(C).
    42. Wang, Hao-ran & Feng, Tian-tian & Zhong, Cheng, 2023. "Effectiveness of CO2 cost pass-through to electricity prices under “electricity-carbon” market coupling in China," Energy, Elsevier, vol. 266(C).

  56. Xian, Yujiao & Wang, Ke & Wei, Yi-Ming & Huang, Zhimin, 2019. "Would China’s power industry benefit from nationwide carbon emission permit trading? An optimization model-based ex post analysis on abatement cost savings," Applied Energy, Elsevier, vol. 235(C), pages 978-986.

    Cited by:

    1. Kumar, Surender & Managi, Shunsuke & Jain, Rakesh Kumar, 2020. "CO2 mitigation policy for Indian thermal power sector: Potential gains from emission trading," Energy Economics, Elsevier, vol. 86(C).
    2. Kangkang Zhang & Deyi Xu & Shiran Li & Na Zhou & Jinhui Xiong, 2019. "Has China’s Pilot Emissions Trading Scheme Influenced the Carbon Intensity of Output?," IJERPH, MDPI, vol. 16(10), pages 1-18, May.
    3. Xian, Yujiao & Yu, Dan & Wang, Ke & Yu, Jian & Huang, Zhimin, 2022. "Capturing the least costly measure of CO2 emission abatement: Evidence from the iron and steel industry in China," Energy Economics, Elsevier, vol. 106(C).
    4. Kazeem Bello Ajide & Ekundayo Peter Mesagan, 2022. "Heterogeneous Analysis of Pollution Abatement via Renewable and Non-renewable Energy: Lessons from Investment in G20 Nations," Working Papers 22/017, European Xtramile Centre of African Studies (EXCAS).
    5. Liao, Haolan & Wu, Di & Wang, Yuhan & Lyu, Zeyu & Sun, Hongmei & Nie, Yongyou & He, He, 2022. "Impacts of carbon trading mechanism on closed-loop supply chain: A case study of stringer pallet remanufacturing," Socio-Economic Planning Sciences, Elsevier, vol. 81(C).
    6. Xu Wang & Xiang Su & Ke Bi, 2023. "Achieving Synergies of Carbon Emission Reduction, Cost Savings, and Asset Investments in China’s Industrial Sector: Towards Sustainable Practices," Sustainability, MDPI, vol. 15(14), pages 1-21, July.
    7. Xie, Bai-Chen & Ni, Kang-Kang & O'Neill, Eoghan & Li, Hong-Zhou, 2021. "The scale effect in China's power grid sector from the perspective of malmquist total factor productivity analysis," Utilities Policy, Elsevier, vol. 69(C).
    8. Tan, Xiujie & Sun, Qian & Wang, Meiji & Se Cheong, Tsun & Yan Shum, Wai & Huang, Jinpeng, 2022. "Assessing the effects of emissions trading systems on energy consumption and energy mix," Applied Energy, Elsevier, vol. 310(C).
    9. Lin, Boqiang & Jia, Zhijie, 2020. "Is emission trading scheme an opportunity for renewable energy in China? A perspective of ETS revenue redistributions," Applied Energy, Elsevier, vol. 263(C).
    10. Lin, Boqiang & Wesseh, Presley K., 2020. "On the economics of carbon pricing: Insights from econometric modeling with industry-level data," Energy Economics, Elsevier, vol. 86(C).
    11. Peishu Chen & Yu He & Kai Yue & Guochang Fang, 2023. "Can Carbon Trading Promote Low-Carbon Transformation of High Energy Consumption Enterprises?—The Case of China," Energies, MDPI, vol. 16(8), pages 1-18, April.
    12. Zhou, Bo & Zhang, Cheng & Wang, Qunwei & Zhou, Dequn, 2020. "Does emission trading lead to carbon leakage in China? Direction and channel identifications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 132(C).
    13. Qunli Wu & Hongjie Zhang, 2019. "Research on Optimization Allocation Scheme of Initial Carbon Emission Quota from the Perspective of Welfare Effect," Energies, MDPI, vol. 12(11), pages 1-27, June.
    14. Luyao Xu & Hui Sun, 2024. "Study on the Impact of Carbon Emission Trading Pilot on Green Land Use Efficiency in Cities," Land, MDPI, vol. 13(4), pages 1-21, April.
    15. Nguepi Tsafack Elvis & Hua Cheng & Buregeya Ingabire Providence, 2022. "The Illustrative Understanding on the Informal Sector and Its Influence in Firm Productivity in Sub-Saharan Africa (SSA): Evidence from Cameroon," Sustainability, MDPI, vol. 14(15), pages 1-22, August.
    16. Jiasha Fu & Fan Wang & Jin Guo, 2024. "Decoupling Economic Growth from Carbon Emissions in the Yangtze River Economic Belt of China: From the Coordinated Regional Development Perspective," Sustainability, MDPI, vol. 16(6), pages 1-24, March.
    17. Tseng, Chin-Yi & Lee, Chia-Yen & Wang, Qunwei & Wu, Changsong, 2022. "Data envelopment analysis and stochastic equilibrium analysis for market power investigation in a bi-level market," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 161(C).
    18. Yongrok Choi & Yunning Ma & Yu Zhao & Hyoungsuk Lee, 2023. "Inequality in Fossil Fuel Power Plants in China: A Perspective of Efficiency and Abatement Cost," Sustainability, MDPI, vol. 15(5), pages 1-15, March.
    19. Yongke Yuan & Yixing Wang & Yuanying Chi & Feng Jin, 2020. "Identification of Key Carbon Emission Sectors and Analysis of Emission Effects in China," Sustainability, MDPI, vol. 12(20), pages 1-19, October.
    20. Zhang, Wei & Li, Guoxiang & Guo, Fanyong, 2022. "Does carbon emissions trading promote green technology innovation in China?," Applied Energy, Elsevier, vol. 315(C).

  57. Tang, Bao-Jun & Wang, Xiang-Yu & Wei, Yi-Ming, 2019. "Quantities versus prices for best social welfare in carbon reduction: A literature review," Applied Energy, Elsevier, vol. 233, pages 554-564.

    Cited by:

    1. Johan Lilliestam & Anthony Patt & Germán Bersalli, 2021. "The effect of carbon pricing on technological change for full energy decarbonization: A review of empirical ex‐post evidence," Wiley Interdisciplinary Reviews: Climate Change, John Wiley & Sons, vol. 12(1), January.
    2. Yu-Jie Hu & Lishan Yang & Fali Duan & Honglei Wang & Chengjiang Li, 2022. "A Scientometric Analysis and Review of the Emissions Trading System," Energies, MDPI, vol. 15(12), pages 1-20, June.
    3. Scott, Ian J. & Botterud, Audun & Carvalho, Pedro M.S. & Silva, Carlos A. Santos, 2020. "Renewable energy support policy evaluation: The role of long-term uncertainty in market modelling," Applied Energy, Elsevier, vol. 278(C).
    4. Luca Di Corato & Yishay D. Maoz, 2022. "Externality Control and Endogenous Market Structure under Uncertainty: the Price vs. Quantity dilemma," Working Papers 2022: 13, Department of Economics, University of Venice "Ca' Foscari".
    5. Aimin Qian & Jingyan Li, 2024. "Effect of Appointed Directors on Corporate Carbon Emission Intensity: Evidence from Mixed-Ownership Reform in Chinese Private Industrial Enterprises," Sustainability, MDPI, vol. 16(13), pages 1-37, July.
    6. Julie Metta & Coline Metta-Versmessen & Valeria Alvarado, 2024. "Managing Municipal Solid Waste with low citizen involvement: the case of Hong Kong," Working Papers 2024.03, FAERE - French Association of Environmental and Resource Economists.
    7. Xiaowan Yang & Xiaoyu Guo & Yanan Wang, 2023. "Characteristics of Carbon Emission Transfer under Carbon Neutrality and Carbon Peaking Background and the Impact of Environmental Policies and Regulations on It," Sustainability, MDPI, vol. 15(9), pages 1-20, May.
    8. Bartolini, Andrea & Mazzoni, Stefano & Comodi, Gabriele & Romagnoli, Alessandro, 2021. "Impact of carbon pricing on distributed energy systems planning," Applied Energy, Elsevier, vol. 301(C).

  58. Ge Gao & Ke Wang & Chi Zhang & Yi-Ming Wei, 2019. "Synergistic effects of environmental regulations on carbon productivity growth in China’s major industrial sectors," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 95(1), pages 55-72, January.
    See citations under working paper version above.
  59. Tang, Bao-Jun & Li, Xiao-Yi & Yu, Biying & Wei, Yi-Ming, 2019. "Sustainable development pathway for intercity passenger transport: A case study of China," Applied Energy, Elsevier, vol. 254(C).

    Cited by:

    1. Yanming Sun & Yile Yang & Shixian Liu & Qingli Li, 2023. "Research on Transportation Carbon Emission Peak Prediction and Judgment System in China," Sustainability, MDPI, vol. 15(20), pages 1-17, October.
    2. Yu, Biying & Zhao, Zihao & Zhang, Shuai & An, Runying & Chen, Jingming & Li, Ru & Zhao, Guangpu, 2021. "Technological development pathway for a low-carbon primary aluminum industry in China," Technological Forecasting and Social Change, Elsevier, vol. 173(C).
    3. Mingxuan Lu & Peirong Chen, 2024. "Traffic Safety, Fuel Tax Intensity and Sustainable Development Efficiency of Transportation: Evidence from China," Sustainability, MDPI, vol. 16(14), pages 1-17, July.
    4. Wen, Yifan & Wu, Ruoxi & Zhou, Zihang & Zhang, Shaojun & Yang, Shengge & Wallington, Timothy J. & Shen, Wei & Tan, Qinwen & Deng, Ye & Wu, Ye, 2022. "A data-driven method of traffic emissions mapping with land use random forest models," Applied Energy, Elsevier, vol. 305(C).
    5. Feng, Xuesong & Tao, Zhibin & Shi, Ruolin, 2024. "The Spatiotemporal exploration of intercity transport energy efficiency in the mainland of China on the basis of improved stochastic frontier modelling," Renewable Energy, Elsevier, vol. 224(C).
    6. Jiewei Li & Ling Jin & Han Deng & Lin Yang, 2023. "Review on Decarbonizing the Transportation Sector in China: Overview, Analysis, and Perspectives," Papers 2310.00613, arXiv.org.
    7. Tao Li & Baoli Gong & Yong Peng & Jin Nie & Zheng Wang & Yiqi Chen & Guoquan Xie & Kui Wang & Honghao Zhang, 2023. "Analysis and Comparative Study of Signalized and Unsignalized Intersection Operations and Energy-Emission Characteristics Based on Real Vehicle Data," Energies, MDPI, vol. 16(17), pages 1-24, August.
    8. Biying Yu & Zihao Zhao & Yi-Ming Wei & Lan-Cui Liu & Qingyu Zhao & Shuo Xu & Jia-Ning Kang & Hua Liao, 2023. "Approaching national climate targets in China considering the challenge of regional inequality," Nature Communications, Nature, vol. 14(1), pages 1-12, December.
    9. Wang, Xiaoyang & Yu, Biying & An, Runying & Sun, Feihu & Xu, Shuo, 2022. "An integrated analysis of China’s iron and steel industry towards carbon neutrality," Applied Energy, Elsevier, vol. 322(C).
    10. Shuai Zhang & Xiaoman Zhao & Changwei Yuan & Xiu Wang, 2020. "Technological Bias and Its Influencing Factors in Sustainable Development of China’s Transportation," Sustainability, MDPI, vol. 12(14), pages 1-26, July.
    11. Yu, Biying & Tan, Jin-Xiao & Zhang, Shitong, 2024. "Uncertainties in the technological pathway towards low-carbon freight transport under carbon neutral target in China," Applied Energy, Elsevier, vol. 365(C).
    12. Skrúcaný Tomáš & Kendra Martin & Čechovič Tomáš & Majerník Filip & Pečman Jan, 2021. "Assessing the Energy Intensity and Greenhouse Gas Emissions of the Traffic Services in a Selected Region," LOGI – Scientific Journal on Transport and Logistics, Sciendo, vol. 12(1), pages 25-35, May.
    13. Lv, Fei & Wu, Qiong & Ren, Hongbo & Zhou, Weisheng & Li, Qifen, 2024. "On the design and analysis of long-term low-carbon roadmaps: A review and evaluation of available energy-economy-environment models," Renewable and Sustainable Energy Reviews, Elsevier, vol. 189(PA).
    14. Yanming Sun & Shixian Liu & Lei Li, 2022. "Grey Correlation Analysis of Transportation Carbon Emissions under the Background of Carbon Peak and Carbon Neutrality," Energies, MDPI, vol. 15(9), pages 1-24, April.

  60. Jing-Ming Chen & Biying Yu & Yi-Ming Wei, 2019. "CO2 emissions accounting for the chemical industry: an empirical analysis for China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 99(3), pages 1327-1343, December.

    Cited by:

    1. Anna Christy & Marwa Elnahass & Jaime Amezaga & Anthony Browne & Oliver Heidrich, 2024. "A dynamic framework to align company climate reporting and action with global climate targets," Business Strategy and the Environment, Wiley Blackwell, vol. 33(4), pages 3103-3128, May.

  61. Jiaquan Li & Zhifu Mi & Yi-Ming Wei & Jingli Fan & Yang Yang & Yunbing Hou, 2019. "Flexible options to provide energy for capturing carbon dioxide in coal-fired power plants under the Clean Development Mechanism," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 24(8), pages 1483-1505, December.

    Cited by:

    1. Kang, Jia-Ning & Wei, Yi-Ming & Liu, Lan-cui & Yu, Bi-Ying & Liao, Hua, 2021. "A social learning approach to carbon capture and storage demonstration project management: An empirical analysis," Applied Energy, Elsevier, vol. 299(C).
    2. Bin Xu & Boqiang Lin, 2021. "Large fluctuations of China's commodity prices: Main sources and heterogeneous effects," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(2), pages 2074-2089, April.

  62. Bangzhu Zhu & Shujiao Ma & Rui Xie & Julien Chevallier & Yi-Ming Wei, 2018. "Erratum to: Hilbert Spectra and Empirical Mode Decomposition: A Multiscale Event Analysis Method to Detect the Impact of Economic Crises on the European Carbon Market," Computational Economics, Springer;Society for Computational Economics, vol. 52(1), pages 123-123, June.

    Cited by:

    1. Yaqi Wu & Chen Zhang & Po Yun & Dandan Zhu & Wei Cao & Zulfiqar Ali Wagan, 2021. "Time–frequency analysis of the interaction mechanism between European carbon and crude oil markets," Energy & Environment, , vol. 32(7), pages 1331-1357, November.
    2. Zhigui Guan & Yuanjun Zhao & Guojing Geng, 2022. "The Risk Early-Warning Model of Financial Operation in Family Farms Based on Back Propagation Neural Network Methods," Computational Economics, Springer;Society for Computational Economics, vol. 60(4), pages 1221-1244, December.
    3. Christos Alexakis & Michael Dowling & Konstantinos Eleftheriou & Michael Polemis, 2021. "Textual Machine Learning: An Application to Computational Economics Research," Post-Print hal-03182910, HAL.
    4. Zhu, Bangzhu & Huang, Liqing & Yuan, Lili & Ye, Shunxin & Wang, Ping, 2020. "Exploring the risk spillover effects between carbon market and electricity market: A bidimensional empirical mode decomposition based conditional value at risk approach," International Review of Economics & Finance, Elsevier, vol. 67(C), pages 163-175.
    5. Xueqing Kang & Farman Ullah Khan & Raza Ullah & Muhammad Arif & Shams Ur Rehman & Farid Ullah, 2021. "Does Foreign Direct Investment Influence Renewable Energy Consumption? Empirical Evidence from South Asian Countries," Energies, MDPI, vol. 14(12), pages 1-15, June.
    6. Zhang, Dingxuan & Sun, Yuying & Duan, Hongbo & Hong, Yongmiao & Wang, Shouyang, 2023. "Speculation or currency? Multi-scale analysis of cryptocurrencies—The case of Bitcoin," International Review of Financial Analysis, Elsevier, vol. 88(C).
    7. Helong Li & Guanglong Xu & Qin Huang & Rubin Ruan & Weiguo Zhang, 2024. "COVID-19 Impact on Stock Markets: A Multiscale Event Analysis Perspective," Computational Economics, Springer;Society for Computational Economics, vol. 63(3), pages 1191-1212, March.
    8. Kai Wu & E Bai & Hejie Zhu & Zhijiang Lu & Hongxin Zhu, 2023. "Can Green Credit Policy Promote the High-Quality Development of China’s Heavily-Polluting Enterprises?," Sustainability, MDPI, vol. 15(11), pages 1-27, May.
    9. Zhao, Yuhuan & Shi, Qiaoling & li, Hao & Qian, Zhiling & Zheng, Lu & Wang, Song & He, Yizhang, 2022. "Simulating the economic and environmental effects of integrated policies in energy-carbon-water nexus of China," Energy, Elsevier, vol. 238(PA).
    10. Bashir Muhammad & Sher Khan, 2021. "Understanding the relationship between natural resources, renewable energy consumption, economic factors, globalization and CO2 emissions in developed and developing countries," Natural Resources Forum, Blackwell Publishing, vol. 45(2), pages 138-156, May.

  63. An, Runying & Yu, Biying & Li, Ru & Wei, Yi-Ming, 2018. "Potential of energy savings and CO2 emission reduction in China’s iron and steel industry," Applied Energy, Elsevier, vol. 226(C), pages 862-880.

    Cited by:

    1. Elshkaki, Ayman, 2019. "Material-energy-water-carbon nexus in China’s electricity generation system up to 2050," Energy, Elsevier, vol. 189(C).
    2. Li, Xi & Yu, Biying, 2019. "Peaking CO2 emissions for China's urban passenger transport sector," Energy Policy, Elsevier, vol. 133(C).
    3. Zhou, Yang & Han, Jingcheng & Zhou, Ya, 2024. "Synergizing carbon trading and water management for urban sustainability: A city-level multi-objective planning framework," Applied Energy, Elsevier, vol. 359(C).
    4. Yang, Honghua & Ma, Linwei & Li, Zheng, 2023. "Tracing China's steel use from steel flows in the production system to steel footprints in the consumption system," Renewable and Sustainable Energy Reviews, Elsevier, vol. 172(C).
    5. Yu, Biying & Zhao, Zihao & Zhang, Shuai & An, Runying & Chen, Jingming & Li, Ru & Zhao, Guangpu, 2021. "Technological development pathway for a low-carbon primary aluminum industry in China," Technological Forecasting and Social Change, Elsevier, vol. 173(C).
    6. Biying Yu & Guangpu Zhao & Runying An, 2019. "Framing the picture of energy consumption in China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 99(3), pages 1469-1490, December.
    7. Yue, Hui & Worrell, Ernst & Crijns-Graus, Wina, 2021. "Impacts of regional industrial electricity savings on the development of future coal capacity per electricity grid and related air pollution emissions – A case study for China," Applied Energy, Elsevier, vol. 282(PB).
    8. Jie, Dingfei & Xu, Xiangyang & Guo, Fei, 2021. "The future of coal supply in China based on non-fossil energy development and carbon price strategies," Energy, Elsevier, vol. 220(C).
    9. Doh Dinga, Christian & Wen, Zongguo, 2021. "Many-objective optimization of energy conservation and emission reduction in China’s cement industry," Applied Energy, Elsevier, vol. 304(C).
    10. Ren, Lei & Zhou, Sheng & Peng, Tianduo & Ou, Xunmin, 2021. "A review of CO2 emissions reduction technologies and low-carbon development in the iron and steel industry focusing on China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 143(C).
    11. Wu, Dongling & Zhou, Ping & Zhou, Chenn Q., 2019. "Evaluation of pulverized coal utilization in a blast furnace by numerical simulation and grey relational analysis," Applied Energy, Elsevier, vol. 250(C), pages 1686-1695.
    12. Xu, Feng & Li, Xiaodong & Yang, Zhihan & Zhu, Chen, 2024. "Spatiotemporal characteristics and driving factor analysis of embodied CO2 emissions in China's building sector," Energy Policy, Elsevier, vol. 188(C).
    13. Zhang, Xuan-Kai & He, Ya-Ling & Li, Meng-Jie & Hu, Xin, 2022. "The study of heat-mass transfer characteristics and multi-objective optimization on electric arc furnace," Applied Energy, Elsevier, vol. 317(C).
    14. Yang Lipo & Liu Yunpeng & Hou Yingwu & Zhang Yongshun, 2022. "Cascade relationship between flow field characteristics and smoke emissions in the industrial reheating furnace [Analysis of slab heating characteristics in a reheating furnace, energy convers]," International Journal of Low-Carbon Technologies, Oxford University Press, vol. 17, pages 308-320.
    15. Sun, Jingchao & Na, Hongming & Yan, Tianyi & Qiu, Ziyang & Yuan, Yuxing & He, Jianfei & Li, Yingnan & Wang, Yisong & Du, Tao, 2021. "A comprehensive assessment on material, exergy and emission networks for the integrated iron and steel industry," Energy, Elsevier, vol. 235(C).
    16. Wang, Huan & Chen, Wenying, 2019. "Modelling deep decarbonization of industrial energy consumption under 2-degree target: Comparing China, India and Western Europe," Applied Energy, Elsevier, vol. 238(C), pages 1563-1572.
    17. Jiao, Kexin & Feng, Guangxiang & Zhang, Jianliang & Wang, Cui & Zhang, Lei, 2023. "Effect of multi-component gases on the behavior and mechanism of carbon deposition in hydrogen-rich blast furnaces," Energy, Elsevier, vol. 263(PA).
    18. Lin, Boqiang & Xu, Mengmeng, 2019. "Good subsidies or bad subsidies? Evidence from low-carbon transition in China's metallurgical industry," Energy Economics, Elsevier, vol. 83(C), pages 52-60.
    19. Tingru Yang & Wenling Liu, 2019. "Health Effects of Energy Intensive Sectors and the Potential Health Co-Benefits of a Low Carbon Industrial Transition in China," IJERPH, MDPI, vol. 16(17), pages 1-18, August.
    20. Li, Yibo & Li, Juan & Sun, Mei & Guo, Yanzi & Cheng, Faxin & Gao, Cuixia, 2024. "Analysis of carbon neutrality technology path selection in the steel industry under policy incentives," Energy, Elsevier, vol. 292(C).
    21. Tang, Bao-Jun & Guo, Yang-Yang & Yu, Biying & Harvey, L.D. Danny, 2021. "Pathways for decarbonizing China’s building sector under global warming thresholds," Applied Energy, Elsevier, vol. 298(C).
    22. Gong, Xuzhong & Zhang, Tong & Zhang, Junqiang & Wang, Zhi & Liu, Junhao & Cao, Jianwei & Wang, Chuan, 2022. "Recycling and utilization of calcium carbide slag - current status and new opportunities," Renewable and Sustainable Energy Reviews, Elsevier, vol. 159(C).
    23. Vögele, Stefan & Grajewski, Matthias & Govorukha, Kristina & Rübbelke, Dirk, 2020. "Challenges for the European steel industry: Analysis, possible consequences and impacts on sustainable development," Applied Energy, Elsevier, vol. 264(C).
    24. Zhuo, Yuting & Shen, Yansong, 2020. "Three-dimensional transient modelling of coal and coke co-combustion in the dynamic raceway of ironmaking blast furnaces," Applied Energy, Elsevier, vol. 261(C).
    25. Jing-Ming Chen & Biying Yu & Yi-Ming Wei, 2019. "CO2 emissions accounting for the chemical industry: an empirical analysis for China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 99(3), pages 1327-1343, December.
    26. Fan, Jing-Li & Da, Ya-Bin & Wan, Si-Lai & Zhang, Mian & Cao, Zhe & Wang, Yu & Zhang, Xian, 2019. "Determinants of carbon emissions in ‘Belt and Road initiative’ countries: A production technology perspective," Applied Energy, Elsevier, vol. 239(C), pages 268-279.
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    29. Fang Wan & Jizu Li & Yunfei Han & Xilong Yao, 2024. "Research of the Impact of Hydrogen Metallurgy Technology on the Reduction of the Chinese Steel Industry’s Carbon Dioxide Emissions," Sustainability, MDPI, vol. 16(5), pages 1-24, February.
    30. Sun, Jingchao & Na, Hongming & Yan, Tianyi & Che, Zichang & Qiu, Ziyang & Yuan, Yuxing & Li, Yingnan & Du, Tao & Song, Yanli & Fang, Xin, 2022. "Cost-benefit assessment of manufacturing system using comprehensive value flow analysis," Applied Energy, Elsevier, vol. 310(C).
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    1. Zhineng Hu & Jing Ma & Liangwei Yang & Xiaoping Li & Meng Pang, 2019. "Decomposition-Based Dynamic Adaptive Combination Forecasting for Monthly Electricity Demand," Sustainability, MDPI, vol. 11(5), pages 1-25, February.
    2. Trull, Oscar & García-Díaz, J. Carlos & Troncoso, Alicia, 2021. "One-day-ahead electricity demand forecasting in holidays using discrete-interval moving seasonalities," Energy, Elsevier, vol. 231(C).
    3. Guo‐Feng Fan & Yan‐Hui Guo & Jia‐Mei Zheng & Wei‐Chiang Hong, 2020. "A generalized regression model based on hybrid empirical mode decomposition and support vector regression with back‐propagation neural network for mid‐short‐term load forecasting," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 39(5), pages 737-756, August.
    4. Yi Yang & Zhihao Shang & Yao Chen & Yanhua Chen, 2020. "Multi-Objective Particle Swarm Optimization Algorithm for Multi-Step Electric Load Forecasting," Energies, MDPI, vol. 13(3), pages 1-19, January.
    5. Pin Li & Jinsuo Zhang, 2019. "Is China’s Energy Supply Sustainable? New Research Model Based on the Exponential Smoothing and GM(1,1) Methods," Energies, MDPI, vol. 12(2), pages 1-30, January.
    6. Pavlos Nikolaidis & Harris Partaourides, 2021. "A Model Predictive Control for the Dynamical Forecast of Operating Reserves in Frequency Regulation Services," Forecasting, MDPI, vol. 3(1), pages 1-14, March.
    7. Talaat, M. & Farahat, M.A. & Mansour, Noura & Hatata, A.Y., 2020. "Load forecasting based on grasshopper optimization and a multilayer feed-forward neural network using regressive approach," Energy, Elsevier, vol. 196(C).
    8. Laiqing Yan & Zutai Yan & Zhenwen Li & Ning Ma & Ran Li & Jian Qin, 2023. "Electricity Market Price Prediction Based on Quadratic Hybrid Decomposition and THPO Algorithm," Energies, MDPI, vol. 16(13), pages 1-18, July.
    9. Heydari, Azim & Majidi Nezhad, Meysam & Pirshayan, Elmira & Astiaso Garcia, Davide & Keynia, Farshid & De Santoli, Livio, 2020. "Short-term electricity price and load forecasting in isolated power grids based on composite neural network and gravitational search optimization algorithm," Applied Energy, Elsevier, vol. 277(C).
    10. Ribeiro, Matheus Henrique Dal Molin & da Silva, Ramon Gomes & Ribeiro, Gabriel Trierweiler & Mariani, Viviana Cocco & Coelho, Leandro dos Santos, 2023. "Cooperative ensemble learning model improves electric short-term load forecasting," Chaos, Solitons & Fractals, Elsevier, vol. 166(C).
    11. Liu, Che & Sun, Bo & Zhang, Chenghui & Li, Fan, 2020. "A hybrid prediction model for residential electricity consumption using holt-winters and extreme learning machine," Applied Energy, Elsevier, vol. 275(C).
    12. Zhao, Zhenyu & Zhang, Yao & Yang, Yujia & Yuan, Shuguang, 2022. "Load forecasting via Grey Model-Least Squares Support Vector Machine model and spatial-temporal distribution of electric consumption intensity," Energy, Elsevier, vol. 255(C).
    13. Sulandari, Winita & Subanar, & Lee, Muhammad Hisyam & Rodrigues, Paulo Canas, 2020. "Indonesian electricity load forecasting using singular spectrum analysis, fuzzy systems and neural networks," Energy, Elsevier, vol. 190(C).
    14. Petropoulos, Fotios & Apiletti, Daniele & Assimakopoulos, Vassilios & Babai, Mohamed Zied & Barrow, Devon K. & Ben Taieb, Souhaib & Bergmeir, Christoph & Bessa, Ricardo J. & Bijak, Jakub & Boylan, Joh, 2022. "Forecasting: theory and practice," International Journal of Forecasting, Elsevier, vol. 38(3), pages 705-871.
      • Fotios Petropoulos & Daniele Apiletti & Vassilios Assimakopoulos & Mohamed Zied Babai & Devon K. Barrow & Souhaib Ben Taieb & Christoph Bergmeir & Ricardo J. Bessa & Jakub Bijak & John E. Boylan & Jet, 2020. "Forecasting: theory and practice," Papers 2012.03854, arXiv.org, revised Jan 2022.
    15. Barja-Martinez, Sara & Aragüés-Peñalba, Mònica & Munné-Collado, Íngrid & Lloret-Gallego, Pau & Bullich-Massagué, Eduard & Villafafila-Robles, Roberto, 2021. "Artificial intelligence techniques for enabling Big Data services in distribution networks: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 150(C).
    16. Jiaan Zhang & Chenyu Liu & Leijiao Ge, 2022. "Short-Term Load Forecasting Model of Electric Vehicle Charging Load Based on MCCNN-TCN," Energies, MDPI, vol. 15(7), pages 1-25, April.
    17. Kong, Xiangyu & Li, Chuang & Wang, Chengshan & Zhang, Yusen & Zhang, Jian, 2020. "Short-term electrical load forecasting based on error correction using dynamic mode decomposition," Applied Energy, Elsevier, vol. 261(C).
    18. Hafeez, Ghulam & Alimgeer, Khurram Saleem & Khan, Imran, 2020. "Electric load forecasting based on deep learning and optimized by heuristic algorithm in smart grid," Applied Energy, Elsevier, vol. 269(C).
    19. Lai, Changzhi & Wang, Yu & Fan, Kai & Cai, Qilin & Ye, Qing & Pang, Haoqiang & Wu, Xi, 2022. "An improved forecasting model of short-term electric load of papermaking enterprises for production line optimization," Energy, Elsevier, vol. 245(C).
    20. Li, Yiyan & Zhang, Si & Hu, Rongxing & Lu, Ning, 2021. "A meta-learning based distribution system load forecasting model selection framework," Applied Energy, Elsevier, vol. 294(C).
    21. Chuanhui Zuo & Jialong Wang & Mingping Liu & Suhui Deng & Qingnian Wang, 2023. "An Ensemble Framework for Short-Term Load Forecasting Based on TimesNet and TCN," Energies, MDPI, vol. 16(14), pages 1-17, July.
    22. Zhang, Jinliang & Siya, Wang & Zhongfu, Tan & Anli, Sun, 2023. "An improved hybrid model for short term power load prediction," Energy, Elsevier, vol. 268(C).
    23. Laib, Oussama & Khadir, Mohamed Tarek & Mihaylova, Lyudmila, 2019. "Toward efficient energy systems based on natural gas consumption prediction with LSTM Recurrent Neural Networks," Energy, Elsevier, vol. 177(C), pages 530-542.
    24. Fanidhar Dewangan & Almoataz Y. Abdelaziz & Monalisa Biswal, 2023. "Load Forecasting Models in Smart Grid Using Smart Meter Information: A Review," Energies, MDPI, vol. 16(3), pages 1-55, January.
    25. Qiangqiang Cheng & Yiqi Yan & Shichao Liu & Chunsheng Yang & Hicham Chaoui & Mohamad Alzayed, 2020. "Particle Filter-Based Electricity Load Prediction for Grid-Connected Microgrid Day-Ahead Scheduling," Energies, MDPI, vol. 13(24), pages 1-15, December.
    26. Akbal, Yıldırım & Ünlü, Kamil Demirberk, 2022. "A univariate time series methodology based on sequence-to-sequence learning for short to midterm wind power production," Renewable Energy, Elsevier, vol. 200(C), pages 832-844.
    27. Heni Boubaker & Nawres Bannour, 2023. "Coupling the Empirical Wavelet and the Neural Network Methods in Order to Forecast Electricity Price," JRFM, MDPI, vol. 16(4), pages 1-22, April.
    28. Huang, Yanmei & Hasan, Najmul & Deng, Changrui & Bao, Yukun, 2022. "Multivariate empirical mode decomposition based hybrid model for day-ahead peak load forecasting," Energy, Elsevier, vol. 239(PC).
    29. Xie, Yiwei & Hu, Pingfang & Zhu, Na & Lei, Fei & Xing, Lu & Xu, Linghong & Sun, Qiming, 2020. "A hybrid short-term load forecasting model and its application in ground source heat pump with cooling storage system," Renewable Energy, Elsevier, vol. 161(C), pages 1244-1259.
    30. Wang, Chong & Ju, Ping & Wu, Feng & Lei, Shunbo & Hou, Yunhe, 2021. "Coordinated scheduling of integrated power and gas grids in consideration of gas flow dynamics," Energy, Elsevier, vol. 220(C).
    31. Kailai Ni & Jianzhou Wang & Guangyu Tang & Danxiang Wei, 2019. "Research and Application of a Novel Hybrid Model Based on a Deep Neural Network for Electricity Load Forecasting: A Case Study in Australia," Energies, MDPI, vol. 12(13), pages 1-30, June.
    32. Yang, Dongchuan & Guo, Ju-e & Sun, Shaolong & Han, Jing & Wang, Shouyang, 2022. "An interval decomposition-ensemble approach with data-characteristic-driven reconstruction for short-term load forecasting," Applied Energy, Elsevier, vol. 306(PA).
    33. Zhineng Hu & Jing Ma & Liangwei Yang & Liming Yao & Meng Pang, 2019. "Monthly electricity demand forecasting using empirical mode decomposition-based state space model," Energy & Environment, , vol. 30(7), pages 1236-1254, November.
    34. Namrye Son, 2021. "Comparison of the Deep Learning Performance for Short-Term Power Load Forecasting," Sustainability, MDPI, vol. 13(22), pages 1-25, November.
    35. Wu, Han & Liang, Yan & Heng, Jiani, 2023. "Pulse-diagnosis-inspired multi-feature extraction deep network for short-term electricity load forecasting," Applied Energy, Elsevier, vol. 339(C).
    36. Tavassoli-Hojati, Z. & Ghaderi, S.F. & Iranmanesh, H. & Hilber, P. & Shayesteh, E., 2020. "A self-partitioning local neuro fuzzy model for short-term load forecasting in smart grids," Energy, Elsevier, vol. 199(C).
    37. Wu, Jinran & Cui, Zhesen & Chen, Yanyan & Kong, Demeng & Wang, You-Gan, 2019. "A new hybrid model to predict the electrical load in five states of Australia," Energy, Elsevier, vol. 166(C), pages 598-609.
    38. Omar Jouma El-Hafez & Tarek Y. ElMekkawy & Mohamed Kharbeche & Ahmed Massoud, 2022. "Impact of COVID-19 Pandemic on Qatar Electricity Demand and Load Forecasting: Preparedness of Distribution Networks for Emerging Situations," Sustainability, MDPI, vol. 14(15), pages 1-13, July.
    39. Niu, Dongxiao & Ji, Zhengsen & Li, Wanying & Xu, Xiaomin & Liu, Da, 2021. "Research and application of a hybrid model for mid-term power demand forecasting based on secondary decomposition and interval optimization," Energy, Elsevier, vol. 234(C).
    40. Yukta Mehta & Rui Xu & Benjamin Lim & Jane Wu & Jerry Gao, 2023. "A Review for Green Energy Machine Learning and AI Services," Energies, MDPI, vol. 16(15), pages 1-30, July.
    41. Hu, Yusha & Li, Jigeng & Hong, Mengna & Ren, Jingzheng & Lin, Ruojue & Liu, Yue & Liu, Mengru & Man, Yi, 2019. "Short term electric load forecasting model and its verification for process industrial enterprises based on hybrid GA-PSO-BPNN algorithm—A case study of papermaking process," Energy, Elsevier, vol. 170(C), pages 1215-1227.
    42. Massimiliano Giacalone, 2022. "Optimal forecasting accuracy using Lp-norm combination," METRON, Springer;Sapienza Università di Roma, vol. 80(2), pages 187-230, August.
    43. Somu, Nivethitha & M R, Gauthama Raman & Ramamritham, Krithi, 2020. "A hybrid model for building energy consumption forecasting using long short term memory networks," Applied Energy, Elsevier, vol. 261(C).
    44. Richard Bean, 2023. "Forecasting the Monash Microgrid for the IEEE-CIS Technical Challenge," Energies, MDPI, vol. 16(3), pages 1-23, January.
    45. Jiarong Shi & Zhiteng Wang, 2022. "A Hybrid Forecast Model for Household Electric Power by Fusing Landmark-Based Spectral Clustering and Deep Learning," Sustainability, MDPI, vol. 14(15), pages 1-21, July.
    46. Wang, Jianzhou & Xing, Qianyi & Zeng, Bo & Zhao, Weigang, 2022. "An ensemble forecasting system for short-term power load based on multi-objective optimizer and fuzzy granulation," Applied Energy, Elsevier, vol. 327(C).
    47. Fan, Guo-Feng & Yu, Meng & Dong, Song-Qiao & Yeh, Yi-Hsuan & Hong, Wei-Chiang, 2021. "Forecasting short-term electricity load using hybrid support vector regression with grey catastrophe and random forest modeling," Utilities Policy, Elsevier, vol. 73(C).
    48. Md Jamal Ahmed Shohan & Md Omar Faruque & Simon Y. Foo, 2022. "Forecasting of Electric Load Using a Hybrid LSTM-Neural Prophet Model," Energies, MDPI, vol. 15(6), pages 1-18, March.
    49. Fu, Xin & Zeng, Xiao-Jun & Feng, Pengpeng & Cai, Xiuwen, 2018. "Clustering-based short-term load forecasting for residential electricity under the increasing-block pricing tariffs in China," Energy, Elsevier, vol. 165(PB), pages 76-89.
    50. Faisal Saeed & Anand Paul & Hyuncheol Seo, 2022. "A Hybrid Channel-Communication-Enabled CNN-LSTM Model for Electricity Load Forecasting," Energies, MDPI, vol. 15(6), pages 1-17, March.
    51. Li, Fengyun & Zheng, Haofeng & Li, Xingmei & Yang, Fei, 2021. "Day-ahead city natural gas load forecasting based on decomposition-fusion technique and diversified ensemble learning model," Applied Energy, Elsevier, vol. 303(C).
    52. Yin, Chen & Mao, Shuhua, 2023. "Fractional multivariate grey Bernoulli model combined with improved grey wolf algorithm: Application in short-term power load forecasting," Energy, Elsevier, vol. 269(C).
    53. Hany Habbak & Mohamed Mahmoud & Khaled Metwally & Mostafa M. Fouda & Mohamed I. Ibrahem, 2023. "Load Forecasting Techniques and Their Applications in Smart Grids," Energies, MDPI, vol. 16(3), pages 1-33, February.
    54. María Carmen Ruiz-Abellón & Luis Alfredo Fernández-Jiménez & Antonio Guillamón & Alberto Falces & Ana García-Garre & Antonio Gabaldón, 2019. "Integration of Demand Response and Short-Term Forecasting for the Management of Prosumers’ Demand and Generation," Energies, MDPI, vol. 13(1), pages 1-31, December.
    55. Rafati, Amir & Joorabian, Mahmood & Mashhour, Elaheh, 2020. "An efficient hour-ahead electrical load forecasting method based on innovative features," Energy, Elsevier, vol. 201(C).
    56. Liu, Jiefeng & Zhang, Zhenhao & Fan, Xianhao & Zhang, Yiyi & Wang, Jiaqi & Zhou, Ke & Liang, Shuo & Yu, Xiaoyong & Zhang, Wei, 2022. "Power system load forecasting using mobility optimization and multi-task learning in COVID-19," Applied Energy, Elsevier, vol. 310(C).
    57. Li, Lechen & Meinrenken, Christoph J. & Modi, Vijay & Culligan, Patricia J., 2021. "Short-term apartment-level load forecasting using a modified neural network with selected auto-regressive features," Applied Energy, Elsevier, vol. 287(C).
    58. Ma, Yixiang & Yu, Lean & Zhang, Guoxing, 2022. "Short-term wind power forecasting with an intermittency-trait-driven methodology," Renewable Energy, Elsevier, vol. 198(C), pages 872-883.
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  65. Jiang, Minxing & Zhu, Bangzhu & Wei, Yi-Ming & Chevallier, Julien & He, Kaijian, 2018. "An intertemporal carbon emissions trading system with cap adjustment and path control," Energy Policy, Elsevier, vol. 122(C), pages 152-161.
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  66. Wang, Bing & Wang, Qian & Wei, Yi-Ming & Li, Zhi-Ping, 2018. "Role of renewable energy in China’s energy security and climate change mitigation: An index decomposition analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 90(C), pages 187-194.

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    3. Li, He & Liu, Pan & Guo, Shenglian & Zuo, Qiting & Cheng, Lei & Tao, Jie & Huang, Kangdi & Yang, Zhikai & Han, Dongyang & Ming, Bo, 2022. "Integrating teleconnection factors into long-term complementary operating rules for hybrid power systems: A case study of Longyangxia hydro-photovoltaic plant in China," Renewable Energy, Elsevier, vol. 186(C), pages 517-534.
    4. Li, Wanying & Ji, Zhengsen & Dong, Fugui & Yang, Yugui, 2024. "Evaluation of provincial renewable energy generation efficiency and spatio-temporal heterogeneity of influencing factors in China," Renewable Energy, Elsevier, vol. 226(C).
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    6. Tomas Baležentis & Dalia Štreimikienė, 2019. "Sustainability in the Electricity Sector through Advanced Technologies: Energy Mix Transition and Smart Grid Technology in China," Energies, MDPI, vol. 12(6), pages 1-21, March.
    7. Lin, Yuanxiong & Anser, Muhammad Khalid & Peng, Michael Yao-Ping & Irfan, Muhammad, 2023. "Assessment of renewable energy, financial growth and in accomplishing targets of China's cities carbon neutrality," Renewable Energy, Elsevier, vol. 205(C), pages 1082-1091.
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    10. Fan, Yi & Chang, Tsangyao & Ranjbar, Omid, 2024. "Analyzing the degree persistence of shocks to energy security of the G7 countries: Evidence using panel SPSM-quantile unit root test," Economic Analysis and Policy, Elsevier, vol. 82(C), pages 389-399.
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    2. Feihua Huang & Yue Du & Debao Hu & Bin Zhang, 2021. "Sustainable Performance Analysis of Power Supply Chain System from the Perspective of Technology and Management," Sustainability, MDPI, vol. 13(11), pages 1-17, May.
    3. Kiani Mavi, Reza & Kiani Mavi, Neda, 2021. "National eco-innovation analysis with big data: A common-weights model for dynamic DEA," Technological Forecasting and Social Change, Elsevier, vol. 162(C).
    4. Christina Bampatsou & George Halkos, 2021. "Non-Parametric Computational Measures for the Analysis of Resource Productivity," Energies, MDPI, vol. 14(11), pages 1-14, May.
    5. Eder, Andreas, 2021. "Environmental Efficiency Measurement When Producers Control Pollutants Under Heterogeneous Conditions: A Generalization of the Materials Balance Approach," 2021 Conference, August 17-31, 2021, Virtual 315100, International Association of Agricultural Economists.
    6. Atkinson, Scott E. & Tsionas, Mike G., 2021. "Generalized estimation of productivity with multiple bad outputs: The importance of materials balance constraints," European Journal of Operational Research, Elsevier, vol. 292(3), pages 1165-1186.
    7. Ahmed, Osama & Abdel-Salam, Sameh & Rungsuriyawiboon, Supawat, 2020. "Measuring the economic performance of mixed crop-livestock farming systems in Egypt: A non-parametric DEA approach," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 19(2), pages 133-145.
    8. Youshuai Sun & Demi Zhu & Zhenyu Zhang & Na Yan, 2022. "Does Fiscal Stress Improve the Environmental Efficiency? Perspective Based on the Urban Horizontal Fiscal Imbalance," IJERPH, MDPI, vol. 19(10), pages 1-23, May.
    9. Helu Xiao & Na Wang & Shanping Wang, 2023. "Dynamic sustainability assessment of poverty alleviation in China: evidence from both novel non-convex global two-stage DEA and Malmquist productivity index," Operational Research, Springer, vol. 23(2), pages 1-40, June.
    10. Zuoming Liu & Changbo Qiu & Min Sun & Dongmin Zhang, 2022. "Environmental Performance Evaluation of Key Polluting Industries in China—Taking the Power Industry as an Example," IJERPH, MDPI, vol. 19(12), pages 1-21, June.
    11. Ying-yu Lu & Yue He & Bo Wang & Shuang-shuang Ye & Yidi Hua & Lei Ding, 2019. "Efficiency Evaluation of Atmospheric Pollutants Emission in Zhejiang Province China: A DEA-Malmquist Based Approach," Sustainability, MDPI, vol. 11(17), pages 1-19, August.
    12. Tomasz Kijek & Anna Matras-Bolibok, 2020. "Spatial Distribution of Eco-Innovation Performance: Evidence from European Countries," European Research Studies Journal, European Research Studies Journal, vol. 0(Special 2), pages 766-778.
    13. Zhiqiang Zhu & Xuechi Zhang & Mengqing Xue & Yaoyao Song, 2023. "Eco-Efficiency and Its Evolutionary Change under Regulatory Constraints: A Case Study of Chinese Transportation Industry," Sustainability, MDPI, vol. 15(9), pages 1-18, April.
    14. Jian Chai & Wenyue Fan & Jing Han, 2019. "Does the Energy Efficiency of Power Companies Affect Their Industry Status? A DEA Analysis of Listed Companies in Thermal Power Sector," Sustainability, MDPI, vol. 12(1), pages 1-12, December.
    15. Li, Hai-ling & Zhu, Xue-hong & Chen, Jin-yu & Jiang, Fei-tao, 2019. "Environmental regulations, environmental governance efficiency and the green transformation of China's iron and steel enterprises," Ecological Economics, Elsevier, vol. 165(C), pages 1-1.
    16. Wu, Yinyin & Yu, Jie & Song, Malin & Chen, Jiandong & Hou, Wenxuan, 2021. "Shadow prices of industrial air pollutant emissions in China," Economic Modelling, Elsevier, vol. 94(C), pages 726-736.
    17. Bigerna, Simona & D'Errico, Maria Chiara & Polinori, Paolo, 2022. "Environmental variables and power firms' productivity: micro panel estimation with time-Invariant variables," MPRA Paper 114157, University Library of Munich, Germany.
    18. Fang Xu & Meng Tian & Jie Yang & Guohu Xu, 2020. "Does Environmental Inspection Led by the Central Government Improve the Air Quality in China? The Moderating Role of Public Engagement," Sustainability, MDPI, vol. 12(8), pages 1-27, April.
    19. Jun Xu & Yuchen Jiang & Xin Guo & Li Jiang, 2021. "Environmental Efficiency Assessment of Heavy Pollution Industry by Data Envelopment Analysis and Malmquist Index Analysis: Empirical Evidence from China," IJERPH, MDPI, vol. 18(11), pages 1-17, May.
    20. Cui, Lixin & Dong, Ruxue & Mu, Yunguo & Shen, Zhiyang & Xu, Jiatong, 2022. "How policy preferences affect the carbon shadow price in the OECD," Applied Energy, Elsevier, vol. 311(C).
    21. Zhang, Yue-Jun & Jiang, Lin & Shi, Wei, 2020. "Exploring the growth-adjusted energy-emission efficiency of transportation industry in China," Energy Economics, Elsevier, vol. 90(C).
    22. Sangmok Kang & Ziyao Li & Dasom Jeong, 2022. "An Effect of Carbon Dioxide and Energy Reduction on Production Efficiency and Economic Growth: Application of Carbon Neutrality in Korea," Sustainability, MDPI, vol. 14(24), pages 1-18, December.
    23. Xian, Yujiao & Wang, Ke & Wei, Yi-Ming & Huang, Zhimin, 2019. "Would China’s power industry benefit from nationwide carbon emission permit trading? An optimization model-based ex post analysis on abatement cost savings," Applied Energy, Elsevier, vol. 235(C), pages 978-986.
    24. Chen, Bin & Jin, Yingmei, 2020. "Adjusting productivity measures for CO2 emissions control: Evidence from the provincial thermal power sector in China," Energy Economics, Elsevier, vol. 87(C).
    25. Zeng, Ximei & Zhou, Zhongbao & Gong, Yeming & Liu, Wenbin, 2022. "A data envelopment analysis model integrated with portfolio theory for energy mix adjustment: Evidence in the power industry," Socio-Economic Planning Sciences, Elsevier, vol. 83(C).
    26. Chen, Hao, 2022. "Industrial production evaluation with the consideration of technology accumulation," Structural Change and Economic Dynamics, Elsevier, vol. 62(C), pages 72-84.
    27. Gholam R. Amin & Mustapha Ibn Boamah, 2020. "A new inverse DEA cost efficiency model for estimating potential merger gains: a case of Canadian banks," Annals of Operations Research, Springer, vol. 295(1), pages 21-36, December.
    28. Junran Dong & Desheng Wu, 2020. "An Evaluation of the Impact of Ecological Compensation on the Cross-Section Efficiency Using SFA and DEA: A Case Study of Xin’an River Basin," Sustainability, MDPI, vol. 12(19), pages 1-18, September.
    29. Li, Feng & Zhang, Danlu & Zhang, Jinyu & Kou, Gang, 2022. "Measuring the energy production and utilization efficiency of Chinese thermal power industry with the fixed-sum carbon emission constraint," International Journal of Production Economics, Elsevier, vol. 252(C).

  69. Tang, Baojun & Li, Ru & Yu, Biying & An, Runying & Wei, Yi-Ming, 2018. "How to peak carbon emissions in China's power sector: A regional perspective," Energy Policy, Elsevier, vol. 120(C), pages 365-381.

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    2. Xiao, Jin & Li, Guohao & Xie, Ling & Wang, Shouyang & Yu, Lean, 2021. "Decarbonizing China's power sector by 2030 with consideration of technological progress and cross-regional power transmission," Energy Policy, Elsevier, vol. 150(C).
    3. Li, Xi & Yu, Biying, 2019. "Peaking CO2 emissions for China's urban passenger transport sector," Energy Policy, Elsevier, vol. 133(C).
    4. Liu, Junling & Wang, Ke & Zou, Ji & Kong, Ying, 2019. "The implications of coal consumption in the power sector for China’s CO2 peaking target," Applied Energy, Elsevier, vol. 253(C), pages 1-1.
    5. Yongyou Nie & Yunhuan Gao & He He, 2022. "Modelling Structural Effect and Linkage on Carbon Emissions in China: An Environmentally Extended Semi-Closed Ghosh Input–Output Model," Energies, MDPI, vol. 15(17), pages 1-17, August.
    6. Yu, Biying & Zhao, Zihao & Zhang, Shuai & An, Runying & Chen, Jingming & Li, Ru & Zhao, Guangpu, 2021. "Technological development pathway for a low-carbon primary aluminum industry in China," Technological Forecasting and Social Change, Elsevier, vol. 173(C).
    7. Liangpeng Wu & Qingyuan Zhu, 2021. "Impacts of the carbon emission trading system on China’s carbon emission peak: a new data-driven approach," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 107(3), pages 2487-2515, July.
    8. Luo, Shihua & Hu, Weihao & Liu, Wen & Zhang, Zhenyuan & Bai, Chunguang & Huang, Qi & Chen, Zhe, 2022. "Study on the decarbonization in China's power sector under the background of carbon neutrality by 2060," Renewable and Sustainable Energy Reviews, Elsevier, vol. 166(C).
    9. Qi Chen & Yibo Yan & Xu Zhang & Jian Chen, 2022. "Impact of Subjective and Objective Factors on Subway Travel Behavior: Spatial Differentiation," IJERPH, MDPI, vol. 19(23), pages 1-17, November.
    10. Yuanying Chi & Wenbing Zhou & Songlin Tang & Yu Hu, 2022. "Driving Factors of CO 2 Emissions in China’s Power Industry: Relative Importance Analysis Based on Spatial Durbin Model," Energies, MDPI, vol. 15(7), pages 1-15, April.
    11. Wu, C.B. & Guan, P.B. & Zhong, L.N. & Lv, J. & Hu, X.F. & Huang, G.H. & Li, C.C., 2020. "An optimized low-carbon production planning model for power industry in coal-dependent regions - A case study of Shandong, China," Energy, Elsevier, vol. 192(C).
    12. Cui, Qi & He, Ling & Han, Guoyi & Chen, Hao & Cao, Juanjuan, 2020. "Review on climate and water resource implications of reducing renewable power curtailment in China: A nexus perspective," Applied Energy, Elsevier, vol. 267(C).
    13. Zhang, Yun-Long & Liu, Lan-Cui & Kang, Jia-Ning & Peng, Song & Mi, Zhifu & Liao, Hua & Wei, Yi-Ming, 2024. "Economic feasibility assessment of coal-biomass co-firing power generation technology," Energy, Elsevier, vol. 296(C).
    14. Tingru Yang & Wenling Liu, 2019. "Health Effects of Energy Intensive Sectors and the Potential Health Co-Benefits of a Low Carbon Industrial Transition in China," IJERPH, MDPI, vol. 16(17), pages 1-18, August.
    15. Tang, Bao-Jun & Guo, Yang-Yang & Yu, Biying & Harvey, L.D. Danny, 2021. "Pathways for decarbonizing China’s building sector under global warming thresholds," Applied Energy, Elsevier, vol. 298(C).
    16. Zhang, Haonan & Zhang, Xingping & Yuan, Jiahai, 2020. "Transition of China's power sector consistent with Paris Agreement into 2050: Pathways and challenges," Renewable and Sustainable Energy Reviews, Elsevier, vol. 132(C).
    17. Xian’en Wang & Tingyu Hu & Junnian Song & Haiyan Duan, 2022. "Tracking Key Industrial Sectors for CO 2 Mitigation through the Driving Effects: An Attribution Analysis," IJERPH, MDPI, vol. 19(21), pages 1-16, November.
    18. Jing-Ming Chen & Biying Yu & Yi-Ming Wei, 2019. "CO2 emissions accounting for the chemical industry: an empirical analysis for China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 99(3), pages 1327-1343, December.
    19. Zhang, Boling & Wang, Qian & Wang, Sixia & Tong, Ruipeng, 2023. "Coal power demand and paths to peak carbon emissions in China: A provincial scenario analysis oriented by CO2-related health co-benefits," Energy, Elsevier, vol. 282(C).
    20. Yu, Bolin & Fang, Debin & Xiao, Kun & Pan, Yuling, 2023. "Drivers of renewable energy penetration and its role in power sector's deep decarbonization towards carbon peak," Renewable and Sustainable Energy Reviews, Elsevier, vol. 178(C).
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    23. Lyu, Yizheng & Gao, Hanbo & Yan, Kun & Liu, Yingjie & Tian, Jinping & Chen, Lyujun & Wan, Mei, 2022. "Carbon peaking strategies for industrial parks: Model development and applications in China," Applied Energy, Elsevier, vol. 322(C).
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    33. Guangyue Xu & Juanjuan Li & Peter M. Schwarz & Hualiu Yang & Huiying Chang, 2022. "Rural financial development and achieving an agricultural carbon emissions peak: an empirical analysis of Henan Province, China," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(11), pages 12936-12962, November.
    34. Tang, Bao-Jun & Li, Xiao-Yi & Yu, Biying & Wei, Yi-Ming, 2019. "Sustainable development pathway for intercity passenger transport: A case study of China," Applied Energy, Elsevier, vol. 254(C).
    35. Miao, Ankang & Yuan, Yue & Wu, Han & Ma, Xin & Shao, Chenyu & Xiang, Sheng, 2024. "Pathway for China's provincial carbon emission peak: A case study of the Jiangsu Province," Energy, Elsevier, vol. 298(C).
    36. Nie, Liang & Zhang, ZhongXiang, 2023. "Is high-speed rail heading towards a low-carbon industry? Evidence from a quasi-natural experiment in China," Resource and Energy Economics, Elsevier, vol. 72(C).
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  70. Wei, Yi-Ming & Chen, Hao & Chyong, Chi Kong & Kang, Jia-Ning & Liao, Hua & Tang, Bao-Jun, 2018. "Economic dispatch savings in the coal-fired power sector: An empirical study of China," Energy Economics, Elsevier, vol. 74(C), pages 330-342.

    Cited by:

    1. Chenxi Xiang & Xinye Zheng & Feng Song & Jiang Lin & Zhigao Jiang, 2023. "Assessing the roles of efficient market versus regulatory capture in China’s power market reform," Nature Energy, Nature, vol. 8(7), pages 747-757, July.
    2. Kai Xu & Lawrence Loh & Qiang Chen, 2020. "Sustainable Innovation Governance: An Analysis of Regional Innovation with a Super Efficiency Slack-Based Measure Model," Sustainability, MDPI, vol. 12(7), pages 1-19, April.
    3. Chen, Hao & Cui, Jian & Song, Feng & Jiang, Zhigao, 2022. "Evaluating the impacts of reforming and integrating China's electricity sector," Energy Economics, Elsevier, vol. 108(C).
    4. Li, Mingquan & Gao, Huiwen & Abdulla, Ahmed & Shan, Rui & Gao, Shuo, 2022. "Combined effects of carbon pricing and power market reform on CO2 emissions reduction in China's electricity sector," Energy, Elsevier, vol. 257(C).
    5. Jin, Jingliang & Wen, Qinglan & Zhao, Liya & Zhou, Chaoyang & Guo, Xiaojun, 2023. "Measuring environmental performance of power dispatch influenced by low-carbon approaches," Renewable Energy, Elsevier, vol. 209(C), pages 325-339.
    6. Xuemei Zhenga & Flavio Menezes & Rabindra Nepal, 2020. "In Between the State and the Market: An Empirical Assessment of the Early Achievements of China’s 2015 Electricity Reform," Discussion Papers Series 633, School of Economics, University of Queensland, Australia.
    7. Chen, Weiming & Zhang, Zhenjun & Chen, Kaiyuan, 2023. "Inter-regional economic-environmental correlation effects of power sector in China," Energy, Elsevier, vol. 278(C).
    8. Wu, Xiuqin & Zhao, Jinsong & Zhang, Dayong & Lee, Wen-Chieh & Yu, Chin-Hsien, 2022. "Resource misallocation and the development of hydropower industry," Applied Energy, Elsevier, vol. 306(PA).
    9. Jin, Jingliang & Wen, Qinglan & Cheng, Siqi & Qiu, Yaru & Zhang, Xianyue & Guo, Xiaojun, 2022. "Optimization of carbon emission reduction paths in the low-carbon power dispatching process," Renewable Energy, Elsevier, vol. 188(C), pages 425-436.
    10. Prasad, Sanjeev K. & Mangaraj, B.K., 2022. "A multi-objective competitive-design framework for fuel procurement planning in coal-fired power plants for sustainable operations," Energy Economics, Elsevier, vol. 108(C).
    11. Chen, Hao & Gao, Xin-Ya & Liu, Jian-Yu & Zhang, Qian & Yu, Shiwei & Kang, Jia-Ning & Yan, Rui & Wei, Yi-Ming, 2020. "The grid parity analysis of onshore wind power in China: A system cost perspective," Renewable Energy, Elsevier, vol. 148(C), pages 22-30.
    12. Xia, Fang & Lu, Xi & Song, Feng, 2020. "The role of feed-in tariff in the curtailment of wind power in China," Energy Economics, Elsevier, vol. 86(C).
    13. Luo, Qian & Garcia-Menendez, Fernando & Yang, Haozhe & Deshmukh, Ranjit & He, Gang & Lin, Jiang & Johnson, Jeremiah X, 2023. "The Health and Climate Benefits of Economic Dispatch in China’s Power System," Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series qt2vq7v90q, Department of Agricultural & Resource Economics, UC Berkeley.
    14. Song, Feng & Bi, De & Wei, Chu, 2019. "Market segmentation and wind curtailment: An empirical analysis," Energy Policy, Elsevier, vol. 132(C), pages 831-838.
    15. Li, Ru & Tang, Bao-Jun & Yu, Biying & Liao, Hua & Zhang, Chen & Wei, Yi-Ming, 2022. "Cost-optimal operation strategy for integrating large scale of renewable energy in China’s power system: From a multi-regional perspective," Applied Energy, Elsevier, vol. 325(C).
    16. Qin, Quande & Liu, Yuan & Huang, Jia-Ping, 2020. "A cooperative game analysis for the allocation of carbon emissions reduction responsibility in China's power industry," Energy Economics, Elsevier, vol. 92(C).
    17. Haonan Zhang & Xingping Zhang & Jiahai Yuan, 2020. "Coal power in China: A multi‐level perspective review," Wiley Interdisciplinary Reviews: Energy and Environment, Wiley Blackwell, vol. 9(6), November.
    18. Ding, Qingguo & Wang, Jianxiao & Zhang, Bing & Yu, Yang, 2023. "Economic burden of China's fairness regulations on power generation sector," Energy, Elsevier, vol. 278(C).
    19. Timilsina, Govinda R. & Pang, Jun & Yang, Xi, 2021. "Macroeconomic impacts of power sector reforms in China," Energy Policy, Elsevier, vol. 157(C).
    20. Wang, Peng-Tao & Wei, Yi-Ming & Yang, Bo & Li, Jia-Quan & Kang, Jia-Ning & Liu, Lan-Cui & Yu, Bi-Ying & Hou, Yun-Bing & Zhang, Xian, 2020. "Carbon capture and storage in China’s power sector: Optimal planning under the 2 °C constraint," Applied Energy, Elsevier, vol. 263(C).
    21. Eisenberg, Tom, 2024. "Missing data and the effects of market deregulation: Evidence from Chinese coal power," International Journal of Industrial Organization, Elsevier, vol. 93(C).
    22. Cao, Jing & Ho, Mun S. & Ma, Rong & Zhang, Yu, 2024. "Transition from plan to market: Imperfect regulations in the electricity sector of China," Journal of Comparative Economics, Elsevier, vol. 52(2), pages 509-533.
    23. Ivan A. Kapitonov & Vladimir I. Voloshin & Vitaly G. Korolev, 2018. "Eastern Vector of Russian State Policy Development for Ensuring Energy Security," International Journal of Energy Economics and Policy, Econjournals, vol. 8(5), pages 335-341.
    24. Zhang, Dongyang, 2021. "Marketization, environmental regulation, and eco-friendly productivity: A Malmquist–Luenberger index for pollution emissions of large Chinese firms," Journal of Asian Economics, Elsevier, vol. 76(C).
    25. Zhang, Ruixiaoxiao & Shimada, Koji & Ni, Meng & Shen, Geoffrey Q.P. & Wong, Johnny K.W., 2020. "Low or No subsidy? Proposing a regional power grid based wind power feed-in tariff benchmark price mechanism in China," Energy Policy, Elsevier, vol. 146(C).
    26. Chen, Hao & Geng, Hao-Peng & Ling, Hui-Ting & Peng, Song & Li, Nan & Yu, Shiwei & Wei, Yi-Ming, 2020. "Modeling the coal-to-gas switch potentials in the power sector: A case study of China," Energy, Elsevier, vol. 192(C).

  71. Zhu, Bangzhu & Jiang, Minxing & Wang, Kefan & Chevallier, Julien & Wang, Ping & Wei, Yi-Ming, 2018. "On the road to China's 2020 carbon intensity target from the perspective of “double control”," Energy Policy, Elsevier, vol. 119(C), pages 377-387.
    See citations under working paper version above.
  72. Wang, Ke & Wang, Jiayu & Wei, Yi-Ming & Zhang, Chi, 2018. "A novel dataset of emission abatement sector extended input-output table for environmental policy analysis," Applied Energy, Elsevier, vol. 231(C), pages 1259-1267.
    See citations under working paper version above.
  73. Wang, Ke & Yang, Kexin & Wei, Yi-Ming & Zhang, Chi, 2018. "Shadow prices of direct and overall carbon emissions in China’s construction industry: A parametric directional distance function-based sensitive estimation," Structural Change and Economic Dynamics, Elsevier, vol. 47(C), pages 180-193.

    Cited by:

    1. Chen, Zhenling & Zhang, Xiaoling & Ni, Guohua, 2020. "Decomposing capacity utilization under carbon dioxide emissions reduction constraints in data envelopment analysis: An application to Chinese regions," Energy Policy, Elsevier, vol. 139(C).
    2. Xilian Wang & Lihang Qu & Yueying Wang & Helin Xie, 2023. "Dynamic Scenario Predictions of Peak Carbon Emissions in China’s Construction Industry," Sustainability, MDPI, vol. 15(7), pages 1-19, March.
    3. Li, Dezhi & Huang, Guanying & Zhu, Shiyao & Chen, Long & Wang, Jiangbo, 2021. "How to peak carbon emissions of provincial construction industry? Scenario analysis of Jiangsu Province," Renewable and Sustainable Energy Reviews, Elsevier, vol. 144(C).
    4. Cui, Lixin & Dong, Ruxue & Mu, Yunguo & Shen, Zhiyang & Xu, Jiatong, 2022. "How policy preferences affect the carbon shadow price in the OECD," Applied Energy, Elsevier, vol. 311(C).
    5. Onat, Nuri Cihat & Kucukvar, Murat, 2020. "Carbon footprint of construction industry: A global review and supply chain analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 124(C).
    6. Sala-Garrido, Ramon & Mocholi-Arce, Manuel & Molinos-Senante, Maria & Maziotis, Alexandros, 2021. "Assessing the marginal cost of reducing greenhouse gas emissions in the English and Welsh water and sewerage industry: A parametric approach," Utilities Policy, Elsevier, vol. 70(C).
    7. Zhang, Jingxiao & Jin, Weixing & Yang, Guo-liang & Li, Hui & Ke, Yongjian & Philbin, Simon Patrick, 2021. "Optimizing regional allocation of CO2 emissions considering output under overall efficiency," Socio-Economic Planning Sciences, Elsevier, vol. 77(C).
    8. Zhang, Ning & Huang, Xuhui & Qi, Chao, 2022. "The effect of environmental regulation on the marginal abatement cost of industrial firms: Evidence from the 11th Five-Year Plan in China," Energy Economics, Elsevier, vol. 112(C).

  74. Zhen, Wei & Qin, Quande & Qian, Xiaoying & Wei, Yi-Ming, 2018. "Inequality across China's Staple Crops in Energy Consumption and Related GHG Emissions," Ecological Economics, Elsevier, vol. 153(C), pages 17-30.

    Cited by:

    1. Han, Jiashi & Zhang, Lei & Li, Yang, 2022. "Spatiotemporal analysis of rural energy transition and upgrading in developing countries: The case of China," Applied Energy, Elsevier, vol. 307(C).
    2. Zhen, Wei & Qin, Quande & Miao, Lu, 2023. "The greenhouse gas rebound effect from increased energy efficiency across China's staple crops," Energy Policy, Elsevier, vol. 173(C).
    3. Zheng Meng & Jinling Guo & Kejia Yan & Zhuan Yang & Bozi Li & Bo Zhang & Bin Chen, 2022. "China’s Trade of Agricultural Products Drives Substantial Greenhouse Gas Emissions," IJERPH, MDPI, vol. 19(23), pages 1-16, November.
    4. Fanlue Li & Ke He & Run Zhu & Junbiao Zhang & Ming Gao, 2023. "Rural low‐carbon energy development in the information age: Can internet access drive the farmer to participate in personal carbon trading schemes related to bioenergy?," Sustainable Development, John Wiley & Sons, Ltd., vol. 31(3), pages 1417-1432, June.
    5. Wei Zhen & Quande Qin & Lei Jiang, 2022. "Heterogeneous Domestic Intermediate Input-Related Carbon Emissions in China’s Exports," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 81(3), pages 453-479, March.

  75. Zhen, Wei & Qin, Quande & Zhong, Zhangqi & Li, Li & Wei, Yi-Ming, 2018. "Uncovering household indirect energy-saving responsibility from a sectoral perspective: An empirical analysis of Guangdong, China," Energy Economics, Elsevier, vol. 72(C), pages 451-461.

    Cited by:

    1. Wang, Changbo & Malik, Arunima & Wang, Yafei & Chang, Yuan & Pang, Mingyue & Zhou, Dequn, 2020. "Understanding the resource-use and environmental impacts of bioethanol production in China based on a MRIO-based hybrid LCA model," Energy, Elsevier, vol. 203(C).
    2. Lina Liu & Jiansheng Qu & Tek Narayan Maraseni & Yibo Niu & Jingjing Zeng & Lihua Zhang & Li Xu, 2020. "Household CO 2 Emissions: Current Status and Future Perspectives," IJERPH, MDPI, vol. 17(19), pages 1-19, September.
    3. Xin Li & Xiaoqiong He & Xiyu Luo & Xiandan Cui & Minxi Wang, 2020. "Exploring the characteristics and drivers of indirect energy consumption of urban and rural households from a sectoral perspective," Greenhouse Gases: Science and Technology, Blackwell Publishing, vol. 10(5), pages 907-924, October.
    4. Zhen, Wei & Zhong, Zhangqi & Wang, Yichen & Miao, Lu & Qin, Quande & Wei, Yi-Ming, 2019. "Evolution of urban household indirect carbon emission responsibility from an inter-sectoral perspective: A case study of Guangdong, China," Energy Economics, Elsevier, vol. 83(C), pages 197-207.
    5. Zhu, Qingyuan & Xu, Chengzhen & Pan, Yinghao & Wu, Jie, 2024. "Identifying critical transmission sectors, paths, and carbon communities for CO2 mitigation in global supply chains," Renewable and Sustainable Energy Reviews, Elsevier, vol. 191(C).
    6. Ying Long & Jiahao Feng & Aolong Sun & Rui Wang & Yafei Wang, 2023. "Structural Characteristics of the Household Carbon Footprint in an Aging Society," Sustainability, MDPI, vol. 15(17), pages 1-18, August.
    7. Xiao Han & Chu Wei, 2021. "Household energy consumption: state of the art, research gaps, and future prospects," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(8), pages 12479-12504, August.

  76. Wang, Bing & Wei, Yi-Ming & Yuan, Xiao-Chen, 2018. "Possible design with equity and responsibility in China’s renewable portfolio standards," Applied Energy, Elsevier, vol. 232(C), pages 685-694.

    Cited by:

    1. Xin-gang, Zhao & Yi, Zuo & Hui, Wang & Zhen, Wang, 2022. "How can the cost and effectiveness of renewable portfolio standards be coordinated? Incentive mechanism design from the coevolution perspective," Renewable and Sustainable Energy Reviews, Elsevier, vol. 158(C).
    2. Chunning Na & Can Jin & Huan Pan & Lixia Ding, 2022. "Green Power Trade Behavior in China’s Renewable Portfolio Standard: An Evolutionary Game-Based System Dynamics Approach," Sustainability, MDPI, vol. 14(9), pages 1-12, April.
    3. Rasool Bukhsh & Muhammad Umar Javed & Aisha Fatima & Nadeem Javaid & Muhammad Shafiq & Jin-Ghoo Choi, 2020. "Cost Efficient Real Time Electricity Management Services for Green Community Using Fog," Energies, MDPI, vol. 13(12), pages 1-23, June.
    4. Ying, Zhou & Xin-gang, Zhao & Lei, Xu, 2022. "Supply side incentive under the Renewable Portfolio Standards: A perspective of China," Renewable Energy, Elsevier, vol. 193(C), pages 505-518.
    5. Xu, Jie & Lv, Tao & Hou, Xiaoran & Deng, Xu & Liu, Feng, 2021. "Provincial allocation of renewable portfolio standard in China based on efficiency and fairness principles," Renewable Energy, Elsevier, vol. 179(C), pages 1233-1245.
    6. Fugui Dong & Lei Shi & Xiaohui Ding & Yuan Li & Yongpeng Shi, 2019. "Study on China’s Renewable Energy Policy Reform and Improved Design of Renewable Portfolio Standard," Energies, MDPI, vol. 12(11), pages 1-23, June.
    7. Hao, Yu & Liu, Jiahui & Lu, Zhi-Nan & Shi, Ruijie & Wu, Haitao, 2021. "Impact of income inequality and fiscal decentralization on public health: Evidence from China," Economic Modelling, Elsevier, vol. 94(C), pages 934-944.
    8. Wang, Hongye & Su, Bin & Mu, Hailin & Li, Nan & Gui, Shusen & Duan, Ye & Jiang, Bo & Kong, Xue, 2020. "Optimal way to achieve renewable portfolio standard policy goals from the electricity generation, transmission, and trading perspectives in southern China," Energy Policy, Elsevier, vol. 139(C).
    9. Sun, Jie & Zhou, P. & Wen, Wen, 2022. "Assessing the regional adaptive capacity to renewable portfolio standard policy in China," Energy Policy, Elsevier, vol. 162(C).
    10. Dong, Zhuojia & Yu, Xianyu & Chang, Ching-Ter & Zhou, Dequn & Sang, Xiuzhi, 2022. "How does feed-in tariff and renewable portfolio standard evolve synergistically? An integrated approach of tripartite evolutionary game and system dynamics," Renewable Energy, Elsevier, vol. 186(C), pages 864-877.
    11. Zhao, Chuandang & Wang, Fengjuan, 2024. "Economy-equity equilibrium based bi-level provincial renewable portfolio standard target allocation: Perspective from China," Energy, Elsevier, vol. 290(C).
    12. Li, Wanying & Dong, Fugui & Ji, Zhengsen & Xia, Meijuan, 2023. "Analysis of the compound differential evolution game of new energy manufacturers’ two-stage market behavior under the weight of consumption responsibility," Energy, Elsevier, vol. 264(C).
    13. Song, Xiao-hua & Han, Jing-jing & Zhang, Lu & Zhao, Cai-ping & Wang, Peng & Liu, Xiao-yan & Li, Qiao-chu, 2021. "Impacts of renewable portfolio standards on multi-market coupling trading of renewable energy in China: A scenario-based system dynamics model," Energy Policy, Elsevier, vol. 159(C).
    14. Wang, Ge & Zhang, Qi & Li, Yan & Mclellan, Benjamin C. & Pan, Xunzhang, 2019. "Corrective regulations on renewable energy certificates trading: Pursuing an equity-efficiency trade-off," Energy Economics, Elsevier, vol. 80(C), pages 970-982.

  77. Zhang, Junjie & Yu, Biying & Wei, Yi-Ming, 2018. "Heterogeneous impacts of households on carbon dioxide emissions in Chinese provinces," Applied Energy, Elsevier, vol. 229(C), pages 236-252.

    Cited by:

    1. Yang, Di & Luan, Weixin & Qiao, Lu & Pratama, Mahardhika, 2020. "Modeling and spatio-temporal analysis of city-level carbon emissions based on nighttime light satellite imagery," Applied Energy, Elsevier, vol. 268(C).
    2. Yongyou Nie & Yunhuan Gao & He He, 2022. "Modelling Structural Effect and Linkage on Carbon Emissions in China: An Environmentally Extended Semi-Closed Ghosh Input–Output Model," Energies, MDPI, vol. 15(17), pages 1-17, August.
    3. Jinzhao Song & Qing Feng & Xiaoping Wang & Hanliang Fu & Wei Jiang & Baiyu Chen, 2018. "Spatial Association and Effect Evaluation of CO 2 Emission in the Chengdu-Chongqing Urban Agglomeration: Quantitative Evidence from Social Network Analysis," Sustainability, MDPI, vol. 11(1), pages 1-19, December.
    4. Soltani, Mohammad & Rahmani, Omeid & Ghasimi, Dara S.M. & Ghaderpour, Yousef & Pour, Amin Beiranvand & Misnan, Siti Hajar & Ngah, Ibrahim, 2020. "Impact of household demographic characteristics on energy conservation and carbon dioxide emission: Case from Mahabad city, Iran," Energy, Elsevier, vol. 194(C).
    5. Jingjing Chen & Yangyang Lin & Xiaojun Wang & Bingjing Mao & Lihong Peng, 2022. "Direct and Indirect Carbon Emission from Household Consumption Based on LMDI and SDA Model: A Decomposition and Comparison Analysis," Energies, MDPI, vol. 15(14), pages 1-22, July.
    6. Chen, Peipei & Wu, Yi & Zhong, Honglin & Long, Yin & Meng, Jing, 2022. "Exploring household emission patterns and driving factors in Japan using machine learning methods," Applied Energy, Elsevier, vol. 307(C).
    7. Jingbo Fan & Aobo Ran & Xiaomeng Li, 2019. "A Study on the Factors Affecting China’s Direct Household Carbon Emission and Comparison of Regional Differences," Sustainability, MDPI, vol. 11(18), pages 1-14, September.
    8. Yuan, Rong & Wang, Juan, 2021. "Impacts of poverty alleviation on household GHG footprints in China," Energy Economics, Elsevier, vol. 103(C).
    9. Du, Huibin & Chen, Zhenni & Peng, Binbin & Southworth, Frank & Ma, Shoufeng & Wang, Yuan, 2019. "What drives CO2 emissions from the transport sector? A linkage analysis," Energy, Elsevier, vol. 175(C), pages 195-204.
    10. Li, Jiajia & Li, Jun & Zhang, Jian, 2024. "Can digitalization facilitate low carbon lifestyle? --Evidence from households’ embedded emissions in China," Technology in Society, Elsevier, vol. 76(C).
    11. Lei, Mingyu & Ding, Qun & Cai, Wenjia & Wang, Can, 2022. "The exploration of joint carbon mitigation actions between demand- and supply-side for specific household consumption behaviors — A case study in China," Applied Energy, Elsevier, vol. 324(C).
    12. Zhang, Mingming & Liu, Jinghui & Liu, Liyun & Zhou, Dequn, 2023. "Inequality in urban household energy consumption for 30 Chinese provinces," Energy Policy, Elsevier, vol. 172(C).
    13. Suling Feng & Junjie Liu & Dehui Xu, 2024. "Digital financial development and indirect household carbon emissions: empirical evidence from China," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 26(9), pages 23401-23435, September.
    14. Huang, Rui & Tian, Lixin, 2021. "CO2 emissions inequality through the lens of developing countries," Applied Energy, Elsevier, vol. 281(C).
    15. Wang, Yizhong & Hang, Ye & Jeong, Sujong & Wang, Qunwei, 2023. "Intersectoral transfers and drivers of net CO2 emissions in China incorporating sources and sinks," Technological Forecasting and Social Change, Elsevier, vol. 195(C).

  78. Bangzhu Zhu & Ping Wang & Julien Chevallier & Yi‐Ming Wei & Rui Xie, 2018. "Enriching the VaR framework to EEMD with an application to the European carbon market," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 23(3), pages 315-328, July.

    Cited by:

    1. Xianzi Yang & Chen Zhang & Yu Yang & Wenjun Wang & Zulfiqar Ali Wagan, 2022. "A new risk measurement method for China's carbon market," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(1), pages 1280-1290, January.
    2. Md. Samsul Alam & Sajid Ali & Naceur Khraief & Syed Jawad Hussain Shahzad, 2021. "Time‐varying causal nexuses between economic growth and CO2 emissions in G‐7 countries: A bootstrap rolling window approach over 1820–2015," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(4), pages 6128-6148, October.
    3. Chen, Huayi & Shi, Huai-Long & Zhou, Wei-Xing, 2024. "Carbon volatility connectedness and the role of external uncertainties: Evidence from China," Journal of Commodity Markets, Elsevier, vol. 33(C).
    4. Bangzhu Zhu & Jingyi Zhang & Chunzhuo Wan & Julien Chevallier & Ping Wang, 2023. "An evolutionary cost‐sensitive support vector machine for carbon price trend forecasting," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(4), pages 741-755, July.
    5. Su, Hui & Zhou, Na & Wu, Qiaosheng & Bi, Zhiwei & Wang, Yuli, 2023. "Investigating price fluctuations in copper futures: Based on EEMD and Markov-switching VAR model," Resources Policy, Elsevier, vol. 82(C).

  79. Zongzhi Wang & Jingjing Wu & Liang Cheng & Kelin Liu & Yi-Ming Wei, 2018. "Regional flood risk assessment via coupled fuzzy c-means clustering methods: an empirical analysis from China’s Huaihe River Basin," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 93(2), pages 803-822, September.

    Cited by:

    1. Wenjuan Sun & Paolo Bocchini & Brian D. Davison, 2020. "Applications of artificial intelligence for disaster management," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 103(3), pages 2631-2689, September.
    2. Irem Sahmutoglu & Alev Taskin & Ertugrul Ayyildiz, 2023. "Assembly area risk assessment methodology for post-flood evacuation by integrated neutrosophic AHP-CODAS," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 116(1), pages 1071-1103, March.

  80. Yi-Ming Wei & Rong Han & Qiao-Mei Liang & Bi-Ying Yu & Yun-Fei Yao & Mei-Mei Xue & Kun Zhang & Li-Jing Liu & Juan Peng & Pu Yang & Zhi-Fu Mi & Yun-Fei Du & Ce Wang & Jun-Jie Chang & Qian-Ru Yang & Zil, 2018. "An integrated assessment of INDCs under Shared Socioeconomic Pathways: an implementation of C3IAM," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 92(2), pages 585-618, June.

    Cited by:

    1. Li, Xi & Yu, Biying, 2019. "Peaking CO2 emissions for China's urban passenger transport sector," Energy Policy, Elsevier, vol. 133(C).
    2. Jin, Gui & Shi, Xin & Zhang, Lei & Hu, Shougeng, 2020. "Measuring the SCCs of different Chinese regions under future scenarios," Renewable and Sustainable Energy Reviews, Elsevier, vol. 130(C).
    3. Changyi Liu & Xueli Shi & Guoquan Hu & Qiufeng Liu & Yunwei Dai & Wenyan Zhou & Chao Wei & Yunfei Cao, 2019. "A simple earth system model for C3IAM: based on BCC_CSM1.1 and CMIP5 simulations," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 99(3), pages 1311-1325, December.
    4. Min Zhang & Yan Qiu & Chunling Li & Tao Cui & Mingxing Yang & Jun Yan & Wu Yang, 2023. "A Habitable Earth and Carbon Neutrality: Mission and Challenges Facing Resources and the Environment in China—An Overview," IJERPH, MDPI, vol. 20(2), pages 1-35, January.
    5. Chang, Jun-Jie & Mi, Zhifu & Wei, Yi-Ming, 2023. "Temperature and GDP: A review of climate econometrics analysis," Structural Change and Economic Dynamics, Elsevier, vol. 66(C), pages 383-392.
    6. Kang, Jia-Ning & Wei, Yi-Ming & Liu, Lan-Cui & Han, Rong & Yu, Bi-Ying & Wang, Jin-Wei, 2020. "Energy systems for climate change mitigation: A systematic review," Applied Energy, Elsevier, vol. 263(C).
    7. Wu, Wei & Zhang, Tingting & Xie, Xiaomin & Huang, Zhen, 2021. "Regional low carbon development pathways for the Yangtze River Delta region in China," Energy Policy, Elsevier, vol. 151(C).
    8. Liu, Li-Jing & Creutzig, Felix & Yao, Yun-Fei & Wei, Yi-Ming & Liang, Qiao-Mei, 2020. "Environmental and economic impacts of trade barriers: The example of China–US trade friction," Resource and Energy Economics, Elsevier, vol. 59(C).
    9. Chen, Xiaotong & Yang, Fang & Zhang, Shining & Zakeri, Behnam & Chen, Xing & Liu, Changyi & Hou, Fangxin, 2021. "Regional emission pathways, energy transition paths and cost analysis under various effort-sharing approaches for meeting Paris Agreement goals," Energy, Elsevier, vol. 232(C).
    10. Kang, Jia-Ning & Wei, Yi-Ming & Liu, Lan-cui & Wang, Jin-Wei, 2021. "Observing technology reserves of carbon capture and storage via patent data: Paving the way for carbon neutral," Technological Forecasting and Social Change, Elsevier, vol. 171(C).
    11. Lili Sun & Huijuan Cui & Quansheng Ge, 2021. "Driving Factors and Future Prediction of Carbon Emissions in the ‘Belt and Road Initiative’ Countries," Energies, MDPI, vol. 14(17), pages 1-21, September.
    12. Weijiang Liu & Min Liu & Yangyang Li & Tingting Liu, 2024. "How to promote China's green economic development? The combination effects of consumption tax and carbon tax policies," Energy & Environment, , vol. 35(3), pages 1374-1395, May.
    13. Tang, Bao-Jun & Guo, Yang-Yang & Yu, Biying & Harvey, L.D. Danny, 2021. "Pathways for decarbonizing China’s building sector under global warming thresholds," Applied Energy, Elsevier, vol. 298(C).
    14. Yiwei Lian & Yang Bai & Zhongde Huang & Maroof Ali & Jie Wang & Haoran Chen, 2024. "Spatio-Temporal Changes and Habitats of Rare and Endangered Species in Yunnan Province Based on MaxEnt Model," Land, MDPI, vol. 13(2), pages 1-19, February.
    15. Liu, Li-Jing & Yao, Yun-Fei & Liang, Qiao-Mei & Qian, Xiang-Yan & Xu, Chun-Lei & Wei, Si-Yi & Creutzig, Felix & Wei, Yi-Ming, 2021. "Combining economic recovery with climate change mitigation: A global evaluation of financial instruments," Economic Analysis and Policy, Elsevier, vol. 72(C), pages 438-453.
    16. Jing-Ming Chen & Biying Yu & Yi-Ming Wei, 2019. "CO2 emissions accounting for the chemical industry: an empirical analysis for China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 99(3), pages 1327-1343, December.
    17. Jiang, Hong-Dian & Purohit, Pallav & Liang, Qiao-Mei & Dong, Kangyin & Liu, Li-Jing, 2022. "The cost-benefit comparisons of China's and India's NDCs based on carbon marginal abatement cost curves," Energy Economics, Elsevier, vol. 109(C).
    18. Zhang, Kun & Yang, Zili & Liang, Qiao-Mei & Liao, Hua & Yu, Bi-Ying & Wei, Yi-Ming, 2023. "China's carbon emissions and energy demand under different methods of global mitigation cooperation: Application of an extended RICE model with energy details," Energy, Elsevier, vol. 285(C).
    19. Tang, Bao-Jun & Wang, Xiang-Yu & Wei, Yi-Ming, 2019. "Quantities versus prices for best social welfare in carbon reduction: A literature review," Applied Energy, Elsevier, vol. 233, pages 554-564.
    20. Wenwen Tang & Lihan Cui & Sheng Zheng & Wei Hu, 2022. "Multi-Scenario Simulation of Land Use Carbon Emissions from Energy Consumption in Shenzhen, China," Land, MDPI, vol. 11(10), pages 1-16, September.
    21. Jiang, Hong-Dian & Purohit, Pallav & Liang, Qiao-Mei & Liu, Li-Jing & Zhang, Yu-Fei, 2023. "Improving the regional deployment of carbon mitigation efforts by incorporating air-quality co-benefits: A multi-provincial analysis of China," Ecological Economics, Elsevier, vol. 204(PA).
    22. Cai, Liya & Luo, Ji & Wang, Minghui & Guo, Jianfeng & Duan, Jinglin & Li, Jingtao & Li, Shuo & Liu, Liting & Ren, Dangpei, 2023. "Pathways for municipalities to achieve carbon emission peak and carbon neutrality: A study based on the LEAP model," Energy, Elsevier, vol. 262(PB).
    23. Dan Wang & Juheng Yang, 2022. "Carbon Neutrality Strategies for Chinese International Oil Company Based on the Rapid Development of Global Carbon Market," Sustainability, MDPI, vol. 14(18), pages 1-16, September.
    24. Tang, Bao-Jun & Li, Xiao-Yi & Yu, Biying & Wei, Yi-Ming, 2019. "Sustainable development pathway for intercity passenger transport: A case study of China," Applied Energy, Elsevier, vol. 254(C).
    25. Lv, Fei & Wu, Qiong & Ren, Hongbo & Zhou, Weisheng & Li, Qifen, 2024. "On the design and analysis of long-term low-carbon roadmaps: A review and evaluation of available energy-economy-environment models," Renewable and Sustainable Energy Reviews, Elsevier, vol. 189(PA).
    26. Zhang, Qingyong & Mao, Xianqiang & Lu, Jianhong & Guo, Zhi & Duman, Zaenhaer & Chen, Yongpeng & Song, Peng & Tu, Kevin, 2024. "EU-Russia energy decoupling in combination with the updated NDCs impacts on global fossil energy trade and carbon emissions," Applied Energy, Elsevier, vol. 356(C).

  81. Zhu, Bangzhu & Ye, Shunxin & Wang, Ping & He, Kaijian & Zhang, Tao & Wei, Yi-Ming, 2018. "A novel multiscale nonlinear ensemble leaning paradigm for carbon price forecasting," Energy Economics, Elsevier, vol. 70(C), pages 143-157.

    Cited by:

    1. Zhu, Bangzhu & Ye, Shunxin & Han, Dong & Wang, Ping & He, Kaijian & Wei, Yi-Ming & Xie, Rui, 2019. "A multiscale analysis for carbon price drivers," Energy Economics, Elsevier, vol. 78(C), pages 202-216.
    2. Li, Zhimin & Pan, Yanchun & Yang, Wen & Ma, Jianhua & Zhou, Ming, 2021. "Effects of government subsidies on green technology investment and green marketing coordination of supply chain under the cap-and-trade mechanism," Energy Economics, Elsevier, vol. 101(C).
    3. Qing Liu & Huina Jin & Xiang Bai & Jinliang Zhang, 2023. "Prediction and Analysis of the Price of Carbon Emission Rights in Shanghai: Under the Background of COVID-19 and the Russia–Ukraine Conflict," Mathematics, MDPI, vol. 11(14), pages 1-16, July.
    4. Gao, Feng & Shao, Xueyan, 2022. "A novel interval decomposition ensemble model for interval carbon price forecasting," Energy, Elsevier, vol. 243(C).
    5. Huang, Wenyang & Wang, Huiwen & Qin, Haotong & Wei, Yigang & Chevallier, Julien, 2022. "Convolutional neural network forecasting of European Union allowances futures using a novel unconstrained transformation method," Energy Economics, Elsevier, vol. 110(C).
    6. Xie, Qiwei & Hao, Jingjing & Li, Jingyu & Zheng, Xiaolong, 2022. "Carbon price prediction considering climate change: A text-based framework," Economic Analysis and Policy, Elsevier, vol. 74(C), pages 382-401.
    7. Liao, Haolan & Wu, Di & Wang, Yuhan & Lyu, Zeyu & Sun, Hongmei & Nie, Yongyou & He, He, 2022. "Impacts of carbon trading mechanism on closed-loop supply chain: A case study of stringer pallet remanufacturing," Socio-Economic Planning Sciences, Elsevier, vol. 81(C).
    8. Zhu, Bangzhu & Ye, Shunxin & Jiang, Minxing & Wang, Ping & Wu, Zhanchi & Xie, Rui & Chevallier, Julien & Wei, Yi-Ming, 2019. "Achieving the carbon intensity target of China: A least squares support vector machine with mixture kernel function approach," Applied Energy, Elsevier, vol. 233, pages 196-207.
    9. Xiaohua Song & Wen Zhang & Zeqi Ge & Siqi Huang & Yamin Huang & Sijia Xiong, 2022. "A Study of the Influencing Factors on the Carbon Emission Trading Price in China Based on the Improved Gray Relational Analysis Model," Sustainability, MDPI, vol. 14(13), pages 1-27, June.
    10. Wang, Jujie & Zhuang, Zhenzhen & Gao, Dongming, 2023. "An enhanced hybrid model based on multiple influencing factors and divide-conquer strategy for carbon price prediction," Omega, Elsevier, vol. 120(C).
    11. Katarzyna Rudnik & Anna Hnydiuk-Stefan & Aneta Kucińska-Landwójtowicz & Łukasz Mach, 2022. "Forecasting Day-Ahead Carbon Price by Modelling Its Determinants Using the PCA-Based Approach," Energies, MDPI, vol. 15(21), pages 1-23, October.
    12. Chai, Shanglei & Yang, Xiaoli & Zhang, Zhen & Abedin, Mohammad Zoynul & Lucey, Brian, 2022. "Regional imbalances of market efficiency in China’s pilot emission trading schemes (ETS): A multifractal perspective," Research in International Business and Finance, Elsevier, vol. 63(C).
    13. Zhu, Jiaming & Wu, Peng & Chen, Huayou & Liu, Jinpei & Zhou, Ligang, 2019. "Carbon price forecasting with variational mode decomposition and optimal combined model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 519(C), pages 140-158.
    14. Po Yun & Chen Zhang & Yaqi Wu & Xianzi Yang & Zulfiqar Ali Wagan, 2020. "A Novel Extended Higher-Order Moment Multi-Factor Framework for Forecasting the Carbon Price: Testing on the Multilayer Long Short-Term Memory Network," Sustainability, MDPI, vol. 12(5), pages 1-16, March.
    15. Han, Meng & Ding, Lili & Zhao, Xin & Kang, Wanglin, 2019. "Forecasting carbon prices in the Shenzhen market, China: The role of mixed-frequency factors," Energy, Elsevier, vol. 171(C), pages 69-76.
    16. Xian, Sidong & Feng, Miaomiao & Cheng, Yue, 2023. "Incremental nonlinear trend fuzzy granulation for carbon trading time series forecast," Applied Energy, Elsevier, vol. 352(C).
    17. Miao, Nana & Sharif, Arshian & Ozturk, Ilhan & Razzaq, Asif, 2023. "How do the exploitation of natural resources and fiscal policy affect green growth? Moderating role of ecological governance in G7 countries," Resources Policy, Elsevier, vol. 85(PA).
    18. Lei, Heng & Xue, Minggao & Liu, Huiling, 2022. "Probability distribution forecasting of carbon allowance prices: A hybrid model considering multiple influencing factors," Energy Economics, Elsevier, vol. 113(C).
    19. Jujie Wang & Zhenzhen Zhuang, 2023. "A novel cluster based multi-index nonlinear ensemble framework for carbon price forecasting," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(7), pages 6225-6247, July.
    20. Zhang, Ditian & Tang, Pan, 2023. "Forecasting European Union allowances futures: The role of technical indicators," Energy, Elsevier, vol. 270(C).
    21. Hongwei Dong & Yue Hu & Yihe Yang & Wenjing Jiang, 2023. "A Multi-Strategy Integration Prediction Model for Carbon Price," Energies, MDPI, vol. 16(12), pages 1-19, June.
    22. Xu, Hua & Wang, Minggang & Jiang, Shumin & Yang, Weiguo, 2020. "Carbon price forecasting with complex network and extreme learning machine," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 545(C).
    23. Li, Hongtao & Bai, Juncheng & Li, Yongwu, 2019. "A novel secondary decomposition learning paradigm with kernel extreme learning machine for multi-step forecasting of container throughput," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 534(C).
    24. Zhu, Bangzhu & Yuan, Lili & Ye, Shunxin, 2019. "Examining the multi-timescales of European carbon market with grey relational analysis and empirical mode decomposition," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 517(C), pages 392-399.
    25. Zhang, Fang & Xia, Yan, 2022. "Carbon price prediction models based on online news information analytics," Finance Research Letters, Elsevier, vol. 46(PA).
    26. Jujie Wang & Shiyao Qiu, 2021. "Improved Multi-Scale Deep Integration Paradigm for Point and Interval Carbon Trading Price Forecasting," Mathematics, MDPI, vol. 9(20), pages 1-20, October.
    27. Zhu, Bangzhu & Wan, Chunzhuo & Wang, Ping, 2022. "Interval forecasting of carbon price: A novel multiscale ensemble forecasting approach," Energy Economics, Elsevier, vol. 115(C).
    28. Wang, Jiqian & Guo, Xiaozhu & Tan, Xueping & Chevallier, Julien & Ma, Feng, 2023. "Which exogenous driver is informative in forecasting European carbon volatility: Bond, commodity, stock or uncertainty?," Energy Economics, Elsevier, vol. 117(C).
    29. Yumin Li & Ruiqi Yang & Xiaoman Wang & Jiaming Zhu & Nan Song, 2023. "Carbon Price Combination Forecasting Model Based on Lasso Regression and Optimal Integration," Sustainability, MDPI, vol. 15(12), pages 1-26, June.
    30. Wei Sun & Ming Duan, 2019. "Analysis and Forecasting of the Carbon Price in China’s Regional Carbon Markets Based on Fast Ensemble Empirical Mode Decomposition, Phase Space Reconstruction, and an Improved Extreme Learning Machin," Energies, MDPI, vol. 12(2), pages 1-27, January.
    31. Kaijian He & Qian Yang & Lei Ji & Jingcheng Pan & Yingchao Zou, 2023. "Financial Time Series Forecasting with the Deep Learning Ensemble Model," Mathematics, MDPI, vol. 11(4), pages 1-15, February.
    32. Liu, Shuihan & Xie, Gang & Wang, Zhengzhong & Wang, Shouyang, 2024. "A secondary decomposition-ensemble framework for interval carbon price forecasting," Applied Energy, Elsevier, vol. 359(C).
    33. Beibei Hu & Yunhe Cheng, 2023. "Prediction of Regional Carbon Price in China Based on Secondary Decomposition and Nonlinear Error Correction," Energies, MDPI, vol. 16(11), pages 1-22, May.
    34. AL-Alimi, Dalal & AlRassas, Ayman Mutahar & Al-qaness, Mohammed A.A. & Cai, Zhihua & Aseeri, Ahmad O. & Abd Elaziz, Mohamed & Ewees, Ahmed A., 2023. "TLIA: Time-series forecasting model using long short-term memory integrated with artificial neural networks for volatile energy markets," Applied Energy, Elsevier, vol. 343(C).
    35. Bangzhu Zhu & Jingyi Zhang & Chunzhuo Wan & Julien Chevallier & Ping Wang, 2023. "An evolutionary cost‐sensitive support vector machine for carbon price trend forecasting," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(4), pages 741-755, July.
    36. Li, Dan & Li, Yijun & Wang, Chaoqun & Chen, Min & Wu, Qi, 2023. "Forecasting carbon prices based on real-time decomposition and causal temporal convolutional networks," Applied Energy, Elsevier, vol. 331(C).
    37. Sun, Jie & Zhao, Xiaojun & Xu, Chao, 2021. "Crude oil market autocorrelation: Evidence from multiscale quantile regression analysis," Energy Economics, Elsevier, vol. 98(C).
    38. Jianguo Zhou & Xuechao Yu & Xiaolei Yuan, 2018. "Predicting the Carbon Price Sequence in the Shenzhen Emissions Exchange Using a Multiscale Ensemble Forecasting Model Based on Ensemble Empirical Mode Decomposition," Energies, MDPI, vol. 11(7), pages 1-17, July.
    39. Qi, Shaozhou & Cheng, Shihan & Tan, Xiujie & Feng, Shenghao & Zhou, Qi, 2022. "Predicting China's carbon price based on a multi-scale integrated model," Applied Energy, Elsevier, vol. 324(C).
    40. Zhu, Bangzhu & Huang, Liqing & Yuan, Lili & Ye, Shunxin & Wang, Ping, 2020. "Exploring the risk spillover effects between carbon market and electricity market: A bidimensional empirical mode decomposition based conditional value at risk approach," International Review of Economics & Finance, Elsevier, vol. 67(C), pages 163-175.
    41. Li, Ranran & Hu, Yucai & Heng, Jiani & Chen, Xueli, 2021. "A novel multiscale forecasting model for crude oil price time series," Technological Forecasting and Social Change, Elsevier, vol. 173(C).
    42. Qin, Chaoyong & Qin, Dongling & Jiang, Qiuxian & Zhu, Bangzhu, 2024. "Forecasting carbon price with attention mechanism and bidirectional long short-term memory network," Energy, Elsevier, vol. 299(C).
    43. Bangzhu Zhu & Shunxin Ye & Ping Wang & Julien Chevallier & Yi‐Ming Wei, 2022. "Forecasting carbon price using a multi‐objective least squares support vector machine with mixture kernels," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 41(1), pages 100-117, January.
    44. Jianguo Zhou & Dongfeng Chen, 2021. "Carbon Price Forecasting Based on Improved CEEMDAN and Extreme Learning Machine Optimized by Sparrow Search Algorithm," Sustainability, MDPI, vol. 13(9), pages 1-20, April.
    45. Ren, Xiaohang & Duan, Kun & Tao, Lizhu & Shi, Yukun & Yan, Cheng, 2022. "Carbon prices forecasting in quantiles," Energy Economics, Elsevier, vol. 108(C).
    46. Houjian Li & Xinya Huang & Deheng Zhou & Andi Cao & Mengying Su & Yufeng Wang & Lili Guo, 2022. "Forecasting Carbon Price in China: A Multimodel Comparison," IJERPH, MDPI, vol. 19(10), pages 1-16, May.
    47. Chao Zhang & Yihang Zhao & Huiru Zhao, 2022. "A Novel Hybrid Price Prediction Model for Multimodal Carbon Emission Trading Market Based on CEEMDAN Algorithm and Window-Based XGBoost Approach," Mathematics, MDPI, vol. 10(21), pages 1-16, November.
    48. Jiang Wu & Yu Chen & Tengfei Zhou & Taiyong Li, 2019. "An Adaptive Hybrid Learning Paradigm Integrating CEEMD, ARIMA and SBL for Crude Oil Price Forecasting," Energies, MDPI, vol. 12(7), pages 1-23, April.
    49. Peng Ye & Yong Li & Abu Bakkar Siddik, 2023. "Forecasting the Return of Carbon Price in the Chinese Market Based on an Improved Stacking Ensemble Algorithm," Energies, MDPI, vol. 16(11), pages 1-39, June.
    50. Peng Chen & Andrew Vivian & Cheng Ye, 2022. "Forecasting carbon futures price: a hybrid method incorporating fuzzy entropy and extreme learning machine," Annals of Operations Research, Springer, vol. 313(1), pages 559-601, June.
    51. Shenghua Xiong & Chunfeng Wang & Zhenming Fang & Dan Ma, 2019. "Multi-Step-Ahead Carbon Price Forecasting Based on Variational Mode Decomposition and Fast Multi-Output Relevance Vector Regression Optimized by the Multi-Objective Whale Optimization Algorithm," Energies, MDPI, vol. 12(1), pages 1-21, January.
    52. Wang, Jianzhou & Niu, Xinsong & Zhang, Linyue & Lv, Mengzheng, 2021. "Point and interval prediction for non-ferrous metals based on a hybrid prediction framework," Resources Policy, Elsevier, vol. 73(C).
    53. Chen, Linfei & Zhao, Xuefeng, 2024. "A multiscale and multivariable differentiated learning for carbon price forecasting," Energy Economics, Elsevier, vol. 131(C).
    54. Po Yun & Chen Zhang & Yaqi Wu & Yu Yang, 2022. "Forecasting Carbon Dioxide Price Using a Time-Varying High-Order Moment Hybrid Model of NAGARCHSK and Gated Recurrent Unit Network," IJERPH, MDPI, vol. 19(2), pages 1-19, January.
    55. Huang, Yumeng & Dai, Xingyu & Wang, Qunwei & Zhou, Dequn, 2021. "A hybrid model for carbon price forecastingusing GARCH and long short-term memory network," Applied Energy, Elsevier, vol. 285(C).
    56. Yang, Cai & Zhang, Hongwei & Weng, Futian, 2024. "Effects of COVID-19 vaccination programs on EU carbon price forecasts: Evidence from explainable machine learning," International Review of Financial Analysis, Elsevier, vol. 91(C).
    57. Xie, Qiwei & Liu, Ranran & Qian, Tao & Li, Jingyu, 2021. "Linkages between the international crude oil market and the Chinese stock market: A BEKK-GARCH-AFD approach," Energy Economics, Elsevier, vol. 102(C).
    58. Jesús Molina‐Muñoz & Andrés Mora‐Valencia & Javier Perote, 2024. "Predicting carbon and oil price returns using hybrid models based on machine and deep learning," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 31(2), June.
    59. Tan, Xueping & Sirichand, Kavita & Vivian, Andrew & Wang, Xinyu, 2022. "Forecasting European carbon returns using dimension reduction techniques: Commodity versus financial fundamentals," International Journal of Forecasting, Elsevier, vol. 38(3), pages 944-969.
    60. Huang, Yu-ting & Bai, Yu-long & Yu, Qing-he & Ding, Lin & Ma, Yong-jie, 2022. "Application of a hybrid model based on the Prophet model, ICEEMDAN and multi-model optimization error correction in metal price prediction," Resources Policy, Elsevier, vol. 79(C).
    61. Li, Jingmiao & Liu, Dehong, 2023. "Carbon price forecasting based on secondary decomposition and feature screening," Energy, Elsevier, vol. 278(PA).
    62. Jianguo Zhou & Xuejing Huo & Xiaolei Xu & Yushuo Li, 2019. "Forecasting the Carbon Price Using Extreme-Point Symmetric Mode Decomposition and Extreme Learning Machine Optimized by the Grey Wolf Optimizer Algorithm," Energies, MDPI, vol. 12(5), pages 1-22, March.
    63. Chen, Shi & Huang, Fu-Wei & Lin, Jyh-Horng, 2022. "Life insurance policyholder protection, government green subsidy, and cap-and-trade transactions in a black swan environment," Energy Economics, Elsevier, vol. 115(C).
    64. Wang, Jujie & Cui, Quan & He, Maolin, 2022. "Hybrid intelligent framework for carbon price prediction using improved variational mode decomposition and optimal extreme learning machine," Chaos, Solitons & Fractals, Elsevier, vol. 156(C).
    65. Wen Zhang & Zhibin Wu, 2022. "Optimal hybrid framework for carbon price forecasting using time series analysis and least squares support vector machine," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 41(3), pages 615-632, April.
    66. Wu, Ge & Baležentis, Tomas & Sun, Chuanwang & Xu, Shuhua, 2019. "Source control or end-of-pipe control: Mitigating air pollution at the regional level from the perspective of the Total Factor Productivity change decomposition," Energy Policy, Elsevier, vol. 129(C), pages 1227-1239.
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  82. Zhao, Weigang & Cao, Yunfei & Miao, Bo & Wang, Ke & Wei, Yi-Ming, 2018. "Impacts of shifting China's final energy consumption to electricity on CO2 emission reduction," Energy Economics, Elsevier, vol. 71(C), pages 359-369.

    Cited by:

    1. Chen, Zhenling & Zhao, Weigang & Zheng, Heyun, 2021. "Potential output gap in China's regional coal-fired power sector under the constraint of carbon emission reduction," Energy Policy, Elsevier, vol. 148(PA).
    2. Zhao, Jun & Dong, Kangyin & Dong, Xiucheng, 2024. "How does energy poverty eradication affect global carbon neutrality?," Renewable and Sustainable Energy Reviews, Elsevier, vol. 191(C).
    3. Chao Bao & Ruowen Liu, 2019. "Electricity Consumption Changes across China’s Provinces Using A Spatial Shift-Share Decomposition Model," Sustainability, MDPI, vol. 11(9), pages 1-15, April.
    4. Chen, Zhenling & Li, Jinkai & Zhao, Weigang & Yuan, Xiao-Chen & Yang, Guo-liang, 2019. "Undesirable and desirable energy congestion measurements for regional coal-fired power generation industry in China," Energy Policy, Elsevier, vol. 125(C), pages 122-134.
    5. Peng Yuelan & Muhammad Waqas Akbar & Zeenat Zia & Muhammad Imran Arshad, 2022. "Exploring the nexus between tax revenues, government expenditures, and climate change: empirical evidence from Belt and Road Initiative countries," Economic Change and Restructuring, Springer, vol. 55(3), pages 1365-1395, August.
    6. Xie, Minghua & Yi, Xiangyu & Liu, Kui & Sun, Chuanwang & Kong, Qingbao, 2023. "How much natural gas does China need: An empirical study from the perspective of energy transition," Energy, Elsevier, vol. 266(C).
    7. Guang, Fengtao & Wen, Le & Sharp, Basil, 2022. "Energy efficiency improvements and industry transition: An analysis of China's electricity consumption," Energy, Elsevier, vol. 244(PA).
    8. Li, Yan & Feng, Tian-tian & Liu, Li-li & Zhang, Meng-xi, 2023. "How do the electricity market and carbon market interact and achieve integrated development?--A bibliometric-based review," Energy, Elsevier, vol. 265(C).
    9. Munir Ahmad & Heng Li & Muhammad Khalid Anser & Abdul Rehman & Zeeshan Fareed & Qingyou Yan & Gul Jabeen, 2021. "Are the intensity of energy use, land agglomeration, CO2 emissions, and economic progress dynamically interlinked across development levels?," Energy & Environment, , vol. 32(4), pages 690-721, June.
    10. César Berna-Escriche & Ángel Pérez-Navarro & Alberto Escrivá & Elías Hurtado & José Luis Muñoz-Cobo & María Cristina Moros, 2021. "Methodology and Application of Statistical Techniques to Evaluate the Reliability of Electrical Systems Based on the Use of High Variability Generation Sources," Sustainability, MDPI, vol. 13(18), pages 1-27, September.
    11. Dong, Qichen & Lin, Yongyi & Huang, Jieyu & Chen, Zhongfei, 2020. "Has urbanization accelerated PM2.5 emissions? An empirical analysis with cross-country data," China Economic Review, Elsevier, vol. 59(C).
    12. Khanna, Nina & Fridley, David & Zhou, Nan & Karali, Nihan & Zhang, Jingjing & Feng, Wei, 2019. "Energy and CO2 implications of decarbonization strategies for China beyond efficiency: Modeling 2050 maximum renewable resources and accelerated electrification impacts," Applied Energy, Elsevier, vol. 242(C), pages 12-26.
    13. Chen, Hongfei & Liu, Hongtao & Yang, Fuxin & Tan, Houzhang & Wang, Bangju, 2023. "Field measurements and numerical investigation on heat transfer characteristics and long-term performance of deep borehole heat exchangers," Renewable Energy, Elsevier, vol. 205(C), pages 1125-1136.
    14. Liu, Hongxun & Mauzerall, Denise L., 2020. "Costs of clean heating in China: Evidence from rural households in the Beijing-Tianjin-Hebei region," Energy Economics, Elsevier, vol. 90(C).
    15. Berna-Escriche, César & Rivera, Yago & Alvarez-Piñeiro, Lucas & Muñoz-Cobo, José Luis, 2024. "Best estimate plus uncertainty methodology for forecasting electrical balances in isolated grids: The decarbonized Canary Islands by 2040," Energy, Elsevier, vol. 294(C).

  83. Chen, Jing-Ming & Yu, Biying & Wei, Yi-Ming, 2018. "Energy technology roadmap for ethylene industry in China," Applied Energy, Elsevier, vol. 224(C), pages 160-174.

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    1. Wang, Ke & Wang, Yi-Wei & Wang, Quan-Jing, 2022. "Will monetary policy affect energy security? Evidence from Asian countries," Journal of Asian Economics, Elsevier, vol. 81(C).
    2. Li, Xi & Yu, Biying, 2019. "Peaking CO2 emissions for China's urban passenger transport sector," Energy Policy, Elsevier, vol. 133(C).
    3. Yu, Biying & Zhao, Zihao & Zhang, Shuai & An, Runying & Chen, Jingming & Li, Ru & Zhao, Guangpu, 2021. "Technological development pathway for a low-carbon primary aluminum industry in China," Technological Forecasting and Social Change, Elsevier, vol. 173(C).
    4. Yang, Dan & Peng, Xin & Ye, Zhencheng & Lu, Yusheng & Zhong, Weimin, 2021. "Domain adaptation network with uncertainty modeling and its application to the online energy consumption prediction of ethylene distillation processes," Applied Energy, Elsevier, vol. 303(C).
    5. Biying Yu & Guangpu Zhao & Runying An, 2019. "Framing the picture of energy consumption in China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 99(3), pages 1469-1490, December.
    6. Park, Ki-Bum & Jeong, Yong-Seong & Kim, Joo-Sik, 2019. "Activator-assisted pyrolysis of polypropylene," Applied Energy, Elsevier, vol. 253(C), pages 1-1.
    7. Han, Yongming & Liu, Shuang & Cong, Di & Geng, Zhiqiang & Fan, Jinzhen & Gao, Jingyang & Pan, Tingrui, 2021. "Resource optimization model using novel extreme learning machine with t-distributed stochastic neighbor embedding: Application to complex industrial processes," Energy, Elsevier, vol. 225(C).
    8. Zhao, Zhitong & Chong, Katie & Jiang, Jingyang & Wilson, Karen & Zhang, Xiaochen & Wang, Feng, 2018. "Low-carbon roadmap of chemical production: A case study of ethylene in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 97(C), pages 580-591.
    9. Wen, Wen & Feng, Cuiyang & Zhou, Hao & Zhang, Li & Wu, Xiaohui & Qi, Jianchuan & Yang, Xuechun & Liang, Yuhan, 2021. "Critical provincial transmission sectors for carbon dioxide emissions in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 149(C).
    10. Jing-Ming Chen & Biying Yu & Yi-Ming Wei, 2019. "CO2 emissions accounting for the chemical industry: an empirical analysis for China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 99(3), pages 1327-1343, December.
    11. Biying Yu & Zihao Zhao & Yi-Ming Wei & Lan-Cui Liu & Qingyu Zhao & Shuo Xu & Jia-Ning Kang & Hua Liao, 2023. "Approaching national climate targets in China considering the challenge of regional inequality," Nature Communications, Nature, vol. 14(1), pages 1-12, December.
    12. Wang, Xiaoyang & Yu, Biying & An, Runying & Sun, Feihu & Xu, Shuo, 2022. "An integrated analysis of China’s iron and steel industry towards carbon neutrality," Applied Energy, Elsevier, vol. 322(C).
    13. Maaouane, Mohamed & Zouggar, Smail & Krajačić, Goran & Zahboune, Hassan, 2021. "Modelling industry energy demand using multiple linear regression analysis based on consumed quantity of goods," Energy, Elsevier, vol. 225(C).
    14. Geng, Zhiqiang & Zhang, Yanhui & Li, Chengfei & Han, Yongming & Cui, Yunfei & Yu, Bin, 2020. "Energy optimization and prediction modeling of petrochemical industries: An improved convolutional neural network based on cross-feature," Energy, Elsevier, vol. 194(C).
    15. Yu, Biying & Tan, Jin-Xiao & Zhang, Shitong, 2024. "Uncertainties in the technological pathway towards low-carbon freight transport under carbon neutral target in China," Applied Energy, Elsevier, vol. 365(C).
    16. Sepehr Ghazinoory & Maryam Nozari & Fatemeh Hoshdar, 2024. "Cascade Roadmaps as a Tool for Technology Strategy Formulation: the Case of Iran Oil Industry," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 15(1), pages 1871-1888, March.
    17. Tang, Bao-Jun & Li, Xiao-Yi & Yu, Biying & Wei, Yi-Ming, 2019. "Sustainable development pathway for intercity passenger transport: A case study of China," Applied Energy, Elsevier, vol. 254(C).
    18. Lv, Fei & Wu, Qiong & Ren, Hongbo & Zhou, Weisheng & Li, Qifen, 2024. "On the design and analysis of long-term low-carbon roadmaps: A review and evaluation of available energy-economy-environment models," Renewable and Sustainable Energy Reviews, Elsevier, vol. 189(PA).
    19. Wang, Yihan & Chen, Chen & Tao, Yuan & Wen, Zongguo & Chen, Bin & Zhang, Hong, 2019. "A many-objective optimization of industrial environmental management using NSGA-III: A case of China’s iron and steel industry," Applied Energy, Elsevier, vol. 242(C), pages 46-56.

  84. Biying Yu & Yi-Ming Wei & Kei Gomi & Yuzuru Matsuoka, 2018. "Future scenarios for energy consumption and carbon emissions due to demographic transitions in Chinese households," Nature Energy, Nature, vol. 3(2), pages 109-118, February.

    Cited by:

    1. Zhu, Penghu & Lin, Boqiang, 2022. "Do the elderly consume more energy? Evidence from the retirement policy in urban China," Energy Policy, Elsevier, vol. 165(C).
    2. Lina Liu & Jiansheng Qu & Tek Narayan Maraseni & Yibo Niu & Jingjing Zeng & Lihua Zhang & Li Xu, 2020. "Household CO 2 Emissions: Current Status and Future Perspectives," IJERPH, MDPI, vol. 17(19), pages 1-19, September.
    3. Namahoro, J.P. & Wu, Q. & Su, H., 2023. "Wind energy, industrial-economic development and CO2 emissions nexus: Do droughts matter?," Energy, Elsevier, vol. 278(PA).
    4. Zhang, Xi & Geng, Yong & Shao, Shuai & Wilson, Jeffrey & Song, Xiaoqian & You, Wei, 2020. "China’s non-fossil energy development and its 2030 CO2 reduction targets: The role of urbanization," Applied Energy, Elsevier, vol. 261(C).
    5. Sol Kim & Sungwon Jung & Seung-Man Baek, 2019. "A Model for Predicting Energy Usage Pattern Types with Energy Consumption Information According to the Behaviors of Single-Person Households in South Korea," Sustainability, MDPI, vol. 11(1), pages 1-24, January.
    6. Yu, Yan-Yan & Liu, Li-Jing & Wang, He-Jing, 2024. "Who is most affected by carbon tax? Evidence from Chinese residents in the context of aging," Energy Policy, Elsevier, vol. 185(C).
    7. Huo, Tengfei & Xu, Linbo & Feng, Wei & Cai, Weiguang & Liu, Bingsheng, 2021. "Dynamic scenario simulations of carbon emission peak in China's city-scale urban residential building sector through 2050," Energy Policy, Elsevier, vol. 159(C).
    8. Lei, Mingyu & Cai, Wenjia & Liu, Wenling & Wang, Can, 2022. "The heterogeneity in energy consumption patterns and home appliance purchasing preferences across urban households in China," Energy, Elsevier, vol. 253(C).
    9. Hongwu Zhang & Lequan Zhang & Keying Wang & Xunpeng Shi, 2019. "Unveiling Key Drivers of Indirect Carbon Emissions of Chinese Older Households," Sustainability, MDPI, vol. 11(20), pages 1-17, October.
    10. Yan, Ran & Ma, Minda & Zhou, Nan & Feng, Wei & Xiang, Xiwang & Mao, Chao, 2023. "Towards COP27: Decarbonization patterns of residential building in China and India," Applied Energy, Elsevier, vol. 352(C).
    11. Li, Zhen & Niu, Shuwen & Halleck Vega, Sol Maria & Wang, Jinnian & Wang, Dakang & Yang, Xiankun, 2024. "Electrification and residential well-being in China," Energy, Elsevier, vol. 294(C).
    12. Zhang, Hongji & Ding, Tao & Sun, Yuge & Huang, Yuhan & He, Yuankang & Huang, Can & Li, Fangxing & Xue, Chen & Sun, Xiaoqiang, 2023. "How does load-side re-electrification help carbon neutrality in energy systems: Cost competitiveness analysis and life-cycle deduction," Renewable and Sustainable Energy Reviews, Elsevier, vol. 187(C).
    13. Wu, Wenchao & Kanamori, Yuko & Zhang, Runsen & Zhou, Qian & Takahashi, Kiyoshi & Masui, Toshihiko, 2021. "Implications of declining household economies of scale on electricity consumption and sustainability in China," Ecological Economics, Elsevier, vol. 184(C).
    14. Su, Min & Wang, Qiang & Li, Rongrong & Wang, Lili, 2022. "Per capita renewable energy consumption in 116 countries: The effects of urbanization, industrialization, GDP, aging, and trade openness," Energy, Elsevier, vol. 254(PB).
    15. Yu, Biying & Yang, Xiaojuan & Zhao, Qingyu & Tan, Jinxiao, 2020. "Causal Effect of Time-Use Behavior on Residential Energy Consumption in China," Ecological Economics, Elsevier, vol. 175(C).
    16. Jingbo Fan & Aobo Ran & Xiaomeng Li, 2019. "A Study on the Factors Affecting China’s Direct Household Carbon Emission and Comparison of Regional Differences," Sustainability, MDPI, vol. 11(18), pages 1-14, September.
    17. Huo, Tengfei & Cong, Xiaobo & Cheng, Cong & Cai, Weiguang & Zuo, Jian, 2023. "What is the driving mechanism for the carbon emissions in the building sector? An integrated DEMATEL-ISM model," Energy, Elsevier, vol. 274(C).
    18. Junling Liu & Mingjian Yin & Ke Wang & Ji Zou & Ying Kong, 2020. "Long-term impacts of urbanization through population migration on China’s energy demand and CO2 emissions," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 25(6), pages 1053-1071, August.
    19. Wu, Hongyue & Chang, Yuan & Chen, Yunfeng, 2024. "Greenhouse gas emissions under work from home vs. office: An activity-based individual-level accounting model," Applied Energy, Elsevier, vol. 353(PB).
    20. Sun, Shuyu & Tong, Kangkang, 2024. "Rural-urban inequality in energy use sufficiency and efficiency during a rapid urbanization period," Applied Energy, Elsevier, vol. 364(C).
    21. Shi, Zhengyu & Wu, Libo & Zhou, Yang, 2023. "Predicting household energy consumption in an aging society," Applied Energy, Elsevier, vol. 352(C).
    22. Jafari, Mehdi & Botterud, Audun & Sakti, Apurba, 2022. "Decarbonizing power systems: A critical review of the role of energy storage," Renewable and Sustainable Energy Reviews, Elsevier, vol. 158(C).
    23. Tae Yong Jung & Yong-Gun Kim & Jongwoo Moon, 2021. "The Impact of Demographic Changes on CO 2 Emission Profiles: Cases of East Asian Countries," Sustainability, MDPI, vol. 13(2), pages 1-14, January.
    24. Wang, Bo & Yang, Zihan & Le Hoa Pham, Thi & Deng, Nana & Du, Heran, 2023. "Can social impacts promote residents’ pro-environmental intentions and behaviour: Evidence from large-scale demand response experiment in China," Applied Energy, Elsevier, vol. 340(C).
    25. Chen, Lei & Xu, Linyu & Velasco-Fernández, Raúl & Giampietro, Mario & Yang, Zhifeng, 2021. "Residential energy metabolic patterns in China: A study of the urbanization process," Energy, Elsevier, vol. 215(PA).
    26. Verma, Pramit & Kumari, Tanu & Raghubanshi, Akhilesh Singh, 2021. "Energy emissions, consumption and impact of urban households: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 147(C).
    27. Yu, Biying & Sun, Feihu & Chen, Chen & Fu, Guanpeng & Hu, Lin, 2022. "Power demand response in the context of smart home application," Energy, Elsevier, vol. 240(C).
    28. Li, Mingquan & Shan, Rui & Hernandez, Mauricio & Mallampalli, Varun & Patiño-Echeverri, Dalia, 2019. "Effects of population, urbanization, household size, and income on electric appliance adoption in the Chinese residential sector towards 2050," Applied Energy, Elsevier, vol. 236(C), pages 293-306.
    29. Fenghua Wen & Zhanlin Sun & Yu Luo, 2023. "Population Structure and Local Carbon Emission Reduction: Evidence from Guangdong, China," Sustainability, MDPI, vol. 15(5), pages 1-27, February.
    30. Zhang, Jing & Yan, Jie & Liu, Yongqian & Zhang, Haoran & Lv, Guoliang, 2020. "Daily electric vehicle charging load profiles considering demographics of vehicle users," Applied Energy, Elsevier, vol. 274(C).
    31. Shen, Yu & Sun, Wenkai, 2023. "The effect of low-carbon city pilot on energy consumption behavior: Evidence from China," Energy Economics, Elsevier, vol. 127(PA).

  85. Bangzhu Zhu & Shujiao Ma & Rui Xie & Julien Chevallier & Yi-Ming Wei, 2018. "Hilbert Spectra and Empirical Mode Decomposition: A Multiscale Event Analysis Method to Detect the Impact of Economic Crises on the European Carbon Market," Computational Economics, Springer;Society for Computational Economics, vol. 52(1), pages 105-121, June.
    See citations under working paper version above.
  86. Wei, Yi-Ming & Kang, Jia-Ning & Yu, Bi-Ying & Liao, Hua & Du, Yun-Fei, 2017. "A dynamic forward-citation full path model for technology monitoring: An empirical study from shale gas industry," Applied Energy, Elsevier, vol. 205(C), pages 769-780.

    Cited by:

    1. Niu, Wente & Lu, Jialiang & Sun, Yuping & Zhang, Xiaowei & Li, Qiaojing & Cao, Xu & Liang, Pingping & Zhan, Hongming, 2024. "Techno-economic integration evaluation in shale gas development based on ensemble learning," Applied Energy, Elsevier, vol. 357(C).
    2. Kang, Jia-Ning & Wei, Yi-Ming & Liu, Lan-Cui & Han, Rong & Yu, Bi-Ying & Wang, Jin-Wei, 2020. "Energy systems for climate change mitigation: A systematic review," Applied Energy, Elsevier, vol. 263(C).
    3. Yi-Ming Wei & Jin-Wei Wang & Tianqi Chen & Bi-Ying Yu & Hua Liao, 2018. "Frontiers of Low-Carbon Technologies: Results from Bibliographic Coupling with Sliding Window," CEEP-BIT Working Papers 116, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
    4. Kang, Jia-Ning & Wei, Yi-Ming & Liu, Lan-cui & Wang, Jin-Wei, 2021. "Observing technology reserves of carbon capture and storage via patent data: Paving the way for carbon neutral," Technological Forecasting and Social Change, Elsevier, vol. 171(C).
    5. Jong-Hyun Kim & Yong-Gil Lee, 2020. "Progress of Technological Innovation of the United States’ Shale Petroleum Industry Based on Patent Data Association Rules," Sustainability, MDPI, vol. 12(16), pages 1-17, August.
    6. WANG, La-yin & ZHAO, Dong, 2021. "Cross-domain function analysis and trend study in Chinese construction industry based on patent semantic analysis," Technological Forecasting and Social Change, Elsevier, vol. 162(C).
    7. Jong-Hyun Kim & Yong-Gil Lee, 2018. "Learning Curve, Change in Industrial Environment, and Dynamics of Production Activities in Unconventional Energy Resources," Sustainability, MDPI, vol. 10(9), pages 1-11, September.
    8. Jong-Hyun Kim & Yong-Gil Lee, 2020. "Patent Analysis on the Development of the Shale Petroleum Industry Based on a Network of Technological Indices," Energies, MDPI, vol. 13(24), pages 1-15, December.
    9. Feng, Sida & Magee, Christopher L., 2020. "Technological development of key domains in electric vehicles: Improvement rates, technology trajectories and key assignees," Applied Energy, Elsevier, vol. 260(C).
    10. de Wildt, Tristan E. & Chappin, Emile J.L. & van de Kaa, Geerten & Herder, Paulien M., 2018. "A comprehensive approach to reviewing latent topics addressed by literature across multiple disciplines," Applied Energy, Elsevier, vol. 228(C), pages 2111-2128.
    11. Kang, Jia-Ning & Zhang, Yun-Long & Chen, Weiming, 2022. "Delivering negative emissions innovation on the right track: A patent analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 158(C).

  87. Cui, Qiang & Li, Ye & Wei, Yi-Ming, 2017. "Exploring the impacts of EU ETS on the pollution abatement costs of European airlines: An application of Network Environmental Production Function," Transport Policy, Elsevier, vol. 60(C), pages 131-142.

    Cited by:

    1. Ben Lahouel, Béchir & Taleb, Lotfi & Ben Zaied, Younes & Managi, Shunsuke, 2022. "Does primary stakeholder management improve competitiveness? A dynamic network non-parametric frontier approach," Economic Modelling, Elsevier, vol. 116(C).
    2. Dong, Qichen & Chen, Fanglin & Chen, Zhongfei, 2020. "Airports and air pollutions: Empirical evidence from China," Transport Policy, Elsevier, vol. 99(C), pages 385-395.
    3. Mengyuan Sun & Yong Tian & Yao Zhang & Muhammad Nadeem & Can Xu, 2021. "Environmental Impact and External Costs Associated with Hub-and-Spoke Network in Air Transport," Sustainability, MDPI, vol. 13(2), pages 1-21, January.
    4. Chen, Shangrong & Bravo-Melgarejo, Sai & Mongeau, Romain & Malavolti, Estelle, 2023. "Adopting and diffusing hydrogen technology in air transport: An evolutionary game theory approach," Energy Economics, Elsevier, vol. 125(C).
    5. Cui, Qiang, 2019. "The online pricing strategy of low-cost carriers when carbon tax and competition are considered," Transportation Research Part A: Policy and Practice, Elsevier, vol. 121(C), pages 420-432.
    6. Nava, Consuelo R. & Meleo, Linda & Cassetta, Ernesto & Morelli, Giovanna, 2017. "The Impact of the EU-ETS on the Aviation Sector: Competitive Effects of Abatement Efforts by Airlines," Department of Economics and Statistics Cognetti de Martiis. Working Papers 201710, University of Turin.
    7. Qiu, Rui & Hou, Shuhua & Meng, Zhiyi, 2021. "Low carbon air transport development trends and policy implications based on a scientometrics-based data analysis system," Transport Policy, Elsevier, vol. 107(C), pages 1-10.
    8. Cui, Qiang & Li, Xin-yi, 2021. "Investigating the Profit Pollution Abatement Costs difference before and after the “Carbon neutral growth from 2020” strategy was proposed," Research in Transportation Economics, Elsevier, vol. 90(C).
    9. Sajid, M. Jawad & Cao, Qingren & Kang, Wei, 2019. "Transport sector carbon linkages of EU's top seven emitters," Transport Policy, Elsevier, vol. 80(C), pages 24-38.
    10. Cui, Qiang & Hu, Yu-xin & Yu, Li-ting, 2022. "Can the aviation industry achieve carbon emission reduction and revenue growth simultaneously under the CNG2020 strategy? An empirical study with 25 benchmarking airlines," Energy, Elsevier, vol. 245(C).
    11. Losa, Eduardo Tola & Arjomandi, Amir & Hervé Dakpo, K. & Bloomfield, Jason, 2020. "Efficiency comparison of airline groups in Annex 1 and non-Annex 1 countries: A dynamic network DEA approach," Transport Policy, Elsevier, vol. 99(C), pages 163-174.
    12. Pérez-Calderón, Esteban & Milanés-Montero, Patricia & Gutíerrez-Pérez, Cristina, 2021. "Climate change, where do we come from and where are we going? European aviation sector behaviour," Transport Policy, Elsevier, vol. 114(C), pages 40-48.
    13. Markham, Francis & Young, Martin & Reis, Arianne & Higham, James, 2018. "Does carbon pricing reduce air travel? Evidence from the Australian ‘Clean Energy Future’ policy, July 2012 to June 2014," Journal of Transport Geography, Elsevier, vol. 70(C), pages 206-214.
    14. Cui, Qiang & Li, Ye & Lin, Jing-ling, 2018. "Pollution abatement costs change decomposition for airlines: An analysis from a dynamic perspective," Transportation Research Part A: Policy and Practice, Elsevier, vol. 111(C), pages 96-107.
    15. Oesingmann, Katrin, 2022. "The effect of the European Emissions Trading System (EU ETS) on aviation demand: An empirical comparison with the impact of ticket taxes," Energy Policy, Elsevier, vol. 160(C).
    16. Joe Zhu, 2022. "DEA under big data: data enabled analytics and network data envelopment analysis," Annals of Operations Research, Springer, vol. 309(2), pages 761-783, February.
    17. Scheelhaase, Janina D., 2019. "How to regulate aviation's full climate impact as intended by the EU council from 2020 onwards," Journal of Air Transport Management, Elsevier, vol. 75(C), pages 68-74.
    18. Xingyun Yan & Lingyu Wang & Mingzhu Fang & Jie Hu, 2022. "How Can Industrial Parks Achieve Carbon Neutrality? Literature Review and Research Prospect Based on the CiteSpace Knowledge Map," Sustainability, MDPI, vol. 15(1), pages 1-29, December.

  88. Zhu, Bangzhu & Han, Dong & Chevallier, Julien & Wei, Yi-Ming, 2017. "Dynamic multiscale interactions between European carbon and electricity markets during 2005–2016," Energy Policy, Elsevier, vol. 107(C), pages 309-322.

    Cited by:

    1. Zhu, Bangzhu & Ye, Shunxin & Han, Dong & Wang, Ping & He, Kaijian & Wei, Yi-Ming & Xie, Rui, 2019. "A multiscale analysis for carbon price drivers," Energy Economics, Elsevier, vol. 78(C), pages 202-216.
    2. Sun, Wen & Hao, Xinyu & Zhang, Xiaoling, 2024. "Climate policy interactions: Capturing game signals in carbon markets," Renewable and Sustainable Energy Reviews, Elsevier, vol. 198(C).
    3. Qiao, Sen & Dang, Yi Jing & Ren, Zheng Yu & Zhang, Kai Quan, 2023. "The dynamic spillovers among carbon, fossil energy and electricity markets based on a TVP-VAR-SV method," Energy, Elsevier, vol. 266(C).
    4. Jing Deng & Yujie Zheng & Yun Zhang & Cheng Liu & Huanxue Pan, 2023. "Dynamic Spillovers between Carbon Price and Power Sector Returns in China: A Network-Based Analysis before and after Launching National Carbon Emissions Trading Market," Energies, MDPI, vol. 16(14), pages 1-27, July.
    5. Dmitriy O. Afanasyev & Elena A. Fedorova & Evgeniy V. Gilenko, 2021. "The fundamental drivers of electricity price: a multi-scale adaptive regression analysis," Empirical Economics, Springer, vol. 60(4), pages 1913-1938, April.
    6. Naeem, Muhammad Abubakr & Arfaoui, Nadia, 2023. "Exploring downside risk dependence across energy markets: Electricity, conventional energy, carbon, and clean energy during episodes of market crises," Energy Economics, Elsevier, vol. 127(PB).
    7. Gilmore, J. & Nolan, T. & Simshauser, P., 2022. "The Levelised Cost of Frequency Control Ancillary Services in Australia’s National Electricity Market," Cambridge Working Papers in Economics 2203, Faculty of Economics, University of Cambridge.
    8. Zhu, Bangzhu & Yuan, Lili & Ye, Shunxin, 2019. "Examining the multi-timescales of European carbon market with grey relational analysis and empirical mode decomposition," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 517(C), pages 392-399.
    9. Dai, Xingyu & Xiao, Ling & Wang, Qunwei & Dhesi, Gurjeet, 2021. "Multiscale interplay of higher-order moments between the carbon and energy markets during Phase III of the EU ETS," Energy Policy, Elsevier, vol. 156(C).
    10. Jiang, Kai & Wang, Kunyu & Wu, Chengyu & Chen, Guo & Xue, Yusheng & Dong, Zhaoyang & Liu, Nian, 2024. "Trajectory simulation and optimization for interactive electricity-carbon system evolution," Applied Energy, Elsevier, vol. 360(C).
    11. Zhu, Bangzhu & Huang, Liqing & Yuan, Lili & Ye, Shunxin & Wang, Ping, 2020. "Exploring the risk spillover effects between carbon market and electricity market: A bidimensional empirical mode decomposition based conditional value at risk approach," International Review of Economics & Finance, Elsevier, vol. 67(C), pages 163-175.
    12. Li, Yan & Feng, Tian-tian & Liu, Li-li & Zhang, Meng-xi, 2023. "How do the electricity market and carbon market interact and achieve integrated development?--A bibliometric-based review," Energy, Elsevier, vol. 265(C).
    13. Jiang, Wei & Chen, Yunfei, 2022. "The time-frequency connectedness among metal, energy and carbon markets pre and during COVID-19 outbreak," Resources Policy, Elsevier, vol. 77(C).
    14. Li, Wei & Sun, Wen & Li, Guomin & Jin, Baihui & Wu, Wen & Cui, Pengfei & Zhao, Guohao, 2018. "Transmission mechanism between energy prices and carbon emissions using geographically weighted regression," Energy Policy, Elsevier, vol. 115(C), pages 434-442.
    15. Hanif, Waqas & Arreola Hernandez, Jose & Mensi, Walid & Kang, Sang Hoon & Uddin, Gazi Salah & Yoon, Seong-Min, 2021. "Nonlinear dependence and connectedness between clean/renewable energy sector equity and European emission allowance prices," Energy Economics, Elsevier, vol. 101(C).
    16. Gong, Xu & Shi, Rong & Xu, Jun & Lin, Boqiang, 2021. "Analyzing spillover effects between carbon and fossil energy markets from a time-varying perspective," Applied Energy, Elsevier, vol. 285(C).
    17. Qing Peng & Fenghua Wen & Xu Gong, 2021. "Time‐dependent intrinsic correlation analysis of crude oil and the US dollar based on CEEMDAN," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(1), pages 834-848, January.
    18. Xie, Qiwei & Liu, Ranran & Qian, Tao & Li, Jingyu, 2021. "Linkages between the international crude oil market and the Chinese stock market: A BEKK-GARCH-AFD approach," Energy Economics, Elsevier, vol. 102(C).
    19. Xu, Yingying, 2021. "Risk spillover from energy market uncertainties to the Chinese carbon market," Pacific-Basin Finance Journal, Elsevier, vol. 67(C).
    20. Yanbin Li & Dan Nie & Bingkang Li & Xiyu Li, 2020. "The Spillover Effect between Carbon Emission Trading (CET) Price and Power Company Stock Price in China," Sustainability, MDPI, vol. 12(16), pages 1-17, August.

  89. Dominik Wiedenhofer & Dabo Guan & Zhu Liu & Jing Meng & Ning Zhang & Yi-Ming Wei, 2017. "Unequal household carbon footprints in China," Nature Climate Change, Nature, vol. 7(1), pages 75-80, January.
    See citations under working paper version above.
  90. Qin, Quande & Liang, Fuqi & Li, Li & Wei, Yi-Ming, 2017. "Selection of energy performance contracting business models: A behavioral decision-making approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 72(C), pages 422-433.

    Cited by:

    1. Jianghong Zhu & Bin Shuai & Rui Wang & Kwai-Sang Chin, 2019. "Risk Assessment for Failure Mode and Effects Analysis Using the Bonferroni Mean and TODIM Method," Mathematics, MDPI, vol. 7(6), pages 1-17, June.
    2. Yunna Wu & Jianli Zhou & Yong Hu & Lingwenying Li & Xiaokun Sun, 2018. "A TODIM-Based Investment Decision Framework for Commercial Distributed PV Projects under the Energy Performance Contracting (EPC) Business Model: A Case in East-Central China," Energies, MDPI, vol. 11(5), pages 1-27, May.
    3. Wenjie Zhang & Hongping Yuan, 2019. "Promoting Energy Performance Contracting for Achieving Urban Sustainability: What is the Research Trend?," Energies, MDPI, vol. 12(8), pages 1-18, April.
    4. Zhang, Minhui & Zhang, Qin & Zhou, Dequn & Wang, Lei, 2021. "Punishment or reward? Strategies of stakeholders in the quality of photovoltaic plants based on evolutionary game analysis in China," Energy, Elsevier, vol. 220(C).
    5. Jen Chun Wang & Kuo-Tsang Huang & Meng Yun Ko, 2019. "Using the Fuzzy Delphi Method to Study the Construction Needs of an Elementary Campus and Achieve Sustainability," Sustainability, MDPI, vol. 11(23), pages 1-13, December.
    6. Kowalska-Pyzalska, Anna, 2018. "What makes consumers adopt to innovative energy services in the energy market? A review of incentives and barriers," Renewable and Sustainable Energy Reviews, Elsevier, vol. 82(P3), pages 3570-3581.
    7. Daraio, Cinzia & Kerstens, Kristiaan & Nepomuceno, Thyago & Sickles, Robin C., 2019. "Empirical Surveys of Frontier Applications: A Meta-Review," Working Papers 19-005, Rice University, Department of Economics.
    8. Yuan, Jiahai & Li, Xinying & Xu, Chuanbo & Zhao, Changhong & Liu, Yuanxin, 2019. "Investment risk assessment of coal-fired power plants in countries along the Belt and Road initiative based on ANP-Entropy-TODIM method," Energy, Elsevier, vol. 176(C), pages 623-640.
    9. Liu, Guiwen & Zheng, Saina & Xu, Pengpeng & Zhuang, Taozhi, 2018. "An ANP-SWOT approach for ESCOs industry strategies in Chinese building sectors," Renewable and Sustainable Energy Reviews, Elsevier, vol. 93(C), pages 90-99.
    10. Shang, Tiancheng & Yang, Lan & Liu, Peihong & Shang, Kaiti & Zhang, Yan, 2020. "Financing mode of energy performance contracting projects with carbon emissions reduction potential and carbon emissions ratings," Energy Policy, Elsevier, vol. 144(C).
    11. Wu, Yunna & Liao, Mingjuan & Hu, Mengyao & Lin, Jiawei & Zhou, Jianli & Zhang, Buyuan & Xu, Chuanbo, 2020. "A decision framework of low-speed wind farm projects in hilly areas based on DEMATEL-entropy-TODIM method from the sustainability perspective: A case in China," Energy, Elsevier, vol. 213(C).
    12. Zhou, Yuanrong & Evans, Meredydd & Yu, Sha & Sun, Xiaoliang & Wang, Juemin, 2020. "Linkages between policy and business innovation in the development of China's energy performance contracting market," Energy Policy, Elsevier, vol. 140(C).
    13. Qian, Xiaohu & Fang, Shu-Cherng & Huang, Min & Wang, Xingwei, 2019. "Winner determination of loss-averse buyers with incomplete information in multiattribute reverse auctions for clean energy device procurement," Energy, Elsevier, vol. 177(C), pages 276-292.
    14. Huang, Jia & Li, Zhaojun(Steven) & Liu, Hu-Chen, 2017. "New approach for failure mode and effect analysis using linguistic distribution assessments and TODIM method," Reliability Engineering and System Safety, Elsevier, vol. 167(C), pages 302-309.
    15. Wenjie Zhang & Hongping Yuan, 2019. "A Bibliometric Analysis of Energy Performance Contracting Research from 2008 to 2018," Sustainability, MDPI, vol. 11(13), pages 1-23, June.
    16. Wang, Zhenfeng & Xu, Guangyin & Lin, Ruojue & Wang, Heng & Ren, Jingzheng, 2019. "Energy performance contracting, risk factors, and policy implications: Identification and analysis of risks based on the best-worst network method," Energy, Elsevier, vol. 170(C), pages 1-13.
    17. Xu, Song & Fang, Lei & Govindan, Kannan, 2022. "Energy performance contracting in a supply chain with financially asymmetric manufacturers under carbon tax regulation for climate change mitigation," Omega, Elsevier, vol. 106(C).

  91. Zhimin Huang & Yi-Ming Wei & Ke Wang & Hua Liao, 2017. "Energy economics and climate policy modeling," Annals of Operations Research, Springer, vol. 255(1), pages 1-7, August.

    Cited by:

    1. Xu Lei & Tang Shiyun & Deng Yanfei & Yuan Yuan, 2020. "Sustainable operation-oriented investment risk evaluation and optimization for renewable energy project: a case study of wind power in China," Annals of Operations Research, Springer, vol. 290(1), pages 223-241, July.
    2. Chenhao Fang & Tieju Ma, 2021. "Technology adoption with carbon emission trading mechanism: modeling with heterogeneous agents and uncertain carbon price," Annals of Operations Research, Springer, vol. 300(2), pages 577-600, May.
    3. Laura Laguna-Salvadó & Matthieu Lauras & Uche Okongwu & Tina Comes, 2019. "A multicriteria Master Planning DSS for a sustainable humanitarian supply chain," Annals of Operations Research, Springer, vol. 283(1), pages 1303-1343, December.
    4. Han, Yongming & Lou, Xiaoyi & Feng, Mingfei & Geng, Zhiqiang & Chen, Liangchao & Ping, Weiying & Lu, Gang, 2022. "Energy consumption analysis and saving of buildings based on static and dynamic input-output models," Energy, Elsevier, vol. 239(PC).
    5. Chinnadurai Kathiravan & Murugesan Selvam & Sankaran Venkateswar & S. Balakrishnan, 2021. "Investor behavior and weather factors: evidences from Asian region," Annals of Operations Research, Springer, vol. 299(1), pages 349-373, April.

  92. Yu, Biying & Ma, Ye & Xue, Meimei & Tang, Baojun & Wang, Bin & Yan, Jinyue & Wei, Yi-Ming, 2017. "Environmental benefits from ridesharing: A case of Beijing," Applied Energy, Elsevier, vol. 191(C), pages 141-152.

    Cited by:

    1. Bei Zhou & Xinfen Zhang & Shengrui Zhang & Zongzhi Li & Xin Liu, 2019. "Analysis of Factors Affecting Real-Time Ridesharing Vehicle Crash Severity," Sustainability, MDPI, vol. 11(12), pages 1-15, June.
    2. Dong, Xianlei & Wang, Ying & Li, Xufeng & Zhong, Zhenfang & Shen, Xinyi & Sun, Huijun & Hu, Beibei, 2023. "Understanding the influencing factors of taxi ride-sharing: A case study of Chengdu, China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 176(C).
    3. Qizhao Peng & Weiwei Wang & Xiaoyan Yang & Yi Wang & Jian Chen, 2023. "Research on Affective Interaction in Mini Public Transport Based on IPA-FMEA," Sustainability, MDPI, vol. 15(9), pages 1-21, April.
    4. Zhang, Yongping & Mi, Zhifu, 2018. "Environmental benefits of bike sharing: A big data-based analysis," Applied Energy, Elsevier, vol. 220(C), pages 296-301.
    5. Yining Liu & Yanfeng Ouyang, 2022. "Planning ride-pooling services with detour restrictions for spatially heterogeneous demand: A multi-zone queuing network approach," Papers 2208.02219, arXiv.org, revised Jun 2023.
    6. Ting Lu & Yan Xu & Linfan Chen & Lili Lu & Rui Ren, 2022. "The Potential of Carbon Emissions Reductions of Public Bikes," Sustainability, MDPI, vol. 14(22), pages 1-18, November.
    7. Yuanyuan Zhang & Yuming Zhang, 2018. "Examining the Relationship between Household Vehicle Ownership and Ridesharing Behaviors in the United States," Sustainability, MDPI, vol. 10(8), pages 1-24, August.
    8. Cai, Hua & Wang, Xi & Adriaens, Peter & Xu, Ming, 2019. "Environmental benefits of taxi ride sharing in Beijing," Energy, Elsevier, vol. 174(C), pages 503-508.
    9. Yi, Wenjing & Yan, Jie, 2020. "Energy consumption and emission influences from shared mobility in China: A national level annual data analysis," Applied Energy, Elsevier, vol. 277(C).
    10. Shixiong Jiang & Wei Guan & Zhengbing He & Liu Yang, 2018. "Measuring Taxi Accessibility Using Grid-Based Method with Trajectory Data," Sustainability, MDPI, vol. 10(9), pages 1-16, September.
    11. Zhang, Haoran & Chen, Jinyu & Li, Wenjing & Song, Xuan & Shibasaki, Ryosuke, 2020. "Mobile phone GPS data in urban ride-sharing: An assessment method for emission reduction potential," Applied Energy, Elsevier, vol. 269(C).
    12. Liu, Yining & Ouyang, Yanfeng, 2023. "Planning ride-pooling services with detour restrictions for spatially heterogeneous demand: A multi-zone queuing network approach," Transportation Research Part B: Methodological, Elsevier, vol. 174(C).
    13. Wang, Hai & Yang, Hai, 2019. "Ridesourcing systems: A framework and review," Transportation Research Part B: Methodological, Elsevier, vol. 129(C), pages 122-155.
    14. Ye Ma & Biying Yu & Meimei Xue, 2018. "Spatial Heterogeneous Characteristics of Ridesharing in Beijing–Tianjin–Hebei Region of China," Energies, MDPI, vol. 11(11), pages 1-21, November.
    15. Eva Malichová & Ghadir Pourhashem & Tatiana Kováčiková & Martin Hudák, 2020. "Users’ Perception of Value of Travel Time and Value of Ridesharing Impacts on Europeans’ Ridesharing Participation Intention: A Case Study Based on MoTiV European-Wide Mobility and Behavioral Pattern ," Sustainability, MDPI, vol. 12(10), pages 1-19, May.
    16. Lei, Chao & Jiang, Zhoutong & Ouyang, Yanfeng, 2020. "Path-based dynamic pricing for vehicle allocation in ridesharing systems with fully compliant drivers," Transportation Research Part B: Methodological, Elsevier, vol. 132(C), pages 60-75.
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    18. Liu, Yixiao & Tian, Zihao & Pan, Baoran & Zhang, Wenbin & Liu, Yunqi & Tian, Lixin, 2022. "A hybrid big-data-based and tolerance-based method to estimate environmental benefits of electric bike sharing," Applied Energy, Elsevier, vol. 315(C).
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    20. Xiaomei Li & Yiwen Zhang & Zijie Yang & Yijun Zhu & Cihang Li & Wenxiang Li, 2023. "Modeling Choice Behaviors for Ridesplitting under a Carbon Credit Scheme," Sustainability, MDPI, vol. 15(16), pages 1-17, August.
    21. Tu, Wei & Santi, Paolo & Zhao, Tianhong & He, Xiaoyi & Li, Qingquan & Dong, Lei & Wallington, Timothy J. & Ratti, Carlo, 2019. "Acceptability, energy consumption, and costs of electric vehicle for ride-hailing drivers in Beijing," Applied Energy, Elsevier, vol. 250(C), pages 147-160.
    22. Li, Yongjian & Feng, Lipan & Govindan, Kannan & Xu, Fangchao, 2019. "Effects of a secondary market on original equipment manufactures’ pricing, trade-in remanufacturing, and entry decisions," European Journal of Operational Research, Elsevier, vol. 279(3), pages 751-766.
    23. Yu, Guodong & Liu, Aijun & Zhang, Jianghua & Sun, Huiping, 2021. "Optimal operations planning of electric autonomous vehicles via asynchronous learning in ride-hailing systems," Omega, Elsevier, vol. 103(C).
    24. Sandra Melo & Rui Gomes & Reza Abbasi & Amílcar Arantes, 2024. "Demand-Responsive Transport for Urban Mobility: Integrating Mobile Data Analytics to Enhance Public Transportation Systems," Sustainability, MDPI, vol. 16(11), pages 1-18, May.
    25. Sun, Lishan & Wang, Shunchao & Liu, Shuli & Yao, Liya & Luo, Wei & Shukla, Ashish, 2018. "A completive research on the feasibility and adaptation of shared transportation in mega-cities – A case study in Beijing," Applied Energy, Elsevier, vol. 230(C), pages 1014-1033.
    26. Wali, Behram & Santi, Paolo & Ratti, Carlo, 2023. "Are californians willing to use shared automated vehicles (SAV) & renounce existing vehicles? An empirical analysis of factors determining SAV use & household vehicle ownership," Technological Forecasting and Social Change, Elsevier, vol. 195(C).
    27. AlKheder, Sharaf, 2021. "Taxi Ride sharing in Kuwait: Econ-enviro study," Energy, Elsevier, vol. 225(C).
    28. de Oliveira Souza, Camilla & Vitorino Guimarães, Gabriella & da Cruz Saldanha, Luiz Emerson & Almeida Corrêa do Nascimento, Filipe & Floriano dos Santos, Tálita & Vieira da Silva, Marcelino Aurélio, 2021. "Analysis of job accessibility promoted by ride hailing services: A proposed method," Journal of Transport Geography, Elsevier, vol. 93(C).
    29. Mourad, Abood & Puchinger, Jakob & Chu, Chengbin, 2019. "A survey of models and algorithms for optimizing shared mobility," Transportation Research Part B: Methodological, Elsevier, vol. 123(C), pages 323-346.
    30. Yuanyuan Zhang & Yuming Zhang, 2018. "Exploring the Relationship between Ridesharing and Public Transit Use in the United States," IJERPH, MDPI, vol. 15(8), pages 1-23, August.
    31. Charles David A. Icasiano & Araz Taeihagh, 2021. "Governance of the Risks of Ridesharing in Southeast Asia: An In-Depth Analysis," Sustainability, MDPI, vol. 13(11), pages 1-32, June.
    32. Fan, Wenbo & Gu, Weihua & Xu, Meng, 2024. "Optimal design of ride-pooling as on-demand feeder services," Transportation Research Part B: Methodological, Elsevier, vol. 185(C).
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    35. Zilong Zhao & Mengyuan Fang & Luliang Tang & Xue Yang & Zihan Kan & Qingquan Li, 2022. "The Impact of Community Shuttle Services on Traffic and Traffic-Related Air Pollution," IJERPH, MDPI, vol. 19(22), pages 1-21, November.
    36. Shang, Wen-Long & Chen, Jinyu & Bi, Huibo & Sui, Yi & Chen, Yanyan & Yu, Haitao, 2021. "Impacts of COVID-19 pandemic on user behaviors and environmental benefits of bike sharing: A big-data analysis," Applied Energy, Elsevier, vol. 285(C).
    37. Taiebat, Morteza & Stolper, Samuel & Xu, Ming, 2022. "Widespread range suitability and cost competitiveness of electric vehicles for ride-hailing drivers," Applied Energy, Elsevier, vol. 319(C).
    38. Daganzo, Carlos F. & Ouyang, Yanfeng, 2019. "A general model of demand-responsive transportation services: From taxi to ridesharing to dial-a-ride," Transportation Research Part B: Methodological, Elsevier, vol. 126(C), pages 213-224.

  93. Han, Rong & Yu, Bi-Ying & Tang, Bao-Jun & Liao, Hua & Wei, Yi-Ming, 2017. "Carbon emissions quotas in the Chinese road transport sector: A carbon trading perspective," Energy Policy, Elsevier, vol. 106(C), pages 298-309.

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    1. Bao-Jun Tang & Yu-Jie Hu, 2019. "How to Allocate the Allowance for the Aviation Industry in China’s Emissions Trading System," Sustainability, MDPI, vol. 11(9), pages 1-18, May.
    2. Liu, Jiaguo & Li, Sujuan & Ji, Qiang, 2021. "Regional differences and driving factors analysis of carbon emission intensity from transport sector in China," Energy, Elsevier, vol. 224(C).
    3. Wanke, Peter Fernandes & Chiappetta Jabbour, Charbel José & Moreira Antunes, Jorge Junio & Lopes de Sousa Jabbour, Ana Beatriz & Roubaud, David & Sobreiro, Vinicius Amorim & Santibanez Gonzalez‬, Erne, 2021. "An original information entropy-based quantitative evaluation model for low-carbon operations in an emerging market," International Journal of Production Economics, Elsevier, vol. 234(C).
    4. Ülengin, Füsun & Işık, Mine & Ekici, Şule Önsel & Özaydın, Özay & Kabak, Özgür & Topçu, Y. İlker, 2018. "Policy developments for the reduction of climate change impacts by the transportation sector," Transport Policy, Elsevier, vol. 61(C), pages 36-50.
    5. Liu, Yajuan & Wang, Yutao & Mi, Zhifu & Ma, Zhongyu, 2018. "Carbon implications of China’s changing economic structure at the city level," Structural Change and Economic Dynamics, Elsevier, vol. 46(C), pages 163-171.
    6. Bai, Muren & Li, Cunbin, 2024. "Research on the allocation scheme of carbon emission allowances for China's provincial power grids," Energy, Elsevier, vol. 299(C).
    7. Ou, Shiqi & Lin, Zhenhong & Xu, Guoquan & Hao, Xu & Li, Hongwei & Gao, Zhiming & He, Xin & Przesmitzki, Steven & Bouchard, Jessey, 2020. "The retailed gasoline price in China: Time-series analysis and future trend projection," Energy, Elsevier, vol. 191(C).
    8. Yali Zhang & Yihan Wang & Xiaoshu Hou, 2019. "Carbon Mitigation for Industrial Sectors in the Jing-Jin-Ji Urban Agglomeration, China," Sustainability, MDPI, vol. 11(22), pages 1-13, November.
    9. Yin, Chuanzhong & Zhang, Zi-Ang & Fu, Xiaowen & Ge, Ying-En, 2024. "A low-carbon transportation network: Collaborative effects of a rail freight subsidy and carbon trading mechanism," Transportation Research Part A: Policy and Practice, Elsevier, vol. 184(C).
    10. Ye Ma & Biying Yu & Meimei Xue, 2018. "Spatial Heterogeneous Characteristics of Ridesharing in Beijing–Tianjin–Hebei Region of China," Energies, MDPI, vol. 11(11), pages 1-21, November.
    11. Cui, Lixin & Dong, Ruxue & Mu, Yunguo & Shen, Zhiyang & Xu, Jiatong, 2022. "How policy preferences affect the carbon shadow price in the OECD," Applied Energy, Elsevier, vol. 311(C).
    12. Abdelghani Bekrar & Abdessamad Ait El Cadi & Raca Todosijevic & Joseph Sarkis, 2021. "Digitalizing the Closing-of-the-Loop for Supply Chains: A Transportation and Blockchain Perspective," Sustainability, MDPI, vol. 13(5), pages 1-25, March.
    13. Shuai Zhang & Xiaoman Zhao & Changwei Yuan & Xiu Wang, 2020. "Technological Bias and Its Influencing Factors in Sustainable Development of China’s Transportation," Sustainability, MDPI, vol. 12(14), pages 1-26, July.
    14. Tang, Ling & Wang, Haohan & Li, Ling & Yang, Kaitong & Mi, Zhifu, 2020. "Quantitative models in emission trading system research: A literature review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 132(C).
    15. Sun, Ya-Fang & Zhang, Yue-Jun & Su, Bin, 2022. "How does global transport sector improve the emissions reduction performance? A demand-side analysis," Applied Energy, Elsevier, vol. 311(C).
    16. Bingxin Zeng & Jun Xie & Xiaobing Zhang & Yang Yu & Lei Zhu, 2020. "The impacts of emission trading scheme on China’s thermal power industry: A pre-evaluation from the micro level," Energy & Environment, , vol. 31(6), pages 1007-1030, September.
    17. Fang Wan & Jizu Li, 2023. "Responsibility Allocation of Provincial Industry Emission Reduction from the Perspective of Industrial Linkages—A Case Study of Shanxi Province," Sustainability, MDPI, vol. 15(12), pages 1-14, June.
    18. Shaofu Du & Jun Qian & Tianzhuo Liu & Li Hu, 2020. "Emission allowance allocation mechanism design: a low-carbon operations perspective," Annals of Operations Research, Springer, vol. 291(1), pages 247-280, August.
    19. Zhixiong Weng & Cuiyun Cheng & Yang Xie & Hao Ma, 2022. "Reduction Effect of Carbon Emission Trading Policy in Decreasing PM 2.5 Concentrations in China," IJERPH, MDPI, vol. 19(23), pages 1-12, December.
    20. Ou, Shiqi & Lin, Zhenhong & Qi, Liang & Li, Jie & He, Xin & Przesmitzki, Steven, 2018. "The dual-credit policy: Quantifying the policy impact on plug-in electric vehicle sales and industry profits in China," Energy Policy, Elsevier, vol. 121(C), pages 597-610.
    21. Jose L. Arroyo & Ángel Felipe & M. Teresa Ortuño & Gregorio Tirado, 2020. "Effectiveness of carbon pricing policies for promoting urban freight electrification: analysis of last mile delivery in Madrid," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 28(4), pages 1417-1440, December.
    22. Ma, Haicheng & Lou, Gaoxiang & Fan, Tijun & Chan, Hing Kai & Chung, Sai Ho, 2021. "Conventional automotive supply chains under China's dual-credit policy: fuel economy, production and coordination," Energy Policy, Elsevier, vol. 151(C).
    23. Xiangyang Yu & Xiaojing Wang, 2023. "Research on Carbon-Trading Model of Urban Public Transport Based on Blockchain Technology," Energies, MDPI, vol. 16(6), pages 1-21, March.

  94. Zhu, Bangzhu & Han, Dong & Wang, Ping & Wu, Zhanchi & Zhang, Tao & Wei, Yi-Ming, 2017. "Forecasting carbon price using empirical mode decomposition and evolutionary least squares support vector regression," Applied Energy, Elsevier, vol. 191(C), pages 521-530.

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    1. Xiangjun Chen & Bo Yan, 2024. "Research on jumps and volatility in China’s carbon market," Economic Change and Restructuring, Springer, vol. 57(1), pages 1-43, February.
    2. Tang, Ling & Wu, Yao & Yu, Lean, 2018. "A randomized-algorithm-based decomposition-ensemble learning methodology for energy price forecasting," Energy, Elsevier, vol. 157(C), pages 526-538.
    3. Ding, Yishan, 2018. "A novel decompose-ensemble methodology with AIC-ANN approach for crude oil forecasting," Energy, Elsevier, vol. 154(C), pages 328-336.
    4. Gao, Feng & Shao, Xueyan, 2022. "A novel interval decomposition ensemble model for interval carbon price forecasting," Energy, Elsevier, vol. 243(C).
    5. Huang, Wenyang & Wang, Huiwen & Qin, Haotong & Wei, Yigang & Chevallier, Julien, 2022. "Convolutional neural network forecasting of European Union allowances futures using a novel unconstrained transformation method," Energy Economics, Elsevier, vol. 110(C).
    6. Tianqi Pang & Kehui Tan & Chenyou Fan, 2023. "Carbon Price Forecasting with Quantile Regression and Feature Selection," Papers 2305.03224, arXiv.org.
    7. Xie, Qiwei & Hao, Jingjing & Li, Jingyu & Zheng, Xiaolong, 2022. "Carbon price prediction considering climate change: A text-based framework," Economic Analysis and Policy, Elsevier, vol. 74(C), pages 382-401.
    8. Song, Yazhi & Liu, Tiansen & Liang, Dapeng & Li, Yin & Song, Xiaoqiu, 2019. "A Fuzzy Stochastic Model for Carbon Price Prediction Under the Effect of Demand-related Policy in China's Carbon Market," Ecological Economics, Elsevier, vol. 157(C), pages 253-265.
    9. Wang, Jujie & Zhuang, Zhenzhen & Gao, Dongming, 2023. "An enhanced hybrid model based on multiple influencing factors and divide-conquer strategy for carbon price prediction," Omega, Elsevier, vol. 120(C).
    10. Fu, Guoyin, 2018. "Deep belief network based ensemble approach for cooling load forecasting of air-conditioning system," Energy, Elsevier, vol. 148(C), pages 269-282.
    11. Gulay, Emrah & Sen, Mustafa & Akgun, Omer Burak, 2024. "Forecasting electricity production from various energy sources in Türkiye: A predictive analysis of time series, deep learning, and hybrid models," Energy, Elsevier, vol. 286(C).
    12. Huang, Wenyang & Zhao, Jianyu & Wang, Xiaokang, 2024. "Model-driven multimodal LSTM-CNN for unbiased structural forecasting of European Union allowances open-high-low-close price," Energy Economics, Elsevier, vol. 132(C).
    13. He, Kaijian & Tso, Geoffrey K.F. & Zou, Yingchao & Liu, Jia, 2018. "Crude oil risk forecasting: New evidence from multiscale analysis approach," Energy Economics, Elsevier, vol. 76(C), pages 574-583.
    14. Katarzyna Rudnik & Anna Hnydiuk-Stefan & Aneta Kucińska-Landwójtowicz & Łukasz Mach, 2022. "Forecasting Day-Ahead Carbon Price by Modelling Its Determinants Using the PCA-Based Approach," Energies, MDPI, vol. 15(21), pages 1-23, October.
    15. García-Nieto, P.J. & García-Gonzalo, E. & Fernández, J.R. Alonso & Muñiz, C. Díaz, 2019. "Modeling of the algal atypical increase in La Barca reservoir using the DE optimized least square support vector machine approach with feature selection," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 166(C), pages 461-480.
    16. Lin, Boqiang & Jia, Zhijie, 2020. "Does the different sectoral coverage matter? An analysis of China's carbon trading market," Energy Policy, Elsevier, vol. 137(C).
    17. Zhu, Jiaming & Wu, Peng & Chen, Huayou & Liu, Jinpei & Zhou, Ligang, 2019. "Carbon price forecasting with variational mode decomposition and optimal combined model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 519(C), pages 140-158.
    18. Wang, Jujie & Xu, Wenjie & Zhang, Yue & Dong, Jian, 2022. "A novel air quality prediction and early warning system based on combined model of optimal feature extraction and intelligent optimization," Chaos, Solitons & Fractals, Elsevier, vol. 158(C).
    19. Zhao, Xin & Han, Meng & Ding, Lili & Kang, Wanglin, 2018. "Usefulness of economic and energy data at different frequencies for carbon price forecasting in the EU ETS," Applied Energy, Elsevier, vol. 216(C), pages 132-141.
    20. Lin, Boqiang & Jia, Zhijie, 2019. "What will China's carbon emission trading market affect with only electricity sector involvement? A CGE based study," Energy Economics, Elsevier, vol. 78(C), pages 301-311.
    21. Jin Chen & Yue Chen & Wei Zhou, 2024. "Relation exploration between clean and fossil energy markets when experiencing climate change uncertainties: substitutes or complements?," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-17, December.
    22. Han, Meng & Ding, Lili & Zhao, Xin & Kang, Wanglin, 2019. "Forecasting carbon prices in the Shenzhen market, China: The role of mixed-frequency factors," Energy, Elsevier, vol. 171(C), pages 69-76.
    23. Piao Wang & Shahid Hussain Gurmani & Zhifu Tao & Jinpei Liu & Huayou Chen, 2024. "Interval time series forecasting: A systematic literature review," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 43(2), pages 249-285, March.
    24. Lin, Yu & Liao, Qidong & Lin, Zixiao & Tan, Bin & Yu, Yuanyuan, 2022. "A novel hybrid model integrating modified ensemble empirical mode decomposition and LSTM neural network for multi-step precious metal prices prediction," Resources Policy, Elsevier, vol. 78(C).
    25. Qingjie Zhou & Panpan Zhu & Yinpeng Zhang, 2023. "Contagion Spillover from Bitcoin to Carbon Futures Pricing: Perspective from Investor Attention," Energies, MDPI, vol. 16(2), pages 1-22, January.
    26. Hu, Huanling & Wang, Lin & Lv, Sheng-Xiang, 2020. "Forecasting energy consumption and wind power generation using deep echo state network," Renewable Energy, Elsevier, vol. 154(C), pages 598-613.
    27. Lei, Heng & Xue, Minggao & Liu, Huiling, 2022. "Probability distribution forecasting of carbon allowance prices: A hybrid model considering multiple influencing factors," Energy Economics, Elsevier, vol. 113(C).
    28. Yihui Chen & Minjie Li, 2019. "Evaluation of influencing factors on tea production based on random forest regression and mean impact value," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 65(7), pages 340-347.
    29. Jujie Wang & Zhenzhen Zhuang, 2023. "A novel cluster based multi-index nonlinear ensemble framework for carbon price forecasting," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(7), pages 6225-6247, July.
    30. Liu, Weiping & Wang, Chengzhu & Li, Yonggang & Liu, Yishun & Huang, Keke, 2021. "Ensemble forecasting for product futures prices using variational mode decomposition and artificial neural networks," Chaos, Solitons & Fractals, Elsevier, vol. 146(C).
    31. Weijie Zhou & Huihui Tao & Jiaxin Chang & Huimin Jiang & Li Chen, 2023. "Forecasting Chinese Electricity Consumption Based on Grey Seasonal Model with New Information Priority," Sustainability, MDPI, vol. 15(4), pages 1-20, February.
    32. Miguel A. Jaramillo-Morán & Daniel Fernández-Martínez & Agustín García-García & Diego Carmona-Fernández, 2021. "Improving Artificial Intelligence Forecasting Models Performance with Data Preprocessing: European Union Allowance Prices Case Study," Energies, MDPI, vol. 14(23), pages 1-23, November.
    33. Xu, Hua & Wang, Minggang & Jiang, Shumin & Yang, Weiguo, 2020. "Carbon price forecasting with complex network and extreme learning machine," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 545(C).
    34. Niu, Xinsong & Wang, Jiyang & Wei, Danxiang & Zhang, Lifang, 2022. "A combined forecasting framework including point prediction and interval prediction for carbon emission trading prices," Renewable Energy, Elsevier, vol. 201(P1), pages 46-59.
    35. Jujie Wang & Shiyao Qiu, 2021. "Improved Multi-Scale Deep Integration Paradigm for Point and Interval Carbon Trading Price Forecasting," Mathematics, MDPI, vol. 9(20), pages 1-20, October.
    36. Yumin Li & Ruiqi Yang & Xiaoman Wang & Jiaming Zhu & Nan Song, 2023. "Carbon Price Combination Forecasting Model Based on Lasso Regression and Optimal Integration," Sustainability, MDPI, vol. 15(12), pages 1-26, June.
    37. Wei Sun & Ming Duan, 2019. "Analysis and Forecasting of the Carbon Price in China’s Regional Carbon Markets Based on Fast Ensemble Empirical Mode Decomposition, Phase Space Reconstruction, and an Improved Extreme Learning Machin," Energies, MDPI, vol. 12(2), pages 1-27, January.
    38. Zhang, Chen & Yang, Yu & Yun, Po, 2020. "Risk measurement of international carbon market based on multiple risk factors heterogeneous dependence," Finance Research Letters, Elsevier, vol. 32(C).
    39. Shao, Liuguo & Zhang, Hua, 2020. "The impact of oil price on the clean energy metal prices: A multi-scale perspective," Resources Policy, Elsevier, vol. 68(C).
    40. Gulay, Emrah & Duru, Okan, 2020. "Hybrid modeling in the predictive analytics of energy systems and prices," Applied Energy, Elsevier, vol. 268(C).
    41. Kaijian He & Qian Yang & Lei Ji & Jingcheng Pan & Yingchao Zou, 2023. "Financial Time Series Forecasting with the Deep Learning Ensemble Model," Mathematics, MDPI, vol. 11(4), pages 1-15, February.
    42. Chuang Yin & Nan Wei & Jinghang Wu & Chuhong Ruan & Xi Luo & Fanhua Zeng, 2024. "An Empirical Mode Decomposition-Based Hybrid Model for Sub-Hourly Load Forecasting," Energies, MDPI, vol. 17(2), pages 1-17, January.
    43. Liu, Shuihan & Xie, Gang & Wang, Zhengzhong & Wang, Shouyang, 2024. "A secondary decomposition-ensemble framework for interval carbon price forecasting," Applied Energy, Elsevier, vol. 359(C).
    44. Xu, Yifan & Che, Jinxing & Xia, Wenxin & Hu, Kun & Jiang, Weirui, 2024. "A novel paradigm: Addressing real-time decomposition challenges in carbon price prediction," Applied Energy, Elsevier, vol. 364(C).
    45. Yan, Kai & Zhang, Wei & Shen, Dehua, 2020. "Stylized facts of the carbon emission market in China," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 555(C).
    46. Bangzhu Zhu & Jingyi Zhang & Chunzhuo Wan & Julien Chevallier & Ping Wang, 2023. "An evolutionary cost‐sensitive support vector machine for carbon price trend forecasting," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(4), pages 741-755, July.
    47. Li, Dan & Li, Yijun & Wang, Chaoqun & Chen, Min & Wu, Qi, 2023. "Forecasting carbon prices based on real-time decomposition and causal temporal convolutional networks," Applied Energy, Elsevier, vol. 331(C).
    48. Jianguo Zhou & Xuechao Yu & Xiaolei Yuan, 2018. "Predicting the Carbon Price Sequence in the Shenzhen Emissions Exchange Using a Multiscale Ensemble Forecasting Model Based on Ensemble Empirical Mode Decomposition," Energies, MDPI, vol. 11(7), pages 1-17, July.
    49. Qi, Shaozhou & Cheng, Shihan & Tan, Xiujie & Feng, Shenghao & Zhou, Qi, 2022. "Predicting China's carbon price based on a multi-scale integrated model," Applied Energy, Elsevier, vol. 324(C).
    50. Juan Luis Martín-Ortega & Javier Chornet & Ioannis Sebos & Sander Akkermans & María José López Blanco, 2024. "Enhancing Transparency of Climate Efforts: MITICA’s Integrated Approach to Greenhouse Gas Mitigation," Sustainability, MDPI, vol. 16(10), pages 1-35, May.
    51. Qin, Chaoyong & Qin, Dongling & Jiang, Qiuxian & Zhu, Bangzhu, 2024. "Forecasting carbon price with attention mechanism and bidirectional long short-term memory network," Energy, Elsevier, vol. 299(C).
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    53. Fang, Guochang & Tian, Lixin & Liu, Menghe & Fu, Min & Sun, Mei, 2018. "How to optimize the development of carbon trading in China—Enlightenment from evolution rules of the EU carbon price," Applied Energy, Elsevier, vol. 211(C), pages 1039-1049.
    54. Xing Zhang & Chongchong Zhang & Zhuoqun Wei, 2019. "Carbon Price Forecasting Based on Multi-Resolution Singular Value Decomposition and Extreme Learning Machine Optimized by the Moth–Flame Optimization Algorithm Considering Energy and Economic Factors," Energies, MDPI, vol. 12(22), pages 1-23, November.
    55. Xing Zhang, 2018. "Short-Term Load Forecasting for Electric Bus Charging Stations Based on Fuzzy Clustering and Least Squares Support Vector Machine Optimized by Wolf Pack Algorithm," Energies, MDPI, vol. 11(6), pages 1-18, June.
    56. Zeng, Sheng & Su, Bin & Zhang, Minglong & Gao, Yuan & Liu, Jun & Luo, Song & Tao, Qingmei, 2021. "Analysis and forecast of China's energy consumption structure," Energy Policy, Elsevier, vol. 159(C).
    57. Tang, Ling & Wang, Haohan & Li, Ling & Yang, Kaitong & Mi, Zhifu, 2020. "Quantitative models in emission trading system research: A literature review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 132(C).
    58. Wang, Bo & Gong, Siyu & Yang, Yang, 2024. "Unveiling the relation between digital technology and low-carbon innovation: Carbon emission trading policy as an antecedent," Technological Forecasting and Social Change, Elsevier, vol. 205(C).
    59. Jianguo Zhou & Qiqi Wang, 2021. "Forecasting Carbon Price with Secondary Decomposition Algorithm and Optimized Extreme Learning Machine," Sustainability, MDPI, vol. 13(15), pages 1-17, July.
    60. Houjian Li & Xinya Huang & Deheng Zhou & Andi Cao & Mengying Su & Yufeng Wang & Lili Guo, 2022. "Forecasting Carbon Price in China: A Multimodel Comparison," IJERPH, MDPI, vol. 19(10), pages 1-16, May.
    61. Haoran Zhao & Sen Guo, 2023. "Carbon Trading Price Prediction of Three Carbon Trading Markets in China Based on a Hybrid Model Combining CEEMDAN, SE, ISSA, and MKELM," Mathematics, MDPI, vol. 11(10), pages 1-21, May.
    62. Xu Gong & Mengjie Li & Keqin Guan & Chuanwang Sun, 2023. "Climate change attention and carbon futures return prediction," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 43(9), pages 1261-1288, September.
    63. Xiao, Jin & Li, Yuxi & Xie, Ling & Liu, Dunhu & Huang, Jing, 2018. "A hybrid model based on selective ensemble for energy consumption forecasting in China," Energy, Elsevier, vol. 159(C), pages 534-546.
    64. E, Jianwei & Ye, Jimin & He, Lulu & Jin, Haihong, 2019. "Energy price prediction based on independent component analysis and gated recurrent unit neural network," Energy, Elsevier, vol. 189(C).
    65. Wang, Piao & Tao, Zhifu & Liu, Jinpei & Chen, Huayou, 2023. "Improving the forecasting accuracy of interval-valued carbon price from a novel multi-scale framework with outliers detection: An improved interval-valued time series analysis mode," Energy Economics, Elsevier, vol. 118(C).
    66. Peng Ye & Yong Li & Abu Bakkar Siddik, 2023. "Forecasting the Return of Carbon Price in the Chinese Market Based on an Improved Stacking Ensemble Algorithm," Energies, MDPI, vol. 16(11), pages 1-39, June.
    67. Peng Chen & Andrew Vivian & Cheng Ye, 2022. "Forecasting carbon futures price: a hybrid method incorporating fuzzy entropy and extreme learning machine," Annals of Operations Research, Springer, vol. 313(1), pages 559-601, June.
    68. Kuangxi Su & Yinhong Yao & Chengli Zheng & Wenzhao Xie, 2024. "Portfolio Selection Based on EMD Denoising with Correlation Coefficient Test Criterion," Computational Economics, Springer;Society for Computational Economics, vol. 63(1), pages 391-421, January.
    69. Shenghua Xiong & Chunfeng Wang & Zhenming Fang & Dan Ma, 2019. "Multi-Step-Ahead Carbon Price Forecasting Based on Variational Mode Decomposition and Fast Multi-Output Relevance Vector Regression Optimized by the Multi-Objective Whale Optimization Algorithm," Energies, MDPI, vol. 12(1), pages 1-21, January.
    70. Chen, Linfei & Zhao, Xuefeng, 2024. "A multiscale and multivariable differentiated learning for carbon price forecasting," Energy Economics, Elsevier, vol. 131(C).
    71. Wiryadinata, Steven & Morejohn, Josh & Kornbluth, Kurt, 2019. "Pathways to carbon neutral energy systems at the University of California, Davis," Renewable Energy, Elsevier, vol. 130(C), pages 853-866.
    72. Huang, Yumeng & Dai, Xingyu & Wang, Qunwei & Zhou, Dequn, 2021. "A hybrid model for carbon price forecastingusing GARCH and long short-term memory network," Applied Energy, Elsevier, vol. 285(C).
    73. Wang, Jun & Cao, Junxing & Yuan, Shan & Cheng, Ming, 2021. "Short-term forecasting of natural gas prices by using a novel hybrid method based on a combination of the CEEMDAN-SE-and the PSO-ALS-optimized GRU network," Energy, Elsevier, vol. 233(C).
    74. Zhou, Feite & Huang, Zhehao & Zhang, Changhong, 2022. "Carbon price forecasting based on CEEMDAN and LSTM," Applied Energy, Elsevier, vol. 311(C).
    75. Jianguo Zhou & Shiguo Wang, 2021. "A Carbon Price Prediction Model Based on the Secondary Decomposition Algorithm and Influencing Factors," Energies, MDPI, vol. 14(5), pages 1-20, March.
    76. Jesús Molina‐Muñoz & Andrés Mora‐Valencia & Javier Perote, 2024. "Predicting carbon and oil price returns using hybrid models based on machine and deep learning," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 31(2), June.
    77. Dai, Yeming & Yang, Xinyu & Leng, Mingming, 2022. "Forecasting power load: A hybrid forecasting method with intelligent data processing and optimized artificial intelligence," Technological Forecasting and Social Change, Elsevier, vol. 182(C).
    78. Tan, Xueping & Sirichand, Kavita & Vivian, Andrew & Wang, Xinyu, 2022. "Forecasting European carbon returns using dimension reduction techniques: Commodity versus financial fundamentals," International Journal of Forecasting, Elsevier, vol. 38(3), pages 944-969.
    79. Sun, Wei & Zhang, Chongchong, 2018. "Analysis and forecasting of the carbon price using multi—resolution singular value decomposition and extreme learning machine optimized by adaptive whale optimization algorithm," Applied Energy, Elsevier, vol. 231(C), pages 1354-1371.
    80. Fansheng Meng & Rong Dou, 2024. "Prophet-LSTM-BP Ensemble Carbon Trading Price Prediction Model," Computational Economics, Springer;Society for Computational Economics, vol. 63(5), pages 1805-1825, May.
    81. Wen Zhang & Zhibin Wu, 2022. "Optimal hybrid framework for carbon price forecasting using time series analysis and least squares support vector machine," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 41(3), pages 615-632, April.
    82. Wang, Minggang & Zhu, Mengrui & Tian, Lixin, 2022. "A novel framework for carbon price forecasting with uncertainties," Energy Economics, Elsevier, vol. 112(C).

  95. Jing-Li Fan & Qian Wang & Shiwei Yu & Yun-Bing Hou & Yi-Ming Wei, 2017. "The evolution of CO2 emissions in international trade for major economies: a perspective from the global supply chain," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 22(8), pages 1229-1248, December.

    Cited by:

    1. Wang, Wenya & Li, Zhenfu & Cheng, Xin, 2019. "Evolution of the global coal trade network: A complex network analysis," Resources Policy, Elsevier, vol. 62(C), pages 496-506.
    2. Fan, Jing-Li & Da, Ya-Bin & Wan, Si-Lai & Zhang, Mian & Cao, Zhe & Wang, Yu & Zhang, Xian, 2019. "Determinants of carbon emissions in ‘Belt and Road initiative’ countries: A production technology perspective," Applied Energy, Elsevier, vol. 239(C), pages 268-279.
    3. Li, Y.L. & Chen, B. & Chen, G.Q., 2020. "Carbon network embodied in international trade: Global structural evolution and its policy implications," Energy Policy, Elsevier, vol. 139(C).
    4. Ming Wen & Mingxing Li & Naila Erum & Abid Hussain & Haoyang Xie & Hira Salah ud din Khan, 2021. "Revisiting Environmental Kuznets Curve in Relation to Economic Development and Energy Carbon Emission Efficiency: Evidence from Suzhou, China," Energies, MDPI, vol. 15(1), pages 1-15, December.
    5. Abdul Rehman & Mohammad Mahtab Alam & Magdalena Radulescu & Rafael Alvarado & Daniela Mihai & Madalina Brutu, 2022. "A Novel Investigation to Explore the Impact of Renewable Energy, Urbanization, and Trade on Carbon Emission in Bhutan," Energies, MDPI, vol. 15(9), pages 1-17, April.

  96. Zhen, Wei & Qin, Quande & Wei, Yi-Ming, 2017. "Spatio-temporal patterns of energy consumption-related GHG emissions in China's crop production systems," Energy Policy, Elsevier, vol. 104(C), pages 274-284.

    Cited by:

    1. Lin, Boqiang & Xu, Bin, 2018. "How to promote the growth of new energy industry at different stages?," Energy Policy, Elsevier, vol. 118(C), pages 390-403.
    2. Zhao, Rongqin & Liu, Ying & Tian, Mengmeng & Ding, Minglei & Cao, Lianhai & Zhang, Zhanping & Chuai, Xiaowei & Xiao, Liangang & Yao, Lunguang, 2018. "Impacts of water and land resources exploitation on agricultural carbon emissions: The water-land-energy-carbon nexus," Land Use Policy, Elsevier, vol. 72(C), pages 480-492.
    3. Zhen, Wei & Qin, Quande & Miao, Lu, 2023. "The greenhouse gas rebound effect from increased energy efficiency across China's staple crops," Energy Policy, Elsevier, vol. 173(C).
    4. Yuanying Chi & Yangmei Xu & Xu Wang & Feng Jin & Jialin Li, 2021. "A Win–Win Scenario for Agricultural Green Development and Farmers’ Agricultural Income: An Empirical Analysis Based on the EKC Hypothesis," Sustainability, MDPI, vol. 13(15), pages 1-21, July.
    5. Luo, Yulong & Zeng, Weiliang & Wang, Yueqiang & Li, Danzhou & Hu, Xianbiao & Zhang, Hua, 2021. "A hybrid approach for examining the drivers of energy consumption in Shanghai," Renewable and Sustainable Energy Reviews, Elsevier, vol. 151(C).
    6. Xiaolong Wang & Yun Chen & Xiaowei Chen & Rongrong He & Yueshan Guan & Yawen Gu & Yong Chen, 2019. "Crop Production Pushes up Greenhouse Gases Emissions in China: Evidence from Carbon Footprint Analysis Based on National Statistics Data," Sustainability, MDPI, vol. 11(18), pages 1-18, September.
    7. Na Zhou & Qiaosheng Wu & Xiangping Hu, 2020. "Research on the Policy Evolution of China’s New Energy Vehicles Industry," Sustainability, MDPI, vol. 12(9), pages 1-17, May.
    8. Zhang, Lei & Qin, Quande, 2018. "China’s new energy vehicle policies: Evolution, comparison and recommendation," Transportation Research Part A: Policy and Practice, Elsevier, vol. 110(C), pages 57-72.
    9. Feng, Meiqing & Chen, Yaning & Duan, Weili & Fang, Gonghuan & li, Zhi & Jiao, Li & Sun, Fan & Li, Yupeng & Hou, Yifeng, 2022. "Comprehensive evaluation of the water-energy-food nexus in the agricultural management of the Tarim River Basin, Northwest China," Agricultural Water Management, Elsevier, vol. 271(C).
    10. Zhen, Wei & Qin, Quande & Qian, Xiaoying & Wei, Yi-Ming, 2018. "Inequality across China's Staple Crops in Energy Consumption and Related GHG Emissions," Ecological Economics, Elsevier, vol. 153(C), pages 17-30.

  97. Chen, Hao & Kang, Jia-Ning & Liao, Hua & Tang, Bao-Jun & Wei, Yi-Ming, 2017. "Costs and potentials of energy conservation in China's coal-fired power industry: A bottom-up approach considering price uncertainties," Energy Policy, Elsevier, vol. 104(C), pages 23-32.

    Cited by:

    1. Hao Chen & Chi Kong Chyong & Jia-Ning Kang & Yi-Ming Wei, 2018. "Economic dispatch in the electricity sector in China: potential benefits and challenges ahead," Working Papers EPRG 1819, Energy Policy Research Group, Cambridge Judge Business School, University of Cambridge.
    2. Zheng, Qingying & Lin, Boqiang, 2020. "Achieving energy conservation targets in a more cost-effective way: Case study of pulp and paper industry in China," Energy, Elsevier, vol. 191(C).
    3. Kang, Jia-Ning & Wei, Yi-Ming & Liu, Lan-Cui & Han, Rong & Yu, Bi-Ying & Wang, Jin-Wei, 2020. "Energy systems for climate change mitigation: A systematic review," Applied Energy, Elsevier, vol. 263(C).
    4. Lijun Zeng & Laijun Zhao & Qin Wang & Bingcheng Wang & Yuan Ma & Wei Cui & Yujing Xie, 2018. "Modeling Interprovincial Cooperative Energy Saving in China: An Electricity Utilization Perspective," Energies, MDPI, vol. 11(1), pages 1-25, January.
    5. Cui, Qi & He, Ling & Han, Guoyi & Chen, Hao & Cao, Juanjuan, 2020. "Review on climate and water resource implications of reducing renewable power curtailment in China: A nexus perspective," Applied Energy, Elsevier, vol. 267(C).
    6. Tang, Bao-Jun & Guo, Yang-Yang & Yu, Biying & Harvey, L.D. Danny, 2021. "Pathways for decarbonizing China’s building sector under global warming thresholds," Applied Energy, Elsevier, vol. 298(C).
    7. Liu, Yang & Zhang, Congrui & Xu, Xiaochuan & Ge, Yongxiang & Ren, Gaofeng, 2022. "Assessment of energy conservation potential and cost in open-pit metal mines: Bottom-up approach integrated energy conservation supply curve and ultimate pit limit," Energy Policy, Elsevier, vol. 163(C).
    8. Haibing Wang & Bowen Li & Muhammad Qasim Khan, 2022. "Prediction of Shanghai Electric Power Carbon Emissions Based on Improved STIRPAT Model," Sustainability, MDPI, vol. 14(20), pages 1-15, October.
    9. Jing-Ming Chen & Biying Yu & Yi-Ming Wei, 2019. "CO2 emissions accounting for the chemical industry: an empirical analysis for China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 99(3), pages 1327-1343, December.
    10. Li, Ying & Chiu, Yung-ho & Lin, Tai-Yu, 2019. "Coal production efficiency and land destruction in China's coal mining industry," Resources Policy, Elsevier, vol. 63(C), pages 1-1.
    11. Xie, Pinjie & Yang, Fan & Mu, Zhuowen & Gao, Shuangshuang, 2020. "Influencing factors of the decoupling relationship between CO2 emission and economic development in China’s power industry," Energy, Elsevier, vol. 209(C).
    12. Xie, Xiaomin & Jiang, Xiaoyun & Zhang, Tingting & Huang, Zhen, 2019. "Regional water footprints assessment for hydroelectricity generation in China," Renewable Energy, Elsevier, vol. 138(C), pages 316-325.
    13. Wang, Kaifeng & Zhong, Chunping & Yu, Rong, 2024. "The greenhouse gas reduction effect of critical peak pricing for industrial electricity: Evidence from 285 Chinese cities, 2003–2019," Energy Policy, Elsevier, vol. 190(C).
    14. Nadimi, Reza & Tokimatsu, Koji, 2018. "Modeling of quality of life in terms of energy and electricity consumption," Applied Energy, Elsevier, vol. 212(C), pages 1282-1294.
    15. Wei, Yi-Ming & Kang, Jia-Ning & Yu, Bi-Ying & Liao, Hua & Du, Yun-Fei, 2017. "A dynamic forward-citation full path model for technology monitoring: An empirical study from shale gas industry," Applied Energy, Elsevier, vol. 205(C), pages 769-780.
    16. Li, Shoujun & Ma, Xiaoping & Yang, Chunyu, 2018. "A combined thermal power plant investment decision-making model based on intelligent fuzzy grey model and ito stochastic process and its application," Energy, Elsevier, vol. 159(C), pages 1102-1117.
    17. Chen, Heng & Wu, Yunyun & Qi, Zhen & Chen, Qiao & Xu, Gang & Yang, Yongping & Liu, Wenyi, 2019. "Improved combustion air preheating design using multiple heat sources incorporating bypass flue in large-scale coal-fired power unit," Energy, Elsevier, vol. 169(C), pages 527-541.
    18. Tang, Baojun & Li, Ru & Yu, Biying & An, Runying & Wei, Yi-Ming, 2018. "How to peak carbon emissions in China's power sector: A regional perspective," Energy Policy, Elsevier, vol. 120(C), pages 365-381.
    19. Wang, Yihan & Wen, Zongguo & Cao, Xin & Dinga, Christian Doh, 2022. "Is information and communications technology effective for industrial energy conservation and emission reduction? Evidence from three energy-intensive industries in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 160(C).
    20. Liang, Yuanyuan & Yu, Biying & Wang, Lu, 2019. "Costs and benefits of renewable energy development in China's power industry," Renewable Energy, Elsevier, vol. 131(C), pages 700-712.
    21. Bingxin Zeng & Jun Xie & Xiaobing Zhang & Yang Yu & Lei Zhu, 2020. "The impacts of emission trading scheme on China’s thermal power industry: A pre-evaluation from the micro level," Energy & Environment, , vol. 31(6), pages 1007-1030, September.
    22. Wei, Wei & Mushtaq, Zulqarnain & Sharif, Maimoona & Zeng, Xiaowu & Wan-Li, Zhang & Qaisrani, Mumtaz A., 2020. "Evaluating the coal rebound effect in energy intensive industries of China," Energy, Elsevier, vol. 207(C).
    23. Haonan Zhang & Xingping Zhang & Jiahai Yuan, 2020. "Coal power in China: A multi‐level perspective review," Wiley Interdisciplinary Reviews: Energy and Environment, Wiley Blackwell, vol. 9(6), November.
    24. Xue, Jian & Guo, Meichen & Shi, Shaoqing & Zhao, Laijun, 2024. "Energy-conservation model of inter-provincial cooperation that accounts GDP and social benefits," Energy, Elsevier, vol. 290(C).
    25. Wei, Yi-Ming & Chen, Hao & Chyong, Chi Kong & Kang, Jia-Ning & Liao, Hua & Tang, Bao-Jun, 2018. "Economic dispatch savings in the coal-fired power sector: An empirical study of China," Energy Economics, Elsevier, vol. 74(C), pages 330-342.

  98. Wang, Lu & Wei, Yi-Ming & Brown, Marilyn A., 2017. "Global transition to low-carbon electricity: A bibliometric analysis," Applied Energy, Elsevier, vol. 205(C), pages 57-68.

    Cited by:

    1. Noussan, Michel & Jarre, Matteo & Roberto, Roberta & Russolillo, Daniele, 2018. "Combined vs separate heat and power production – Primary energy comparison in high renewable share contexts," Applied Energy, Elsevier, vol. 213(C), pages 1-10.
    2. Jing-Li Fan & Shuo Shen & Jian-Da Wang & Shi-Jie Wei & Xian Zhang & Ping Zhong & Hang Wang, 2020. "Scientific and technological power and international cooperation in the field of natural hazards: a bibliometric analysis," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 102(3), pages 807-827, July.
    3. Yuuki Yoshimoto & Koki Kishimoto & Kanchan Kumar Sen & Takako Mochida & Andrew Chapman, 2023. "Toward Economically Efficient Carbon Reduction: Contrasting Greening Plastic Supply Chains with Alternative Energy Policy Approaches," Sustainability, MDPI, vol. 15(17), pages 1-19, September.
    4. Claudiu Cicea & Carmen Nadia Ciocoiu & Corina Marinescu, 2021. "Exploring the Research Regarding Energy–Economic Growth Relationship," Energies, MDPI, vol. 14(9), pages 1-23, May.
    5. Wang, Bing & Wang, Qian & Wei, Yi-Ming & Li, Zhi-Ping, 2018. "Role of renewable energy in China’s energy security and climate change mitigation: An index decomposition analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 90(C), pages 187-194.
    6. Hache, Emmanuel & Palle, Angélique, 2019. "Renewable energy source integration into power networks, research trends and policy implications: A bibliometric and research actors survey analysis," Energy Policy, Elsevier, vol. 124(C), pages 23-35.
    7. Blandy Pamplona Solis & Julio César Cruz Argüello & Leopoldo Gómez Barba & Mayra Polett Gurrola & Zakaryaa Zarhri & Danna Lizeth TrejoArroyo, 2019. "Bibliometric Analysis of the Mass Transport in a Gas Diffusion Layer in PEM Fuel Cells," Sustainability, MDPI, vol. 11(23), pages 1-18, November.
    8. Allen, D.J. & Tomlin, A.S. & Bale, C.S.E. & Skea, A. & Vosper, S. & Gallani, M.L., 2017. "A boundary layer scaling technique for estimating near-surface wind energy using numerical weather prediction and wind map data," Applied Energy, Elsevier, vol. 208(C), pages 1246-1257.
    9. Chapman, Andrew J. & McLellan, Benjamin C. & Tezuka, Tetsuo, 2018. "Prioritizing mitigation efforts considering co-benefits, equity and energy justice: Fossil fuel to renewable energy transition pathways," Applied Energy, Elsevier, vol. 219(C), pages 187-198.
    10. Alam Md Moshiul & Roslina Mohammad & Fariha Anjum Hira & Nurazean Maarop, 2022. "Alternative Marine Fuel Research Advances and Future Trends: A Bibliometric Knowledge Mapping Approach," Sustainability, MDPI, vol. 14(9), pages 1-27, April.
    11. Qu, Kaiping & Shi, Shouyuan & Yu, Tao & Wang, Wenrui, 2019. "A convex decentralized optimization for environmental-economic power and gas system considering diversified emission control," Applied Energy, Elsevier, vol. 240(C), pages 630-645.
    12. Muhammad Farooq & Muhammad Asim & Muhammad Imran & Shahid Imran & Jameel Ahmad & Muhammad Rizwan Younis, 2018. "Mapping past, current and future energy research trend in Pakistan: a scientometric assessment," Scientometrics, Springer;Akadémiai Kiadó, vol. 117(3), pages 1733-1753, December.
    13. Xin-Cheng Meng & Yeon-Ho Seong & Min-Kyu Lee, 2021. "Research Characteristics and Development Trend of Global Low-Carbon Power—Based on Bibliometric Analysis of 1983–2021," Energies, MDPI, vol. 14(16), pages 1-20, August.
    14. Bohong Zheng & Francis Masrabaye & Gerald Madjissembaye Guiradoumngué & Jian Zheng & Linlin Liu, 2021. "Progress in Research on Sustainable Urban Renewal Since 2000: Library and Visual Analyses," Sustainability, MDPI, vol. 13(8), pages 1-28, April.
    15. Ramirez, Angel D. & Rivela, Beatriz & Boero, Andrea & Melendres, Ana M., 2019. "Lights and shadows of the environmental impacts of fossil-based electricity generation technologies: A contribution based on the Ecuadorian experience," Energy Policy, Elsevier, vol. 125(C), pages 467-477.
    16. Xia, S.W. & Bu, S.Q. & Zhang, X. & Xu, Y. & Zhou, B. & Zhu, J.B., 2018. "Model reduction strategy of doubly-fed induction generator-based wind farms for power system small-signal rotor angle stability analysis," Applied Energy, Elsevier, vol. 222(C), pages 608-620.
    17. Bompard, E. & Botterud, A. & Corgnati, S. & Huang, T. & Jafari, M. & Leone, P. & Mauro, S. & Montesano, G. & Papa, C. & Profumo, F., 2020. "An electricity triangle for energy transition: Application to Italy," Applied Energy, Elsevier, vol. 277(C).
    18. Yakath Ali, Nurul Syuhadah & Yu, Chunyan & See, Kok Fong, 2021. "Four decades of airline productivity and efficiency studies: A review and bibliometric analysis," Journal of Air Transport Management, Elsevier, vol. 96(C).
    19. Koltsaklis, Nikolaos E. & Dagoumas, Athanasios S., 2018. "Incorporating unit commitment aspects to the European electricity markets algorithm: An optimization model for the joint clearing of energy and reserve markets," Applied Energy, Elsevier, vol. 231(C), pages 235-258.
    20. Zhang, Yiyi & Wang, Jiaqi & Zhang, Linmei & Liu, Jiefeng & Zheng, Hanbo & Fang, Jiake & Hou, Shengren & Chen, Shaoqing, 2020. "Optimization of China’s electric power sector targeting water stress and carbon emissions," Applied Energy, Elsevier, vol. 271(C).
    21. Zhao, Chen & Wang, Fei & Wu, Xiaoyu, 2024. "Analysis and review on air-cooled open cathode proton exchange membrane fuel cells: Bibliometric, environmental adaptation and prospect," Renewable and Sustainable Energy Reviews, Elsevier, vol. 197(C).
    22. Takaya Ogawa & Mizutomo Takeuchi & Yuya Kajikawa, 2018. "Analysis of Trends and Emerging Technologies in Water Electrolysis Research Based on a Computational Method: A Comparison with Fuel Cell Research," Sustainability, MDPI, vol. 10(2), pages 1-24, February.
    23. Li, Peilin & Zhao, Pengjun & Brand, Christian, 2018. "Future energy use and CO2 emissions of urban passenger transport in China: A travel behavior and urban form based approach," Applied Energy, Elsevier, vol. 211(C), pages 820-842.
    24. Salamanca, Jacobo M. & Álvarez-Silva, Oscar & Tadeo, Fernando, 2019. "Potential and analysis of an osmotic power plant in the Magdalena River using experimental field-data," Energy, Elsevier, vol. 180(C), pages 548-555.
    25. Chen, Yixuan & Qu, Kaiping & Pan, Zhenning & Yu, Tao, 2020. "Multi-objective electricity-gas flow with stochastic dispersion control for air pollutants using two-stage Pareto optimization," Applied Energy, Elsevier, vol. 279(C).
    26. Wang, Haibing & Zheng, Tianhang & Sun, Weiqing & Khan, Muhammad Qasim, 2023. "Research on the pricing strategy of park electric vehicle agent considering carbon trading," Applied Energy, Elsevier, vol. 340(C).
    27. Mejia, Cristian & Kajikawa, Yuya, 2020. "Emerging topics in energy storage based on a large-scale analysis of academic articles and patents," Applied Energy, Elsevier, vol. 263(C).
    28. Xue, Mingfu, 2024. "Natural resource performance for a green economic growth: From short-term to long-term quality," Resources Policy, Elsevier, vol. 91(C).
    29. Qin, Yong & Xu, Zeshui & Wang, Xinxin & Škare, Marinko, 2022. "Green energy adoption and its determinants: A bibliometric analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 153(C).
    30. Jiaquan Li & Yunbing Hou & Pengtao Wang & Bo Yang, 2018. "A Review of Carbon Capture and Storage Project Investment and Operational Decision-Making Based on Bibliometrics," Energies, MDPI, vol. 12(1), pages 1-22, December.
    31. Xu, Lan & Tang, Shuxiang, 2024. "Sustainable development: Maximizing productivity in natural resource markets for a more ecologically friendly future," Resources Policy, Elsevier, vol. 89(C).
    32. Serrano-Arévalo, Tania Itzel & López-Flores, Francisco Javier & Raya-Tapia, Alma Yunuen & Ramírez-Márquez, César & Ponce-Ortega, José María, 2023. "Optimal expansion for a clean power sector transition in Mexico based on predicted electricity demand using deep learning scheme," Applied Energy, Elsevier, vol. 348(C).
    33. Han, Jiangbei & Liu, Chengxi, 2023. "Performance evaluation of SSCI damping controller based on the elastic energy equivalent system," Applied Energy, Elsevier, vol. 331(C).
    34. Miguel Ángel Reyes-Belmonte, 2020. "A Bibliometric Study on Integrated Solar Combined Cycles (ISCC), Trends and Future Based on Data Analytics Tools," Sustainability, MDPI, vol. 12(19), pages 1-29, October.
    35. Hernández-Escobedo, Quetzalcoatl & Perea-Moreno, Alberto-Jesús & Manzano-Agugliaro, Francisco, 2018. "Wind energy research in Mexico," Renewable Energy, Elsevier, vol. 123(C), pages 719-729.

  99. Zhi-Fu Mi & Yi-Ming Wei & Chen-Qi He & Hua-Nan Li & Xiao-Chen Yuan & Hua Liao, 2017. "Regional efforts to mitigate climate change in China: a multi-criteria assessment approach," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 22(1), pages 45-66, January.
    See citations under working paper version above.
  100. Yuan, Xiao-Chen & Sun, Xun & Zhao, Weigang & Mi, Zhifu & Wang, Bing & Wei, Yi-Ming, 2017. "Forecasting China’s regional energy demand by 2030: A Bayesian approach," Resources, Conservation & Recycling, Elsevier, vol. 127(C), pages 85-95.

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    1. Zhixiong Weng & Yuqi Song & Hao Ma & Zhong Ma & Tingting Liu, 2023. "Forecasting energy demand, structure, and CO2 emission: a case study of Beijing, China," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(9), pages 10369-10391, September.

  101. Zhifu Mi & Jing Meng & Dabo Guan & Yuli Shan & Malin Song & Yi-Ming Wei & Zhu Liu & Klaus Hubacek, 2017. "Chinese CO2 emission flows have reversed since the global financial crisis," Nature Communications, Nature, vol. 8(1), pages 1-10, December.

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    1. Zhao, Yu & Zhong, Honglin & Kong, Fanbin & Zhang, Ning, 2023. "Can China achieve carbon neutrality without power shortage? A substitutability perspective," Renewable and Sustainable Energy Reviews, Elsevier, vol. 182(C).
    2. Chenxi Li & Kening Wu, 2022. "An input–output analysis of transportation equipment manufacturing industrial transfer: Evidence from Beijing‐Tianjin‐Hebei region, China," Growth and Change, Wiley Blackwell, vol. 53(1), pages 91-111, March.
    3. Li, Xiaoyu & Zeng, Zhao & Zhang, Zengkai & Yao, Ye & Du, Huibin, 2023. "The rising North-South carbon flows within China from 2012 to 2017," Structural Change and Economic Dynamics, Elsevier, vol. 64(C), pages 263-272.
    4. Yan Wang & Weihua Xiao & Yicheng Wang & Baodeng Hou & Heng Yang & Xuelei Zhang & Mingzhi Yang & Lishan Zhu, 2018. "Exploring City Development Modes under the Dual Control of Water Resources and Energy-Related CO 2 Emissions: The Case of Beijing, China," Sustainability, MDPI, vol. 10(9), pages 1-16, September.
    5. Yuting Wang & Lei Wang & Zhemin Li, 2020. "Dynamic Analysis of China’s Imported Raw Milk Powder Consumption," Sustainability, MDPI, vol. 12(4), pages 1-15, February.
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    127. Yu, Miao & Meng, Bo & Li, Rong, 2022. "Analysis of China's urban household indirect carbon emissions drivers under the background of population aging," Structural Change and Economic Dynamics, Elsevier, vol. 60(C), pages 114-125.
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    142. Wang, Chonghao & Lin, Boqiang, 2024. "Does industrial relocation impact green economic efficiency? Evidence from China’s energy-intensive industries," Research in International Business and Finance, Elsevier, vol. 70(PB).
    143. Fang, Delin & Duan, Cuncun & Chen, Bin, 2020. "Average propagation length analysis for carbon emissions in China," Applied Energy, Elsevier, vol. 275(C).
    144. Mi, Zhifu & Zheng, Jiali & Meng, Jing & Zheng, Heran & Li, Xian & Coffman, D'Maris & Woltjer, Johan & Wang, Shouyang & Guan, Dabo, 2019. "Carbon emissions of cities from a consumption-based perspective," Applied Energy, Elsevier, vol. 235(C), pages 509-518.
    145. Kangyin Dong & Xiucheng Dong & Qingzhe Jiang, 2020. "How renewable energy consumption lower global CO2 emissions? Evidence from countries with different income levels," The World Economy, Wiley Blackwell, vol. 43(6), pages 1665-1698, June.
    146. Ling Li & Jingjing Li & Ling Tang & Shouyang Wang, 2019. "Balancing Tourism’s Economic Benefit and CO 2 Emissions: An Insight from Input–Output and Tourism Satellite Account Analysis," Sustainability, MDPI, vol. 11(4), pages 1-19, February.
    147. Hou, Juan-Juan & Wang, Zhen & Zhang, Jiu-Tian & Yu, Shi-Wei & Liu, Lan-Cui, 2022. "Revealing energy and water hidden in Chinese regional critical carbon supply chains," Energy Policy, Elsevier, vol. 165(C).
    148. Wenbin Shao & Fangyi Li & Zhaoyang Ye & Zhipeng Tang & Wu Xie & Yu Bai & Shanlin Yang, 2019. "Inter-Regional Spillover of Carbon Emissions and Employment in China: Is It Positive or Negative?," Sustainability, MDPI, vol. 11(13), pages 1-14, July.
    149. Shen, Jijie & Yi, Peng & Zhang, Xumin & Yang, Yuantao & Fang, Jinzhu & Chi, Yuanying, 2023. "Can water conservation and energy conservation be promoted simultaneously in China?," Energy, Elsevier, vol. 278(PA).
    150. Zhang, Yue-Jun & Liu, Jing-Yue & Su, Bin, 2020. "Carbon congestion effects in China's industry: Evidence from provincial and sectoral levels," Energy Economics, Elsevier, vol. 86(C).
    151. Yong Liu, 2019. "Residents’ Willingness and Influencing Factors on Action Personal Carbon Trading: A Case Study of Metropolitan Areas in Tianjin, China," Sustainability, MDPI, vol. 11(2), pages 1-13, January.
    152. Yue‐Jun Zhang & Wei Shi & Lin Jiang, 2020. "Does China's carbon emissions trading policy improve the technology innovation of relevant enterprises?," Business Strategy and the Environment, Wiley Blackwell, vol. 29(3), pages 872-885, March.
    153. Singpai, Bodin & Wu, Desheng Dash, 2021. "An integrative approach for evaluating the environmental economic efficiency," Energy, Elsevier, vol. 215(PB).
    154. Ji Guo & Lei Zhou & Xianhua Wu, 2018. "Tendency of Embodied Carbon Change in the Export Trade of Chinese Manufacturing Industry from 2000 to 2015 and Its Driving Factors," Sustainability, MDPI, vol. 10(6), pages 1-18, June.
    155. Yanmei Li & Yue Wei & Xin Li & Liyuan Fu & Tianfa Xie & Siyan Liu & Yan Kang, 2024. "Carbon Emission Drivers and Critical Paths in the Interaction of the "Local-Domestic-International" Economic Cycle - A case study of Beijing," Advances in Management and Applied Economics, SCIENPRESS Ltd, vol. 14(3), pages 1-6.
    156. Chen, Han & Chen, Wenying, 2019. "Potential impact of shifting coal to gas and electricity for building sectors in 28 major northern cities of China," Applied Energy, Elsevier, vol. 236(C), pages 1049-1061.
    157. Liu, Yating & Chen, Bin, 2020. "Water-energy scarcity nexus risk in the national trade system based on multiregional input-output and network environ analyses," Applied Energy, Elsevier, vol. 268(C).
    158. Jiang, Lei & He, Shixiong & Zhong, Zhangqi & Zhou, Haifeng & He, Lingyun, 2019. "Revisiting environmental kuznets curve for carbon dioxide emissions: The role of trade," Structural Change and Economic Dynamics, Elsevier, vol. 50(C), pages 245-257.
    159. Ren, Bo & Li, Huajiao & Wang, Xingxing & Shi, Jianglan & Ma, Ning & Qi, Yajie, 2022. "The flow of embodied minerals between China's provinces and the world: A nested supply chain network perspective," Resources Policy, Elsevier, vol. 78(C).
    160. Feng, Chao & Huang, Jian-Bai & Wang, Miao, 2018. "The driving forces and potential mitigation of energy-related CO2 emissions in China's metal industry," Resources Policy, Elsevier, vol. 59(C), pages 487-494.
    161. Wu, X.D. & Guo, J.L. & Ji, Xi & Chen, G.Q., 2019. "Energy use in world economy from household-consumption-based perspective," Energy Policy, Elsevier, vol. 127(C), pages 287-298.
    162. Wei Qiang & Aimei Lin & Chao Zhao & Zhenhua Liu & Manzhi Liu & Xiaozhen Wang, 2019. "The impact of international crude oil price fluctuation on the exchange rate of petroleum-importing countries: a summary of recent studies," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 95(1), pages 227-239, January.
    163. Zhang, Sheng & Yu, Ran & Wen, Zuhui & Xu, Jiayu & Liu, Peihan & Zhou, Yunqiao & Zheng, Xiaoqi & Wang, Lei & Hao, Jiming, 2023. "Impact of labor and energy allocation imbalance on carbon emission efficiency in China's industrial sectors," Renewable and Sustainable Energy Reviews, Elsevier, vol. 184(C).
    164. Zahraee, Seyed Mojib & Rahimpour Golroudbary, Saeed & Shiwakoti, Nirajan & Stasinopoulos, Peter, 2021. "Particle-Gaseous pollutant emissions and cost of global biomass supply chain via maritime transportation: Full-scale synergy model," Applied Energy, Elsevier, vol. 303(C).
    165. Perry Sadorsky, 2020. "Energy Related CO 2 Emissions before and after the Financial Crisis," Sustainability, MDPI, vol. 12(9), pages 1-22, May.
    166. Cai, Beiming & Jiang, Ling & Liu, Yu & Wang, Feng & Zhang, Wei & Yan, Xu & Ge, Zhenzi, 2023. "Regional trends and socioeconomic drivers of energy-related water use in China from 2007 to 2017," Energy, Elsevier, vol. 275(C).
    167. Li Wang & Jie Pei & Jing Geng & Zheng Niu, 2019. "Tracking the Spatial–Temporal Evolution of Carbon Emissions in China from 1999 to 2015: A Land Use Perspective," Sustainability, MDPI, vol. 11(17), pages 1-27, August.

  102. Zhi-Fu Mi & Yi-Ming Wei & Bao-Jun Tang & Rong-Gang Cong & Hao Yu & Hong Cao & Dabo Guan, 2017. "Risk assessment of oil price from static and dynamic modelling approaches," Applied Economics, Taylor & Francis Journals, vol. 49(9), pages 929-939, February.
    See citations under working paper version above.
  103. Qin, Quande & Li, Xin & Li, Li & Zhen, Wei & Wei, Yi-Ming, 2017. "Air emissions perspective on energy efficiency: An empirical analysis of China’s coastal areas," Applied Energy, Elsevier, vol. 185(P1), pages 604-614.
    See citations under working paper version above.
  104. Jinliang Zhang & YiMing Wei & Zhong-fu Tan & Wang Ke & Wei Tian, 2017. "A Hybrid Method for Short-Term Wind Speed Forecasting," Sustainability, MDPI, vol. 9(4), pages 1-10, April.

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    1. Lidong Zhang & Qikai Li & Yuanjun Guo & Zhile Yang & Lei Zhang, 2018. "An Investigation of Wind Direction and Speed in a Featured Wind Farm Using Joint Probability Distribution Methods," Sustainability, MDPI, vol. 10(12), pages 1-15, November.
    2. Sizhou Sun & Jingqi Fu & Ang Li, 2019. "A Compound Wind Power Forecasting Strategy Based on Clustering, Two-Stage Decomposition, Parameter Optimization, and Optimal Combination of Multiple Machine Learning Approaches," Energies, MDPI, vol. 12(18), pages 1-22, September.
    3. Mehr Gul & Nengling Tai & Wentao Huang & Muhammad Haroon Nadeem & Moduo Yu, 2020. "Evaluation of Wind Energy Potential Using an Optimum Approach based on Maximum Distance Metric," Sustainability, MDPI, vol. 12(5), pages 1-23, March.
    4. Liexun Yang & Peng Zhou & Ning Zhang, 2017. "A Review of Low-Carbon Transformation and Energy Innovation Issues in China," Sustainability, MDPI, vol. 9(7), pages 1-6, July.
    5. Navas, R Kaja Bantha & Prakash, S & Sasipraba, T, 2020. "Artificial Neural Network based computing model for wind speed prediction: A case study of Coimbatore, Tamil Nadu, India," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 542(C).
    6. Muhammad Shahzad Nazir & Fahad Alturise & Sami Alshmrany & Hafiz. M. J Nazir & Muhammad Bilal & Ahmad N. Abdalla & P. Sanjeevikumar & Ziad M. Ali, 2020. "Wind Generation Forecasting Methods and Proliferation of Artificial Neural Network: A Review of Five Years Research Trend," Sustainability, MDPI, vol. 12(9), pages 1-27, May.
    7. Deockho Kim & Jin Hur, 2017. "Stochastic Prediction of Wind Generating Resources Using the Enhanced Ensemble Model for Jeju Island’s Wind Farms in South Korea," Sustainability, MDPI, vol. 9(5), pages 1-12, May.
    8. Jiang, Ping & Yang, Hufang & Heng, Jiani, 2019. "A hybrid forecasting system based on fuzzy time series and multi-objective optimization for wind speed forecasting," Applied Energy, Elsevier, vol. 235(C), pages 786-801.
    9. Chiou-Jye Huang & Ping-Huan Kuo, 2018. "A Short-Term Wind Speed Forecasting Model by Using Artificial Neural Networks with Stochastic Optimization for Renewable Energy Systems," Energies, MDPI, vol. 11(10), pages 1-20, October.
    10. Wu, Chunying & Wang, Jianzhou & Chen, Xuejun & Du, Pei & Yang, Wendong, 2020. "A novel hybrid system based on multi-objective optimization for wind speed forecasting," Renewable Energy, Elsevier, vol. 146(C), pages 149-165.
    11. He, Qingqing & Wang, Jianzhou & Lu, Haiyan, 2018. "A hybrid system for short-term wind speed forecasting," Applied Energy, Elsevier, vol. 226(C), pages 756-771.
    12. Panagiotis Korkidis & Anastasios Dounis, 2023. "Intelligent Fuzzy Models: WM, ANFIS, and Patch Learning for the Competitive Forecasting of Environmental Variables," Sustainability, MDPI, vol. 15(10), pages 1-21, May.
    13. Wang, Yun & Wang, Haibo & Srinivasan, Dipti & Hu, Qinghua, 2019. "Robust functional regression for wind speed forecasting based on Sparse Bayesian learning," Renewable Energy, Elsevier, vol. 132(C), pages 43-60.
    14. Korprasertsak, Natapol & Leephakpreeda, Thananchai, 2019. "Robust short-term prediction of wind power generation under uncertainty via statistical interpretation of multiple forecasting models," Energy, Elsevier, vol. 180(C), pages 387-397.
    15. Tawn, R. & Browell, J., 2022. "A review of very short-term wind and solar power forecasting," Renewable and Sustainable Energy Reviews, Elsevier, vol. 153(C).
    16. Alexandru Pîrjan & George Căruțașu & Dana-Mihaela Petroșanu, 2018. "Designing, Developing, and Implementing a Forecasting Method for the Produced and Consumed Electricity in the Case of Small Wind Farms Situated on Quite Complex Hilly Terrain," Energies, MDPI, vol. 11(10), pages 1-42, October.
    17. Aasim, & Singh, S.N. & Mohapatra, Abheejeet, 2019. "Repeated wavelet transform based ARIMA model for very short-term wind speed forecasting," Renewable Energy, Elsevier, vol. 136(C), pages 758-768.
    18. Neeraj Bokde & Andrés Feijóo & Daniel Villanueva & Kishore Kulat, 2019. "A Review on Hybrid Empirical Mode Decomposition Models for Wind Speed and Wind Power Prediction," Energies, MDPI, vol. 12(2), pages 1-42, January.
    19. Wang, Jianzhou & Yang, Wendong & Du, Pei & Li, Yifan, 2018. "Research and application of a hybrid forecasting framework based on multi-objective optimization for electrical power system," Energy, Elsevier, vol. 148(C), pages 59-78.
    20. Ahmed Elbeltagi & R. K. Jaiswal & R. V. Galkate & Manish Kumar & A. K. Lohani & Jaiveer Tyagi, 2023. "Modeling Soil Water Retention Under Different Pressures Using Adaptive Neuro-Fuzzy Inference System," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 37(4), pages 1519-1538, March.

  105. Yu, Hao & Wei, Yi-Ming & Tang, Bao-Jun & Mi, Zhifu & Pan, Su-Yan, 2016. "Assessment on the research trend of low-carbon energy technology investment: A bibliometric analysis," Applied Energy, Elsevier, vol. 184(C), pages 960-970.
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  106. Zhang, Dayong & Cao, Hong & Wei, Yi-Ming, 2016. "Identifying the determinants of energy intensity in China: A Bayesian averaging approach," Applied Energy, Elsevier, vol. 168(C), pages 672-682.

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    1. Zhang, Dayong & Li, Jun & Ji, Qiang, 2020. "Does better access to credit help reduce energy intensity in China? Evidence from manufacturing firms," Energy Policy, Elsevier, vol. 145(C).
    2. Gutiérrez-Pedrero, María Jesús & Tarancón, Miguel Ángel & del Río, Pablo & Alcántara, Vicent, 2018. "Analysing the drivers of the intensity of electricity consumption of non-residential sectors in Europe," Applied Energy, Elsevier, vol. 211(C), pages 743-754.
    3. Lin, Boqiang & Zhou, Yicheng, 2021. "Does fiscal decentralization improve energy and environmental performance? New perspective on vertical fiscal imbalance," Applied Energy, Elsevier, vol. 302(C).
    4. Jian Chai & Ying Jin, 2020. "The Dynamic Impacts of Oil Price on China’s Natural Gas Consumption under the Change of Global Oil Market Patterns: An Analysis from the Perspective of Total Consumption and Structure," Energies, MDPI, vol. 13(4), pages 1-16, February.
    5. Ji, Qiang & Zhang, Dayong, 2019. "How much does financial development contribute to renewable energy growth and upgrading of energy structure in China?," Energy Policy, Elsevier, vol. 128(C), pages 114-124.
    6. Hongyun Han & Shu Wu, 2018. "Structural Change and Its Impact on the Energy Intensity of Agricultural Sector in China," Sustainability, MDPI, vol. 10(12), pages 1-23, December.
    7. David Guan & Ubaldo Comite & Muhammad Safdar Sial & Asma Salman & Boyao Zhang & Stefan B. Gunnlaugsson & Urszula Mentel & Grzegorz Mentel, 2021. "The Impact of Renewable Energy Sources on Financial Development, and Economic Growth: The Empirical Evidence from an Emerging Economy," Energies, MDPI, vol. 14(23), pages 1-13, December.
    8. Shemelis Kebede Hundie & Megersa Debela Daksa, 2019. "Does energy-environmental Kuznets curve hold for Ethiopia? The relationship between energy intensity and economic growth," Journal of Economic Structures, Springer;Pan-Pacific Association of Input-Output Studies (PAPAIOS), vol. 8(1), pages 1-21, December.
    9. Qiang Du & Yi Li & Libiao Bai, 2017. "The Energy Rebound Effect for the Construction Industry: Empirical Evidence from China," Sustainability, MDPI, vol. 9(5), pages 1-11, May.
    10. Jin, Taeyoung, 2022. "Impact of heat and electricity consumption on energy intensity: A panel data analysis," Energy, Elsevier, vol. 239(PA).
    11. Zhang, Tong & Shi, Xunpeng & Zhang, Dayong & Xiao, Junji, 2019. "Socio-economic development and electricity access in developing economies: A long-run model averaging approach," Energy Policy, Elsevier, vol. 132(C), pages 223-231.
    12. Tang, Pengcheng & Yang, Shuwang & Fu, Shuke, 2018. "Do political incentive affects China's land transfer in energy-intensive industries?," Energy, Elsevier, vol. 164(C), pages 550-559.
    13. Azhgaliyeva, Dina & Liu, Yang & Liddle, Brantley, 2020. "An empirical analysis of energy intensity and the role of policy instruments," Energy Policy, Elsevier, vol. 145(C).
    14. Wang, Ying & Zhang, Dayong & Ji, Qiang & Shi, Xunpeng, 2020. "Regional renewable energy development in China: A multidimensional assessment," Renewable and Sustainable Energy Reviews, Elsevier, vol. 124(C).
    15. Chao Bi & Minna Jia & Jingjing Zeng, 2019. "Nonlinear Effect of Public Infrastructure on Energy Intensity in China: A Panel Smooth Transition Regression Approach," Sustainability, MDPI, vol. 11(3), pages 1-21, January.
    16. Liangliang Liu & Wenqing Zhang, 2022. "Vertical fiscal imbalance and energy intensity in China," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 83(2), pages 509-526, October.
    17. Li, Yaya & Cobbinah, Joana & Abban, Olivier Joseph & Veglianti, Eleonora, 2023. "Does green manufacturing technology innovation decrease energy intensity for sustainable development?," Economic Analysis and Policy, Elsevier, vol. 78(C), pages 1010-1025.
    18. Sha, Yezhou & Zhang, Ping & Wang, Yiru & Xu, Yifan, 2022. "Capital market opening and green innovation——Evidence from Shanghai-Hong Kong stock connect and the Shenzhen-Hong Kong stock connect," Energy Economics, Elsevier, vol. 111(C).
    19. Yu, Weihua & Liang, Wenjing & Yao, Xin, 2024. "The effect of the county-to-district conversion policy on energy efficiency of enterprises: Evidence from China," Energy Economics, Elsevier, vol. 134(C).

  107. Liao, Hua & Du, Yun-Fei & Huang, Zhimin & Wei, Yi-Ming, 2016. "Measuring energy economic efficiency: A mathematical programming approach," Applied Energy, Elsevier, vol. 179(C), pages 479-487.

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    1. Muhammad Rizwan & Ping Qing & Abdul Saboor & Muhammad Amjed Iqbal & Adnan Nazir, 2020. "Production Risk and Competency among Categorized Rice Peasants: Cross-Sectional Evidence from an Emerging Country," Sustainability, MDPI, vol. 12(9), pages 1-15, May.
    2. Wang, Xipan & Song, Junnian & Duan, Haiyan & Wang, Xian'en, 2021. "Coupling between energy efficiency and industrial structure: An urban agglomeration case," Energy, Elsevier, vol. 234(C).
    3. Ji, Xiang & Li, Guo & Wang, Zhaohua, 2017. "Allocation of emission permits for China’s power plants: A systemic Pareto optimal method," Applied Energy, Elsevier, vol. 204(C), pages 607-619.
    4. Eissa, M.M., 2019. "Developing incentive demand response with commercial energy management system (CEMS) based on diffusion model, smart meters and new communication protocol," Applied Energy, Elsevier, vol. 236(C), pages 273-292.
    5. Han, Yongming & Wu, Hao & Geng, Zhiqiang & Zhu, Qunxiong & Gu, Xiangbai & Yu, Bin, 2020. "Review: Energy efficiency evaluation of complex petrochemical industries," Energy, Elsevier, vol. 203(C).
    6. Nielsen, Hana & Warde, Paul & Kander, Astrid, 2018. "East versus West: Energy intensity in coal-rich Europe, 1800–2000," Energy Policy, Elsevier, vol. 122(C), pages 75-83.
    7. Benedetti, Miriam & Bonfa', Francesca & Bertini, Ilaria & Introna, Vito & Ubertini, Stefano, 2018. "Explorative study on Compressed Air Systems’ energy efficiency in production and use: First steps towards the creation of a benchmarking system for large and energy-intensive industrial firms," Applied Energy, Elsevier, vol. 227(C), pages 436-448.
    8. Feng, Chao & Wang, Miao, 2018. "Analysis of energy efficiency in China's transportation sector," Renewable and Sustainable Energy Reviews, Elsevier, vol. 94(C), pages 565-575.

  108. Wang, Ke & Zhang, Xian & Yu, Xueying & Wei, Yi-Ming & Wang, Bin, 2016. "Emissions trading and abatement cost savings: An estimation of China's thermal power industry," Renewable and Sustainable Energy Reviews, Elsevier, vol. 65(C), pages 1005-1017.
    See citations under working paper version above.
  109. Yi-Ming Wei & Ke Wang & Hua Liao & Hirokazu Tatano, 2016. "Economics of climate change and risk of disasters in Asia–Pacific region," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 84(1), pages 1-5, November.

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    1. Kirsten Halsnæs & Morten Andreas Dahl Larsen & Per Skougaard Kaspersen, 2018. "Climate change risks for severe storms in developing countries in the context of poverty and inequality in Cambodia," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 94(1), pages 261-278, October.

  110. Chen, Hao & Tang, Bao-Jun & Liao, Hua & Wei, Yi-Ming, 2016. "A multi-period power generation planning model incorporating the non-carbon external costs: A case study of China," Applied Energy, Elsevier, vol. 183(C), pages 1333-1345.
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  111. Wang, Ke & Wei, Yi-Ming & Huang, Zhimin, 2016. "Potential gains from carbon emissions trading in China: A DEA based estimation on abatement cost savings," Omega, Elsevier, vol. 63(C), pages 48-59.
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  112. Kefan Wang & Bangzhu Zhu & Ping Wang & Yi-Ming Wei, 2016. "Examining the links among economic growth, energy consumption, and CO2 emission with linear and nonlinear causality tests," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 81(2), pages 1147-1159, March.

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    1. Hu, Hui & Xie, Nan & Fang, Debin & Zhang, Xiaoling, 2018. "The role of renewable energy consumption and commercial services trade in carbon dioxide reduction: Evidence from 25 developing countries," Applied Energy, Elsevier, vol. 211(C), pages 1229-1244.
    2. Wei-Hua Qu & Ling Xu & Guo-Hua Qu & Zhi-Jun Yan & Jian-Xiu Wang, 2017. "The impact of energy consumption on environment and public health in China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 87(2), pages 675-697, June.
    3. Ye, Li & Dang, Yaoguo & Fang, Liping & Wang, Junjie, 2023. "A nonlinear interactive grey multivariable model based on dynamic compensation for forecasting the economy-energy-environment system," Applied Energy, Elsevier, vol. 331(C).
    4. Zheng Fang & Marcin Wolski, 2021. "Human capital, energy and economic growth in China: evidence from multivariate nonlinear Granger causality tests," Empirical Economics, Springer, vol. 60(2), pages 607-632, February.
    5. Li, Wei & Sun, Wen & Li, Guomin & Jin, Baihui & Wu, Wen & Cui, Pengfei & Zhao, Guohao, 2018. "Transmission mechanism between energy prices and carbon emissions using geographically weighted regression," Energy Policy, Elsevier, vol. 115(C), pages 434-442.
    6. Raza, Syed Ali & Shah, Nida & Sharif, Arshian, 2019. "Time frequency relationship between energy consumption, economic growth and environmental degradation in the United States: Evidence from transportation sector," Energy, Elsevier, vol. 173(C), pages 706-720.

  113. Fan, Jing-Li & Hou, Yun-Bing & Wang, Qian & Wang, Ce & Wei, Yi-Ming, 2016. "Exploring the characteristics of production-based and consumption-based carbon emissions of major economies: A multiple-dimension comparison," Applied Energy, Elsevier, vol. 184(C), pages 790-799.

    Cited by:

    1. Liu, Lirong & Huang, Guohe & Baetz, Brian & Zhang, Kaiqiang, 2018. "Environmentally-extended input-output simulation for analyzing production-based and consumption-based industrial greenhouse gas mitigation policies," Applied Energy, Elsevier, vol. 232(C), pages 69-78.
    2. Wan, Liyang & Wang, Can & Cai, Wenjia, 2016. "Impacts on water consumption of power sector in major emitting economies under INDC and longer term mitigation scenarios: An input-output based hybrid approach," Applied Energy, Elsevier, vol. 184(C), pages 26-39.
    3. Ding, Qun & Cai, Wenjia & Wang, Can & Sanwal, Mukul, 2017. "The relationships between household consumption activities and energy consumption in china— An input-output analysis from the lifestyle perspective," Applied Energy, Elsevier, vol. 207(C), pages 520-532.
    4. Clara Lenk & Rosalie Arendt & Vanessa Bach & Matthias Finkbeiner, 2021. "Territorial-Based vs. Consumption-Based Carbon Footprint of an Urban District—A Case Study of Berlin-Wedding," Sustainability, MDPI, vol. 13(13), pages 1-18, June.
    5. Wang, Qian & Hubacek, Klaus & Feng, Kuishuang & Guo, Lin & Zhang, Kun & Xue, Jinjun & Liang, Qiao-Mei, 2019. "Distributional impact of carbon pricing in Chinese provinces," Energy Economics, Elsevier, vol. 81(C), pages 327-340.
    6. James Karmoh Sowah & Sema Yilmaz Genc & Rui Alexandre Castanho & Gualter Couto & Mehmet Altuntas & Dervis Kirikkaleli, 2023. "The Asymmetric and Symmetric Effect of Energy Productivity on Environmental Quality in the Era of Industry 4.0: Empirical Evidence from Portugal," Sustainability, MDPI, vol. 15(5), pages 1-19, February.
    7. Jing-Li Fan & Qian Wang & Shiwei Yu & Yun-Bing Hou & Yi-Ming Wei, 2017. "The evolution of CO2 emissions in international trade for major economies: a perspective from the global supply chain," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 22(8), pages 1229-1248, December.
    8. Fan, Jing-Li & Da, Ya-Bin & Wan, Si-Lai & Zhang, Mian & Cao, Zhe & Wang, Yu & Zhang, Xian, 2019. "Determinants of carbon emissions in ‘Belt and Road initiative’ countries: A production technology perspective," Applied Energy, Elsevier, vol. 239(C), pages 268-279.
    9. Karakaya, Etem & Yılmaz, Burcu & Alataş, Sedat, 2018. "How Production Based and Consumption Based Emissions Accounting Systems Change Climate Policy Analysis: The Case of CO2 Convergence," MPRA Paper 88781, University Library of Munich, Germany.
    10. Rui Huang & Klaus Hubacek & Kuishuang Feng & Xiaojie Li & Chao Zhang, 2018. "Re-Examining Embodied SO 2 and CO 2 Emissions in China," Sustainability, MDPI, vol. 10(5), pages 1-17, May.
    11. Wang, Yihan & Xiong, Siqin & Ma, Xiaoming, 2022. "Carbon inequality in global trade: Evidence from the mismatch between embodied carbon emissions and value added," Ecological Economics, Elsevier, vol. 195(C).
    12. Xiao, Hao & Sun, Ke-Juan & Bi, Hui-Min & Xue, Jin-Jun, 2019. "Changes in carbon intensity globally and in countries: Attribution and decomposition analysis," Applied Energy, Elsevier, vol. 235(C), pages 1492-1504.
    13. Safi, Adnan & Haseeb, Muhammad & Islam, Madeeha & Umar, Muhammad, 2023. "Can sustainable resource management overcome geopolitical risk?," Resources Policy, Elsevier, vol. 87(PB).
    14. Jiang, Jingjing & Ye, Bin & Liu, Junguo, 2019. "Research on the peak of CO2 emissions in the developing world: Current progress and future prospect," Applied Energy, Elsevier, vol. 235(C), pages 186-203.
    15. Long, Yin & Yoshida, Yoshikuni, 2018. "Quantifying city-scale emission responsibility based on input-output analysis – Insight from Tokyo, Japan," Applied Energy, Elsevier, vol. 218(C), pages 349-360.
    16. Guo, Xuepeng & Pang, Jun, 2023. "Analysis of provincial CO2 emission peaking in China: Insights from production and consumption," Applied Energy, Elsevier, vol. 331(C).
    17. Wang, Zhen & Yan, Haoben & Gao, Xue & Liang, Qiaomei & Mi, Zhifu & Liu, Lancui, 2024. "Have consumption-based CO2 emissions in developed countries peaked?," Energy Policy, Elsevier, vol. 184(C).
    18. Bokde, Neeraj Dhanraj & Tranberg, Bo & Andresen, Gorm Bruun, 2021. "Short-term CO2 emissions forecasting based on decomposition approaches and its impact on electricity market scheduling," Applied Energy, Elsevier, vol. 281(C).
    19. Sun, Xudong & Cheng, Xuelei & Guan, Chenghe & Wu, Xiaofang & Zhang, Bo, 2022. "Economic drivers of global and regional CH4 emission growth from the consumption perspective," Energy Policy, Elsevier, vol. 170(C).
    20. Xu, Jinghang & Guan, Yuru & Oldfield, Jonathan & Guan, Dabo & Shan, Yuli, 2024. "China carbon emission accounts 2020-2021," Applied Energy, Elsevier, vol. 360(C).
    21. Yu Mishina & Yosuke Sasaki & Keizo Yokoyama, 2021. "Study on Worldwide Embodied Impacts of Construction: Analysis of WIOD Release 2016," Energies, MDPI, vol. 14(11), pages 1-16, May.
    22. Zhang, Zengkai & Lin, Jintai, 2018. "From production-based to consumption-based regional carbon inventories: Insight from spatial production fragmentation," Applied Energy, Elsevier, vol. 211(C), pages 549-567.
    23. Choudhury, Tonmoy & Kayani, Umar Nawaz & Gul, Azeem & Haider, Syed Arslan & Ahmad, Sareer, 2023. "Carbon emissions, environmental distortions, and impact on growth," Energy Economics, Elsevier, vol. 126(C).
    24. Laurențiu-Stelian Mihai & Laura Vasilescu & Cătălina Sitnikov & Anca Băndoi & Leonardo-Geo Mănescu & Lucian Mandache, 2024. "A Study Regarding the Relationship between Carbon Emissions, Energy Consumption, and Economic Development in the Context of the Energy Growth Nexus," Energies, MDPI, vol. 17(17), pages 1-38, September.
    25. Yang Yang & Suocheng Dong & Fujia Li & Hao Cheng & Zehong Li & Yu Li & Shantong Li, 2021. "An analysis on the adoption of an interregional carbon emission reduction allocation approach in the context of China’s interprovincial carbon emission transfer," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(3), pages 4385-4411, March.
    26. Jing-Li Fan & Jian-Da Wang & Ling-Si Kong & Xian Zhang, 2018. "The carbon footprints of secondary industry in China: an input–output subsystem analysis," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 91(2), pages 635-657, March.

  114. Cui, Qiang & Wei, Yi-Ming & Li, Ye, 2016. "Exploring the impacts of the EU ETS emission limits on airline performance via the Dynamic Environmental DEA approach," Applied Energy, Elsevier, vol. 183(C), pages 984-994.

    Cited by:

    1. Seufert, Juergen Heinz & Arjomandi, Amir & Dakpo, K. Hervé, 2017. "Evaluating airline operational performance: A Luenberger-Hicks-Moorsteen productivity indicator," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 104(C), pages 52-68.
    2. Cui, Qiang & Jia, Zi-ke, 2023. "Measuring the dynamic airline energy efficiency with non-homogeneous structures," Energy, Elsevier, vol. 266(C).
    3. Amir Arjomandi & K Hervé Dakpo & Juergen Heinz Seufert, 2018. "Have Asian airlines caught up with European Airlines? A by-production efficiency analysis [Analyse comparée de l’Eco-performance des compagnies aériennes asiatiques et européennes]," Post-Print hal-02628232, HAL.
    4. Zhang, Yue-Jun & Cheng, Hao-Sen, 2021. "The impact mechanism of the ETS on CO2 emissions from the service sector: Evidence from Beijing and Shanghai," Technological Forecasting and Social Change, Elsevier, vol. 173(C).
    5. Hyunjung Kim & Jiyoon Son, 2021. "Analyzing the Environmental Efficiency of Global Airlines by Continent for Sustainability," Sustainability, MDPI, vol. 13(3), pages 1-16, February.
    6. Wang, Chia-Nan & Nguyen, Xuan-Tho & Le, Thi-Dao & Hsueh, Ming-Hsien, 2018. "A partner selection approach for strategic alliance in the global aerospace and defense industry," Journal of Air Transport Management, Elsevier, vol. 69(C), pages 190-204.
    7. Cui, Qiang, 2019. "The online pricing strategy of low-cost carriers when carbon tax and competition are considered," Transportation Research Part A: Policy and Practice, Elsevier, vol. 121(C), pages 420-432.
    8. Ji, Xiang & Li, Guo & Wang, Zhaohua, 2017. "Allocation of emission permits for China’s power plants: A systemic Pareto optimal method," Applied Energy, Elsevier, vol. 204(C), pages 607-619.
    9. Nava, Consuelo R. & Meleo, Linda & Cassetta, Ernesto & Morelli, Giovanna, 2017. "The Impact of the EU-ETS on the Aviation Sector: Competitive Effects of Abatement Efforts by Airlines," Department of Economics and Statistics Cognetti de Martiis. Working Papers 201710, University of Turin.
    10. Piaopeng Song & Yuxiao Gu & Bin Su & Arifa Tanveer & Qiao Peng & Weijun Gao & Shaomin Wu & Shihong Zeng, 2023. "The Impact of Green Technology Research and Development (R&D) Investment on Performance: A Case Study of Listed Energy Companies in Beijing, China," Sustainability, MDPI, vol. 15(16), pages 1-24, August.
    11. Fang-Chen Kao & Irene Wei Kiong Ting & Han-Chung Chou & Yi-Sung Liu, 2022. "Exploring the Influence of Corporate Social Responsibility on Efficiency: An Extended Dynamic Data Envelopment Analysis of the Global Airline Industry," Sustainability, MDPI, vol. 14(19), pages 1-21, October.
    12. Li, Wei & Lu, Can & Ding, Yi & Zhang, Yan-Wu, 2017. "The impacts of policy mix for resolving overcapacity in heavy chemical industry and operating national carbon emission trading market in China," Applied Energy, Elsevier, vol. 204(C), pages 509-524.
    13. Boban Djordjević & Evelin Krmac, 2019. "Evaluation of Energy-Environment Efficiency of European Transport Sectors: Non-Radial DEA and TOPSIS Approach," Energies, MDPI, vol. 12(15), pages 1-27, July.
    14. Cui, Qiang & Li, Ye, 2017. "Airline efficiency measures under CNG2020 strategy: An application of a Dynamic By-production model," Transportation Research Part A: Policy and Practice, Elsevier, vol. 106(C), pages 130-143.
    15. Sajid, M. Jawad & Cao, Qingren & Kang, Wei, 2019. "Transport sector carbon linkages of EU's top seven emitters," Transport Policy, Elsevier, vol. 80(C), pages 24-38.
    16. Li, Ye & Cui, Qiang, 2017. "Carbon neutral growth from 2020 strategy and airline environmental inefficiency: A Network Range Adjusted Environmental Data Envelopment Analysis," Applied Energy, Elsevier, vol. 199(C), pages 13-24.
    17. Abbas Mardani & Dalia Streimikiene & Tomas Balezentis & Muhamad Zameri Mat Saman & Khalil Md Nor & Seyed Meysam Khoshnava, 2018. "Data Envelopment Analysis in Energy and Environmental Economics: An Overview of the State-of-the-Art and Recent Development Trends," Energies, MDPI, vol. 11(8), pages 1-21, August.
    18. Xu, Xin & Cui, Qiang, 2017. "Evaluating airline energy efficiency: An integrated approach with Network Epsilon-based Measure and Network Slacks-based Measure," Energy, Elsevier, vol. 122(C), pages 274-286.
    19. Losa, Eduardo Tola & Arjomandi, Amir & Hervé Dakpo, K. & Bloomfield, Jason, 2020. "Efficiency comparison of airline groups in Annex 1 and non-Annex 1 countries: A dynamic network DEA approach," Transport Policy, Elsevier, vol. 99(C), pages 163-174.
    20. Cui, Qiang & Li, Ye, 2020. "A cross efficiency distinguishing method to explore the cooperation degree in dynamic airline environmental efficiency," Transport Policy, Elsevier, vol. 99(C), pages 31-43.
    21. Cui, Qiang & Li, Ye, 2017. "Airline efficiency measures using a Dynamic Epsilon-Based Measure model," Transportation Research Part A: Policy and Practice, Elsevier, vol. 100(C), pages 121-134.
    22. Cui, Qiang & Li, Ye & Wei, Yi-Ming, 2017. "Exploring the impacts of EU ETS on the pollution abatement costs of European airlines: An application of Network Environmental Production Function," Transport Policy, Elsevier, vol. 60(C), pages 131-142.
    23. Cui, Qiang, 2019. "Investigating the airlines emission reduction through carbon trading under CNG2020 strategy via a Network Weak Disposability DEA," Energy, Elsevier, vol. 180(C), pages 763-771.
    24. Markham, Francis & Young, Martin & Reis, Arianne & Higham, James, 2018. "Does carbon pricing reduce air travel? Evidence from the Australian ‘Clean Energy Future’ policy, July 2012 to June 2014," Journal of Transport Geography, Elsevier, vol. 70(C), pages 206-214.
    25. Manoela Cabo & Elton Fernandes & Paulo Alonso & Ricardo Rodrigues Pacheco & Felipe Fagundes, 2019. "Energy Effectiveness of Jet Fuel Utilization in Brazilian Air Transport," Sustainability, MDPI, vol. 12(1), pages 1-16, December.
    26. Liu, Wei & Gao, Lixiang & Song, Hang & Huang, Mingdong, 2021. "Factor market distortion, technology change, and green growth in the Chinese civil airline industry," Journal of Asian Economics, Elsevier, vol. 77(C).
    27. Li, Ye & Cui, Qiang, 2018. "Investigating the role of cooperation in the GHG abatement costs of airlines under CNG2020 strategy via a DEA cross PAC model," Energy, Elsevier, vol. 161(C), pages 725-736.
    28. Cui, Qiang & Li, Ye & Lin, Jing-ling, 2018. "Pollution abatement costs change decomposition for airlines: An analysis from a dynamic perspective," Transportation Research Part A: Policy and Practice, Elsevier, vol. 111(C), pages 96-107.
    29. Oesingmann, Katrin, 2022. "The effect of the European Emissions Trading System (EU ETS) on aviation demand: An empirical comparison with the impact of ticket taxes," Energy Policy, Elsevier, vol. 160(C).
    30. Cui, Qiang & Li, Ye, 2018. "Airline dynamic efficiency measures with a Dynamic RAM with unified natural & managerial disposability," Energy Economics, Elsevier, vol. 75(C), pages 534-546.
    31. Cui, Qiang, 2021. "A data-based comparison of the five undesirable output disposability approaches in airline environmental efficiency," Socio-Economic Planning Sciences, Elsevier, vol. 74(C).

  115. Wang, Ke & Wei, Yi-Ming, 2016. "Sources of energy productivity change in China during 1997–2012: A decomposition analysis based on the Luenberger productivity indicator," Energy Economics, Elsevier, vol. 54(C), pages 50-59.
    See citations under working paper version above.
  116. Chen, Hao & Liao, Hua & Tang, Bao-Jun & Wei, Yi-Ming, 2016. "Impacts of OPEC's political risk on the international crude oil prices: An empirical analysis based on the SVAR models," Energy Economics, Elsevier, vol. 57(C), pages 42-49.
    See citations under working paper version above.
  117. Liao, Hua & Cai, Jia-Wei & Yang, Dong-Wei & Wei, Yi-Ming, 2016. "Why did the historical energy forecasting succeed or fail? A case study on IEA's projection," Technological Forecasting and Social Change, Elsevier, vol. 107(C), pages 90-96.

    Cited by:

    1. Wen, Xin & Jaxa-Rozen, Marc & Trutnevyte, Evelina, 2022. "Accuracy indicators for evaluating retrospective performance of energy system models," Applied Energy, Elsevier, vol. 325(C).
    2. Jun Hao & Xiaolei Sun & Qianqian Feng, 2020. "A Novel Ensemble Approach for the Forecasting of Energy Demand Based on the Artificial Bee Colony Algorithm," Energies, MDPI, vol. 13(3), pages 1-25, January.
    3. Wang, Fangzhi & Liao, Hua, 2022. "Unexpected economic growth and oil price shocks," Energy Economics, Elsevier, vol. 116(C).
    4. Yuan, Xiao-Chen & Sun, Xun & Zhao, Weigang & Mi, Zhifu & Wang, Bing & Wei, Yi-Ming, 2017. "Forecasting China’s regional energy demand by 2030: A Bayesian approach," Resources, Conservation & Recycling, Elsevier, vol. 127(C), pages 85-95.
    5. Moret, Stefano & Codina Gironès, Víctor & Bierlaire, Michel & Maréchal, François, 2017. "Characterization of input uncertainties in strategic energy planning models," Applied Energy, Elsevier, vol. 202(C), pages 597-617.
    6. Wachtmeister, Henrik & Henke, Petter & Höök, Mikael, 2018. "Oil projections in retrospect: Revisions, accuracy and current uncertainty," Applied Energy, Elsevier, vol. 220(C), pages 138-153.

  118. Bangzhu Zhu & Xuetao Shi & Julien Chevallier & Ping Wang & Yi‐Ming Wei, 2016. "An Adaptive Multiscale Ensemble Learning Paradigm for Nonstationary and Nonlinear Energy Price Time Series Forecasting," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 35(7), pages 633-651, November.
    See citations under working paper version above.
  119. Zhao, Weigang & Wei, Yi-Ming & Su, Zhongyue, 2016. "One day ahead wind speed forecasting: A resampling-based approach," Applied Energy, Elsevier, vol. 178(C), pages 886-901.

    Cited by:

    1. Sajjad Khan & Shahzad Aslam & Iqra Mustafa & Sheraz Aslam, 2021. "Short-Term Electricity Price Forecasting by Employing Ensemble Empirical Mode Decomposition and Extreme Learning Machine," Forecasting, MDPI, vol. 3(3), pages 1-18, June.
    2. Yuqing Yang & Stephen Bremner & Chris Menictas & Merlinde Kay, 2019. "A Mixed Receding Horizon Control Strategy for Battery Energy Storage System Scheduling in a Hybrid PV and Wind Power Plant with Different Forecast Techniques," Energies, MDPI, vol. 12(12), pages 1-25, June.
    3. Huu Khoa Minh Nguyen & Quoc-Dung Phan & Yuan-Kang Wu & Quoc-Thang Phan, 2023. "Multi-Step Wind Power Forecasting with Stacked Temporal Convolutional Network (S-TCN)," Energies, MDPI, vol. 16(9), pages 1-20, April.
    4. Wang, Yun & Song, Mengmeng & Yang, Dazhi, 2024. "Local-global feature-based spatio-temporal wind speed forecasting with a sparse and dynamic graph," Energy, Elsevier, vol. 289(C).
    5. Wang, Qiang & Song, Xiaoxing & Li, Rongrong, 2018. "A novel hybridization of nonlinear grey model and linear ARIMA residual correction for forecasting U.S. shale oil production," Energy, Elsevier, vol. 165(PB), pages 1320-1331.
    6. Khosravi, A. & Machado, L. & Nunes, R.O., 2018. "Time-series prediction of wind speed using machine learning algorithms: A case study Osorio wind farm, Brazil," Applied Energy, Elsevier, vol. 224(C), pages 550-566.
    7. Wu, Binrong & Wang, Lin & Zeng, Yu-Rong, 2022. "Interpretable wind speed prediction with multivariate time series and temporal fusion transformers," Energy, Elsevier, vol. 252(C).
    8. Yang, Zhongshan & Wang, Jian, 2018. "A hybrid forecasting approach applied in wind speed forecasting based on a data processing strategy and an optimized artificial intelligence algorithm," Energy, Elsevier, vol. 160(C), pages 87-100.
    9. Yang, Zhongshan & Wang, Jian, 2018. "A combination forecasting approach applied in multistep wind speed forecasting based on a data processing strategy and an optimized artificial intelligence algorithm," Applied Energy, Elsevier, vol. 230(C), pages 1108-1125.
    10. Yuansheng Huang & Lei Yang & Shijian Liu & Guangli Wang, 2019. "Multi-Step Wind Speed Forecasting Based On Ensemble Empirical Mode Decomposition, Long Short Term Memory Network and Error Correction Strategy," Energies, MDPI, vol. 12(10), pages 1-22, May.
    11. Zhao, Jing & Guo, Yanling & Xiao, Xia & Wang, Jianzhou & Chi, Dezhong & Guo, Zhenhai, 2017. "Multi-step wind speed and power forecasts based on a WRF simulation and an optimized association method," Applied Energy, Elsevier, vol. 197(C), pages 183-202.
    12. Zonggui Yao & Chen Wang, 2018. "A Hybrid Model Based on A Modified Optimization Algorithm and An Artificial Intelligence Algorithm for Short-Term Wind Speed Multi-Step Ahead Forecasting," Sustainability, MDPI, vol. 10(5), pages 1-33, May.
    13. Zhao, Weigang & Cao, Yunfei & Miao, Bo & Wang, Ke & Wei, Yi-Ming, 2018. "Impacts of shifting China's final energy consumption to electricity on CO2 emission reduction," Energy Economics, Elsevier, vol. 71(C), pages 359-369.
    14. Jannik Schütz Roungkvist & Peter Enevoldsen, 2020. "Timescale classification in wind forecasting: A review of the state‐of‐the‐art," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 39(5), pages 757-768, August.
    15. Wang, Yun & Zou, Runmin & Liu, Fang & Zhang, Lingjun & Liu, Qianyi, 2021. "A review of wind speed and wind power forecasting with deep neural networks," Applied Energy, Elsevier, vol. 304(C).
    16. Hao, Ying & Dong, Lei & Liao, Xiaozhong & Liang, Jun & Wang, Lijie & Wang, Bo, 2019. "A novel clustering algorithm based on mathematical morphology for wind power generation prediction," Renewable Energy, Elsevier, vol. 136(C), pages 572-585.
    17. Wang, Jujie & Li, Yaning, 2018. "Multi-step ahead wind speed prediction based on optimal feature extraction, long short term memory neural network and error correction strategy," Applied Energy, Elsevier, vol. 230(C), pages 429-443.
    18. Qin, Yong & Li, Kun & Liang, Zhanhao & Lee, Brendan & Zhang, Fuyong & Gu, Yongcheng & Zhang, Lei & Wu, Fengzhi & Rodriguez, Dragan, 2019. "Hybrid forecasting model based on long short term memory network and deep learning neural network for wind signal," Applied Energy, Elsevier, vol. 236(C), pages 262-272.
    19. Li, Yanhui & Sun, Kaixuan & Yao, Qi & Wang, Lin, 2024. "A dual-optimization wind speed forecasting model based on deep learning and improved dung beetle optimization algorithm," Energy, Elsevier, vol. 286(C).
    20. Jakub Jurasz & Alexander Kies, 2018. "Day-Ahead Probabilistic Model for Scheduling the Operation of a Wind Pumped-Storage Hybrid Power Station: Overcoming Forecasting Errors to Ensure Reliability of Supply to the Grid," Sustainability, MDPI, vol. 10(6), pages 1-21, June.
    21. Wu, Binrong & Wang, Lin, 2024. "Two-stage decomposition and temporal fusion transformers for interpretable wind speed forecasting," Energy, Elsevier, vol. 288(C).
    22. Costa, Marcelo Azevedo & Ruiz-Cárdenas, Ramiro & Mineti, Leandro Brioschi & Prates, Marcos Oliveira, 2021. "Dynamic time scan forecasting for multi-step wind speed prediction," Renewable Energy, Elsevier, vol. 177(C), pages 584-595.
    23. Song, Jingjing & Wang, Jianzhou & Lu, Haiyan, 2018. "A novel combined model based on advanced optimization algorithm for short-term wind speed forecasting," Applied Energy, Elsevier, vol. 215(C), pages 643-658.
    24. Liu, Hui & Mi, Xiwei & Li, Yanfei, 2018. "An experimental investigation of three new hybrid wind speed forecasting models using multi-decomposing strategy and ELM algorithm," Renewable Energy, Elsevier, vol. 123(C), pages 694-705.
    25. Fei Zhang & Xiaoying Ren & Yongqian Liu, 2024. "A Refined Wind Power Forecasting Method with High Temporal Resolution Based on Light Convolutional Neural Network Architecture," Energies, MDPI, vol. 17(5), pages 1-25, March.
    26. Wang, Yun & Hu, Qinghua & Meng, Deyu & Zhu, Pengfei, 2017. "Deterministic and probabilistic wind power forecasting using a variational Bayesian-based adaptive robust multi-kernel regression model," Applied Energy, Elsevier, vol. 208(C), pages 1097-1112.
    27. Yang, Wendong & Wang, Jianzhou & Niu, Tong & Du, Pei, 2019. "A hybrid forecasting system based on a dual decomposition strategy and multi-objective optimization for electricity price forecasting," Applied Energy, Elsevier, vol. 235(C), pages 1205-1225.
    28. Yukun Wang & Aiying Zhao & Xiaoxue Wei & Ranran Li, 2023. "A Novel Ensemble Model Based on an Advanced Optimization Algorithm for Wind Speed Forecasting," Energies, MDPI, vol. 16(14), pages 1-19, July.
    29. Ban, Guihua & Chen, Yan & Xiong, Zhenhua & Zhuo, Yixin & Huang, Kui, 2024. "The univariate model for long-term wind speed forecasting based on wavelet soft threshold denoising and improved Autoformer," Energy, Elsevier, vol. 290(C).
    30. Li, Jingrui & Wang, Jianzhou & Zhang, Haipeng & Li, Zhiwu, 2022. "An innovative combined model based on multi-objective optimization approach for forecasting short-term wind speed: A case study in China," Renewable Energy, Elsevier, vol. 201(P1), pages 766-779.
    31. Wang, Yun & Xu, Houhua & Zou, Runmin & Zhang, Lingjun & Zhang, Fan, 2022. "A deep asymmetric Laplace neural network for deterministic and probabilistic wind power forecasting," Renewable Energy, Elsevier, vol. 196(C), pages 497-517.
    32. Che, Jinxing & Yuan, Fang & Zhu, Suling & Yang, Youlong, 2022. "An adaptive ensemble framework with representative subset based weight correction for short-term forecast of peak power load," Applied Energy, Elsevier, vol. 328(C).
    33. Wang, Yun & Xu, Houhua & Song, Mengmeng & Zhang, Fan & Li, Yifen & Zhou, Shengchao & Zhang, Lingjun, 2023. "A convolutional Transformer-based truncated Gaussian density network with data denoising for wind speed forecasting," Applied Energy, Elsevier, vol. 333(C).
    34. Yidi Ren & Hua Li & Hsiung-Cheng Lin, 2019. "Optimization of Feedforward Neural Networks Using an Improved Flower Pollination Algorithm for Short-Term Wind Speed Prediction," Energies, MDPI, vol. 12(21), pages 1-17, October.
    35. Xiao, Liye & Shao, Wei & Yu, Mengxia & Ma, Jing & Jin, Congjun, 2017. "Research and application of a hybrid wavelet neural network model with the improved cuckoo search algorithm for electrical power system forecasting," Applied Energy, Elsevier, vol. 198(C), pages 203-222.

  120. Cui, Qiang & Li, Ye & Yu, Chen-lu & Wei, Yi-Ming, 2016. "Evaluating energy efficiency for airlines: An application of Virtual Frontier Dynamic Slacks Based Measure," Energy, Elsevier, vol. 113(C), pages 1231-1240.

    Cited by:

    1. Seufert, Juergen Heinz & Arjomandi, Amir & Dakpo, K. Hervé, 2017. "Evaluating airline operational performance: A Luenberger-Hicks-Moorsteen productivity indicator," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 104(C), pages 52-68.
    2. Nelson, Ewan & Warren, Peter, 2020. "UK transport decoupling: On track for clean growth in transport?," Transport Policy, Elsevier, vol. 90(C), pages 39-51.
    3. Cui, Qiang & Jia, Zi-ke, 2023. "Measuring the dynamic airline energy efficiency with non-homogeneous structures," Energy, Elsevier, vol. 266(C).
    4. Amir Arjomandi & K Hervé Dakpo & Juergen Heinz Seufert, 2018. "Have Asian airlines caught up with European Airlines? A by-production efficiency analysis [Analyse comparée de l’Eco-performance des compagnies aériennes asiatiques et européennes]," Post-Print hal-02628232, HAL.
    5. Cui, Qiang & Arjomandi, Amir, 2021. "Airline energy efficiency measures based on an epsilon-based Range-Adjusted Measure model," Energy, Elsevier, vol. 217(C).
    6. Wanke, Peter & Barros, C.P., 2016. "Efficiency in Latin American airlines: A two-stage approach combining Virtual Frontier Dynamic DEA and Simplex Regression," Journal of Air Transport Management, Elsevier, vol. 54(C), pages 93-103.
    7. Hashem Omrani & Khatereh Shafaat & Arash Alizadeh, 2019. "Integrated data envelopment analysis and cooperative game for evaluating energy efficiency of transportation sector: a case of Iran," Annals of Operations Research, Springer, vol. 274(1), pages 471-499, March.
    8. Barak, Sasan & Dahooei, Jalil Heidary, 2018. "A novel hybrid fuzzy DEA-Fuzzy MADM method for airlines safety evaluation," Journal of Air Transport Management, Elsevier, vol. 73(C), pages 134-149.
    9. Miao, Zhuang & Chen, Xiaodong & Baležentis, Tomas & Sun, Chuanwang, 2019. "Atmospheric environmental productivity across the provinces of China: Joint decomposition of range adjusted measure and Luenberger productivity indicator," Energy Policy, Elsevier, vol. 132(C), pages 665-677.
    10. Wang, Jiexin & Wang, Song, 2023. "The effect of electricity market reform on energy efficiency in China," Energy Policy, Elsevier, vol. 181(C).
    11. Zhang, Junfeng & Fang, Hong & Wang, Hongxia & Jia, Mingshun & Wu, Junjie & Fang, Siran, 2017. "Energy efficiency of airlines and its influencing factors: A comparison between China and the United States," Resources, Conservation & Recycling, Elsevier, vol. 125(C), pages 1-8.
    12. Wang, Chia-Nan & Nguyen, Xuan-Tho & Le, Thi-Dao & Hsueh, Ming-Hsien, 2018. "A partner selection approach for strategic alliance in the global aerospace and defense industry," Journal of Air Transport Management, Elsevier, vol. 69(C), pages 190-204.
    13. Yu, Hang & Zhang, Yahua & Zhang, Anming & Wang, Kun & Cui, Qiang, 2019. "A comparative study of airline efficiency in China and India: A dynamic network DEA approach," Research in Transportation Economics, Elsevier, vol. 76(C).
    14. Cui, Qiang & Wei, Yi-Ming & Li, Ye, 2016. "Exploring the impacts of the EU ETS emission limits on airline performance via the Dynamic Environmental DEA approach," Applied Energy, Elsevier, vol. 183(C), pages 984-994.
    15. Wu, Tai-Hsi & Huang, Shi-Wei & Lin, Mei-Chen & Wang, Hsin-Hua, 2023. "Energy security performance evaluation revisited: From the perspective of the energy supply chain," Renewable and Sustainable Energy Reviews, Elsevier, vol. 182(C).
    16. Li, Ye & Cui, Qiang, 2018. "Airline efficiency with optimal employee allocation: An Input-shared Network Range Adjusted Measure," Journal of Air Transport Management, Elsevier, vol. 73(C), pages 150-162.
    17. Boban Djordjević & Evelin Krmac, 2019. "Evaluation of Energy-Environment Efficiency of European Transport Sectors: Non-Radial DEA and TOPSIS Approach," Energies, MDPI, vol. 12(15), pages 1-27, July.
    18. Cui, Qiang & Li, Ye, 2017. "Airline efficiency measures under CNG2020 strategy: An application of a Dynamic By-production model," Transportation Research Part A: Policy and Practice, Elsevier, vol. 106(C), pages 130-143.
    19. Liu, Xiao & Zhou, Dequn & Zhou, Peng & Wang, Qunwei, 2017. "What drives CO2 emissions from China’s civil aviation? An exploration using a new generalized PDA method," Transportation Research Part A: Policy and Practice, Elsevier, vol. 99(C), pages 30-45.
    20. Zhang, Anming & Zhang, Yahua, 2021. "Is it time for an integrated aviation market in Northeast Asia? An airline performance perspective," Transport Policy, Elsevier, vol. 110(C), pages 161-169.
    21. Li, Ye & Cui, Qiang, 2017. "Carbon neutral growth from 2020 strategy and airline environmental inefficiency: A Network Range Adjusted Environmental Data Envelopment Analysis," Applied Energy, Elsevier, vol. 199(C), pages 13-24.
    22. Abbas Mardani & Dalia Streimikiene & Tomas Balezentis & Muhamad Zameri Mat Saman & Khalil Md Nor & Seyed Meysam Khoshnava, 2018. "Data Envelopment Analysis in Energy and Environmental Economics: An Overview of the State-of-the-Art and Recent Development Trends," Energies, MDPI, vol. 11(8), pages 1-21, August.
    23. Xu, Xin & Cui, Qiang, 2017. "Evaluating airline energy efficiency: An integrated approach with Network Epsilon-based Measure and Network Slacks-based Measure," Energy, Elsevier, vol. 122(C), pages 274-286.
    24. Losa, Eduardo Tola & Arjomandi, Amir & Hervé Dakpo, K. & Bloomfield, Jason, 2020. "Efficiency comparison of airline groups in Annex 1 and non-Annex 1 countries: A dynamic network DEA approach," Transport Policy, Elsevier, vol. 99(C), pages 163-174.
    25. Cui, Qiang & Li, Ye, 2020. "A cross efficiency distinguishing method to explore the cooperation degree in dynamic airline environmental efficiency," Transport Policy, Elsevier, vol. 99(C), pages 31-43.
    26. Cui, Qiang & Li, Ye, 2017. "Airline efficiency measures using a Dynamic Epsilon-Based Measure model," Transportation Research Part A: Policy and Practice, Elsevier, vol. 100(C), pages 121-134.
    27. Cui, Qiang & Li, Ye & Wei, Yi-Ming, 2017. "Exploring the impacts of EU ETS on the pollution abatement costs of European airlines: An application of Network Environmental Production Function," Transport Policy, Elsevier, vol. 60(C), pages 131-142.
    28. Cui, Qiang, 2019. "Investigating the airlines emission reduction through carbon trading under CNG2020 strategy via a Network Weak Disposability DEA," Energy, Elsevier, vol. 180(C), pages 763-771.
    29. Pérez-Calderón, Esteban & Milanés-Montero, Patricia & Gutíerrez-Pérez, Cristina, 2021. "Climate change, where do we come from and where are we going? European aviation sector behaviour," Transport Policy, Elsevier, vol. 114(C), pages 40-48.
    30. Ying Li & Tai‐Yu Lin & Yung‐ho Chiu & Shu‐Ning Lin & Tzu‐Han Chang, 2021. "Impact of alliances and delay rate on airline performance," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 42(6), pages 1607-1618, September.
    31. Liu, Wei & Gao, Lixiang & Song, Hang & Huang, Mingdong, 2021. "Factor market distortion, technology change, and green growth in the Chinese civil airline industry," Journal of Asian Economics, Elsevier, vol. 77(C).
    32. Li, Ye & Cui, Qiang, 2018. "Investigating the role of cooperation in the GHG abatement costs of airlines under CNG2020 strategy via a DEA cross PAC model," Energy, Elsevier, vol. 161(C), pages 725-736.
    33. Cui, Qiang & Li, Ye & Lin, Jing-ling, 2018. "Pollution abatement costs change decomposition for airlines: An analysis from a dynamic perspective," Transportation Research Part A: Policy and Practice, Elsevier, vol. 111(C), pages 96-107.
    34. Shiping Mao & Marios Dominikos Kremantzis & Leonidas Sotirios Kyrgiakos & George Vlontzos, 2022. "R&D Performance Evaluation in the Chinese Food Manufacturing Industry Based on Dynamic DEA in the COVID-19 Era," Agriculture, MDPI, vol. 12(11), pages 1-19, November.
    35. Chen, Zhongfei & Wanke, Peter & Antunes, Jorge Junio Moreira & Zhang, Ning, 2017. "Chinese airline efficiency under CO2 emissions and flight delays: A stochastic network DEA model," Energy Economics, Elsevier, vol. 68(C), pages 89-108.
    36. Usman Akbar & József Popp & Hameed Khan & Muhammad Asif Khan & Judit Oláh, 2020. "Energy Efficiency in Transportation along with the Belt and Road Countries," Energies, MDPI, vol. 13(10), pages 1-20, May.
    37. Kaya, Gizem & Aydın, Umut & Ülengin, Burç & Karadayı, Melis Almula & Ülengin, Füsun, 2023. "How do airlines survive? An integrated efficiency analysis on the survival of airlines," Journal of Air Transport Management, Elsevier, vol. 107(C).
    38. Cui, Qiang & Li, Ye, 2018. "Airline dynamic efficiency measures with a Dynamic RAM with unified natural & managerial disposability," Energy Economics, Elsevier, vol. 75(C), pages 534-546.
    39. Chia-Nan Wang & Quoc-Chien Luu & Thi-Kim-Lien Nguyen & Jen-Der Day, 2019. "Assessing Bank Performance Using Dynamic SBM Model," Mathematics, MDPI, vol. 7(1), pages 1-13, January.
    40. Cui, Qiang, 2021. "A data-based comparison of the five undesirable output disposability approaches in airline environmental efficiency," Socio-Economic Planning Sciences, Elsevier, vol. 74(C).

  121. Jing-Li Fan & Hua Liao & Bao-Jun Tang & Su-Yan Pan & Hao Yu & Yi-Ming Wei, 2016. "The impacts of migrant workers consumption on energy use and CO2 emissions in China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 81(2), pages 725-743, March.

    Cited by:

    1. Ying Jiang & Linghan Zhang & Junyi Zhang, 2019. "Energy consumption by rural migrant workers and urban residents with a hukou in China: quality-of-life-related factors and built environment," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 99(3), pages 1431-1453, December.
    2. Shuddhasattwa Rafiq & Ingrid Nielsen & Russell Smyth, 2016. "Effect of Internal Migration on Air and Water Pollution in China," Monash Economics Working Papers 27-16, Monash University, Department of Economics.
    3. Gao, Cuixia & Tao, Simin & He, Yuyang & Su, Bin & Sun, Mei & Mensah, Isaac Adjei, 2021. "Effect of population migration on spatial carbon emission transfers in China," Energy Policy, Elsevier, vol. 156(C).
    4. Chunhong Sheng & Yun Cao & Bing Xue, 2018. "Residential Energy Sustainability in China and Germany: The Impact of National Energy Policy System," Sustainability, MDPI, vol. 10(12), pages 1-18, December.
    5. Wu, Jian-Xin & He, Ling-Yun, 2017. "How do Chinese cities grow? A distribution dynamics approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 470(C), pages 105-118.
    6. Qi, Wei & Li, Guangdong, 2020. "Residential carbon emission embedded in China's inter-provincial population migration," Energy Policy, Elsevier, vol. 136(C).
    7. Hua Liao & Celio Andrade & Julio Lumbreras & Jing Tian, 2018. "CO2 Emissions in Beijing: Sectoral Linkages and Demand Drivers," CEEP-BIT Working Papers 113, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
    8. Rafiq, Shuddhasattwa & Nielsen, Ingrid & Smyth, Russell, 2017. "Effect of internal migration on the environment in China," Energy Economics, Elsevier, vol. 64(C), pages 31-44.

  122. Shiwei Yu & Shuhong Zheng & Guizhi Ba & Yi-Ming Wei, 2016. "Can China realise its energy-savings goal by adjusting its industrial structure?," Economic Systems Research, Taylor & Francis Journals, vol. 28(2), pages 273-293, June.

    Cited by:

    1. Fan, Min & Lu, Zhixi & Zhou, Yun & Wang, Jian, 2024. "Threshold and spillovers effects of fintech on China's energy dependence on fossil fuel," Resources Policy, Elsevier, vol. 91(C).
    2. Nagashima, Fumiya, 2018. "The sign reversal problem in structural decomposition analysis," Energy Economics, Elsevier, vol. 72(C), pages 307-312.
    3. Wu, Rui & Dai, Hancheng & Geng, Yong & Xie, Yang & Tian, Xu, 2019. "Impacts of export restructuring on national economy and CO2 emissions: A general equilibrium analysis for China," Applied Energy, Elsevier, vol. 248(C), pages 64-78.
    4. Liu, Yajuan & Wang, Yutao & Mi, Zhifu & Ma, Zhongyu, 2018. "Carbon implications of China’s changing economic structure at the city level," Structural Change and Economic Dynamics, Elsevier, vol. 46(C), pages 163-171.
    5. Fu, Xue & Lahr, Michael & Yaxiong, Zhang & Meng, Bo, 2017. "Actions on climate change, Intended Reducing carbon emissions in China via optimal industry shifts: Toward hi-tech industries, cleaner resources and higher carbon shares in less-develop regions," Energy Policy, Elsevier, vol. 102(C), pages 616-638.
    6. Yingxue Rao & Min Zhou & Chunxia Cao & Shukui Tan & Yan Song & Zuo Zhang & Deyi Dai & Guoliang Ou & Lu Zhang & Xin Nie & Aiping Deng & Zhuoma Cairen, 2019. "Exploring the quantitive relationship between economic benefit and environmental constraint using an inexact chance-constrained fuzzy programming based industrial structure optimization model," Quality & Quantity: International Journal of Methodology, Springer, vol. 53(4), pages 2199-2220, July.
    7. Xi Zhang & Zheng Li & Linwei Ma & Chinhao Chong & Weidou Ni, 2019. "Forecasting the Energy Embodied in Construction Services Based on a Combination of Static and Dynamic Hybrid Input-Output Models," Energies, MDPI, vol. 12(2), pages 1-26, January.
    8. Zheng, Shuhong & Yang, Juan & Yu, Shiwei, 2021. "How renewable energy technological innovation promotes renewable power generation: Evidence from China's provincial panel data," Renewable Energy, Elsevier, vol. 177(C), pages 1394-1407.
    9. Song, Xiaoling & Wang, Yudong & Zhang, Zhe & Shen, Charles & Peña-Mora, Feniosky, 2021. "Economic-environmental equilibrium-based bi-level dispatch strategy towards integrated electricity and natural gas systems," Applied Energy, Elsevier, vol. 281(C).
    10. Maria Markaki & Stelios Papadakis & Anna Putnová, 2021. "A Modern Industrial Policy for the Czech Republic: Optimizing the Structure of Production," Mathematics, MDPI, vol. 9(23), pages 1-20, November.
    11. Feng Wang & Changhai Gao & Wulin Zhang & Danwen Huang, 2021. "Industrial Structure Optimization and Low-Carbon Transformation of Chinese Industry Based on the Forcing Mechanism of CO 2 Emission Peak Target," Sustainability, MDPI, vol. 13(8), pages 1-26, April.
    12. Alexander Melnik & Irina Naoumova & Kirill Ermolaev & Jerome Katrichis, 2021. "Driving Innovation through Energy Efficiency: A Russian Regional Analysis," Sustainability, MDPI, vol. 13(9), pages 1-19, April.
    13. Jiang, Meihui & An, Haizhong & Gao, Xiangyun & Liu, Donghui & Jia, Nanfei & Xi, Xian, 2020. "Consumption-based multi-objective optimization model for minimizing energy consumption: A case study of China," Energy, Elsevier, vol. 208(C).
    14. Xi Zhang & Zheng Li & Linwei Ma & Chinhao Chong & Weidou Ni, 2019. "Analyzing Carbon Emissions Embodied in Construction Services: A Dynamic Hybrid Input–Output Model with Structural Decomposition Analysis," Energies, MDPI, vol. 12(8), pages 1-23, April.
    15. Zhao, Jun & Jiang, Qingzhe & Dong, Xiucheng & Dong, Kangyin & Jiang, Hongdian, 2022. "How does industrial structure adjustment reduce CO2 emissions? Spatial and mediation effects analysis for China," Energy Economics, Elsevier, vol. 105(C).
    16. Yu, Shiwei & Zheng, Shuhong & Zhang, Xuejiao & Gong, Chengzhu & Cheng, Jinhua, 2018. "Realizing China's goals on energy saving and pollution reduction: Industrial structure multi-objective optimization approach," Energy Policy, Elsevier, vol. 122(C), pages 300-312.
    17. Yu, Shiwei & Liu, Jie & Hu, Xing & Tian, Peng, 2022. "Does development of renewable energy reduce energy intensity? Evidence from 82 countries," Technological Forecasting and Social Change, Elsevier, vol. 174(C).
    18. Xing, Menglin & Liu, Xiaojun & Luo, Fuzhou, 2023. "How does the development of urban agglomeration affect the electricity efficiency of resource-based cities?—An empirical research based on the fsQCA method," Socio-Economic Planning Sciences, Elsevier, vol. 86(C).

  123. Chen, Xiude & Qin, Quande & Wei, Y.-M., 2016. "Energy productivity and Chinese local officials’ promotions: Evidence from provincial governors," Energy Policy, Elsevier, vol. 95(C), pages 103-112.

    Cited by:

    1. Guanglei Yang & Dongqin Cao & Guoxing Zhang, 2023. "How does industry-university-research collaborative innovation affect energy intensity in China: a novel explanation based on political turnover," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-12, December.
    2. Jian, Jian-hui & Hu, Dan & Tian, Haiyan & Long, Chengfeng & Yang, Fan, 2023. "Political uncertainty, officials’ characteristics heterogeneity and firm cost stickiness," Economic Analysis and Policy, Elsevier, vol. 78(C), pages 776-791.
    3. Kang, Jijun & Yu, Chenyang & Xue, Rui & Yang, Dong & Shan, Yuli, 2022. "Can regional integration narrow city-level energy efficiency gap in China?," Energy Policy, Elsevier, vol. 163(C).
    4. Tengfei Huo & Hong Ren & Weiguang Cai & Wei Feng & Miaohan Tang & Nan Zhou, 2018. "The total-factor energy productivity growth of China’s construction industry: evidence from the regional level," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 92(3), pages 1593-1616, July.
    5. Cao, Dongqin & Peng, Can & Yang, Guanglei & Zhang, Wei, 2022. "How does the pressure of political promotion affect renewable energy technological innovation? Evidence from 30 Chinese provinces," Energy, Elsevier, vol. 254(PA).
    6. Liu, Chang & Zhu, Bei & Ni, Jinlan & Wei, Chu, 2021. "Residential coal-switch policy in China: Development, achievement, and challenge," Energy Policy, Elsevier, vol. 151(C).
    7. Wang, Shiyan & Li, Chengjiang & Zhang, Wei & Sui, Jingyu & Negnevitsky, Michael, 2024. "Assessing the impact of prefabricated buildings on urban green total factor energy efficiency," Energy, Elsevier, vol. 297(C).
    8. Liangjun Yi & Wei Zhang & Yuanxin Liu & Weilin Zhang, 2021. "An Analysis of the Impact of Market Segmentation on Energy Efficiency: A Spatial Econometric Model Applied in China," Sustainability, MDPI, vol. 13(14), pages 1-23, July.
    9. Cheng, Cheng & Huang, Bo & Wang, Yiqian & Hu, Lei, 2024. "Military background officials, risk awareness, and local government fiscal balance: Novel evidence from text analysis of Chinese local officials' news reports," China Economic Review, Elsevier, vol. 85(C).
    10. Que, Wei & Zhang, Yabin & Schulze, Günther, 2019. "Is public spending behavior important for Chinese official promotion? Evidence from city-level," China Economic Review, Elsevier, vol. 54(C), pages 403-417.
    11. Haiyuan Yin & Baifan Chen, 2021. "Hometown identity of financial officials, financial development and promotion of officials in China," Australian Economic Papers, Wiley Blackwell, vol. 60(3), pages 520-543, September.
    12. Zhao, Ge & Zhou, P. & Wen, Wen, 2022. "What cause regional inequality of technology innovation in renewable energy? Evidence from China," Applied Energy, Elsevier, vol. 310(C).
    13. Qu, Chenyao & Shao, Jun & Shi, Zhenkai, 2020. "Does financial agglomeration promote the increase of energy efficiency in China?," Energy Policy, Elsevier, vol. 146(C).
    14. Wang, Jiayi & Lei, Ping, 2021. "The tournament of Chinese environmental protection: Strong or weak competition?," Ecological Economics, Elsevier, vol. 181(C).
    15. Tang, Pengcheng & Yang, Shuwang & Fu, Shuke, 2018. "Do political incentive affects China's land transfer in energy-intensive industries?," Energy, Elsevier, vol. 164(C), pages 550-559.
    16. Li, Kai & Tan, Xiujie & Yan, Yaxue & Jiang, Dalin & Qi, Shaozhou, 2022. "Directing energy transition toward decarbonization: The China story," Energy, Elsevier, vol. 261(PA).
    17. Wu, Mingqin & Cao, Xun, 2021. "Greening the career incentive structure for local officials in China: Does less pollution increase the chances of promotion for Chinese local leaders?," Journal of Environmental Economics and Management, Elsevier, vol. 107(C).
    18. Cao, Dongqin & Peng, Can & Yang, Guanglei, 2022. "The pressure of political promotion and renewable energy technological innovation: A spatial econometric analysis from China," Technological Forecasting and Social Change, Elsevier, vol. 183(C).
    19. Tang, Pengcheng & Jiang, Qisheng & Mi, Lili, 2021. "One-vote veto: The threshold effect of environmental pollution in China's economic promotion tournament," Ecological Economics, Elsevier, vol. 185(C).
    20. Zhuo, Chong & Luo, Kang & Song, Yaning & Dai, Ling & Liu, Yaobin, 2024. "Regional coordinated development and green transformation: Evidence from major national strategic zones," Economic Analysis and Policy, Elsevier, vol. 81(C), pages 1290-1307.
    21. Chen, Bochao & Wang, Hang & Wang, Xianbin, 2024. "Innovation Like China: Evidence from Chinese Local Officials' Promotions," China Economic Review, Elsevier, vol. 86(C).

  124. Xiao-Hua Yang & Bo-Yang Sun & Jian Zhang & Mei-Shui Li & Jun He & Yi-Ming Wei & Yu-Qi Li, 2016. "Hierarchy evaluation of water resources vulnerability under climate change in Beijing, China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 84(1), pages 63-76, November.

    Cited by:

    1. Xueting Zeng & Hua Xiang & Jia Liu & Yong Xue & Jinxin Zhu & Yuqian Xu, 2021. "Identification of Policies Based on Assessment-Optimization Model to Confront Vulnerable Resources System with Large Population Scale in a Big City," IJERPH, MDPI, vol. 18(24), pages 1-27, December.
    2. Boyang Sun & Xiaohua Yang & Yipeng Zhang & Xiaojuan Chen, 2019. "Evaluation of Water Use Efficiency of 31 Provinces and Municipalities in China Using Multi-Level Entropy Weight Method Synthesized Indexes and Data Envelopment Analysis," Sustainability, MDPI, vol. 11(17), pages 1-11, August.

  125. Wang, Qian & Hubacek, Klaus & Feng, Kuishuang & Wei, Yi-Ming & Liang, Qiao-Mei, 2016. "Distributional effects of carbon taxation," Applied Energy, Elsevier, vol. 184(C), pages 1123-1131.

    Cited by:

    1. Immervoll, Herwig & Linden, Jules & O'Donoghue, Cathal & Sologon, Denisa Maria, 2023. "Who Pays for Higher Carbon Prices? Illustration for Lithuania and a Research Agenda," IZA Discussion Papers 15868, Institute of Labor Economics (IZA).
    2. Feng, Kuishuang & Hubacek, Klaus & Liu, Yu & Marchán, Estefanía & Vogt-Schilb, Adrien, 2018. "Managing the distributional effects of energy taxes and subsidy removal in Latin America and the Caribbean," Applied Energy, Elsevier, vol. 225(C), pages 424-436.
    3. Ordonez, Jose Antonio & Jakob, Michael & Steckel, Jan Christoph & Ward, Hauke, 2023. "India's just energy transition: Political economy challenges across states and regions," Energy Policy, Elsevier, vol. 179(C).
    4. Brown, Marilyn A. & Li, Yufei & Soni, Anmol, 2020. "Are all jobs created equal? Regional employment impacts of a U.S. carbon tax," Applied Energy, Elsevier, vol. 262(C).
    5. Tiemei Yan & Tong Zhang & Zhanguo Zhu, 2023. "The Environmental Tax Scheme in China’s Large-Scale Pig Farming: Balancing Economic Burden and Responsibility," Agriculture, MDPI, vol. 13(8), pages 1-20, August.
    6. Johan Lilliestam & Anthony Patt & Germán Bersalli, 2021. "The effect of carbon pricing on technological change for full energy decarbonization: A review of empirical ex‐post evidence," Wiley Interdisciplinary Reviews: Climate Change, John Wiley & Sons, vol. 12(1), January.
    7. Alvarez, Maximiliano, 2019. "Distributional effects of environmental taxation: An approximation with a meta-regression analysis," Economic Analysis and Policy, Elsevier, vol. 62(C), pages 382-401.
    8. Yannic Rehm & Lucas Chancel, 2022. "Measuring the Carbon Content of Wealth Evidence from France and Germany," Working Papers halshs-03828939, HAL.
    9. Freyre, Alisa & Klinke, Sandra & Patel, Martin K., 2020. "Carbon tax and energy programs for buildings: Rivals or allies?," Energy Policy, Elsevier, vol. 139(C).
    10. Li, Aijun & Peng, Dan & Wang, Daoping & Yao, Xin, 2017. "Comparing regional effects of climate policies to promote non-fossil fuels in China," Energy, Elsevier, vol. 141(C), pages 1998-2012.
    11. Gilang Hardadi & Alexander Buchholz & Stefan Pauliuk, 2021. "Implications of the distribution of German household environmental footprints across income groups for integrating environmental and social policy design," Journal of Industrial Ecology, Yale University, vol. 25(1), pages 95-113, February.
    12. Liotta,Charlotte & Avner,Paolo & Viguié,Vincent & Selod,Harris & Hallegatte,Stephane, 2022. "Climate Policy and Inequality in Urban Areas : Beyond Incomes," Policy Research Working Paper Series 10185, The World Bank.
    13. Pottier, Antonin, 2022. "Expenditure elasticity and income elasticity of GHG emissions: A survey of literature on household carbon footprint," Ecological Economics, Elsevier, vol. 192(C).
    14. Ohlendorf, Nils & Jacob, Michael & Minx, Jan Christoph & Schröder, Carsten & Steckel, Jan Christoph, 2020. "Distributional Impacts of Carbon Pricing: A Meta-Analysis," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 78(1), pages 1-42.
    15. Fouquet, Roger & O’Garra, Tanya, 2022. "In pursuit of progressive and effective climate policies: comparing an air travel carbon tax and a frequent flyer levy," LSE Research Online Documents on Economics 116689, London School of Economics and Political Science, LSE Library.
    16. Yu, Fan & Xiao, De & Chang, Meng-Shiuh, 2021. "The impact of carbon emission trading schemes on urban-rural income inequality in China: A multi-period difference-in-differences method," Energy Policy, Elsevier, vol. 159(C).
    17. Hübler, Michael & Wiese, Malin & Braun, Marius & Damster, Johannes, 2024. "The distributional effects of CO2 pricing at home and at the border on German income groups," Resource and Energy Economics, Elsevier, vol. 77(C).
    18. Yannic Rehm & Lucas Chancel, 2022. "Measuring the Carbon Content of Wealth Evidence from France and Germany," PSE Working Papers halshs-03828939, HAL.
    19. Yannic Rehm & Lucas Chancel, 2022. "Measuring the Carbon Content of Wealth Evidence from France and Germany," World Inequality Lab Working Papers halshs-03828939, HAL.
    20. Nils Ohlendorf & Michael Jakob & Jan Christoph Minx & Carsten Schröder & Jan Christoph Steckel, 2018. "Distributional Impacts of Climate Mitigation Policies - a Meta-Analysis," Discussion Papers of DIW Berlin 1776, DIW Berlin, German Institute for Economic Research.
    21. Wen, Jun & Farooq, Umar & Tabash, Mosab I. & El Refae, Ghaleb A. & Ahmed, Jaleel & Subhani, Bilal Haider, 2021. "Government green environmental concerns and corporate real investment decisions: Does financial sector development matter?," Energy Policy, Elsevier, vol. 158(C).
    22. Distefano, Tiziano & D’Alessandro, Simone, 2023. "Introduction of the carbon tax in Italy: Is there room for a quadruple-dividend effect?," Energy Economics, Elsevier, vol. 120(C).
    23. Malerba, Daniele & Gaentzsch, Anja & Ward, Hauke, 2021. "Mitigating poverty: The patterns of multiple carbon tax and recycling regimes for Peru," Energy Policy, Elsevier, vol. 149(C).
    24. Orlov, Anton, 2017. "Distributional effects of higher natural gas prices in Russia," Energy Policy, Elsevier, vol. 109(C), pages 590-600.
    25. Anan Wattanakuljarus, 2019. "Effects and burdens of a carbon tax scheme in Thailand," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 9(2), pages 173-219, June.
    26. Li, Wei & Sun, Hui & Dong, Hao & Gan, Yuqin & Koh, Lenny, 2023. "Outsourcing decision-making in global remanufacturing supply chains: The impact of tax and tariff regulations," European Journal of Operational Research, Elsevier, vol. 304(3), pages 997-1010.
    27. Dorband, Ira Irina & Jakob, Michael & Kalkuhl, Matthias & Steckel, Jan Christoph, 2019. "Poverty and distributional effects of carbon pricing in low- and middle-income countries – A global comparative analysis," World Development, Elsevier, vol. 115(C), pages 246-257.
    28. Anton Orlov, 2017. "Distributional effects of higher natural gas prices in Russia," EcoMod2017 10186, EcoMod.
    29. Zhang, Kun & Xue, Mei-Mei & Feng, Kuishuang & Liang, Qiao-Mei, 2019. "The economic effects of carbon tax on China’s provinces," Journal of Policy Modeling, Elsevier, vol. 41(4), pages 784-802.
    30. Hammerle, Mara & Best, Rohan & Crosby, Paul, 2021. "Public acceptance of carbon taxes in Australia," Energy Economics, Elsevier, vol. 101(C).
    31. McLaughlin, Craig & Elamer, Ahmed A. & Glen, Thomas & AlHares, Aws & Gaber, Hazem Rasheed, 2019. "Accounting society's acceptability of carbon taxes: Expectations and reality," Energy Policy, Elsevier, vol. 131(C), pages 302-311.
    32. Moz-Christofoletti, Maria Alice & Pereda, Paula Carvalho, 2021. "Winners and losers: the distributional impacts of a carbon tax in Brazil," Ecological Economics, Elsevier, vol. 183(C).
    33. Cai, Bofeng & Guo, Huanxiu & Ma, Zipeng & Wang, Zhixuan & Dhakal, Shobhakar & Cao, Libin, 2019. "Benchmarking carbon emissions efficiency in Chinese cities: A comparative study based on high-resolution gridded data," Applied Energy, Elsevier, vol. 242(C), pages 994-1009.
    34. Saelim, Supawan, 2019. "Carbon tax incidence on household consumption: Heterogeneity across socio-economic factors in Thailand," Economic Analysis and Policy, Elsevier, vol. 62(C), pages 159-174.
    35. Wang, Qian & Hubacek, Klaus & Feng, Kuishuang & Guo, Lin & Zhang, Kun & Xue, Jinjun & Liang, Qiao-Mei, 2019. "Distributional impact of carbon pricing in Chinese provinces," Energy Economics, Elsevier, vol. 81(C), pages 327-340.
    36. Jia, Zhijie & Lin, Boqiang, 2020. "Rethinking the choice of carbon tax and carbon trading in China," Technological Forecasting and Social Change, Elsevier, vol. 159(C).
    37. Maria Alice Moz-Christofoletti & Paula Carvalho Pereda, 2021. "Winners and losers: the distributional impact of a carbon tax in Brazil," Working Papers, Department of Economics 2021_08, University of São Paulo (FEA-USP).
    38. Mathias Kirchner & Mark Sommer & Claudia Kettner-Marx & Daniela Kletzan-Slamanig & Katharina Köberl-Schmid & Kurt Kratena, 2018. "CO2 Tax Scenarios for Austria. Impacts on Household Income Groups, CO2 Emissions, and the Economy," WIFO Working Papers 558, WIFO.
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    41. Bekkers, Eddy & Yilmaz, Ayse Nihal & Bacchetta, Marc & Ferrero, Mateo & Jhunjhunwala, Kirti & Métivier, Jeanne & Okogu, Bright E. & Ramos, Daniel & Tresa, Enxhi & Xu, Ankai, 2024. "A global framework for climate mitigation policies: A technical contribution to the discussion on carbon pricing and equivalent policies in open economies," WTO Staff Working Papers ERSD-2024-03, World Trade Organization (WTO), Economic Research and Statistics Division.
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    43. Alberto Gago & Xavier Labandeira & José M. Labeaga & Xiral López Otero, 2021. "Transport Taxes and Decarbonization in Spain: Distributional Impacts and Compensation," Hacienda Pública Española / Review of Public Economics, IEF, vol. 238(3), pages 101-136, September.
    44. Mathias Mier & Kais Siala & Kristina Govorukha & Philip Mayer, 2022. "Collaboration, Decarbonization, and Distributional Effects," ifo Working Paper Series 368, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
    45. Lekavičius, V. & Bobinaitė, V. & Galinis, A. & Pažėraitė, A., 2020. "Distributional impacts of investment subsidies for residential energy technologies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 130(C).
    46. Taylor, David D.J. & Layurova, Mariya & Vogel, David S. & Slocum, Alexander H., 2019. "Black into green: A BIG opportunity for North Dakota’s oil and gas producers," Applied Energy, Elsevier, vol. 242(C), pages 1189-1197.
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    48. Sheng-Yuan Wang & Kyung-Tae Lee & Ju-Hyung Kim, 2022. "Green Retrofitting Simulation for Sustainable Commercial Buildings in China Using a Proposed Multi-Agent Evolutionary Game," Sustainability, MDPI, vol. 14(13), pages 1-32, June.
    49. Zhang, Xiao-Bing & Xu, Jing, 2018. "Optimal policies for climate change: A joint consideration of CO2 and methane," Applied Energy, Elsevier, vol. 211(C), pages 1021-1029.
    50. Martin C. Hänsel & Max Franks & Matthias Kalkuhl & Ottmar Edenhofer, 2021. "Optimal carbon taxation and horizontal equity: A welfare-theoretic approach with application to German household data," CEPA Discussion Papers 28, Center for Economic Policy Analysis.
    51. Alena Miftakhova & Clément Renoir, 2021. "Economic Growth and Equity in Anticipation of Climate Policy," CER-ETH Economics working paper series 21/355, CER-ETH - Center of Economic Research (CER-ETH) at ETH Zurich.
    52. Ade Tutty Rokhayati Rosa & Ikka Kartika Abbas Fauzi & Zuraidah Mohd Sanusi, 2021. "Environmental Factors and Bank Performance: How Financial Market Role Players React in Malaysia?," International Journal of Energy Economics and Policy, Econjournals, vol. 11(1), pages 565-570.
    53. Moz-Christofoletti, Maria Alice & Pereda, Paula Carvalho, 2021. "Distributional welfare and emission effects of energy tax policies in Brazil," Energy Economics, Elsevier, vol. 104(C).
    54. Chepeliev, Maksym & Osorio Rodarte, Israel & van der Mensbrugghe, Dominique, 2021. "Distributional Impacts of Carbon Pricing Policies under Paris Agreement: Inter and Intra-Regional Perspectives," Conference papers 333274, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    55. Ali Cenap Yologlu & Bulent Halisdemir, 2024. "Understanding the Social Determinants of Household Carbon Emissions for Carbon Mitigation Policies: The Case of Mersin, Turkey," Sustainability, MDPI, vol. 16(14), pages 1-29, July.
    56. Chen, Qian & Zha, Donglan & Salman, Muhammad, 2022. "The influence of carbon tax on CO2 rebound effect and welfare in Chinese households," Energy Policy, Elsevier, vol. 168(C).
    57. Jacobs, Leif & Quack, Lara & Mechtel, Mario, 2022. "Distributional effects of carbon pricing by transport fuel taxation," Energy Economics, Elsevier, vol. 114(C).
    58. Ulrich Eydam, 2021. "The Distributional Implications of Climate Policies Under Uncertainty," CEPA Discussion Papers 33, Center for Economic Policy Analysis.
    59. Eliasson, Jonas & Pyddoke, Roger & Swärdh, Jan-Erik, 2018. "Distributional effects of taxes on car fuel, use, ownership and purchases," Economics of Transportation, Elsevier, vol. 15(C), pages 1-15.
    60. Ke Wang & Jiayu Wang & Klaus Hubacek & Zhifu Mi & Yi‐Ming Wei, 2020. "A cost–benefit analysis of the environmental taxation policy in China: A frontier analysis‐based environmentally extended input–output optimization method," Journal of Industrial Ecology, Yale University, vol. 24(3), pages 564-576, June.
    61. Lingxiao Zhao & Yunpeng Tang & Yan Liu, 2023. "How Does Environmental Tax Influence the Scale and Efficiency of Green Investment among China’s Heavily Polluting Enterprises?," Sustainability, MDPI, vol. 15(20), pages 1-26, October.
    62. Weiner, Csaba & Muth, Dániel & Lakócai, Csaba, 2023. "A szén-dioxid-kibocsátást terhelő adó társadalmi elfogadottsága és a fizetési hajlandóság alakulása Magyarországon [Public acceptance of and willingness to pay for a tax on carbon-dioxide emissions," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(10), pages 1077-1107.
    63. Kirchner, Mathias & Sommer, Mark & Kratena, Kurt & Kletzan-Slamanig, Daniela & Kettner-Marx, Claudia, 2019. "CO2 taxes, equity and the double dividend – Macroeconomic model simulations for Austria," Energy Policy, Elsevier, vol. 126(C), pages 295-314.
    64. Leif Jacobs & Lara Quack & Mario Mechtel, 2021. "Distributional Effects of Carbon Pricing by Transport Fuel Taxation," Working Paper Series in Economics 405, University of Lüneburg, Institute of Economics.
    65. Aleksandra Kuzior & Yaryna Samusevych & Serhiy Lyeonov & Dariusz Krawczyk & Dymytrii Grytsyshen, 2023. "Applying Energy Taxes to Promote a Clean, Sustainable and Secure Energy System: Finding the Preferable Approaches," Energies, MDPI, vol. 16(10), pages 1-26, May.
    66. Jia, Zhijie & Lin, Boqiang & Liu, Xiying, 2023. "Rethinking the equity and efficiency of carbon tax: A novel perspective," Applied Energy, Elsevier, vol. 346(C).
    67. Starr, Jared & Nicolson, Craig & Ash, Michael & Markowitz, Ezra M. & Moran, Daniel, 2023. "Assessing U.S. consumers' carbon footprints reveals outsized impact of the top 1%," Ecological Economics, Elsevier, vol. 205(C).
    68. George, Jan Frederick & Werner, Simon & Preuß, Sabine & Winkler, Jenny & Held, Anne & Ragwitz, Mario, 2023. "The landlord-tenant dilemma: Distributional effects of carbon prices, redistribution and building modernisation policies in the German heating transition," Applied Energy, Elsevier, vol. 339(C).
    69. Zhang, Pan & Wang, Huan, 2022. "Do provincial energy policies and energy intensity targets help reduce CO2 emissions? Evidence from China," Energy, Elsevier, vol. 245(C).
    70. Dorman,Peter, 2022. "Alligators in the Arctic and How to Avoid Them," Cambridge Books, Cambridge University Press, number 9781316516270, September.
    71. Dong, Zhaoyingzi & Xiao, Yue, 2024. "Carbon emissions trading policy and climate injustice: A study on economic distributional impacts," Energy, Elsevier, vol. 296(C).
    72. Lynn Riggs & Livvy Mitchell, 2021. "Methodology for Modelling Distributional Impacts of Emissions Budgets on Employment in New Zealand," Working Papers 21_14, Motu Economic and Public Policy Research.
    73. Muth, Daniel, 2023. "Pathways to stringent carbon pricing: Configurations of political economy conditions and revenue recycling strategies. A comparison of thirty national level policies," Ecological Economics, Elsevier, vol. 214(C).
    74. Garaffa, Rafael & Cunha, Bruno S.L. & Cruz, Talita & Bezerra, Paula & Lucena, André F.P. & Gurgel, Angelo C., 2021. "Distributional effects of carbon pricing in Brazil under the Paris Agreement," Energy Economics, Elsevier, vol. 101(C).

  126. Liao, Hua & Tang, Xin & Wei, Yi-Ming, 2016. "Solid fuel use in rural China and its health effects," Renewable and Sustainable Energy Reviews, Elsevier, vol. 60(C), pages 900-908.
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  127. Xiao-Chen Yuan & Xun Sun & Upmanu Lall & Zhi-Fu Mi & Jun He & Yi-Ming Wei, 2016. "China’s socioeconomic risk from extreme events in a changing climate: a hierarchical Bayesian model," Climatic Change, Springer, vol. 139(2), pages 169-181, November.
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  128. Mi, Zhifu & Zhang, Yunkun & Guan, Dabo & Shan, Yuli & Liu, Zhu & Cong, Ronggang & Yuan, Xiao-Chen & Wei, Yi-Ming, 2016. "Consumption-based emission accounting for Chinese cities," Applied Energy, Elsevier, vol. 184(C), pages 1073-1081.
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  129. Yi-Ming Wei & Ke Wang & Zhao-Hua Wang & Hirokazu Tatano, 2015. "Vulnerability of infrastructure to natural hazards and climate change in China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 75(2), pages 107-110, February.

    Cited by:

    1. Maria Ikram & Zhijun Yan & Yan Liu & Weihua Qu, 2015. "Seasonal effects of temperature fluctuations on air quality and respiratory disease: a study in Beijing," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 79(2), pages 833-853, November.

  130. Jun He & Xiao-Hua Yang & Jian-Qiang Li & Ju-Liang Jin & Yi-Ming Wei & Xiao-Juan Chen, 2015. "Spatiotemporal variation of meteorological droughts based on the daily comprehensive drought index in the Haihe River basin, China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 75(2), pages 199-217, February.

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    1. Jieming Chou & Mingyang Sun & Wenjie Dong & Weixing Zhao & Jiangnan Li & Yuanmeng Li & Jianyin Zhou, 2021. "Assessment and Prediction of Climate Risks in Three Major Urban Agglomerations of Eastern China," Sustainability, MDPI, vol. 13(23), pages 1-21, November.
    2. Xiao, Xin & Ming, Wenting & Luo, Xuan & Yang, Luyi & Li, Meng & Yang, Pengwu & Ji, Xuan & Li, Yungang, 2024. "Leveraging multisource data for accurate agricultural drought monitoring: A hybrid deep learning model," Agricultural Water Management, Elsevier, vol. 293(C).
    3. Feng Gao & Yuhu Zhang & Xiulin Ren & Yunjun Yao & Zengchao Hao & Wanyuan Cai, 2018. "Evaluation of CHIRPS and its application for drought monitoring over the Haihe River Basin, China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 92(1), pages 155-172, May.

  131. Jing-Li Fan & Bao-Jun Tang & Hao Yu & Yun-Bing Hou & Yi-Ming Wei, 2015. "Impact of climatic factors on monthly electricity consumption of China’s sectors," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 75(2), pages 2027-2037, January.

    Cited by:

    1. Zhang, Mingyang & Zhang, Kaiwen & Hu, Wuyang & Zhu, Bangzhu & Wang, Ping & Wei, Yi-Ming, 2020. "Exploring the climatic impacts on residential electricity consumption in Jiangsu, China," Energy Policy, Elsevier, vol. 140(C).
    2. Xinhui Lu & Kaile Zhou & Felix T. S. Chan & Shanlin Yang, 2017. "Optimal scheduling of household appliances for smart home energy management considering demand response," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 88(3), pages 1639-1653, September.
    3. Jing-Li Fan & Bao-Jun Tang & Hao Yu & Yun-Bing Hou & Yi-Ming Wei, 2015. "Impacts of socioeconomic factors on monthly electricity consumption of China’s sectors," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 75(2), pages 2039-2047, January.
    4. Xiaowen Ding & Lin Liu & Guohe Huang & Ye Xu & Junhong Guo, 2019. "A Multi-Objective Optimization Model for a Non-Traditional Energy System in Beijing under Climate Change Conditions," Energies, MDPI, vol. 12(9), pages 1-21, May.
    5. Fan, Jing-Li & Hu, Jia-Wei & Zhang, Xian, 2019. "Impacts of climate change on electricity demand in China: An empirical estimation based on panel data," Energy, Elsevier, vol. 170(C), pages 880-888.
    6. Meixuan Teng & Hua Liao & Paul J. Burke & Tianqi Chen & Chen Zhang, 2022. "Adaptive responses: the effects of temperature levels on residential electricity use in China," Climatic Change, Springer, vol. 172(3), pages 1-20, June.
    7. Silva, Susana & Soares, Isabel & Pinho, Carlos, 2020. "Climate change impacts on electricity demand: The case of a Southern European country," Utilities Policy, Elsevier, vol. 67(C).
    8. Jiang, Lei & Yang, Yue & Wu, Qingyang & Yang, Linshuang & Yang, Zaoli, 2024. "Hotter days, dirtier air: The impact of extreme heat on energy and pollution intensity in China," Energy Economics, Elsevier, vol. 130(C).
    9. Ge, Fei & Ye, Bin & Xing, Shengnan & Wang, Bao & Sun, Shuang, 2017. "The analysis of the underlying reasons of the inconsistent relationship between economic growth and the consumption of electricity in China – A case study of Anhui province," Energy, Elsevier, vol. 128(C), pages 601-608.
    10. Nnaemeka Vincent Emodi & Taha Chaiechi & ABM Rabiul Alam Beg, 2018. "The impact of climate change on electricity demand in Australia," Energy & Environment, , vol. 29(7), pages 1263-1297, November.
    11. Shengnan Xing & Jindian Lu & Chengmei Zhang & Shuang Sun, 2019. "Does line loss broaden the deviation between the added value of industry and the industrial electricity consumption in China?," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 21(4), pages 1635-1648, August.

  132. Hao, Yu & Wei, Yi-Ming, 2015. "When does the turning point in China's CO2 emissions occur? Results based on the Green Solow model," Environment and Development Economics, Cambridge University Press, vol. 20(6), pages 723-745, December.
    See citations under working paper version above.
  133. Zhu, Bangzhu & Wang, Kefan & Chevallier, Julien & Wang, Ping & Wei, Yi-Ming, 2015. "Can China achieve its carbon intensity target by 2020 while sustaining economic growth?," Ecological Economics, Elsevier, vol. 119(C), pages 209-216.
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  134. Cheng-Guo Wu & Yi-Ming Wei & Ju-Liang Jin & Qiang Huang & Yu-Liang Zhou & Li Liu, 2015. "Comprehensive evaluation of ice disaster risk of the Ningxia–Inner Mongolia Reach in the upper Yellow River," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 75(2), pages 179-197, February.

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    1. Dang Luo & Wenxin Mao & Huifang Sun, 2017. "Risk assessment and analysis of ice disaster in Ning–Meng reach of Yellow River based on a two-phased intelligent model under grey information environment," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 88(1), pages 591-610, August.
    2. Ruiling Sun & Ge Gao & Zaiwu Gong & Jie Wu, 2020. "A review of risk analysis methods for natural disasters," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 100(2), pages 571-593, January.
    3. Jianxia Chang & Xuebin Wang & Yunyun Li & Yimin Wang, 2016. "Ice regime variation impacted by reservoir operation in the Ning-Meng reach of the Yellow River," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 80(2), pages 1015-1030, January.
    4. Wenxin Mao & Wenping Wang & Dang Luo & Huifang Sun, 2019. "Analyzing interactions between risk factors for ice disaster in Ning-Meng reach of Yellow River based on grey rough DEMATEL method," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 97(3), pages 1025-1049, July.
    5. Jianxia Chang & Xuebin Wang & Yunyun Li & Yimin Wang, 2016. "Ice regime variation impacted by reservoir operation in the Ning-Meng reach of the Yellow River," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 80(2), pages 1015-1030, January.

  135. Hao, Yu & Liao, Hua & Wei, Yi-Ming, 2015. "Is China’s carbon reduction target allocation reasonable? An analysis based on carbon intensity convergence," Applied Energy, Elsevier, vol. 142(C), pages 229-239.
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  136. Bangzhu Zhu & Ping Wang & Julien Chevallier & Yiming Wei, 2015. "Carbon Price Analysis Using Empirical Mode Decomposition," Computational Economics, Springer;Society for Computational Economics, vol. 45(2), pages 195-206, February.
    See citations under working paper version above.
  137. Hao, Yu & Zhang, Zong-Yong & Liao, Hua & Wei, Yi-Ming, 2015. "China’s farewell to coal: A forecast of coal consumption through 2020," Energy Policy, Elsevier, vol. 86(C), pages 444-455.
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  138. Daniel Johansson & Paul Lucas & Matthias Weitzel & Erik Ahlgren & A. Bazaz & Wenying Chen & Michel Elzen & Joydeep Ghosh & Maria Grahn & Qiao-Mei Liang & Sonja Peterson & Basanta Pradhan & Bas Ruijven, 2015. "Multi-model comparison of the economic and energy implications for China and India in an international climate regime," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 20(8), pages 1335-1359, December.

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    1. Niklas Vahlne & Erik O. Ahlgren, 2014. "Energy Efficiency at the Base of the Pyramid: A System-Based Market Model for Improved Cooking Stove Adoption," Sustainability, MDPI, vol. 6(12), pages 1-21, November.
    2. Matthias Weitzel, 2017. "The role of uncertainty in future costs of key CO2 abatement technologies: a sensitivity analysis with a global computable general equilibrium model," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 22(1), pages 153-173, January.
    3. Bashir, Muhammad Farhan & Ma, Beiling & Sharif, Arshian & Ao, Tong & Koca, Kemal, 2023. "Nuclear energy consumption, energy access and energy poverty: Policy implications for the COP27 and environmental sustainability," Technology in Society, Elsevier, vol. 75(C).
    4. Kang, Jia-Ning & Wei, Yi-Ming & Liu, Lan-Cui & Han, Rong & Yu, Bi-Ying & Wang, Jin-Wei, 2020. "Energy systems for climate change mitigation: A systematic review," Applied Energy, Elsevier, vol. 263(C).
    5. N. B. Melnikov & A. P. Gruzdev & M. G. Dalton & M. Weitzel & B. C. O’Neill, 2021. "Parallel Extended Path Method for Solving Perfect Foresight Models," Computational Economics, Springer;Society for Computational Economics, vol. 58(2), pages 517-534, August.
    6. Mariësse A. E. Van Sluisveld & David E. H. J. Gernaat & Shuichi Ashina & Katherine V. Calvin & Amit Garg & Morna Isaac & Paul L. Lucas & Ioanna Mouratiadou & Sander A. C. Otto & Shilpa Rao & Priyadars, 2013. "A Multi-Model Analysis Of Post-2020 Mitigation Efforts Of Five Major Economies," Climate Change Economics (CCE), World Scientific Publishing Co. Pte. Ltd., vol. 4(04), pages 1-24.
    7. Elzen, Michel den & Fekete, Hanna & Höhne, Niklas & Admiraal, Annemiek & Forsell, Nicklas & Hof, Andries F. & Olivier, Jos G.J. & Roelfsema, Mark & van Soest, Heleen, 2016. "Greenhouse gas emissions from current and enhanced policies of China until 2030: Can emissions peak before 2030?," Energy Policy, Elsevier, vol. 89(C), pages 224-236.
    8. Cotterman, Turner, 2019. "Why Rapid and Deep Decarbonization isn’t Simple: Linking Bottom-up Socio-technical Decision-making Insights with Top-down Macroeconomic Analyses," Conference papers 333088, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    9. Flament, Guillaume, 2023. "Impact of the energy transition on long-term factor productivity," Structural Change and Economic Dynamics, Elsevier, vol. 66(C), pages 393-406.
    10. Gupta, Dipti & Ghersi, Frédéric & Vishwanathan, Saritha S. & Garg, Amit, 2019. "Achieving sustainable development in India along low carbon pathways: Macroeconomic assessment," World Development, Elsevier, vol. 123(C), pages 1-1.
    11. Weitzel, Matthias, 2014. "Worse off from reduced cost? The role of policy design under uncertain technological advancement," Kiel Working Papers 1926, Kiel Institute for the World Economy (IfW Kiel).
    12. Zheng, Jiali & Duan, Hongbo & Zhou, Sheng & Wang, Shouyang & Gao, Ji & Jiang, Kejun & Gao, Shuo, 2021. "Limiting global warming to below 1.5 °C from 2 °C: An energy-system-based multi-model analysis for China," Energy Economics, Elsevier, vol. 100(C).
    13. Henrique Oliveira & Víctor Moutinho, 2021. "Renewable Energy, Economic Growth and Economic Development Nexus: A Bibliometric Analysis," Energies, MDPI, vol. 14(15), pages 1-28, July.
    14. Wei Li & Zhijie Jia, 2017. "Carbon tax, emission trading, or the mixed policy: which is the most effective strategy for climate change mitigation in China?," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 22(6), pages 973-992, August.
    15. Lucas, Paul L. & Nielsen, Jens & Calvin, Katherine & L. McCollum, David & Marangoni, Giacomo & Strefler, Jessica & van der Zwaan, Bob C.C. & van Vuuren, Detlef P., 2015. "Future energy system challenges for Africa: Insights from Integrated Assessment Models," Energy Policy, Elsevier, vol. 86(C), pages 705-717.
    16. Pan, Xunzhang & Wang, Lining & Dai, Jiaquan & Zhang, Qi & Peng, Tianduo & Chen, Wenying, 2020. "Analysis of China’s oil and gas consumption under different scenarios toward 2050: An integrated modeling," Energy, Elsevier, vol. 195(C).
    17. Beck, J.-P. & Reinhard, J. & Kamps, K. & Kupka, J. & Derksen, C., 2022. "Model experiments in operational energy system analysis: Power grid focused scenario comparisons," Renewable and Sustainable Energy Reviews, Elsevier, vol. 164(C).
    18. Laha, Priyanka & Chakraborty, Basab, 2021. "Low carbon electricity system for India in 2030 based on multi-objective multi-criteria assessment," Renewable and Sustainable Energy Reviews, Elsevier, vol. 135(C).
    19. Wang, Zhaohua & Zhang, Hongzhi & Li, Hao & Wang, Bo & Cui, Qi & Zhang, Bin, 2022. "Economic impact and energy transformation of different effort-sharing schemes to pursue 2 ℃ warming limit in China," Applied Energy, Elsevier, vol. 320(C).
    20. Shivika Mittal & Jing-Yu Liu & Shinichiro Fujimori & Priyadarshi Ramprasad Shukla, 2018. "An Assessment of Near-to-Mid-Term Economic Impacts and Energy Transitions under “2 °C” and “1.5 °C” Scenarios for India," Energies, MDPI, vol. 11(9), pages 1-17, August.
    21. Wang, Zhenyu & Meng, Jing & Zheng, Heran & Shao, Shuai & Wang, Daoping & Mi, Zhifu & Guan, Dabo, 2018. "Temporal change in India’s imbalance of carbon emissions embodied in international trade," Applied Energy, Elsevier, vol. 231(C), pages 914-925.
    22. Pradhan, Basanta K. & Ghosh, Joydeep, 2019. "Climate policy vs. agricultural productivity shocks in a dynamic computable general equilibrium (CGE) modeling framework: The case of a developing economy," Economic Modelling, Elsevier, vol. 77(C), pages 55-69.
    23. Matthias Weitzel, 2017. "Who gains from technological advancement? The role of policy design when cost development for key abatement technologies is uncertain," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 19(1), pages 151-181, January.
    24. Warner, Kevin J. & Jones, Glenn A., 2017. "A population-induced renewable energy timeline in nine world regions," Energy Policy, Elsevier, vol. 101(C), pages 65-76.
    25. Anasis, John G. & Khalil, Mohammad Aslam Khan & Butenhoff, Christopher & Bluffstone, Randall & Lendaris, George G., 2019. "Optimal energy resource mix for the US and China to meet emissions pledges," Applied Energy, Elsevier, vol. 238(C), pages 92-100.

  139. Ke Wang & Shiwei Yu & Mo-Jie Li & Yi-Ming Wei, 2015. "Multi-directional efficiency analysis-based regional industrial environmental performance evaluation of China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 75(2), pages 273-299, February.
    See citations under working paper version above.
  140. Ju-Liang Jin & Juan Fu & Yi-Ming Wei & Shang-Ming Jiang & Yu-Liang Zhou & Li Liu & You-Zhen Wang & Cheng-Guo Wu, 2015. "Integrated risk assessment method of waterlog disaster in Huaihe River Basin of China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 75(2), pages 155-178, February.

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    1. Jun Chang & Zuotang Yin & Zhendong Zhang & Xiaotong Xu & Min Zhao, 2023. "Multi-Disaster Integrated Risk Assessment in City Range—A Case Study of Jinan, China," IJERPH, MDPI, vol. 20(4), pages 1-17, February.
    2. Adam Pártl & David Vačkář & Blanka Loučková & Eliška Krkoška Lorencová, 2017. "A spatial analysis of integrated risk: vulnerability of ecosystem services provisioning to different hazards in the Czech Republic," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 89(3), pages 1185-1204, December.
    3. Xilin Liu & Huizhu Chen, 2020. "Regional assessment on ecological risk of ecosystems under natural hazards: an application in Guangdong Province (SE China)," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 100(1), pages 205-229, January.
    4. Joanna Wicher-Dysarz & Ewelina Szałkiewicz & Joanna Jaskuła & Tomasz Dysarz & Maksymilian Rybacki, 2020. "Possibilities of Controlling the River Outlets by Weirs on the Example of Noteć Bystra River," Sustainability, MDPI, vol. 12(6), pages 1-20, March.

  141. Wei, Yi-Ming & Mi, Zhi-Fu & Huang, Zhimin, 2015. "Climate policy modeling: An online SCI-E and SSCI based literature review," Omega, Elsevier, vol. 57(PA), pages 70-84.
    See citations under working paper version above.
  142. Bing Wang & Su-Yan Pan & Ruo-Yu Ke & Ke Wang & Yi-Ming Wei, 2015. "Erratum to: An overview of climate change vulnerability: a bibliometric analysis based on Web of Science database," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 75(2), pages 301-301, February.

    Cited by:

    1. Yating Zhao & Jingjing Guo & Chao Bao & Changyong Liang & Hemant K Jain, 2020. "Knowledge Graph Analysis of Human Health Research Related to Climate Change," IJERPH, MDPI, vol. 17(20), pages 1-19, October.

  143. Li, Huanan & Wei, Yi-Ming & Mi, Zhifu, 2015. "China’s carbon flow: 2008–2012," Energy Policy, Elsevier, vol. 80(C), pages 45-53.
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  144. Wang, Ke & Wang, Ya-Xuan & Li, Kang & Wei, Yi-Ming, 2015. "Energy poverty in China: An index based comprehensive evaluation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 47(C), pages 308-323.
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  145. Li, Huanan & Wei, Yi-Ming, 2015. "Is it possible for China to reduce its total CO2 emissions?," Energy, Elsevier, vol. 83(C), pages 438-446.
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  146. Yi-Xuan Gao & Hua Liao & Paul J. Burke & Yi-Ming Wei, 2015. "Road transport energy consumption in the G7 and BRICS: 1973-2010," International Journal of Global Energy Issues, Inderscience Enterprises Ltd, vol. 38(4/5/6), pages 342-356.
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  147. Jing-Li Fan & Bao-Jun Tang & Hao Yu & Yun-Bing Hou & Yi-Ming Wei, 2015. "Impacts of socioeconomic factors on monthly electricity consumption of China’s sectors," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 75(2), pages 2039-2047, January.
    See citations under working paper version above.
  148. Xiao-Chen Yuan & Bao-Jun Tang & Yi-Ming Wei & Xiao-Jie Liang & Hao Yu & Ju-Liang Jin, 2015. "China’s regional drought risk under climate change: a two-stage process assessment approach," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 76(1), pages 667-684, March.

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    1. Kao, Chiang, 2019. "Inefficiency identification for closed series production systems," European Journal of Operational Research, Elsevier, vol. 275(2), pages 599-607.
    2. Hao Wu & Hui Qian & Jie Chen & Chenchen Huo, 2017. "Assessment of Agricultural Drought Vulnerability in the Guanzhong Plain, China," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 31(5), pages 1557-1574, March.
    3. Huili Chen & Zhongyao Liang & Yong Liu & Qingsong Jiang & Shuguang Xie, 2018. "Effects of drought and flood on crop production in China across 1949–2015: spatial heterogeneity analysis with Bayesian hierarchical modeling," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 92(1), pages 525-541, May.

  149. Bangzhu Zhu & Julien Chevallier & Shujiao Ma & Yiming Wei, 2015. "Examining the structural changes of European carbon futures price 2005-2012," Applied Economics Letters, Taylor & Francis Journals, vol. 22(5), pages 335-342, March.

    Cited by:

    1. Mengrui Zhu & Hua Xu & Xingyu Gao & Minggang Wang & André L. M. Vilela & Lixin Tian, 2022. "Identification of Breakpoints in Carbon Market Based on Probability Density Recurrence Network," Energies, MDPI, vol. 15(15), pages 1-18, July.
    2. Zhao, Lili & Wen, Fenghua, 2022. "Risk-return relationship and structural breaks: Evidence from China carbon market," International Review of Economics & Finance, Elsevier, vol. 77(C), pages 481-492.
    3. Bangzhu Zhu & Shujiao Ma & Rui Xie & Julien Chevallier & Yi-Ming Wei, 2018. "Hilbert Spectra and Empirical Mode Decomposition: A Multiscale Event Analysis Method to Detect the Impact of Economic Crises on the European Carbon Market," Post-Print halshs-04250160, HAL.
    4. Anna Creti & Marc Joëts, 2017. "Multiple bubbles in the European Union Emission Trading Scheme," Post-Print hal-01549809, HAL.
    5. Deeney, Peter & Cummins, Mark & Dowling, Michael & Smeaton, Alan F., 2016. "Influences from the European Parliament on EU emissions prices," Energy Policy, Elsevier, vol. 88(C), pages 561-572.
    6. Andreas Karpf & Antoine Mandel & Stefano Battiston, 2018. "Price and network dynamics in the European carbon market," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-01905985, HAL.
    7. Reyer Gerlagh & Roweno J. R. K. Heijmans & Knut Einar Rosendahl, 2020. "COVID-19 Tests the Market Stability Reserve," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 76(4), pages 855-865, August.
    8. Pan, Di & Zhang, Chen & Zhu, Dandan & Ji, Yuanpu & Cao, Wei, 2022. "A novel method of detecting carbon asset price jump characteristics based on significant information shocks," Finance Research Letters, Elsevier, vol. 47(PA).
    9. Tan, Xueping & Sirichand, Kavita & Vivian, Andrew & Wang, Xinyu, 2020. "How connected is the carbon market to energy and financial markets? A systematic analysis of spillovers and dynamics," Energy Economics, Elsevier, vol. 90(C).
    10. Jianfeng Guo & Bin Su & Guang Yang & Lianyong Feng & Yinpeng Liu & Fu Gu, 2018. "How Do Verified Emissions Announcements Affect the Comoves between Trading Behaviors and Carbon Prices? Evidence from EU ETS," Sustainability, MDPI, vol. 10(9), pages 1-17, September.
    11. Friedrich, Marina & Mauer, Eva-Maria & Pahle, Michael & Tietjen, Oliver, 2020. "From fundamentals to financial assets: the evolution of understanding price formation in the EU ETS," EconStor Preprints 225210, ZBW - Leibniz Information Centre for Economics.
    12. Bangzhu Zhu & Ping Wang & Julien Chevallier & Yi‐Ming Wei, 2023. "Enriching the value‐at‐risk framework to ensemble empirical mode decomposition with an application to the European carbon market," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 28(3), pages 2975-2988, July.

  150. Kang Li & Su-Yan Pan & Yi-Ming Wei, 2015. "A bibliometric analysis of energy poverty research: results from SCI-E/SSCI databases," International Journal of Global Energy Issues, Inderscience Enterprises Ltd, vol. 38(4/5/6), pages 357-372.

    Cited by:

    1. Yiming Xiao & Han Wu & Guohua Wang & Hong Mei, 2021. "Mapping the Worldwide Trends on Energy Poverty Research: A Bibliometric Analysis (1999–2019)," IJERPH, MDPI, vol. 18(4), pages 1-22, February.
    2. Minh Ha-Duong & Hoai-Son Nguyen, 2017. "Is electricity affordable and reliable for all in Vietnam?," Post-Print hal-01389981, HAL.
    3. Imran, Muhammad & Haglind, Fredrik & Asim, Muhammad & Zeb Alvi, Jahan, 2018. "Recent research trends in organic Rankine cycle technology: A bibliometric approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P1), pages 552-562.

  151. Jiao, Jian-Ling & Han, Kuang-Yi & Wu, Gang & Li, Lan-Lan & Wei, Yi-Ming, 2014. "The effect of an SPR on the oil price in China: A system dynamics approach," Applied Energy, Elsevier, vol. 133(C), pages 363-373.

    Cited by:

    1. Hong, Taehoon & Jeong, Kwangbok & Koo, Choongwan, 2018. "An optimized gene expression programming model for forecasting the national CO2 emissions in 2030 using the metaheuristic algorithms," Applied Energy, Elsevier, vol. 228(C), pages 808-820.
    2. Armin Leopold, 2016. "Energy related system dynamic models: a literature review," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 24(1), pages 231-261, March.
    3. Kim, Myung Suk, 2018. "Impacts of supply and demand factors on declining oil prices," Energy, Elsevier, vol. 155(C), pages 1059-1065.
    4. Zhao, Lu-Tao & Wang, Yi & Guo, Shi-Qiu & Zeng, Guan-Rong, 2018. "A novel method based on numerical fitting for oil price trend forecasting," Applied Energy, Elsevier, vol. 220(C), pages 154-163.
    5. Qudrat-Ullah, Hassan, 2017. "How to enhance the future use of energy policy simulation models through ex post validation," Energy, Elsevier, vol. 120(C), pages 58-66.
    6. Jia, Shuwei & Liu, Xiaolu & Yan, Guangle, 2019. "Effect of APCF policy on the haze pollution in China: A system dynamics approach," Energy Policy, Elsevier, vol. 125(C), pages 33-44.
    7. Zhihua Chen & Hui Wang & Tongxia Li & Ieongcheng Si, 2021. "Demand for Storage and Import of Natural Gas in China until 2060: Simulation with a Dynamic Model," Sustainability, MDPI, vol. 13(15), pages 1-19, August.
    8. Hendalianpour, Ayad & Liu, Peide & Amirghodsi, Sirous & Hamzehlou, Mohammad, 2022. "Designing a System Dynamics model to simulate criteria affecting oil and gas development contracts," Resources Policy, Elsevier, vol. 78(C).
    9. Tarek Bouazizi & Zouhaier Hadhek & Fatma Mrad & Mosbah Lafi, 2021. "Changes in Demand for Crude Oil and its Correlation with Crude Oil and Stock Market Returns Volatilities: Evidence from Three Asian Oil Importing Countries," International Journal of Energy Economics and Policy, Econjournals, vol. 11(3), pages 27-43.
    10. Pan, Lingying & Liu, Pei & Li, Zheng, 2017. "A system dynamic analysis of China’s oil supply chain: Over-capacity and energy security issues," Applied Energy, Elsevier, vol. 188(C), pages 508-520.

  152. Wang, Bing & Ke, Ruo-Yu & Yuan, Xiao-Chen & Wei, Yi-Ming, 2014. "China׳s regional assessment of renewable energy vulnerability to climate change," Renewable and Sustainable Energy Reviews, Elsevier, vol. 40(C), pages 185-195.
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  153. Wang, Bing & Nistor, Ioan & Murty, Tad & Wei, Yi-Ming, 2014. "Efficiency assessment of hydroelectric power plants in Canada: A multi criteria decision making approach," Energy Economics, Elsevier, vol. 46(C), pages 112-121.
    See citations under working paper version above.
  154. Zhu, Zhi-Shuang & Liao, Hua & Cao, Huai-Shu & Wang, Lu & Wei, Yi-Ming & Yan, Jinyue, 2014. "The differences of carbon intensity reduction rate across 89 countries in recent three decades," Applied Energy, Elsevier, vol. 113(C), pages 808-815.
    See citations under working paper version above.
  155. Jing-Li Fan & Qiao-Mei Liang & Xiao-Jie Liang & Hirokazu Tatano & Yoshio Kajitani & Yi-Ming Wei, 2014. "National vulnerability to extreme climatic events: the cases of electricity disruption in China and Japan," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 71(3), pages 1937-1956, April.
    See citations under working paper version above.
  156. Zhang, Xian & Wang, Xingwei & Chen, Jiajun & Xie, Xi & Wang, Ke & Wei, Yiming, 2014. "A novel modeling based real option approach for CCS investment evaluation under multiple uncertainties," Applied Energy, Elsevier, vol. 113(C), pages 1059-1067.

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    1. Gu, Changwan & Li, Kai & Gao, Shikang & Li, Jiayu & Mao, Yifan, 2024. "CO2 abatement feasibility for blast furnace CCUS retrofits in BF-BOF steel plants in China," Energy, Elsevier, vol. 294(C).
    2. Li, Zezheng & Yu, Pengwei & Xian, Yujiao & Fan, Jing-Li, 2024. "Investment benefit analysis of coal-to-hydrogen coupled CCS technology in China based on real option approach," Energy, Elsevier, vol. 294(C).
    3. Zhang, Qi & Liu, Jiangfeng & Wang, Ge & Gao, Zhihui, 2024. "A new optimization model for carbon capture utilization and storage (CCUS) layout based on high-resolution geological variability," Applied Energy, Elsevier, vol. 363(C).
    4. Work, James & Hauer, Grant & Luckert, M.K. (Marty), 2018. "What ethanol prices would induce growers to switch from agriculture to poplar in Alberta? A multiple options approach," Journal of Forest Economics, Elsevier, vol. 33(C), pages 51-62.
    5. Wang, Xingwei & Cai, Yanpeng & Dai, Chao, 2014. "Evaluating China's biomass power production investment based on a policy benefit real options model," Energy, Elsevier, vol. 73(C), pages 751-761.
    6. Jiaquan Li & Zhifu Mi & Yi-Ming Wei & Jingli Fan & Yang Yang & Yunbing Hou, 2019. "Flexible options to provide energy for capturing carbon dioxide in coal-fired power plants under the Clean Development Mechanism," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 24(8), pages 1483-1505, December.
    7. Hui-Ling Zhou & Bao-Jun Tang & Hong Cao, 2020. "Abandonment Decision-Making of Overseas Oilfield Project Coping with Low Oil Price," Computational Economics, Springer;Society for Computational Economics, vol. 55(4), pages 1171-1184, April.
    8. Fan, Jing-Li & Xu, Mao & Yang, Lin & Zhang, Xian, 2019. "Benefit evaluation of investment in CCS retrofitting of coal-fired power plants and PV power plants in China based on real options," Renewable and Sustainable Energy Reviews, Elsevier, vol. 115(C).
    9. Jia-Yue Huang & Yun-Fei Cao & Hui-Ling Zhou & Hong Cao & Bao-Jun Tang & Nan Wang, 2018. "Optimal Investment Timing and Scale Choice of Overseas Oil Projects: A Real Option Approach," Energies, MDPI, vol. 11(11), pages 1-22, October.
    10. Jian-Lei Mo & Joachim Schleich & Lei Zhu & Ying Fan, 2015. "Delaying the introduction of emissions trading systems—Implications for power plant investment and operation from a multi-stage decision model," Post-Print hal-01265934, HAL.
    11. Lei Zhu & Xin Liu, 2015. "Promoting the Carbon Removal in Coal Utilization-A Benefit-Risk Analysis among Full-Chain Carbon Capture and Utilization Project," Energy & Environment, , vol. 26(6-7), pages 1035-1053, November.
    12. Yang, Lin & Lv, Haodong & Wei, Ning & Li, Yiming & Zhang, Xian, 2023. "Dynamic optimization of carbon capture technology deployment targeting carbon neutrality, cost efficiency and water stress: Evidence from China's electric power sector," Energy Economics, Elsevier, vol. 125(C).
    13. ShahNazari, Mahdi & McHugh, Adam & Maybee, Bryan & Whale, Jonathan, 2014. "The effect of political cycles on power investment decisions: Expectations over the repeal and reinstatement of carbon policy mechanisms in Australia," Applied Energy, Elsevier, vol. 130(C), pages 157-165.
    14. Tan, Zhizhou & Zeng, Xianhai & Lin, Boqiang, 2023. "How do multiple policy incentives influence investors’ decisions on biomass co-firing combined with carbon capture and storage retrofit projects for coal-fired power plants?," Energy, Elsevier, vol. 278(PB).
    15. Dai, C. & Cai, Y.P. & Li, Y.P. & Sun, W. & Wang, X.W. & Guo, H.C., 2014. "Optimal strategies for carbon capture, utilization and storage based on an inexact mλ-measure fuzzy chance-constrained programming," Energy, Elsevier, vol. 78(C), pages 465-478.
    16. Hu, Ya-Han & Tai, Chun-Tien & Liu, Kang Ernest & Cai, Cheng-Fang, 2020. "Identification of highly-cited papers using topic-model-based and bibliometric features: the consideration of keyword popularity," Journal of Informetrics, Elsevier, vol. 14(1).
    17. Yang, Lin & Xu, Mao & Fan, Jingli & Liang, Xi & Zhang, Xian & Lv, Haodong & Wang, Dong, 2021. "Financing coal-fired power plant to demonstrate CCS (carbon capture and storage) through an innovative policy incentive in China," Energy Policy, Elsevier, vol. 158(C).
    18. Lee, Suh-Young & Lee, Jae-Uk & Lee, In-Beum & Han, Jeehoon, 2017. "Design under uncertainty of carbon capture and storage infrastructure considering cost, environmental impact, and preference on risk," Applied Energy, Elsevier, vol. 189(C), pages 725-738.
    19. Fan, Jing-Li & Wei, Shijie & Yang, Lin & Wang, Hang & Zhong, Ping & Zhang, Xian, 2019. "Comparison of the LCOE between coal-fired power plants with CCS and main low-carbon generation technologies: Evidence from China," Energy, Elsevier, vol. 176(C), pages 143-155.
    20. Thomas Aspinall & Adrian Gepp & Geoff Harris & Simone Kelly & Colette Southam & Bruce Vanstone, 2021. "Estimation of a term structure model of carbon prices through state space methods: The European Union emissions trading scheme," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 61(2), pages 3797-3819, June.
    21. Romano, Teresa & Fumagalli, Elena, 2018. "Greening the power generation sector: Understanding the role of uncertainty," Renewable and Sustainable Energy Reviews, Elsevier, vol. 91(C), pages 272-286.
    22. Sinha, Rakesh Kumar & Chaturvedi, Nitin Dutt, 2019. "A review on carbon emission reduction in industries and planning emission limits," Renewable and Sustainable Energy Reviews, Elsevier, vol. 114(C), pages 1-1.
    23. Bo Sun & Jiajia Tao, 2024. "Investment Decisions of CCUS Projects in China Considering the Supply–Demand Relationship of CO 2 from the Industry Symbiosis Perspective," Sustainability, MDPI, vol. 16(12), pages 1-25, June.
    24. Chen, Siyuan & Liu, Jiangfeng & Zhang, Qi & Teng, Fei & McLellan, Benjamin C., 2022. "A critical review on deployment planning and risk analysis of carbon capture, utilization, and storage (CCUS) toward carbon neutrality," Renewable and Sustainable Energy Reviews, Elsevier, vol. 167(C).
    25. Knoope, M.M.J. & Ramírez, A. & Faaij, A.P.C., 2015. "The influence of uncertainty in the development of a CO2 infrastructure network," Applied Energy, Elsevier, vol. 158(C), pages 332-347.
    26. Xiping Wang & Hongdou Zhang, 2018. "Optimal design of carbon tax to stimulate CCS investment in China's coal‐fired power plants: A real options analysis," Greenhouse Gases: Science and Technology, Blackwell Publishing, vol. 8(5), pages 863-875, October.
    27. Lee, Suh-Young & Lee, In-Beum & Han, Jeehoon, 2019. "Design under uncertainty of carbon capture, utilization and storage infrastructure considering profit, environmental impact, and risk preference," Applied Energy, Elsevier, vol. 238(C), pages 34-44.
    28. Chen, Hao & Kang, Jia-Ning & Liao, Hua & Tang, Bao-Jun & Wei, Yi-Ming, 2017. "Costs and potentials of energy conservation in China's coal-fired power industry: A bottom-up approach considering price uncertainties," Energy Policy, Elsevier, vol. 104(C), pages 23-32.
    29. Zhai, Dongsheng & Zhang, Tianrui & Liang, Guoqiang & Liu, Baoliu, 2024. "Quantum carbon finance: Carbon emission rights option pricing and investment decision," Energy Economics, Elsevier, vol. 134(C).
    30. Shahnazari, Mahdi & McHugh, Adam & Maybee, Bryan & Whale, Jonathan, 2014. "Evaluation of power investment decisions under uncertain carbon policy: A case study for converting coal fired steam turbine to combined cycle gas turbine plants in Australia," Applied Energy, Elsevier, vol. 118(C), pages 271-279.
    31. Hao Yu & Yi-Ming Wei & Bao-Jun Tang & Zhifu Mi & Su-Yan Pan, 2017. "Assessment on the research trend of low-carbon energy technology investment: A bibliometric analysis," CEEP-BIT Working Papers 106, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
    32. Zhang, Xinhua & Yang, Hongming & Yu, Qian & Qiu, Jing & Zhang, Yongxi, 2018. "Analysis of carbon-abatement investment for thermal power market in carbon-dispatching mode and policy recommendations," Energy, Elsevier, vol. 149(C), pages 954-966.
    33. Yao, Xing & Zhong, Ping & Zhang, Xian & Zhu, Lei, 2018. "Business model design for the carbon capture utilization and storage (CCUS) project in China," Energy Policy, Elsevier, vol. 121(C), pages 519-533.
    34. Fan, Jing-Li & Xu, Mao & Yang, Lin & Zhang, Xian & Li, Fengyu, 2019. "How can carbon capture utilization and storage be incentivized in China? A perspective based on the 45Q tax credit provisions," Energy Policy, Elsevier, vol. 132(C), pages 1229-1240.
    35. Zhang, Xinhua & Gan, Dongmei & Wang, Yali & Liu, Yu & Ge, Jiali & Xie, Rui, 2020. "The impact of price and revenue floors on carbon emission reduction investment by coal-fired power plants," Technological Forecasting and Social Change, Elsevier, vol. 154(C).
    36. Xiping Wang & Shaoyuan Qie, 2018. "Study on the investment timing of carbon capture and storage under different business modes," Greenhouse Gases: Science and Technology, Blackwell Publishing, vol. 8(4), pages 639-649, August.
    37. Yang, Lin & Zhang, Xian & McAlinden, Karl J., 2016. "The effect of trust on people's acceptance of CCS (carbon capture and storage) technologies: Evidence from a survey in the People's Republic of China," Energy, Elsevier, vol. 96(C), pages 69-79.
    38. Xizhe Yan & Dan Tong & Yixuan Zheng & Yang Liu & Shaoqing Chen & Xinying Qin & Chuchu Chen & Ruochong Xu & Jing Cheng & Qinren Shi & Dongsheng Zheng & Kebin He & Qiang Zhang & Yu Lei, 2024. "Cost-effectiveness uncertainty may bias the decision of coal power transitions in China," Nature Communications, Nature, vol. 15(1), pages 1-12, December.
    39. Herui Cui & Tian Zhao & Ruirui Wu, 2018. "An Investment Feasibility Analysis of CCS Retrofit Based on a Two-Stage Compound Real Options Model," Energies, MDPI, vol. 11(7), pages 1-19, July.
    40. Fan, Jing-Li & Xu, Mao & Li, Fengyu & Yang, Lin & Zhang, Xian, 2018. "Carbon capture and storage (CCS) retrofit potential of coal-fired power plants in China: The technology lock-in and cost optimization perspective," Applied Energy, Elsevier, vol. 229(C), pages 326-334.
    41. Fan, Jing-Li & Shen, Shuo & Wei, Shi-Jie & Xu, Mao & Zhang, Xian, 2020. "Near-term CO2 storage potential for coal-fired power plants in China: A county-level source-sink matching assessment," Applied Energy, Elsevier, vol. 279(C).
    42. Fan, Jing-Li & Li, Zezheng & Li, Kai & Zhang, Xian, 2022. "Modelling plant-level abatement costs and effects of incentive policies for coal-fired power generation retrofitted with CCUS," Energy Policy, Elsevier, vol. 165(C).
    43. Lamberts-Van Assche, Hanne & Lavrutich, Maria & Compernolle, Tine & Thomassen, Gwenny & Thijssen, Jacco J.J. & Kort, Peter M., 2023. "CO2 storage or utilization? A real options analysis under market and technological uncertainty," Journal of Environmental Economics and Management, Elsevier, vol. 122(C).
    44. Chen, Siyuan & Zhang, Qi & Wang, Ge & Zhu, Lijing & Li, Yan, 2018. "Investment strategy for underground gas storage facilities based on real option model considering gas market reform in China," Energy Economics, Elsevier, vol. 70(C), pages 132-142.
    45. Fan, Jing-Li & Li, Zezheng & Ding, Zixia & Li, Kai & Zhang, Xian, 2023. "Investment decisions on carbon capture utilization and storage retrofit of Chinese coal-fired power plants based on real option and source-sink matching models," Energy Economics, Elsevier, vol. 126(C).
    46. Hanne Lamberts-Van Assche & Tine Compernolle, 2022. "Using Real Options Thinking to Value Investment Flexibility in Carbon Capture and Utilization Projects: A Review," Sustainability, MDPI, vol. 14(4), pages 1-24, February.
    47. Mingming Zhang & Dequn Zhou & Hao Ding & Jingliang Jin, 2016. "Biomass Power Generation Investment in China: A Real Options Evaluation," Sustainability, MDPI, vol. 8(6), pages 1-22, June.
    48. Anderson, Jeffrey J. & Rode, David & Zhai, Haibo & Fischbeck, Paul, 2021. "Transitioning to a carbon-constrained world: Reductions in coal-fired power plant emissions through unit-specific, least-cost mitigation frontiers," Applied Energy, Elsevier, vol. 288(C).
    49. Jiaquan Li & Yunbing Hou & Pengtao Wang & Bo Yang, 2018. "A Review of Carbon Capture and Storage Project Investment and Operational Decision-Making Based on Bibliometrics," Energies, MDPI, vol. 12(1), pages 1-22, December.
    50. Tian Zhao & Zhixin Liu, 2023. "Investment Timing Analysis of Hydrogen-Refueling Stations and the Case of China: Independent or Co-Operative Investment?," Energies, MDPI, vol. 16(13), pages 1-17, June.
    51. Park, Taeil & Kim, Changyoon & Kim, Hyoungkwan, 2014. "A real option-based model to valuate CDM projects under uncertain energy policies for emission trading," Applied Energy, Elsevier, vol. 131(C), pages 288-296.
    52. Tang, Bao-Jun & Zhou, Hui-Ling & Chen, Hao & Wang, Kai & Cao, Hong, 2017. "Investment opportunity in China's overseas oil project: An empirical analysis based on real option approach," Energy Policy, Elsevier, vol. 105(C), pages 17-26.
    53. Chu, Baoju & Lin, Boqiang & Tian, Lichun & Zheng, Chaofeng & Ye, Nan & Zhu, Yafang & Tan, Zhizhou, 2024. "A long-term impact assessment of carbon capture (storage) investment conducted by conventional power company on sustainable development," Applied Energy, Elsevier, vol. 358(C).
    54. Xiping Wang & Hongdou Zhang, 2018. "Valuation of CCS investment in China's coal‐fired power plants based on a compound real options model," Greenhouse Gases: Science and Technology, Blackwell Publishing, vol. 8(5), pages 978-988, October.
    55. Jin, S.W. & Li, Y.P. & Nie, S. & Sun, J., 2017. "The potential role of carbon capture and storage technology in sustainable electric-power systems under multiple uncertainties," Renewable and Sustainable Energy Reviews, Elsevier, vol. 80(C), pages 467-480.
    56. Lei Zhu & Xing Yao & Xian Zhang, 2020. "Evaluation of cooperative mitigation: captured carbon dioxide for enhanced oil recovery," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 25(7), pages 1261-1285, October.
    57. Chen, Zheng-Ao & Li, Qi & Liu, Lan-Cui & Zhang, Xian & Kuang, Liping & Jia, Li & Liu, Guizhen, 2015. "A large national survey of public perceptions of CCS technology in China," Applied Energy, Elsevier, vol. 158(C), pages 366-377.
    58. Lin, Boqiang & Liu, Zhiwei, 2024. "Assessment of China's flexible power investment value in the emission trading system," Applied Energy, Elsevier, vol. 359(C).

  157. Yu, Shiwei & Wei, Yi-Ming & Guo, Haixiang & Ding, Liping, 2014. "Carbon emission coefficient measurement of the coal-to-power energy chain in China," Applied Energy, Elsevier, vol. 114(C), pages 290-300.
    See citations under working paper version above.
  158. Yu, Shiwei & Wei, Yi-Ming & Wang, Ke, 2014. "Provincial allocation of carbon emission reduction targets in China: An approach based on improved fuzzy cluster and Shapley value decomposition," Energy Policy, Elsevier, vol. 66(C), pages 630-644.
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  159. Leung, Guy C.K. & Cherp, Aleh & Jewell, Jessica & Wei, Yi-Ming, 2014. "Securitization of energy supply chains in China," Applied Energy, Elsevier, vol. 123(C), pages 316-326.

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    1. Zaman, Rafia & Brudermann, Thomas, 2018. "Energy governance in the context of energy service security: A qualitative assessment of the electricity system in Bangladesh," Applied Energy, Elsevier, vol. 223(C), pages 443-456.
    2. Cherp, Aleh & Vinichenko, Vadim & Jewell, Jessica & Suzuki, Masahiro & Antal, Miklós, 2017. "Comparing electricity transitions: A historical analysis of nuclear, wind and solar power in Germany and Japan," Energy Policy, Elsevier, vol. 101(C), pages 612-628.
    3. Wang, Chen & Engels, Anita & Wang, Zhaohua, 2018. "Overview of research on China's transition to low-carbon development: The role of cities, technologies, industries and the energy system," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P1), pages 1350-1364.
    4. Bauer, Nico & Hilaire, Jérôme & Brecha, Robert J. & Edmonds, Jae & Jiang, Kejun & Kriegler, Elmar & Rogner, Hans-Holger & Sferra, Fabio, 2016. "Assessing global fossil fuel availability in a scenario framework," Energy, Elsevier, vol. 111(C), pages 580-592.
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    2. Yiming Xiao & Han Wu & Guohua Wang & Hong Mei, 2021. "Mapping the Worldwide Trends on Energy Poverty Research: A Bibliometric Analysis (1999–2019)," IJERPH, MDPI, vol. 18(4), pages 1-22, February.
    3. Spandagos, Constantine & Tovar Reaños, Miguel & Lynch, Muireann Á, 2023. "Energy poverty prediction and effective targeting for just transitions with machine learning," Papers WP762, Economic and Social Research Institute (ESRI).
    4. Hasheminasab, Hamidreza & Streimikiene, Dalia & Pishahang, Mohammad, 2023. "A novel energy poverty evaluation: Study of the European Union countries," Energy, Elsevier, vol. 264(C).
    5. Gu, Jiafeng, 2023. "Energy poverty and government subsidies in China," Energy Policy, Elsevier, vol. 180(C).
    6. Esperanza Vera‐Toscano & Heather Brown, 2022. "Empirical Evidence on the Incidence and Persistence of Energy Poverty in Australia," Australian Economic Review, The University of Melbourne, Melbourne Institute of Applied Economic and Social Research, vol. 55(4), pages 515-529, December.
    7. Scarpellini, Sabina & Sanz Hernández, M. Alexia & Llera-Sastresa, Eva & Aranda, Juan A. & López Rodríguez, María Esther, 2017. "The mediating role of social workers in the implementation of regional policies targeting energy poverty," Energy Policy, Elsevier, vol. 106(C), pages 367-375.
    8. Nie, Peng & Li, Qiaoge & Sousa-Poza, Alfonso, 2021. "Energy poverty and subjective well-being in China: New evidence from the China Family Panel Studies," Energy Economics, Elsevier, vol. 103(C).
    9. Tongsopit, Sopitsuda & Kittner, Noah & Chang, Youngho & Aksornkij, Apinya & Wangjiraniran, Weerin, 2016. "Energy security in ASEAN: A quantitative approach for sustainable energy policy," Energy Policy, Elsevier, vol. 90(C), pages 60-72.
    10. Paul Simshauser, 2022. "The 2022 energy crisis: horizontal and vertical impacts of policy interventions in Australia's national electricity market," Working Papers EPRG2216, Energy Policy Research Group, Cambridge Judge Business School, University of Cambridge.
    11. Scarpellini, Sabina & Alexia Sanz Hernández, M. & Moneva, José M. & Portillo-Tarragona, Pilar & Rodríguez, María Esther López, 2019. "Measurement of spatial socioeconomic impact of energy poverty," Energy Policy, Elsevier, vol. 124(C), pages 320-331.
    12. Riccardo Camboni & Alberto Corsini & Raffaele Miniaci & Paola Valbonesi, 2020. "Mapping fuel poverty risk at the municipal level: A Small-Scale Analysis of Italian Energy Performance Certificate, Census and Survey data," "Marco Fanno" Working Papers 0252, Dipartimento di Scienze Economiche "Marco Fanno".
    13. Amin Nazarahari & Nader Ghotbi & Koji Tokimatsu, 2021. "Energy Poverty among College Students in Japan in a Survey of Students’ Knowledge, Attitude and Practices towards Energy Use," Sustainability, MDPI, vol. 13(15), pages 1-17, July.
    14. Bing Wang & Hua-Nan Li & Xiao-Chen Yuan & Zhen-Ming Sun, 2017. "Energy Poverty in China: A Dynamic Analysis Based on a Hybrid Panel Data Decision Model," Energies, MDPI, vol. 10(12), pages 1-14, November.
    15. Núñez-Sánchez, Ramón & Otoya-Chavarría, Marco & Soberón, Alexandra, 2024. "Price and budget elasticities under utility poverty policies in Spain," Utilities Policy, Elsevier, vol. 88(C).
    16. Rafał Nagaj, 2022. "Macroeconomic Policy versus Fuel Poverty in Poland—Support or Barrier," Energies, MDPI, vol. 15(13), pages 1-22, June.
    17. Nguyen, Canh Phuc & Nasir, Muhammad Ali, 2021. "An inquiry into the nexus between energy poverty and income inequality in the light of global evidence," Energy Economics, Elsevier, vol. 99(C).
    18. Pan, Lei & Biru, Ashenafi & Lettu, Sandra, 2021. "Energy poverty and public health: Global evidence," Energy Economics, Elsevier, vol. 101(C).
    19. Gómez-Navarro, Tomás & Calero-Pastor, María & Pellicer-Sifres, Victoria & Lillo-Rodrigo, Pau & Alfonso-Solar, David & Pérez-Navarro, Ángel, 2021. "Fuel poverty map of Valencia (Spain): Results of a direct survey to citizens and recommendations for policy making," Energy Policy, Elsevier, vol. 151(C).
    20. Xie, Lunyu & Hu, Xian & Zhang, Xinyi & Zhang, Xiao-Bing, 2022. "Who suffers from energy poverty in household energy transition? Evidence from clean heating program in rural China," Energy Economics, Elsevier, vol. 106(C).
    21. Scarpellini, Sabina & Rivera-Torres, Pilar & Suárez-Perales, Inés & Aranda-Usón, Alfonso, 2015. "Analysis of energy poverty intensity from the perspective of the regional administration: Empirical evidence from households in southern Europe," Energy Policy, Elsevier, vol. 86(C), pages 729-738.
    22. Graff, Michelle & Pirog, Maureen, 2019. "Red tape is not so hot: Asset tests impact participation in the Low-Income Home Energy Assistance Program," Energy Policy, Elsevier, vol. 129(C), pages 749-764.
    23. Abbas, Khizar & Li, Shixiang & Xu, Deyi & Baz, Khan & Rakhmetova, Aigerim, 2020. "Do socioeconomic factors determine household multidimensional energy poverty? Empirical evidence from South Asia," Energy Policy, Elsevier, vol. 146(C).
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    27. Yan, Hong & Yi, Xing & Jiang, Jiachen & Bai, Caiquan, 2024. "Can information technology construction alleviate household energy poverty? Empirical evidence from the “broadband China” Pilot Policy," Energy Policy, Elsevier, vol. 185(C).
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    29. Heather Brown & Esperanza Vera-Toscano, 2021. "Energy poverty and its relationship with health: empirical evidence on the dynamics of energy poverty and poor health in Australia," SN Business & Economics, Springer, vol. 1(10), pages 1-34, October.
    30. Sowoo Park & Joowook Kim & Doosam Song, 2019. "The Effect of an Energy Refurbishment Scheme on Adequate Warmth in Low-income Dwellings," Sustainability, MDPI, vol. 11(9), pages 1-13, May.
    31. Okushima, Shinichiro, 2016. "Measuring energy poverty in Japan, 2004–2013," Energy Policy, Elsevier, vol. 98(C), pages 557-564.
    32. Romero, José Carlos & Linares, Pedro & López, Xiral, 2018. "The policy implications of energy poverty indicators," Energy Policy, Elsevier, vol. 115(C), pages 98-108.
    33. Farrell, Lisa & Fry, Jane M., 2021. "Australia's gambling epidemic and energy poverty," Energy Economics, Elsevier, vol. 97(C).
    34. Yin, Zhichao & Wang, Rui & Wu, Xi, 2023. "Financial inclusion, natural disasters and energy poverty: Evidence from China," Energy Economics, Elsevier, vol. 126(C).
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    36. Simshauser, Paul, 2023. "The 2022 energy crisis: Fuel poverty and the impact of policy interventions in Australia's National Electricity Market," Energy Economics, Elsevier, vol. 121(C).
    37. Castaño-Rosa, Raúl & Okushima, Shinichiro, 2021. "Prevalence of energy poverty in Japan: A comprehensive analysis of energy poverty vulnerabilities," Renewable and Sustainable Energy Reviews, Elsevier, vol. 145(C).
    38. Liu, Pihui & Han, Chuanfeng & Teng, Minmin, 2022. "Does clean cooking energy improve mental health? Evidence from China," Energy Policy, Elsevier, vol. 166(C).
    39. Judit Mendoza Aguilar & Francisco J. Ramos-Real & Alfredo J. Ramírez-Díaz, 2019. "Improving Indicators for Comparing Energy Poverty in the Canary Islands and Spain," Energies, MDPI, vol. 12(11), pages 1-15, June.
    40. Keran Sarah Boyd & Christian Calvillo & Tanja Mueller & Xiaoyi Mu & Tong Zhu, 2023. "The Intersection of Fuel and Transport Policy in Scotland: A Review of Policy, Definitions and Metrics," Energies, MDPI, vol. 16(13), pages 1-14, June.
    41. Muhammad Shafiullah & Zhilun Jiao & Muhammad Shahbaz & Kangyin Dong, 2023. "Examining energy poverty in Chinese households: An Engel curve approach," Australian Economic Papers, Wiley Blackwell, vol. 62(1), pages 149-184, March.
    42. Best, Rohan & Hammerle, Mara & Mukhopadhaya, Pundarik & Silber, Jacques, 2021. "Targeting household energy assistance," Energy Economics, Elsevier, vol. 99(C).
    43. Spandagos, Constantine & Tovar Reaños, Miguel Angel & Lynch, Muireann Á., 2023. "Energy poverty prediction and effective targeting for just transitions with machine learning," Energy Economics, Elsevier, vol. 128(C).
    44. Lowans, Christopher & Furszyfer Del Rio, Dylan & Sovacool, Benjamin K. & Rooney, David & Foley, Aoife M., 2021. "What is the state of the art in energy and transport poverty metrics? A critical and comprehensive review," Energy Economics, Elsevier, vol. 101(C).
    45. Zaman, Qamar uz & Zhao, Yuhuan & Zaman, Shah & Alenezi, Marim & Jehan, Noor, 2023. "Spatial evaluation of multidimensional energy poverty between farming and non-farming communities of agro-climatic zones of Pakistan," Energy Policy, Elsevier, vol. 172(C).
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    47. Uche M. Ozughalu & Fidelis O. Ogwumike, 2019. "Extreme Energy Poverty Incidence and Determinants in Nigeria: A Multidimensional Approach," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 142(3), pages 997-1014, April.
    48. Zhang, Dayong & Li, Jiajia & Han, Phoumin, 2019. "A multidimensional measure of energy poverty in China and its impacts on health: An empirical study based on the China family panel studies," Energy Policy, Elsevier, vol. 131(C), pages 72-81.
    49. Kamp, Linda M. & Vanheule, Lynn F.I., 2015. "Review of the small wind turbine sector in Kenya: Status and bottlenecks for growth," Renewable and Sustainable Energy Reviews, Elsevier, vol. 49(C), pages 470-480.
    50. Omar, Md Abdullah & Hasanujzaman, Muhammad, 2021. "Multidimensional energy poverty in Bangladesh and its effect on health and education: A multilevel analysis based on household survey data," Energy Policy, Elsevier, vol. 158(C).
    51. Reames, Tony Gerard, 2016. "Targeting energy justice: Exploring spatial, racial/ethnic and socioeconomic disparities in urban residential heating energy efficiency," Energy Policy, Elsevier, vol. 97(C), pages 549-558.
    52. Grdenić, Goran & Delimar, Marko & Robić, Slavica, 2020. "Framing the context of energy poverty in Croatia: A case-study from Zagreb," Energy Policy, Elsevier, vol. 147(C).
    53. Boqiang Lin & Kai Wei, 2022. "Does Use of Solid Cooking Fuels Increase Family Medical Expenses in China?," IJERPH, MDPI, vol. 19(3), pages 1-17, January.
    54. Yonghua Zhang & Xue Wang & Shenwei Wan & Hongge Zhu, 2023. "Fuzzy Set Qualitative Comparative Analysis of the Factors Affecting Satisfaction with the Policy of Ecological Forest Rangers," Sustainability, MDPI, vol. 15(8), pages 1-18, April.
    55. Giorgio Besagni & Marco Borgarello, 2019. "Measuring Fuel Poverty in Italy: A Comparison between Different Indicators," Sustainability, MDPI, vol. 11(10), pages 1-15, May.
    56. Pedro I. Brandão & João C. G. Lanzinha, 2021. "Thermal Comfort Assessment during Winter Season: A Case Study on Portuguese Public Social Housing," Energies, MDPI, vol. 14(19), pages 1-25, September.
    57. Adusah-Poku, Frank & Takeuchi, Kenji, 2019. "Energy poverty in Ghana: Any progress so far?," Renewable and Sustainable Energy Reviews, Elsevier, vol. 112(C), pages 853-864.
    58. Tamer Emre & Adnan Sozen, 2022. "Energy Poverty Clustering by Using Power-cut Job Order Data of the Electricity Distribution Companies," International Journal of Energy Economics and Policy, Econjournals, vol. 12(3), pages 401-409, May.
    59. Wang, Ke & Wang, Ya-Xuan & Li, Kang & Wei, Yi-Ming, 2015. "Energy poverty in China: An index based comprehensive evaluation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 47(C), pages 308-323.
    60. Mohr, Tanga McDaniel, 2018. "Fuel poverty in the US: Evidence using the 2009 Residential Energy Consumption Survey," Energy Economics, Elsevier, vol. 74(C), pages 360-369.
    61. Eva Llera-Sastresa & Sabina Scarpellini & Pilar Rivera-Torres & Juan Aranda & Ignacio Zabalza-Bribián & Alfonso Aranda-Usón, 2017. "Energy Vulnerability Composite Index in Social Housing, from a Household Energy Poverty Perspective," Sustainability, MDPI, vol. 9(5), pages 1-20, April.
    62. Simpson, Nicholas Philip & Rabenold, Colton James & Sowman, Merle & Shearing, Clifford D., 2021. "Adoption rationales and effects of off-grid renewable energy access for African youth: A case study from Tanzania," Renewable and Sustainable Energy Reviews, Elsevier, vol. 141(C).
    63. Işıl Şirin SELÇUK & Ali Gökhan GÖLÇEK & Altuğ Murat KÖKTAŞ, 2019. "Energy Poverty in Turkey," Sosyoekonomi Journal, Sosyoekonomi Society, issue 27(42).
    64. Husnain, Muhammad Iftikhar ul & Nasrullah, Nasrullah & Khan, Muhammad Aamir & Banerjee, Suvajit, 2021. "Scrutiny of income related drivers of energy poverty: A global perspective," Energy Policy, Elsevier, vol. 157(C).
    65. Cadaval, María & Regueiro-Ferreira, Rosa Ma & Calvo, Santiago, 2022. "The role of the public sector in the mitigation of fuel poverty in Spain (2008–2019): Modeling the contribution of the BonoSocial deElectricidad," Energy, Elsevier, vol. 258(C).
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  165. Wang, Ce & Liao, Hua & Pan, Su-Yan & Zhao, Lu-Tao & Wei, Yi-Ming, 2014. "The fluctuations of China’s energy intensity: Biased technical change," Applied Energy, Elsevier, vol. 135(C), pages 407-414.
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  166. Wei, Yi-Ming & Wang, Lu & Liao, Hua & Wang, Ke & Murty, Tad & Yan, Jinyue, 2014. "Responsibility accounting in carbon allocation: A global perspective," Applied Energy, Elsevier, vol. 130(C), pages 122-133.

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    2. Qinliang Tan & Jin Zheng & Yihong Ding & Yimei Zhang, 2020. "Provincial Carbon Emission Quota Allocation Study in China from the Perspective of Abatement Cost and Regional Cooperation," Sustainability, MDPI, vol. 12(20), pages 1-20, October.
    3. Xuankai Deng & Yanhua Yu & Yanfang Liu, 2015. "Temporal and Spatial Variations in Provincial CO 2 Emissions in China from 2005 to 2015 and Assessment of a Reduction Plan," Energies, MDPI, vol. 8(5), pages 1-23, May.
    4. Zhou, P. & Wang, M., 2016. "Carbon dioxide emissions allocation: A review," Ecological Economics, Elsevier, vol. 125(C), pages 47-59.
    5. Zhang, Lulu & Yu, Chang & Cheng, Baodong & Yang, Chao & Chang, Yuan, 2020. "Mitigating climate change by global timber carbon stock: Accounting, flow and allocation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 131(C).
    6. Jin, Gui & Shi, Xin & Zhang, Lei & Hu, Shougeng, 2020. "Measuring the SCCs of different Chinese regions under future scenarios," Renewable and Sustainable Energy Reviews, Elsevier, vol. 130(C).
    7. Wang Lu & Hao Yu & Wei Yi-Ming, 2017. "How Do Regional Interactions in Space Affect China’s Mitigation Targets and Economic Development?," MITP: Mitigation, Innovation and Transformation Pathways 257876, Fondazione Eni Enrico Mattei (FEEM).
    8. Wang, Lu & Wei, Yi-Ming & Brown, Marilyn A., 2017. "Global transition to low-carbon electricity: A bibliometric analysis," Applied Energy, Elsevier, vol. 205(C), pages 57-68.
    9. Chiu-Ming Hsiao, 2022. "Economic Growth, CO 2 Emissions Quota and Optimal Allocation under Uncertainty," Sustainability, MDPI, vol. 14(14), pages 1-26, July.
    10. Wang, Enci & Su, Bin & Zhong, Sheng & Guo, Qinxin, 2022. "China's Embodied SO2 Emissions and Aggregate Embodied SO2 Intensities in Interprovincial and International Trade," Technological Forecasting and Social Change, Elsevier, vol. 177(C).
    11. Miao, Zhuang & Chen, Xiaodong & Baležentis, Tomas & Sun, Chuanwang, 2019. "Atmospheric environmental productivity across the provinces of China: Joint decomposition of range adjusted measure and Luenberger productivity indicator," Energy Policy, Elsevier, vol. 132(C), pages 665-677.
    12. Yi-Ming Wei & Rong Han & Qiao-Mei Liang & Bi-Ying Yu & Yun-Fei Yao & Mei-Mei Xue & Kun Zhang & Li-Jing Liu & Juan Peng & Pu Yang & Zhi-Fu Mi & Yun-Fei Du & Ce Wang & Jun-Jie Chang & Qian-Ru Yang & Zil, 2018. "An integrated assessment of INDCs under Shared Socioeconomic Pathways: an implementation of C3IAM," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 92(2), pages 585-618, June.
    13. Boya Zhang & Shukuan Bai & Yadong Ning & Tao Ding & Yan Zhang, 2020. "Emission Embodied in International Trade and Its Responsibility from the Perspective of Global Value Chain: Progress, Trends, and Challenges," Sustainability, MDPI, vol. 12(8), pages 1-26, April.
    14. Minxing Jiang & Bangzhu Zhu & Julien Chevallier & Rui Xie, 2018. "Allocating provincial CO2 quotas for the Chinese national carbon program," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 62(3), pages 457-479, July.
    15. Zhifu Mi & Hua Liao & D’Maris Coffman & Yi-Ming Wei, 2019. "Assessment of equity principles for international climate policy based on an integrated assessment model," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 95(1), pages 309-323, January.
    16. Ji, Xiang & Li, Guo & Wang, Zhaohua, 2017. "Allocation of emission permits for China’s power plants: A systemic Pareto optimal method," Applied Energy, Elsevier, vol. 204(C), pages 607-619.
    17. Ziheng Niu & Jianliang Xiong & Xuesong Ding & Yao Wu, 2022. "Analysis of China’s Carbon Peak Achievement in 2025," Energies, MDPI, vol. 15(14), pages 1-18, July.
    18. Yang, Lisha & Li, Yutianhao & Liu, Hongxun, 2021. "Did carbon trade improve green production performance? Evidence from China," Energy Economics, Elsevier, vol. 96(C).
    19. Jiasen Sun & Guo Li, 2020. "Designing a double auction mechanism for the re-allocation of emission permits," Annals of Operations Research, Springer, vol. 291(1), pages 847-874, August.
    20. Jayaraman, Raja & Colapinto, Cinzia & La Torre, Davide & Malik, Tufail, 2017. "A Weighted Goal Programming model for planning sustainable development applied to Gulf Cooperation Council Countries," Applied Energy, Elsevier, vol. 185(P2), pages 1931-1939.
    21. Shu Su & Jingyi Ju & Yujie Ding & Jingfeng Yuan & Peng Cui, 2022. "A Comprehensive Dynamic Life Cycle Assessment Model: Considering Temporally and Spatially Dependent Variations," IJERPH, MDPI, vol. 19(21), pages 1-18, October.
    22. Li, Huanan & Wei, Yi-Ming, 2015. "Is it possible for China to reduce its total CO2 emissions?," Energy, Elsevier, vol. 83(C), pages 438-446.
    23. Liu, Yajie & Dong, Feng & Li, Guoqing & Pan, Yuling & Qin, Chang & Yang, Shanshan & Li, Jingyun, 2023. "Exploring the factors influencing public support willingness for banning gasoline vehicle sales policy: A grounded theory approach," Energy, Elsevier, vol. 283(C).
    24. Chen, Lei & Xu, Linyu & Yang, Zhifeng, 2019. "Inequality of industrial carbon emissions of the urban agglomeration and its peripheral cities: A case in the Pearl River Delta, China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 109(C), pages 438-447.
    25. Huiqin Jiang & Xinxiao Shao & Xiao Zhang & Jianqiang Bao, 2017. "A Study of the Allocation of Carbon Emission Permits among the Provinces of China Based on Fairness and Efficiency," Sustainability, MDPI, vol. 9(11), pages 1-17, November.
    26. Fan, Xiaojia & Wu, Sanmang & Li, Shantong, 2019. "Spatial-temporal analysis of carbon emissions embodied in interprovincial trade and optimization strategies: A case study of Hebei, China," Energy, Elsevier, vol. 185(C), pages 1235-1249.
    27. Fang Wan & Jizu Li, 2023. "Responsibility Allocation of Provincial Industry Emission Reduction from the Perspective of Industrial Linkages—A Case Study of Shanxi Province," Sustainability, MDPI, vol. 15(12), pages 1-14, June.
    28. Shi, Wei & Li, Wei & Qiao, Fuwei & Wang, Weijuan & An, Yi & Zhang, Guowei, 2023. "An inter-provincial carbon quota study in China based on the contribution of clean energy to carbon reduction," Energy Policy, Elsevier, vol. 182(C).
    29. Han, Rong & Yu, Bi-Ying & Tang, Bao-Jun & Liao, Hua & Wei, Yi-Ming, 2017. "Carbon emissions quotas in the Chinese road transport sector: A carbon trading perspective," Energy Policy, Elsevier, vol. 106(C), pages 298-309.
    30. Shi, Kaifang & Chen, Yun & Yu, Bailang & Xu, Tingbao & Chen, Zuoqi & Liu, Rui & Li, Linyi & Wu, Jianping, 2016. "Modeling spatiotemporal CO2 (carbon dioxide) emission dynamics in China from DMSP-OLS nighttime stable light data using panel data analysis," Applied Energy, Elsevier, vol. 168(C), pages 523-533.
    31. Yu-Jie Hu & Rong Han & Bao-Jun Tang, 2017. "Research on the initial allocation of carbon emission quotas: evidence from China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 85(2), pages 1189-1208, January.
    32. Zhou, Kaile & Yang, Shanlin & Shao, Zhen, 2016. "Energy Internet: The business perspective," Applied Energy, Elsevier, vol. 178(C), pages 212-222.
    33. Qianting Zhu & Wenwu Tang, 2017. "Regional-Level Carbon Allocation in China Based on Sectoral Emission Patterns under the Peak Commitment," Sustainability, MDPI, vol. 9(4), pages 1-18, April.
    34. Jianguo Zhou & Yushuo Li & Xuejing Huo & Xiaolei Xu, 2019. "How to Allocate Carbon Emission Permits Among China’s Industrial Sectors Under the Constraint of Carbon Intensity?," Sustainability, MDPI, vol. 11(3), pages 1-21, February.
    35. Xuemei Jiang & Quanrun Chen & Cuihong Yang, 2018. "A Comparison Of Producer, Consumer And Shared Responsibility Based On A New Inter-Country Input–Output Table Capturing Trade Heterogeneity," The Singapore Economic Review (SER), World Scientific Publishing Co. Pte. Ltd., vol. 63(02), pages 295-311, March.

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    2. Juana Moiwo & Fulu Tao, 2014. "Evidence of Land-use Controlled Water Storage Depletion in Hai River Basin, North China," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(13), pages 4733-4746, October.
    3. Mehri Abdi-Dehkordi & Omid Bozorg-Haddad & Abdolrahim Salavitabar & Erfan Goharian, 2021. "Developing a sustainability assessment framework for integrated management of water resources systems using distributed zoning and system dynamics approaches," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(11), pages 16246-16282, November.
    4. Lisa Huber & Nico Bahro & Georg Leitinger & Ulrike Tappeiner & Ulrich Strasser, 2019. "Agent-Based Modelling of a Coupled Water Demand and Supply System at the Catchment Scale," Sustainability, MDPI, vol. 11(21), pages 1-15, November.
    5. Joseph Bakarji & Daniel O’Malley & Velimir V. Vesselinov, 2017. "Agent-Based Socio-Hydrological Hybrid Modeling for Water Resource Management," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 31(12), pages 3881-3898, September.

  168. Hao Yu & Bing Wang & Yue-Jun Zhang & Shouyang Wang & Yi-Ming Wei, 2013. "Public perception of climate change in China: results from the questionnaire survey," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 69(1), pages 459-472, October.
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  169. Zhang, Xian & Wang, Ke & Hao, Yu & Fan, Jing-Li & Wei, Yi-Ming, 2013. "The impact of government policy on preference for NEVs: The evidence from China," Energy Policy, Elsevier, vol. 61(C), pages 382-393.
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  170. Xiao-Chen Yuan & Yu-Liang Zhou & Ju-Liang Jin & Yi-Ming Wei, 2013. "Risk analysis for drought hazard in China: a case study in Huaibei Plain," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 67(2), pages 879-900, June.

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    2. Jianjun Jin & Wenyu Wang & Xiaomin Wang, 2016. "Adapting agriculture to the drought hazard in rural China: household strategies and determinants," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 82(3), pages 1609-1619, July.

  171. Zhu, Bangzhu & Wei, Yiming, 2013. "Carbon price forecasting with a novel hybrid ARIMA and least squares support vector machines methodology," Omega, Elsevier, vol. 41(3), pages 517-524.

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    2. Jichang Dong & Wei Dai & Ying Liu & Lean Yu & Jie Wang, 2019. "Forecasting Chinese Stock Market Prices using Baidu Search Index with a Learning-Based Data Collection Method," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 18(05), pages 1605-1629, September.
    3. Wang, Delu & Wang, Yadong & Song, Xuefeng & Liu, Yun, 2018. "Coal overcapacity in China: Multiscale analysis and prediction," Energy Economics, Elsevier, vol. 70(C), pages 244-257.
    4. Vladimír Hönig & Petr Prochazka & Michal Obergruber & Luboš Smutka & Viera Kučerová, 2019. "Economic and Technological Analysis of Commercial LNG Production in the EU," Energies, MDPI, vol. 12(8), pages 1-17, April.
    5. Gao, Feng & Shao, Xueyan, 2022. "A novel interval decomposition ensemble model for interval carbon price forecasting," Energy, Elsevier, vol. 243(C).
    6. Wang, Xin & Sun, Mei, 2021. "A novel prediction model of multi-layer symbolic pattern network: Based on causation entropy," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 575(C).
    7. Liu, Menghe & Li, Yuxiao, 2022. "Environmental regulation and green innovation: Evidence from China's carbon emissions trading policy," Finance Research Letters, Elsevier, vol. 48(C).
    8. Ping Wang & Bangzhu Zhu, 2016. "Estimating the Contribution of Industry Structure Adjustment to the Carbon Intensity Target: A Case of Guangdong," Sustainability, MDPI, vol. 8(4), pages 1-11, April.
    9. Liao, Haolan & Wu, Di & Wang, Yuhan & Lyu, Zeyu & Sun, Hongmei & Nie, Yongyou & He, He, 2022. "Impacts of carbon trading mechanism on closed-loop supply chain: A case study of stringer pallet remanufacturing," Socio-Economic Planning Sciences, Elsevier, vol. 81(C).
    10. Naber, S.K. & de Ree, D.A. & Spliet, R. & van den Heuvel, W., 2015. "Allocating CO2 emission to customers on a distribution route," Omega, Elsevier, vol. 54(C), pages 191-199.
    11. Wang, Jujie & Zhuang, Zhenzhen & Gao, Dongming, 2023. "An enhanced hybrid model based on multiple influencing factors and divide-conquer strategy for carbon price prediction," Omega, Elsevier, vol. 120(C).
    12. Sun, Wei & Huang, Chenchen, 2020. "A novel carbon price prediction model combines the secondary decomposition algorithm and the long short-term memory network," Energy, Elsevier, vol. 207(C).
    13. Ke Wang & Yi-Ming Wei & Zhimin Huang, 2015. "Potential gains from carbon emissions trading in China: A DEA based estimation on abatement cost savings," CEEP-BIT Working Papers 84, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
    14. Huang, Wenyang & Zhao, Jianyu & Wang, Xiaokang, 2024. "Model-driven multimodal LSTM-CNN for unbiased structural forecasting of European Union allowances open-high-low-close price," Energy Economics, Elsevier, vol. 132(C).
    15. Katarzyna Rudnik & Anna Hnydiuk-Stefan & Aneta Kucińska-Landwójtowicz & Łukasz Mach, 2022. "Forecasting Day-Ahead Carbon Price by Modelling Its Determinants Using the PCA-Based Approach," Energies, MDPI, vol. 15(21), pages 1-23, October.
    16. Atsalakis, George S. & Atsalaki, Ioanna G. & Pasiouras, Fotios & Zopounidis, Constantin, 2019. "Bitcoin price forecasting with neuro-fuzzy techniques," European Journal of Operational Research, Elsevier, vol. 276(2), pages 770-780.
    17. Zhu, Jiaming & Wu, Peng & Chen, Huayou & Liu, Jinpei & Zhou, Ligang, 2019. "Carbon price forecasting with variational mode decomposition and optimal combined model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 519(C), pages 140-158.
    18. Wei Sun & Junjian Zhang, 2020. "Carbon Price Prediction Based on Ensemble Empirical Mode Decomposition and Extreme Learning Machine Optimized by Improved Bat Algorithm Considering Energy Price Factors," Energies, MDPI, vol. 13(13), pages 1-22, July.
    19. Xiong, Tao & Li, Chongguang & Bao, Yukun, 2017. "Interval-valued time series forecasting using a novel hybrid HoltI and MSVR model," Economic Modelling, Elsevier, vol. 60(C), pages 11-23.
    20. Zhao, Xin & Han, Meng & Ding, Lili & Kang, Wanglin, 2018. "Usefulness of economic and energy data at different frequencies for carbon price forecasting in the EU ETS," Applied Energy, Elsevier, vol. 216(C), pages 132-141.
    21. Mohammed Alamoudi & Osman Taylan & Behrooz Keshtegar & Mona Abusurrah & Mohammed Balubaid, 2022. "Modeling Sulphur Dioxide (SO 2 ) Quality Levels of Jeddah City Using Machine Learning Approaches with Meteorological and Chemical Factors," Sustainability, MDPI, vol. 14(23), pages 1-21, December.
    22. Han, Meng & Ding, Lili & Zhao, Xin & Kang, Wanglin, 2019. "Forecasting carbon prices in the Shenzhen market, China: The role of mixed-frequency factors," Energy, Elsevier, vol. 171(C), pages 69-76.
    23. Xian, Sidong & Feng, Miaomiao & Cheng, Yue, 2023. "Incremental nonlinear trend fuzzy granulation for carbon trading time series forecast," Applied Energy, Elsevier, vol. 352(C).
    24. Wesseh, Presley K. & Lin, Boqiang, 2016. "Modeling environmental policy with and without abatement substitution: A tradeoff between economics and environment?," Applied Energy, Elsevier, vol. 167(C), pages 34-43.
    25. Zhang, Junting & Liu, Haifei & Bai, Wei & Li, Xiaojing, 2024. "A hybrid approach of wavelet transform, ARIMA and LSTM model for the share price index futures forecasting," The North American Journal of Economics and Finance, Elsevier, vol. 69(PB).
    26. Qingjie Zhou & Panpan Zhu & Yinpeng Zhang, 2023. "Contagion Spillover from Bitcoin to Carbon Futures Pricing: Perspective from Investor Attention," Energies, MDPI, vol. 16(2), pages 1-22, January.
    27. Lei, Heng & Xue, Minggao & Liu, Huiling, 2022. "Probability distribution forecasting of carbon allowance prices: A hybrid model considering multiple influencing factors," Energy Economics, Elsevier, vol. 113(C).
    28. Fengli Zhang & Chen Li & Yajie Yu & Dana M. Johnson, 2019. "Resources and Future Availability of Agricultural Biomass for Energy Use in Beijing," Energies, MDPI, vol. 12(10), pages 1-14, May.
    29. Jujie Wang & Zhenzhen Zhuang, 2023. "A novel cluster based multi-index nonlinear ensemble framework for carbon price forecasting," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(7), pages 6225-6247, July.
    30. Feng, Ling & Wang, Jieyu, 2023. "Random sources correlations and carbon futures pricing," International Review of Financial Analysis, Elsevier, vol. 86(C).
    31. Hongwei Dong & Yue Hu & Yihe Yang & Wenjing Jiang, 2023. "A Multi-Strategy Integration Prediction Model for Carbon Price," Energies, MDPI, vol. 16(12), pages 1-19, June.
    32. Xu, Hua & Wang, Minggang & Jiang, Shumin & Yang, Weiguo, 2020. "Carbon price forecasting with complex network and extreme learning machine," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 545(C).
    33. Niu, Xinsong & Wang, Jiyang & Wei, Danxiang & Zhang, Lifang, 2022. "A combined forecasting framework including point prediction and interval prediction for carbon emission trading prices," Renewable Energy, Elsevier, vol. 201(P1), pages 46-59.
    34. Singh, Sarbjit & Parmar, Kulwinder Singh & Makkhan, Sidhu Jitendra Singh & Kaur, Jatinder & Peshoria, Shruti & Kumar, Jatinder, 2020. "Study of ARIMA and least square support vector machine (LS-SVM) models for the prediction of SARS-CoV-2 confirmed cases in the most affected countries," Chaos, Solitons & Fractals, Elsevier, vol. 139(C).
    35. Abhinav Khare & Qing He & Rajan Batta, 2020. "Predicting gasoline shortage during disasters using social media," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 42(3), pages 693-726, September.
    36. Bangzhu Zhu & Xuetao Shi & Julien Chevallier & Ping Wang & Yi-Ming Wei, 2016. "An Adaptive Multiscale Ensemble Learning Paradigm for Nonstationary and Nonlinear Energy Price Time Series Forecasting," Working Papers 2016-004, Department of Research, Ipag Business School.
    37. Yumin Li & Ruiqi Yang & Xiaoman Wang & Jiaming Zhu & Nan Song, 2023. "Carbon Price Combination Forecasting Model Based on Lasso Regression and Optimal Integration," Sustainability, MDPI, vol. 15(12), pages 1-26, June.
    38. Wei Sun & Ming Duan, 2019. "Analysis and Forecasting of the Carbon Price in China’s Regional Carbon Markets Based on Fast Ensemble Empirical Mode Decomposition, Phase Space Reconstruction, and an Improved Extreme Learning Machin," Energies, MDPI, vol. 12(2), pages 1-27, January.
    39. Zhang, Chen & Yang, Yu & Yun, Po, 2020. "Risk measurement of international carbon market based on multiple risk factors heterogeneous dependence," Finance Research Letters, Elsevier, vol. 32(C).
    40. Kaijian He & Qian Yang & Lei Ji & Jingcheng Pan & Yingchao Zou, 2023. "Financial Time Series Forecasting with the Deep Learning Ensemble Model," Mathematics, MDPI, vol. 11(4), pages 1-15, February.
    41. Yi-Ming Wei & Zhi-Fu Mi & Zhiming Huang, 2014. "Climate policy modeling: An online SCI-E and SSCI based literature review," CEEP-BIT Working Papers 58, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
    42. Guo, Wei & Liu, Qingfu & Luo, Zhidan & Tse, Yiuman, 2022. "Forecasts for international financial series with VMD algorithms," Journal of Asian Economics, Elsevier, vol. 80(C).
    43. Jun Hao & Xiaolei Sun & Qianqian Feng, 2020. "A Novel Ensemble Approach for the Forecasting of Energy Demand Based on the Artificial Bee Colony Algorithm," Energies, MDPI, vol. 13(3), pages 1-25, January.
    44. Jianguo Zhou & Xuechao Yu & Xiaolei Yuan, 2018. "Predicting the Carbon Price Sequence in the Shenzhen Emissions Exchange Using a Multiscale Ensemble Forecasting Model Based on Ensemble Empirical Mode Decomposition," Energies, MDPI, vol. 11(7), pages 1-17, July.
    45. Qi, Shaozhou & Cheng, Shihan & Tan, Xiujie & Feng, Shenghao & Zhou, Qi, 2022. "Predicting China's carbon price based on a multi-scale integrated model," Applied Energy, Elsevier, vol. 324(C).
    46. Quande Qin & Huangda He & Li Li & Ling-Yun He, 2020. "A Novel Decomposition-Ensemble Based Carbon Price Forecasting Model Integrated with Local Polynomial Prediction," Computational Economics, Springer;Society for Computational Economics, vol. 55(4), pages 1249-1273, April.
    47. Zhu, Bangzhu & Ye, Shunxin & Wang, Ping & He, Kaijian & Zhang, Tao & Wei, Yi-Ming, 2018. "A novel multiscale nonlinear ensemble leaning paradigm for carbon price forecasting," Energy Economics, Elsevier, vol. 70(C), pages 143-157.
    48. Bangzhu Zhu & Ping Wang & Julien Chevallier & Yiming Wei, 2014. "Carbon price analysis using empirical mode decomposition," Working Papers 2014-156, Department of Research, Ipag Business School.
    49. Huang, Zhehao & Dong, Hao & Jia, Shuaishuai, 2022. "Equilibrium pricing for carbon emission in response to the target of carbon emission peaking," Energy Economics, Elsevier, vol. 112(C).
    50. Li, Guohui & Ning, Zhiyuan & Yang, Hong & Gao, Lipeng, 2022. "A new carbon price prediction model," Energy, Elsevier, vol. 239(PD).
    51. Chen, Xu & Wang, Xiaojun, 2016. "Effects of carbon emission reduction policies on transportation mode selections with stochastic demand," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 90(C), pages 196-205.
    52. Jianguo Zhou & Dongfeng Chen, 2021. "Carbon Price Forecasting Based on Improved CEEMDAN and Extreme Learning Machine Optimized by Sparrow Search Algorithm," Sustainability, MDPI, vol. 13(9), pages 1-20, April.
    53. Xing Zhang & Chongchong Zhang & Zhuoqun Wei, 2019. "Carbon Price Forecasting Based on Multi-Resolution Singular Value Decomposition and Extreme Learning Machine Optimized by the Moth–Flame Optimization Algorithm Considering Energy and Economic Factors," Energies, MDPI, vol. 12(22), pages 1-23, November.
    54. Taiyong Li & Zhenda Hu & Yanchi Jia & Jiang Wu & Yingrui Zhou, 2018. "Forecasting Crude Oil Prices Using Ensemble Empirical Mode Decomposition and Sparse Bayesian Learning," Energies, MDPI, vol. 11(7), pages 1-23, July.
    55. Bangzhu Zhu & Julien Chevallier & Shujiao Ma & Yiming Wei, 2015. "Examining the structural changes of European carbon futures price 2005-2012," Applied Economics Letters, Taylor & Francis Journals, vol. 22(5), pages 335-342, March.
    56. Xu, Shuojiang & Chan, Hing Kai & Zhang, Tiantian, 2019. "Forecasting the demand of the aviation industry using hybrid time series SARIMA-SVR approach," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 122(C), pages 169-180.
    57. Jianguo Zhou & Qiqi Wang, 2021. "Forecasting Carbon Price with Secondary Decomposition Algorithm and Optimized Extreme Learning Machine," Sustainability, MDPI, vol. 13(15), pages 1-17, July.
    58. Heng-Li Yang & Han-Chou Lin, 2017. "Applying the Hybrid Model of EMD, PSR, and ELM to Exchange Rates Forecasting," Computational Economics, Springer;Society for Computational Economics, vol. 49(1), pages 99-116, January.
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    61. Houjian Li & Xinya Huang & Deheng Zhou & Andi Cao & Mengying Su & Yufeng Wang & Lili Guo, 2022. "Forecasting Carbon Price in China: A Multimodel Comparison," IJERPH, MDPI, vol. 19(10), pages 1-16, May.
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    1. Yujin Jeong & Hyejin Jang & Byungun Yoon, 2021. "Developing a risk-adaptive technology roadmap using a Bayesian network and topic modeling under deep uncertainty," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(5), pages 3697-3722, May.
    2. Höller, Samuel & Viebahn, Peter, 2016. "Facing the uncertainty of CO2 storage capacity in China by developing different storage scenarios," Energy Policy, Elsevier, vol. 89(C), pages 64-73.
    3. Hong-Hua Qiu & Lu-Ge Liu, 2018. "A Study on the Evolution of Carbon Capture and Storage Technology Based on Knowledge Mapping," Energies, MDPI, vol. 11(5), pages 1-25, May.
    4. Ren, Lei & Zhou, Sheng & Peng, Tianduo & Ou, Xunmin, 2021. "A review of CO2 emissions reduction technologies and low-carbon development in the iron and steel industry focusing on China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 143(C).
    5. Kang, Jia-Ning & Wei, Yi-Ming & Liu, Lan-cui & Wang, Jin-Wei, 2021. "Observing technology reserves of carbon capture and storage via patent data: Paving the way for carbon neutral," Technological Forecasting and Social Change, Elsevier, vol. 171(C).
    6. Song, Xiaohua & Ge, Zeqi & Zhang, Wen & Wang, Zidong & Huang, Yamin & Liu, Hong, 2023. "Study on multi-subject behavior game of CCUS cooperative alliance," Energy, Elsevier, vol. 262(PB).
    7. Xu, Lei & Chen, Nengcheng & Chen, Zeqiang, 2017. "Will China make a difference in its carbon intensity reduction targets by 2020 and 2030?," Applied Energy, Elsevier, vol. 203(C), pages 874-882.
    8. Xiangsheng Dou, 2017. "Low Carbon Technology Innovation, Carbon Emissions Trading and Relevant Policy Support for China s Low Carbon Economy Development," International Journal of Energy Economics and Policy, Econjournals, vol. 7(2), pages 172-184.
    9. Liangchao Huang & Zhengmeng Hou & Yanli Fang & Jianhua Liu & Tianle Shi, 2023. "Evolution of CCUS Technologies Using LDA Topic Model and Derwent Patent Data," Energies, MDPI, vol. 16(6), pages 1-14, March.
    10. Tang, Bao-Jun & Li, Ru & Li, Xiao-Yi & Chen, Hao, 2017. "An optimal production planning model of coal-fired power industry in China: Considering the process of closing down inefficient units and developing CCS technologies," Applied Energy, Elsevier, vol. 206(C), pages 519-530.
    11. Wei, Yi-Ming & Kang, Jia-Ning & Yu, Bi-Ying & Liao, Hua & Du, Yun-Fei, 2017. "A dynamic forward-citation full path model for technology monitoring: An empirical study from shale gas industry," Applied Energy, Elsevier, vol. 205(C), pages 769-780.
    12. Liqiang Xu & Qiufang Cui & Te Tu & Shuo Liu & Long Ji & Shuiping Yan, 2020. "Waste heat recovery from the stripped gas in carbon capture process by membrane technology: Hydrophobic and hydrophilic organic membrane cases," Greenhouse Gases: Science and Technology, Blackwell Publishing, vol. 10(2), pages 421-435, April.
    13. Noh, Heeyong & Kim, Kyuwoong & Song, Young-Keun & Lee, Sungjoo, 2021. "Opportunity-driven technology roadmapping: The case of 5G mobile services," Technological Forecasting and Social Change, Elsevier, vol. 163(C).
    14. He, Gang & Zhang, Hongliang & Xu, Yuan & Lu, Xi, 2017. "China’s clean power transition: Current status and future prospect," Resources, Conservation & Recycling, Elsevier, vol. 121(C), pages 3-10.
    15. Qi Li & Ya-Ni Wei & Yanfang Dong, 2016. "Coupling analysis of China’s urbanization and carbon emissions: example from Hubei Province," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 81(2), pages 1333-1348, March.
    16. Guo, Jian & Zhong, Minghao & Chen, Shuran, 2022. "Analysis and simulation of BECCS vertical integration model in China based on evolutionary game and system dynamics," Energy, Elsevier, vol. 252(C).
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    18. Yang, Bo & Wei, Yi-Ming & Liu, Lan-Cui & Hou, Yun-Bing & Zhang, Kun & Yang, Lai & Feng, Ye, 2021. "Life cycle cost assessment of biomass co-firing power plants with CO2 capture and storage considering multiple incentives," Energy Economics, Elsevier, vol. 96(C).
    19. Nan Li & Beibei Shi & Rong Kang, 2021. "Information Disclosure, Coal Withdrawal and Carbon Emissions Reductions: A Policy Test Based on China’s Environmental Information Disclosure," Sustainability, MDPI, vol. 13(17), pages 1-24, August.
    20. Herui Cui & Tian Zhao & Ruirui Wu, 2018. "An Investment Feasibility Analysis of CCS Retrofit Based on a Two-Stage Compound Real Options Model," Energies, MDPI, vol. 11(7), pages 1-19, July.
    21. Fei Gao & Peng Wang & Dapeng Wang & Yulong Yang & Xun Zhang & Gang Bai, 2023. "Model for Predicting CO 2 Adsorption in Coal Left in Goaf Based on Backpropagation Neural Network," Energies, MDPI, vol. 16(9), pages 1-16, April.
    22. Zhang, Xian & Wang, Xingwei & Chen, Jiajun & Xie, Xi & Wang, Ke & Wei, Yiming, 2014. "A novel modeling based real option approach for CCS investment evaluation under multiple uncertainties," Applied Energy, Elsevier, vol. 113(C), pages 1059-1067.
    23. Pavel Tcvetkov & Alexey Cherepovitsyn & Sergey Fedoseev, 2019. "The Changing Role of CO 2 in the Transition to a Circular Economy: Review of Carbon Sequestration Projects," Sustainability, MDPI, vol. 11(20), pages 1-19, October.
    24. Wang, Jianda & Dong, Kangyin & Taghizadeh-Hesary, Farhad & Dong, Xiucheng, 2023. "Does industrial convergence mitigate CO2 emissions in China? A quasi-natural experiment on “Triple Play” Reform," Energy Economics, Elsevier, vol. 128(C).
    25. Qi Li & Ya-Ni Wei & Yanfang Dong, 2016. "Coupling analysis of China’s urbanization and carbon emissions: example from Hubei Province," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 81(2), pages 1333-1348, March.
    26. Chen, Zheng-Ao & Li, Qi & Liu, Lan-Cui & Zhang, Xian & Kuang, Liping & Jia, Li & Liu, Guizhen, 2015. "A large national survey of public perceptions of CCS technology in China," Applied Energy, Elsevier, vol. 158(C), pages 366-377.

  175. Wang, Ke & Lu, Bin & Wei, Yi-Ming, 2013. "China’s regional energy and environmental efficiency: A Range-Adjusted Measure based analysis," Applied Energy, Elsevier, vol. 112(C), pages 1403-1415.
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  176. Bing Wang & Hao Yu & Yi-Ming Wei, 2013. "Impact factors of public attitudes towards nuclear power development: a questionnaire survey in China," International Journal of Global Energy Issues, Inderscience Enterprises Ltd, vol. 36(1), pages 61-79.

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    1. Wu, Yican, 2017. "Public acceptance of constructing coastal/inland nuclear power plants in post-Fukushima China," Energy Policy, Elsevier, vol. 101(C), pages 484-491.
    2. Gupta, Kuhika & Ripberger, Joseph T. & Fox, Andrew S. & Jenkins-Smith, Hank C. & Silva, Carol L., 2021. "The future of nuclear energy in India: Evidence from a nationwide survey," Energy Policy, Elsevier, vol. 156(C).
    3. Yu, H. & Reiner, D. & Chen, H. & Mi, Z., 2018. "A comparison of public preferences for different low-carbon energy technologies: Support for CCS, nuclear and wind energy in the United Kingdom," Cambridge Working Papers in Economics 1826, Faculty of Economics, University of Cambridge.
    4. Wang, Fan & Gu, Jibao & Wu, Jianlin, 2020. "Perspective taking, energy policy involvement, and public acceptance of nuclear energy: Evidence from China," Energy Policy, Elsevier, vol. 145(C).
    5. Wang, Bing & Liang, Xiao-Jie & Zhang, Hao & Wang, Lu & Wei, Yi-Ming, 2014. "Vulnerability of hydropower generation to climate change in China: Results based on Grey forecasting model," Energy Policy, Elsevier, vol. 65(C), pages 701-707.
    6. Lorteau, Steve & Muzzerall, Parker & Deneault, Audrey-Ann & Kennedy, Emily Huddart & Rocque, Rhéa & Racine, Nicole & Bureau, Jean-François, 2024. "Do climate concerns and worries predict energy preferences? A meta-analysis," Energy Policy, Elsevier, vol. 190(C).
    7. Khuc, Quy Van & Phu, Tri Vu & Vuong, Quan-Hoang & Le, Tuyet-Anh T., 2020. "The inner-city inhabitants and foreigners’ contribution commitment to improving air pollution: Dataset from a field survey in Hanoi," OSF Preprints fsgrx, Center for Open Science.

  177. Qiao-Mei Liang & Qian Wang & Yi-Ming Wei, 2013. "Assessing the Distributional Impacts of Carbon Tax among Households across Different Income Groups: The Case of China," Energy & Environment, , vol. 24(7-8), pages 1323-1346, December.

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    1. Gao, Zhiyuan & Zhao, Ying & Li, Lianqing & Hao, Yu, 2024. "Economic effects of sustainable energy technology progress under carbon reduction targets: An analysis based on a dynamic multi-regional CGE model," Applied Energy, Elsevier, vol. 363(C).
    2. Jiang, Hong-Dian & Xue, Mei-Mei & Liang, Qiao-Mei & Masui, Toshihiko & Ren, Zhong-Yuan, 2022. "How do demand-side policies contribute to the electrification and decarburization of private transportation in China? A CGE-based analysis," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
    3. Wang, Qian & Hubacek, Klaus & Feng, Kuishuang & Guo, Lin & Zhang, Kun & Xue, Jinjun & Liang, Qiao-Mei, 2019. "Distributional impact of carbon pricing in Chinese provinces," Energy Economics, Elsevier, vol. 81(C), pages 327-340.
    4. Wang, Qian & Hubacek, Klaus & Feng, Kuishuang & Wei, Yi-Ming & Liang, Qiao-Mei, 2016. "Distributional effects of carbon taxation," Applied Energy, Elsevier, vol. 184(C), pages 1123-1131.
    5. Tram T.H. Nguyen and Wonho Song, 2021. "Carbon Pricing and Income Inequality: An Empirical Investigation," Journal of Economic Development, Chung-Ang Unviersity, Department of Economics, vol. 46(2), pages 155-182, June.
    6. Qian Wang & Qiao-Mei Liang & Bing Wang & Fang-Xun Zhong, 2016. "Impact of household expenditures on CO2 emissions in China: Income-determined or lifestyle-driven?," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 84(1), pages 353-379, November.
    7. Teng, Qiang & Zhang, Yu-Fei & Jiang, Hong-Dian & Liang, Qiao-Mei, 2023. "Economy-wide assessment of achieving carbon neutrality in China's power sector: A computable general equilibrium analysis," Renewable Energy, Elsevier, vol. 219(P2).
    8. Yun-Fei Yao & Qiao-Mei Liang, 2016. "Approaches to carbon allowance allocation in China: a computable general equilibrium analysis," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 84(1), pages 333-351, November.
    9. Qian Wang & Qiao-Mei Liang, 2015. "Will a carbon tax hinder China’s efforts to improve its primary income distribution status?," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 20(8), pages 1407-1436, December.
    10. Zhang, Hongxia & Hewings, Geoffrey J.D. & Zheng, Xinye, 2019. "The effects of carbon taxation in China: An analysis based on energy input-output model in hybrid units," Energy Policy, Elsevier, vol. 128(C), pages 223-234.

  178. Fan, Jing-Li & Liao, Hua & Liang, Qiao-Mei & Tatano, Hirokazu & Liu, Chun-Feng & Wei, Yi-Ming, 2013. "Residential carbon emission evolutions in urban–rural divided China: An end-use and behavior analysis," Applied Energy, Elsevier, vol. 101(C), pages 323-332.
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  179. Wang, Ke & Zhang, Xian & Wei, Yi-Ming & Yu, Shiwei, 2013. "Regional allocation of CO2 emissions allowance over provinces in China by 2020," Energy Policy, Elsevier, vol. 54(C), pages 214-229.
    See citations under working paper version above.
  180. Ke Wang & Lu Wang & Yi-Ming Wei & Maosheng Ye, 2013. "Beijing storm of July 21, 2012: observations and reflections," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 67(2), pages 969-974, June.
    See citations under working paper version above.
  181. Liao, Hua & Du, Jian & Wei, Yi-Ming, 2013. "Energy conservation in China: Key provincial sectors at two-digit level," Applied Energy, Elsevier, vol. 104(C), pages 457-465.
    See citations under working paper version above.
  182. Ju-Liang Jin & Yi-Ming Wei & Le-Le Zou & Li Liu & Juan Fu, 2012. "Risk evaluation of China’s natural disaster systems: an approach based on triangular fuzzy numbers and stochastic simulation," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 62(1), pages 129-139, May.

    Cited by:

    1. Yue Zhao & Zaiwu Gong & Wenhao Wang & Kai Luo, 2014. "The comprehensive risk evaluation on rainstorm and flood disaster losses in China mainland from 2004 to 2009: based on the triangular gray correlation theory," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 71(2), pages 1001-1016, March.
    2. Naiming Xie & Jianghui Xin & Sifeng Liu, 2014. "China’s regional meteorological disaster loss analysis and evaluation based on grey cluster model," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 71(2), pages 1067-1089, March.
    3. Zaiwu Gong & Yue Zhao & Xinming Ge, 2014. "Efficiency assessment of the energy consumption and economic indicators in Beijing under the influence of short-term climatic factors: based on data envelopment analysis methodology," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 71(2), pages 1145-1157, March.
    4. Mengyao Gu & Youling Chen, 2019. "Two improvements of similarity-based residual life prediction methods," Journal of Intelligent Manufacturing, Springer, vol. 30(1), pages 303-315, January.
    5. Xiaoli Li & Zhiqiang Li & Jiansi Yang & Yaohui Liu & Bo Fu & Wenhua Qi & Xiwei Fan, 2018. "Spatiotemporal characteristics of earthquake disaster losses in China from 1993 to 2016," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 94(2), pages 843-865, November.
    6. Li Liao & Jianzhong Zhou & Qiang Zou, 2013. "Weighted fuzzy kernel-clustering algorithm with adaptive differential evolution and its application on flood classification," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 69(1), pages 279-293, October.
    7. Yuanyuan He & Zaiwu Gong, 2014. "China’s regional rainstorm floods disaster evaluation based on grey incidence multiple-attribute decision model," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 71(2), pages 1125-1144, March.
    8. Jun He & Xiao-Hua Yang & Jian-Qiang Li & Ju-Liang Jin & Yi-Ming Wei & Xiao-Juan Chen, 2015. "Spatiotemporal variation of meteorological droughts based on the daily comprehensive drought index in the Haihe River basin, China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 75(2), pages 199-217, February.
    9. Ming-Wu Wang & Peng Xu & Jian Li & Kui-Yuan Zhao, 2014. "A novel set pair analysis method based on variable weights for liquefaction evaluation," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 70(2), pages 1527-1534, January.
    10. Chengguang Lai & Xiaohong Chen & Xiaoyu Chen & Zhaoli Wang & Xushu Wu & Shiwei Zhao, 2015. "A fuzzy comprehensive evaluation model for flood risk based on the combination weight of game theory," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 77(2), pages 1243-1259, June.
    11. Yuanshu Jing & Jian Li & Yongyuan Weng & Jing Wang, 2014. "The assessment of drought relief by typhoon Saomai based on MODIS remote sensing data in Shanghai, China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 71(2), pages 1215-1225, March.
    12. Tao Wang & Jian-sheng Chen & Ting Wang & Shuang Wang, 2015. "Entropy weight-set pair analysis based on tracer techniques for dam leakage investigation," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 76(2), pages 747-767, March.

  183. Yu, Shiwei & Wei, Yi-Ming & Fan, Jingli & Zhang, Xian & Wang, Ke, 2012. "Exploring the regional characteristics of inter-provincial CO2 emissions in China: An improved fuzzy clustering analysis based on particle swarm optimization," Applied Energy, Elsevier, vol. 92(C), pages 552-562.
    See citations under working paper version above.
  184. Wu, Gang & Wei, Yi-Ming & Nielsen, Chris & Lu, Xi & McElroy, Michael B., 2012. "A dynamic programming model of China's strategic petroleum reserve: General strategy and the effect of emergencies," Energy Economics, Elsevier, vol. 34(4), pages 1234-1243.

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    1. Murphy, Frederic & Oliveira, Fernando S., 2013. "Pricing option contracts on the strategic petroleum reserve," Energy Economics, Elsevier, vol. 40(C), pages 242-250.
    2. Zhang, Xiao-Bing & Qin, Ping & Chen, Xiaolan, 2017. "Strategic oil stockpiling for energy security: The case of China and India," Energy Economics, Elsevier, vol. 61(C), pages 253-260.
    3. Liu, Zhen & Tang, Yuk Ming & Chau, Ka Yin & Chien, Fengsheng & Iqbal, Wasim & Sadiq, Muhammad, 2021. "Incorporating strategic petroleum reserve and welfare losses: A way forward for the policy development of crude oil resources in South Asia," Resources Policy, Elsevier, vol. 74(C).
    4. Xie, Nan & Yan, Zhijun & Zhou, Yi & Huang, Wenjun, 2017. "China's optimal stockpiling policies in the context of new oil price trend," Energy Policy, Elsevier, vol. 105(C), pages 332-340.
    5. Li, Jinlong & Zhang, Ning & Xu, Wenjie & Naumov, Dmitri & Fischer, Thomas & Chen, Yunmin & Zhuang, Duanyang & Nagel, Thomas, 2022. "The influence of cavern length on deformation and barrier integrity around horizontal energy storage salt caverns," Energy, Elsevier, vol. 244(PB).
    6. Ilyes Abid & Stéphane Goutte & Farid Mkaouar & Khaled Guesmi, 2018. "Optimal strategy between extraction and storage of crude oil," Post-Print hal-01968085, HAL.
    7. Ji, Qiang & Zhang, Hai-Ying & Zhang, Dayong, 2019. "The impact of OPEC on East Asian oil import security: A multidimensional analysis," Energy Policy, Elsevier, vol. 126(C), pages 99-107.
    8. Zhang, Nan & Shi, Xilin & Wang, Tongtao & Yang, Chunhe & Liu, Wei & Ma, Hongling & Daemen, J.J.K., 2017. "Stability and availability evaluation of underground strategic petroleum reserve (SPR) caverns in bedded rock salt of Jintan, China," Energy, Elsevier, vol. 134(C), pages 504-514.
    9. Yu, Shiwei & Gao, Siwei & sun, Han, 2016. "A dynamic programming model for environmental investment decision-making in coal mining," Applied Energy, Elsevier, vol. 166(C), pages 273-281.
    10. Nan Zhang & Wei Liu & Yun Zhang & Pengfei Shan & Xilin Shi, 2020. "Microscopic Pore Structure of Surrounding Rock for Underground Strategic Petroleum Reserve (SPR) Caverns in Bedded Rock Salt," Energies, MDPI, vol. 13(7), pages 1-22, March.
    11. Li, Tianxiao & Liu, Pei & Li, Zheng, 2021. "Optimal scale of natural gas reserves in China under increasing and fluctuating demand: A quantitative analysis," Energy Policy, Elsevier, vol. 152(C).
    12. Bai, Y. & Dahl, C.A. & Zhou, D.Q. & Zhou, P., 2014. "Stockpile strategy for China׳s emergency oil reserve: A dynamic programming approach," Energy Policy, Elsevier, vol. 73(C), pages 12-20.
    13. Bai, Yang & Zhou, Peng & Tian, Lixin & Meng, Fanyi, 2016. "Desirable Strategic Petroleum Reserves policies in response to supply uncertainty: A stochastic analysis," Applied Energy, Elsevier, vol. 162(C), pages 1523-1529.
    14. Leszek Lankof & Stanisław Nagy & Krzysztof Polański & Kazimierz Urbańczyk, 2022. "Potential for Underground Storage of Liquid Fuels in Bedded Rock Salt Formations in Poland," Energies, MDPI, vol. 15(19), pages 1-21, September.
    15. Zhang, Xiao-Bing & Zheng, Xinye & Qin, Ping & Xie, Lunyu, 2018. "Oil import tariff game for energy security: The case of China and India," Energy Economics, Elsevier, vol. 72(C), pages 255-262.
    16. Mei-Mei Xue & Gang Wu & Qian Wang & Yun-Fei Yao & Qiao-Mei Liang, 2019. "Socioeconomic impacts of a shortage in imported oil supply: case of China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 99(3), pages 1415-1430, December.
    17. Chen, Xin & Mu, Hailin & Li, Huanan & Gui, Shusen, 2014. "Using stockpile delegation to improve China׳s strategic oil policy: A multi-dimension stochastic dynamic programming approach," Energy Policy, Elsevier, vol. 69(C), pages 28-42.
    18. Jiao, Jian-Ling & Han, Kuang-Yi & Wu, Gang & Li, Lan-Lan & Wei, Yi-Ming, 2014. "The effect of an SPR on the oil price in China: A system dynamics approach," Applied Energy, Elsevier, vol. 133(C), pages 363-373.
    19. Zhang, Xiao-Bing, 2014. "Optimal strategic oil stockpiling and import tariffs: The case of China," Energy Economics, Elsevier, vol. 45(C), pages 463-474.
    20. Gao, Dan & Li, Zheng & Liu, Pei & Zhao, Jiazhu & Zhang, Yuning & Li, Canbing, 2018. "A coordinated energy security model taking strategic petroleum reserve and alternative fuels into consideration," Energy, Elsevier, vol. 145(C), pages 171-181.

  185. Cong, Rong-Gang & Wei, Yi-Ming, 2012. "Experimental comparison of impact of auction format on carbon allowance market," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(6), pages 4148-4156.

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    1. Hongpeng Guo & Zhihao Lv & Junyi Hua & Hongxu Yuan & Qingyu Yu, 2021. "Design of Combined Auction Model for Emission Rights of International Forestry Carbon Sequestration and Other Pollutants Based on SMRA," Sustainability, MDPI, vol. 13(20), pages 1-18, October.
    2. Jin, Gui & Shi, Xin & Zhang, Lei & Hu, Shougeng, 2020. "Measuring the SCCs of different Chinese regions under future scenarios," Renewable and Sustainable Energy Reviews, Elsevier, vol. 130(C).
    3. Ke Wang & Yujiao Xian & Chia-Yen Lee & Yi-Ming Wei & Zhimin Huang, 2019. "On selecting directions for directional distance functions in a non-parametric framework: a review," Annals of Operations Research, Springer, vol. 278(1), pages 43-76, July.
    4. Xiao, Hongwei & Ma, Zhongyu & Mi, Zhifu & Kelsey, John & Zheng, Jiali & Yin, Weihua & Yan, Min, 2018. "Spatio-temporal simulation of energy consumption in China's provinces based on satellite night-time light data," Applied Energy, Elsevier, vol. 231(C), pages 1070-1078.
    5. Zhou, Yang & Liu, Yansui, 2016. "Does population have a larger impact on carbon dioxide emissions than income? Evidence from a cross-regional panel analysis in China," Applied Energy, Elsevier, vol. 180(C), pages 800-809.
    6. Koo, Choongwan & Hong, Taehoon, 2015. "Development of a dynamic operational rating system in energy performance certificates for existing buildings: Geostatistical approach and data-mining technique," Applied Energy, Elsevier, vol. 154(C), pages 254-270.
    7. Chen, Lihong & Cong, Rong-Gang & Shu, Bangrong & Mi, Zhi-Fu, 2017. "A sustainable biogas model in China: The case study of Beijing Deqingyuan biogas project," Renewable and Sustainable Energy Reviews, Elsevier, vol. 78(C), pages 773-779.
    8. Ouyang, Xiaoling & Lin, Boqiang, 2015. "An analysis of the driving forces of energy-related carbon dioxide emissions in China’s industrial sector," Renewable and Sustainable Energy Reviews, Elsevier, vol. 45(C), pages 838-849.
    9. Wesseh, Presley K. & Lin, Boqiang, 2016. "Modeling environmental policy with and without abatement substitution: A tradeoff between economics and environment?," Applied Energy, Elsevier, vol. 167(C), pages 34-43.
    10. Zhang, Yue-Jun & Wang, Ao-Dong & Tan, Weiping, 2015. "The impact of China's carbon allowance allocation rules on the product prices and emission reduction behaviors of ETS-covered enterprises," Energy Policy, Elsevier, vol. 86(C), pages 176-185.
    11. Ming Meng & Lixue Wang & Qu Chen, 2018. "Quota Allocation for Carbon Emissions in China’s Electric Power Industry Based Upon the Fairness Principle," Energies, MDPI, vol. 11(9), pages 1-16, August.
    12. Fan, Jing-Li & Da, Ya-Bin & Wan, Si-Lai & Zhang, Mian & Cao, Zhe & Wang, Yu & Zhang, Xian, 2019. "Determinants of carbon emissions in ‘Belt and Road initiative’ countries: A production technology perspective," Applied Energy, Elsevier, vol. 239(C), pages 268-279.
    13. Tang, Ling & Wu, Jiaqian & Yu, Lean & Bao, Qin, 2015. "Carbon emissions trading scheme exploration in China: A multi-agent-based model," Energy Policy, Elsevier, vol. 81(C), pages 152-169.
    14. Jiang, Jingjing & Xie, Dejun & Ye, Bin & Shen, Bo & Chen, Zhanming, 2016. "Research on China’s cap-and-trade carbon emission trading scheme: Overview and outlook," Applied Energy, Elsevier, vol. 178(C), pages 902-917.
    15. Hao Yu & Yi-Ming Wei & Bao-Jun Tang & Zhifu Mi & Su-Yan Pan, 2017. "Assessment on the research trend of low-carbon energy technology investment: A bibliometric analysis," CEEP-BIT Working Papers 106, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
    16. Chatterjee, Arnab & Zhang, Lijun & Xia, Xiaohua, 2015. "Optimization of mine ventilation fan speeds according to ventilation on demand and time of use tariff," Applied Energy, Elsevier, vol. 146(C), pages 65-73.
    17. Tang, Ling & Wu, Jiaqian & Yu, Lean & Bao, Qin, 2017. "Carbon allowance auction design of China's emissions trading scheme: A multi-agent-based approach," Energy Policy, Elsevier, vol. 102(C), pages 30-40.
    18. Yi-Ming Wei & Zhi-Fu Mi & Zhiming Huang, 2014. "Climate policy modeling: An online SCI-E and SSCI based literature review," CEEP-BIT Working Papers 58, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
    19. Xiong, Weiming & Wang, Yu & Mathiesen, Brian Vad & Zhang, Xiliang, 2016. "Case study of the constraints and potential contributions regarding wind curtailment in Northeast China," Energy, Elsevier, vol. 110(C), pages 55-64.
    20. Zhuo Hu & Dong Huang & Congjun Rao & Xiaolin Xu, 2016. "Innovative allocation mechanism design of carbon emission permits in China under the background of a low-carbon economy," Environment and Planning B, , vol. 43(2), pages 419-434, March.
    21. Zhang, Kun & Wang, Qian & Liang, Qiao-Mei & Chen, Hao, 2016. "A bibliometric analysis of research on carbon tax from 1989 to 2014," Renewable and Sustainable Energy Reviews, Elsevier, vol. 58(C), pages 297-310.
    22. Yu, Xianyu & Wu, Zemin & Wang, Qunwei & Sang, Xiuzhi & Zhou, Dequn, 2020. "Exploring the investment strategy of power enterprises under the nationwide carbon emissions trading mechanism: A scenario-based system dynamics approach," Energy Policy, Elsevier, vol. 140(C).
    23. Pueboobpaphan, Suthatip & Indra-Payoong, Nakorn & Opasanon, Sathaporn, 2019. "Experimental analysis of variable surcharge policy of taxi service auction," Transport Policy, Elsevier, vol. 76(C), pages 134-148.
    24. Wang, Bangjun & Ji, Feng & Zheng, Jie & Xie, Kejia & Feng, Zhaolei, 2021. "Carbon emission reduction of coal-fired power supply chain enterprises under the revenue sharing contract: Perspective of coordination game," Energy Economics, Elsevier, vol. 102(C).
    25. Nan Li & Beibei Shi & Rong Kang, 2021. "Information Disclosure, Coal Withdrawal and Carbon Emissions Reductions: A Policy Test Based on China’s Environmental Information Disclosure," Sustainability, MDPI, vol. 13(17), pages 1-24, August.
    26. Alvarez, Francisco & André, Francisco J., 2015. "Auctioning emission permits in a leader-follower setting," MPRA Paper 61698, University Library of Munich, Germany.
    27. Qunwei Wang & Cheng Cheng & Dequn Zhou, 2020. "Multi-round auctions in an emissions trading system considering firm bidding strategies and government regulations," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 25(7), pages 1403-1421, October.
    28. Chen, Hao & Tang, Bao-Jun & Liao, Hua & Wei, Yi-Ming, 2016. "A multi-period power generation planning model incorporating the non-carbon external costs: A case study of China," Applied Energy, Elsevier, vol. 183(C), pages 1333-1345.
    29. Han, Rong & Yu, Bi-Ying & Tang, Bao-Jun & Liao, Hua & Wei, Yi-Ming, 2017. "Carbon emissions quotas in the Chinese road transport sector: A carbon trading perspective," Energy Policy, Elsevier, vol. 106(C), pages 298-309.
    30. Xu, Jiuping & Yang, Xin & Tao, Zhimiao, 2015. "A tripartite equilibrium for carbon emission allowance allocation in the power-supply industry," Energy Policy, Elsevier, vol. 82(C), pages 62-80.
    31. Zhu, Y. & Li, Y.P. & Huang, G.H., 2013. "Planning carbon emission trading for Beijing's electric power systems under dual uncertainties," Renewable and Sustainable Energy Reviews, Elsevier, vol. 23(C), pages 113-128.
    32. Xiaowei Ma & Mei Wang & Chuandong Li, 2019. "A Summary on Research of Household Energy Consumption: A Bibliometric Analysis," Sustainability, MDPI, vol. 12(1), pages 1-17, December.
    33. Baochen Yang & Chuanze Liu & Zehao Gou & Jiacheng Man & Yunpeng Su, 2018. "How Will Policies of China’s CO 2 ETS Affect its Carbon Price: Evidence from Chinese Pilot Regions," Sustainability, MDPI, vol. 10(3), pages 1-26, February.
    34. Wei Jiang & Jia Liu & Xiang Liu, 2016. "Impact of Carbon Quota Allocation Mechanism on Emissions Trading: An Agent-Based Simulation," Sustainability, MDPI, vol. 8(8), pages 1-13, August.

  186. Yu, Shiwei & Wei, Yi-ming, 2012. "Prediction of China's coal production-environmental pollution based on a hybrid genetic algorithm-system dynamics model," Energy Policy, Elsevier, vol. 42(C), pages 521-529.

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    1. Yu, Shiwei & Zhang, Junjie & Zheng, Shuhong & Sun, Han, 2015. "Provincial carbon intensity abatement potential estimation in China: A PSO–GA-optimized multi-factor environmental learning curve method," Energy Policy, Elsevier, vol. 77(C), pages 46-55.
    2. Zhi-Shuang Zhu & Hua Liao & Huai-Shu Cao & Lu Wang & Yi-Ming Wei & Jinyue Yan, 2012. "The differences of carbon intensity reduction rate across 89 countries in recent three decades," CEEP-BIT Working Papers 38, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
    3. Yu, Shiwei & Zheng, Shuhong & Gao, Shiwei & Yang, Juan, 2017. "A multi-objective decision model for investment in energy savings and emission reductions in coal mining," European Journal of Operational Research, Elsevier, vol. 260(1), pages 335-347.
    4. Wang, Junqi & Cao, Hongjun, 2022. "Improving competitive strategic decisions of Chinese coal companies toward green transformation: A hybrid multi-criteria decision-making model," Resources Policy, Elsevier, vol. 75(C).
    5. Baskoro, Firly Rachmaditya & Takahashi, Katsuhiko & Morikawa, Katsumi & Nagasawa, Keisuke, 2021. "System dynamics approach in determining coal utilization scenario in Indonesia," Resources Policy, Elsevier, vol. 73(C).
    6. Ju Wang & Tongnan Li & Zhuoqiong Li & Chunsheng Fang, 2022. "Study on the Spatial and Temporal Distribution Characteristics and Influencing Factors of Particulate Matter Pollution in Coal Production Cities in China," IJERPH, MDPI, vol. 19(6), pages 1-14, March.
    7. Li, Bing-Bing & Liang, Qiao-Mei & Wang, Jin-Cheng, 2015. "A comparative study on prediction methods for China's medium- and long-term coal demand," Energy, Elsevier, vol. 93(P2), pages 1671-1683.
    8. Wei Zhang & Dong-Sheng Zhang & Li-Xin Wu & Hong-Zhi Wang, 2014. "On-Site Radon Detection of Mining-induced Fractures from Overlying Strata to the Surface: A Case Study of the Baoshan Coal Mine in China," Energies, MDPI, vol. 7(12), pages 1-25, December.
    9. Dongjing Xu & Suping Peng & Shiyao Xiang & Yunlan He, 2017. "A Novel Caving Model of Overburden Strata Movement Induced by Coal Mining," Energies, MDPI, vol. 10(4), pages 1-13, April.
    10. Xiaopeng Guo & Yanan Wei & Jiahai Yuan, 2016. "Will the Steam Coal Price Rebound under the New Economy Normalcy in China?," Energies, MDPI, vol. 9(9), pages 1-13, September.
    11. He, Senyu & Yin, Jianhua & Zhang, Bin & Wang, Zhaohua, 2018. "How to upgrade an enterprise’s low-carbon technologies under a carbon tax: The trade-off between tax and upgrade fee," Applied Energy, Elsevier, vol. 227(C), pages 564-573.
    12. Norhaslinda Zainal Abidin* & Shri Dewi Applanaidu & Mohd Zabid M. Faeid, 2018. "Maximizing Crude Palm Oil Production in Malaysia: A Search for an Optimal Policy Using System Dynamics and Genetic Algorithm Approach," The Journal of Social Sciences Research, Academic Research Publishing Group, pages 878-884:6.
    13. Ye, Li & Dang, Yaoguo & Fang, Liping & Wang, Junjie, 2023. "A nonlinear interactive grey multivariable model based on dynamic compensation for forecasting the economy-energy-environment system," Applied Energy, Elsevier, vol. 331(C).
    14. Shiwei Yu & Yi-Ming Wei & Haixiang Guo & Liping Ding, 2012. "Carbon emission coefficient measurement of the coal-to-power energy chain in China," CEEP-BIT Working Papers 39, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
    15. Yu, Shiwei & Gao, Siwei & sun, Han, 2016. "A dynamic programming model for environmental investment decision-making in coal mining," Applied Energy, Elsevier, vol. 166(C), pages 273-281.
    16. Lijun Wang & Haizhong An & Xiaohua Xia & Xiaojia Liu & Xiaoqi Sun & Xuan Huang, 2014. "Generating Moving Average Trading Rules on the Oil Futures Market with Genetic Algorithms," Mathematical Problems in Engineering, Hindawi, vol. 2014, pages 1-10, May.
    17. Rizqi, Zakka Ugih & Chou, Shuo-Yan & Yu, Tiffany Hui-Kuang, 2023. "Green energy mix modeling under supply uncertainty: Hybrid system dynamics and adaptive PSO approach," Applied Energy, Elsevier, vol. 349(C).
    18. Fulei Shi & Haiqing Cao & Chuansheng Wang & Cuiyou Yao, 2020. "A System Dynamics Model for Ecological Environmental Management in Coal Mining Areas in China," IJERPH, MDPI, vol. 17(6), pages 1-17, March.
    19. Wei Wang & Hualin Xie & Fucai Lu & Xinmin Zhang, 2017. "Measuring the Performance of Industrial Green Development Using a Non-Radial Directional Distance Function Approach: A Case Study of Jiangxi Province in China," Sustainability, MDPI, vol. 9(10), pages 1-17, September.
    20. Li Li & Yalin Lei & Dongyang Pan, 2015. "Economic and environmental evaluation of coal production in China and policy implications," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 77(2), pages 1125-1141, June.
    21. Gerui Li & Yalin Lei & Jianping Ge & Sanmang Wu, 2017. "The Empirical Relationship between Mining Industry Development and Environmental Pollution in China," IJERPH, MDPI, vol. 14(3), pages 1-20, March.

  187. Wang, Ke & Wei, Yi-Ming & Zhang, Xian, 2012. "A comparative analysis of China’s regional energy and emission performance: Which is the better way to deal with undesirable outputs?," Energy Policy, Elsevier, vol. 46(C), pages 574-584.
    See citations under working paper version above.
  188. Huntzinger, D.N. & Post, W.M. & Wei, Y. & Michalak, A.M. & West, T.O. & Jacobson, A.R. & Baker, I.T. & Chen, J.M. & Davis, K.J. & Hayes, D.J. & Hoffman, F.M. & Jain, A.K. & Liu, S. & McGuire, A.D. & N, 2012. "North American Carbon Program (NACP) regional interim synthesis: Terrestrial biospheric model intercomparison," Ecological Modelling, Elsevier, vol. 232(C), pages 144-157.

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    1. Sohl, Terry L. & Wimberly, Michael C. & Radeloff, Volker C. & Theobald, David M. & Sleeter, Benjamin M., 2016. "Divergent projections of future land use in the United States arising from different models and scenarios," Ecological Modelling, Elsevier, vol. 337(C), pages 281-297.
    2. Antonarakis, A.S., 2014. "Uncertainty in initial forest structure and composition when predicting carbon dynamics in a temperate forest," Ecological Modelling, Elsevier, vol. 291(C), pages 134-141.
    3. Xianming Dou & Yongguo Yang & Jinhui Luo, 2018. "Estimating Forest Carbon Fluxes Using Machine Learning Techniques Based on Eddy Covariance Measurements," Sustainability, MDPI, vol. 10(1), pages 1-26, January.
    4. Krishna, Dyvavani K. & Watham, Taibanganba & Padalia, Hitendra & Srinet, Ritika & Nandy, Subrata, 2023. "Improved gross primary productivity estimation using semi empirical (PRELES) model for moist Indian sal forest," Ecological Modelling, Elsevier, vol. 475(C).
    5. Mekonnen, Zelalem A. & Grant, Robert F. & Schwalm, Christopher, 2016. "Sensitivity of modeled NEP to climate forcing and soil at site and regional scales: Implications for upscaling ecosystem models," Ecological Modelling, Elsevier, vol. 320(C), pages 241-257.
    6. Sannigrahi, Srikanta, 2017. "Modeling terrestrial ecosystem productivity of an estuarine ecosystem in the Sundarban Biosphere Region, India using seven ecosystem models," Ecological Modelling, Elsevier, vol. 356(C), pages 73-90.
    7. Schwalm, C.R. & Huntzinger, D.N. & Cook, R.B. & Wei, Y. & Baker, I.T. & Neilson, R.P. & Poulter, B. & Caldwell, Peter & Sun, G. & Tian, H.Q. & Zeng, N., 2015. "How well do terrestrial biosphere models simulate coarse-scale runoff in the contiguous United States?," Ecological Modelling, Elsevier, vol. 303(C), pages 87-96.
    8. Keane, Robert E. & McKenzie, Donald & Falk, Donald A. & Smithwick, Erica A.H. & Miller, Carol & Kellogg, Lara-Karena B., 2015. "Representing climate, disturbance, and vegetation interactions in landscape models," Ecological Modelling, Elsevier, vol. 309, pages 33-47.
    9. Hanqin Tian & Guangsheng Chen & Chaoqun Lu & Xiaofeng Xu & Daniel Hayes & Wei Ren & Shufen Pan & Deborah Huntzinger & Steven Wofsy, 2015. "North American terrestrial CO 2 uptake largely offset by CH 4 and N 2 O emissions: toward a full accounting of the greenhouse gas budget," Climatic Change, Springer, vol. 129(3), pages 413-426, April.
    10. Li, Zhengpeng & Liu, Shuguang & Zhang, Xuesong & West, Tristram O. & Ogle, Stephen M. & Zhou, Naijun, 2016. "Evaluating land cover influences on model uncertainties—A case study of cropland carbon dynamics in the Mid-Continent Intensive Campaign region," Ecological Modelling, Elsevier, vol. 337(C), pages 176-187.
    11. Yan, Hao & Wang, Shao-qiang & Billesbach, Dave & Oechel, Walter & Bohrer, Gil & Meyers, Tilden & Martin, Timothy A. & Matamala, Roser & Phillips, Richard P. & Rahman, Faiz & Yu, Qin & Shugart, Herman , 2015. "Improved global simulations of gross primary product based on a new definition of water stress factor and a separate treatment of C3 and C4 plants," Ecological Modelling, Elsevier, vol. 297(C), pages 42-59.

  189. Yu, Shiwei & Wei, Yi-Ming & Wang, Ke, 2012. "A PSO–GA optimal model to estimate primary energy demand of China," Energy Policy, Elsevier, vol. 42(C), pages 329-340.

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    1. Li, Zheng & Zhou, Bo & Hensher, David A., 2022. "Forecasting automobile gasoline demand in Australia using machine learning-based regression," Energy, Elsevier, vol. 239(PD).
    2. Konstantinos Papageorgiou & Elpiniki I. Papageorgiou & Katarzyna Poczeta & Dionysis Bochtis & George Stamoulis, 2020. "Forecasting of Day-Ahead Natural Gas Consumption Demand in Greece Using Adaptive Neuro-Fuzzy Inference System," Energies, MDPI, vol. 13(9), pages 1-32, May.
    3. Shao, Zhen & Gao, Fei & Zhang, Qiang & Yang, Shan-Lin, 2015. "Multivariate statistical and similarity measure based semiparametric modeling of the probability distribution: A novel approach to the case study of mid-long term electricity consumption forecasting i," Applied Energy, Elsevier, vol. 156(C), pages 502-518.
    4. Wang, Delu & Wang, Yadong & Song, Xuefeng & Liu, Yun, 2018. "Coal overcapacity in China: Multiscale analysis and prediction," Energy Economics, Elsevier, vol. 70(C), pages 244-257.
    5. Yu, Shiwei & Zhang, Junjie & Zheng, Shuhong & Sun, Han, 2015. "Provincial carbon intensity abatement potential estimation in China: A PSO–GA-optimized multi-factor environmental learning curve method," Energy Policy, Elsevier, vol. 77(C), pages 46-55.
    6. Demierre, Jonathan & Bazilian, Morgan & Carbajal, Jonathan & Sherpa, Shaky & Modi, Vijay, 2015. "Potential for regional use of East Africa’s natural gas," Applied Energy, Elsevier, vol. 143(C), pages 414-436.
    7. Dong Liu & Zhihuai Xiao & Hongtao Li & Dong Liu & Xiao Hu & O.P. Malik, 2019. "Accurate Parameter Estimation of a Hydro-Turbine Regulation System Using Adaptive Fuzzy Particle Swarm Optimization," Energies, MDPI, vol. 12(20), pages 1-21, October.
    8. Xin Li & Xiaoqiong He & Xiyu Luo & Xiandan Cui & Minxi Wang, 2020. "Exploring the characteristics and drivers of indirect energy consumption of urban and rural households from a sectoral perspective," Greenhouse Gases: Science and Technology, Blackwell Publishing, vol. 10(5), pages 907-924, October.
    9. Wei Sun & Yujun He & Hong Chang, 2015. "Forecasting Fossil Fuel Energy Consumption for Power Generation Using QHSA-Based LSSVM Model," Energies, MDPI, vol. 8(2), pages 1-21, January.
    10. Askarzadeh, Alireza, 2014. "Comparison of particle swarm optimization and other metaheuristics on electricity demand estimation: A case study of Iran," Energy, Elsevier, vol. 72(C), pages 484-491.
    11. Ma, Weimin & Zhu, Xiaoxi & Wang, Miaomiao, 2013. "Forecasting iron ore import and consumption of China using grey model optimized by particle swarm optimization algorithm," Resources Policy, Elsevier, vol. 38(4), pages 613-620.
    12. Guo Li & Wenling Liu & Zhaohua Wang & Mengqi Liu, 2017. "An empirical examination of energy consumption, behavioral intention, and situational factors: evidence from Beijing," Annals of Operations Research, Springer, vol. 255(1), pages 507-524, August.
    13. Ebrahim, M.A. & Ahmed, M.N. & Ramadan, H.S. & Becherif, M. & Zhao, J., 2021. "Optimal metaheuristic-based sliding mode control of VSC-HVDC transmission systems," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 179(C), pages 178-193.
    14. Xu Tang & Benjamin C. McLellan & Simon Snowden & Baosheng Zhang & Mikael Höök, 2015. "Dilemmas for China: Energy, Economy and Environment," Sustainability, MDPI, vol. 7(5), pages 1-13, May.
    15. Zahraee, S.M. & Khalaji Assadi, M. & Saidur, R., 2016. "Application of Artificial Intelligence Methods for Hybrid Energy System Optimization," Renewable and Sustainable Energy Reviews, Elsevier, vol. 66(C), pages 617-630.
    16. Xi Zhang & Zheng Li & Linwei Ma & Chinhao Chong & Weidou Ni, 2019. "Forecasting the Energy Embodied in Construction Services Based on a Combination of Static and Dynamic Hybrid Input-Output Models," Energies, MDPI, vol. 12(2), pages 1-26, January.
    17. Wu, Zhibin & Xu, Jiuping, 2013. "Predicting and optimization of energy consumption using system dynamics-fuzzy multiple objective programming in world heritage areas," Energy, Elsevier, vol. 49(C), pages 19-31.
    18. Li, Chao & Zhai, Rongrong & Yang, Yongping & Patchigolla, Kumar & Oakey, John E. & Turner, Peter, 2019. "Annual performance analysis and optimization of a solar tower aided coal-fired power plant," Applied Energy, Elsevier, vol. 237(C), pages 440-456.
    19. Zhu, Bangzhu & Wang, Kefan & Julien Chevallier & Ping Wang & Yi-Ming Wei, 2015. "Can China achieve its carbon intensity target by 2020 while sustaining economic growth?," Post-Print hal-02875959, HAL.
    20. Wang, Xiaoyu & Luo, Dongkun & Zhao, Xu & Sun, Zhu, 2018. "Estimates of energy consumption in China using a self-adaptive multi-verse optimizer-based support vector machine with rolling cross-validation," Energy, Elsevier, vol. 152(C), pages 539-548.
    21. Debnath, Kumar Biswajit & Mourshed, Monjur, 2018. "Forecasting methods in energy planning models," Renewable and Sustainable Energy Reviews, Elsevier, vol. 88(C), pages 297-325.
    22. Jianhua Jiang & Xianqiu Meng & Yang Liu & Huan Wang, 2022. "An Enhanced TSA-MLP Model for Identifying Credit Default Problems," SAGE Open, , vol. 12(2), pages 21582440221, April.
    23. Zhen-Yao Chen & R. J. Kuo, 2019. "Combining SOM and evolutionary computation algorithms for RBF neural network training," Journal of Intelligent Manufacturing, Springer, vol. 30(3), pages 1137-1154, March.
    24. Tyralis, Hristos & Karakatsanis, Georgios & Tzouka, Katerina & Mamassis, Nikos, 2017. "Exploratory data analysis of the electrical energy demand in the time domain in Greece," Energy, Elsevier, vol. 134(C), pages 902-918.
    25. Sahraei, Mohammad Ali & Çodur, Merve Kayaci, 2022. "Prediction of transportation energy demand by novel hybrid meta-heuristic ANN," Energy, Elsevier, vol. 249(C).

  190. Ju-Liang Jin & Yi-Ming Wei & Le-Le Zou & Li Liu & Wei-wei Zhang & Yu-liang Zhou, 2012. "Forewarning of sustainable utilization of regional water resources: a model based on BP neural network and set pair analysis," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 62(1), pages 115-127, May.

    Cited by:

    1. Xiao-Hua Yang & Bo-Yang Sun & Jian Zhang & Mei-Shui Li & Jun He & Yi-Ming Wei & Yu-Qi Li, 2016. "Hierarchy evaluation of water resources vulnerability under climate change in Beijing, China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 84(1), pages 63-76, November.
    2. Siyu Gao & Haixiang Guo & Jing Yu, 2021. "Urban Water Inclusive Sustainability: Evidence from 38 Cities in the Yangtze River Economic Belt in China," Sustainability, MDPI, vol. 13(4), pages 1-32, February.
    3. Xinyue Ke & Ni Wang & Long Yu & Zihan Guo & Tianming He, 2023. "Spatial Distribution of Water Risk Based on Atlas Compilation in the Shaanxi Section of the Qinling Mountains, China," Sustainability, MDPI, vol. 15(12), pages 1-21, June.
    4. Jun-Yi Zhang & La-Chun Wang, 2015. "Assessment of water resource security in Chongqing City of China: What has been done and what remains to be done?," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 75(3), pages 2751-2772, February.
    5. Feng, Le & Chen, Bin & Hayat, Tasawar & Alsaedi, Ahmed & Ahmad, Bashir, 2017. "Dynamic forecasting of agricultural water footprint based on Markov Chain-a case study of the Heihe River Basin," Ecological Modelling, Elsevier, vol. 353(C), pages 150-157.

  191. Bin Fang & Chun-Feng Liu & Le- Zou & Yi-Ming Wei, 2012. "The assessment of health impact caused by energy use in urban areas of China: an intake fraction–based analysis," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 62(1), pages 101-114, May.

    Cited by:

    1. Su Liu & Zhijun Yan & Yan Liu & Qiuju Yin & Lini Kuang, 2017. "Association between air pollution and chronic diseases among the elderly in China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 89(1), pages 79-91, October.
    2. Wei-Hua Qu & Ling Xu & Guo-Hua Qu & Zhi-Jun Yan & Jian-Xiu Wang, 2017. "The impact of energy consumption on environment and public health in China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 87(2), pages 675-697, June.
    3. Guanghui Yu & Feifan Wang & Jing Hu & Yan Liao & Xianzhao Liu, 2019. "Value Assessment of Health Losses Caused by PM 2.5 in Changsha City, China," IJERPH, MDPI, vol. 16(11), pages 1-21, June.
    4. Liu, Lei & Wang, Ke & Wang, Shanshan & Zhang, Ruiqin & Tang, Xiaoyan, 2018. "Assessing energy consumption, CO2 and pollutant emissions and health benefits from China's transport sector through 2050," Energy Policy, Elsevier, vol. 116(C), pages 382-396.

  192. Liang, Qiao-Mei & Wei, Yi-Ming, 2012. "Distributional impacts of taxing carbon in China: Results from the CEEPA model," Applied Energy, Elsevier, vol. 92(C), pages 545-551.

    Cited by:

    1. Fang, Guochang & Tian, Lixin & Fu, Min & Sun, Mei, 2013. "The impacts of carbon tax on energy intensity and economic growth – A dynamic evolution analysis on the case of China," Applied Energy, Elsevier, vol. 110(C), pages 17-28.
    2. Liu, Yu & Tan, Xiu-Jie & Yu, Yang & Qi, Shao-Zhou, 2017. "Assessment of impacts of Hubei Pilot emission trading schemes in China – A CGE-analysis using TermCO2 model," Applied Energy, Elsevier, vol. 189(C), pages 762-769.
    3. Tiemei Yan & Tong Zhang & Zhanguo Zhu, 2023. "The Environmental Tax Scheme in China’s Large-Scale Pig Farming: Balancing Economic Burden and Responsibility," Agriculture, MDPI, vol. 13(8), pages 1-20, August.
    4. Alberto Gago & Xavier Labandeira & Xiral López Otero, 2014. "A Panorama on Energy Taxes and Green Tax Reforms," Hacienda Pública Española / Review of Public Economics, IEF, vol. 208(1), pages 145-190, March.
    5. Wen, Shiyan & Jia, Zhijie, 2022. "The energy, environment and economy impact of coal resource tax, renewable investment, and total factor productivity growth," Resources Policy, Elsevier, vol. 77(C).
    6. Yifeng Xie & Haitao Wu & Ruikuan Yao, 2023. "The Impact of Climate Change on the Urban–Rural Income Gap in China," Agriculture, MDPI, vol. 13(9), pages 1-17, August.
    7. Yannis Dafermos & Maria Nikolaidi, 2019. "Fiscal policy and ecological sustainability: A post-Keynesian perspective," Working Papers PKWP1912, Post Keynesian Economics Society (PKES).
    8. Macdonald,Kevin Alan David & Patrinos,Harry Anthony, 2021. "Education Quality, Green Technology, and the Economic Impact of Carbon Pricing," Policy Research Working Paper Series 9808, The World Bank.
    9. Freyre, Alisa & Klinke, Sandra & Patel, Martin K., 2020. "Carbon tax and energy programs for buildings: Rivals or allies?," Energy Policy, Elsevier, vol. 139(C).
    10. Nieddu, Marcello & Bertani, Filippo & Ponta, Linda, 2021. "Sustainability transition and digital trasformation: an agent-based perspective," MPRA Paper 106943, University Library of Munich, Germany.
    11. Qiao-Mei Liang & Qian Wang & Yi-Ming Wei, 2013. "Assessing the Distributional Impacts of Carbon Tax among Households across Different Income Groups: The Case of China," Energy & Environment, , vol. 24(7-8), pages 1323-1346, December.
    12. Pottier, Antonin, 2022. "Expenditure elasticity and income elasticity of GHG emissions: A survey of literature on household carbon footprint," Ecological Economics, Elsevier, vol. 192(C).
    13. Liu, Li-Jing & Liu, Lan-Cui & Liang, Qiao-Mei, 2023. "Restructuring investment to promote a win–win situation for both the economy and the environment in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 182(C).
    14. Fengfan Han & Anqi Ren & Jinxin Liu & Lixingbo Yu & Fei Jia & Haochen Hou & Ying Liu, 2024. "Towards Sustainable Industry: A Comprehensive Review of Energy–Economy–Environment System Analysis and Future Trends," Sustainability, MDPI, vol. 16(12), pages 1-19, June.
    15. Vogt-Schilb, Adrien & Hallegatte, Stephane, 2017. "Climate Policies and Nationally Determined Contributions: Reconciling the Needed Ambition with the Political Economy," IDB Publications (Working Papers) 8317, Inter-American Development Bank.
    16. Andrea Amado & Koji Kotani & Makoto Kakinaka & Shunsuke Managi, 2023. "Carbon tax for cleaner-energy transition: A vignette experiment in Japan," Working Papers SDES-2023-6, Kochi University of Technology, School of Economics and Management, revised Oct 2023.
    17. Wesseh, Presley K. & Lin, Boqiang, 2018. "Optimal carbon taxes for China and implications for power generation, welfare, and the environment," Energy Policy, Elsevier, vol. 118(C), pages 1-8.
    18. Zhao, Jiaxin & Mattauch, Linus, 2021. "When standards have better distributional consequences than carbon taxes," VfS Annual Conference 2021 (Virtual Conference): Climate Economics 242351, Verein für Socialpolitik / German Economic Association.
    19. Julien Lefevre, 2018. "Modeling the Socioeconomic Impacts of the Adoption of a Carbon Pricing Instrument – Literature review," Working Papers hal-03128619, HAL.
    20. Tian, Xu & Dai, Hancheng & Geng, Yong & Huang, Zhen & Masui, Toshihiko & Fujita, Tsuyoshi, 2017. "The effects of carbon reduction on sectoral competitiveness in China: A case of Shanghai," Applied Energy, Elsevier, vol. 197(C), pages 270-278.
    21. Johansson, Daniel J. A. & Lucas, Paul L. & Weitzel, Matthias & Ahlgren, Erik O. & Bazaz, A. B. & Chen, Wenying & den Elzen, Michel G. J. & Ghosh, Joydeep & Grahn, Maria & Liang, Qiao-Mei & Peterson, S, 2012. "Multi-model analyses of the economic and energy implications for China and India in a post-Kyoto climate regime," Kiel Working Papers 1808, Kiel Institute for the World Economy (IfW Kiel).
    22. Marek Antosiewicz & Rodrigo Fuentes & Piotr Lewandowski & Jan Witajewski-Baltvilks, 2020. "Distributional effects of emission pricing in a carbon-intensive economy: the case of Poland," IBS Working Papers 07/2020, Instytut Badan Strukturalnych.
    23. Cyril Bourgeois & Louis-Gaëtan Giraudet & Philippe Quirion, 2021. "Lump-sum vs. energy-efficiency subsidy recycling of carbon tax revenue in the residential sector: A French assessment [Recyclage des revenus de la taxe carbone en paiements forfaitaires vs. subvent," Post-Print hal-02073964, HAL.
    24. Zhang, Shuwei & Bauer, Nico & Luderer, Gunnar & Kriegler, Elmar, 2014. "Role of technologies in energy-related CO2 mitigation in China within a climate-protection world: A scenarios analysis using REMIND," Applied Energy, Elsevier, vol. 115(C), pages 445-455.
    25. Yannis Dafermos & Maria Nikolaidi, 2019. "Fiscal policy and ecological sustainability," FMM Working Paper 52-2019, IMK at the Hans Boeckler Foundation, Macroeconomic Policy Institute.
    26. Anping Chen & Nicolaas Groenewold, 2012. "The Regional Economic Effects of a Reduction in Carbon Emissions and An Evaluation of Offsetting Policies in China," Economics Discussion / Working Papers 12-14, The University of Western Australia, Department of Economics.
    27. Wesseh, Presley K. & Lin, Boqiang, 2016. "Modeling environmental policy with and without abatement substitution: A tradeoff between economics and environment?," Applied Energy, Elsevier, vol. 167(C), pages 34-43.
    28. You-Yi Guo & Jin-Xu Lin & Shih-Mo Lin, 2022. "The Distribution Effects of a Carbon Tax on Urban and Rural Households in China," Sustainability, MDPI, vol. 14(13), pages 1-15, June.
    29. Zhang, Kun & Xue, Mei-Mei & Feng, Kuishuang & Liang, Qiao-Mei, 2019. "The economic effects of carbon tax on China’s provinces," Journal of Policy Modeling, Elsevier, vol. 41(4), pages 784-802.
    30. Wei Chen & Jin-Feng Zhou & Shi-Yu Li & Yao-Chu Li, 2017. "Effects of an Energy Tax (Carbon Tax) on Energy Saving and Emission Reduction in Guangdong Province-Based on a CGE Model," Sustainability, MDPI, vol. 9(5), pages 1-24, April.
    31. Jiang, Hong-Dian & Pradhan, Basanta K. & Dong, Kangyin & Yu, Yan-Yan & Liang, Qiao-Mei, 2024. "An economy-wide impacts of multiple mitigation pathways toward carbon neutrality in China: A CGE-based analysis," Energy Economics, Elsevier, vol. 129(C).
    32. Wang, Qian & Hubacek, Klaus & Feng, Kuishuang & Guo, Lin & Zhang, Kun & Xue, Jinjun & Liang, Qiao-Mei, 2019. "Distributional impact of carbon pricing in Chinese provinces," Energy Economics, Elsevier, vol. 81(C), pages 327-340.
    33. Pegels, Anna, 2016. "Taxing carbon as an instrument of green industrial policy in developing countries," IDOS Discussion Papers 23/2016, German Institute of Development and Sustainability (IDOS).
    34. Liao, Hua & Du, Jian & Wei, Yi-Ming, 2013. "Energy conservation in China: Key provincial sectors at two-digit level," Applied Energy, Elsevier, vol. 104(C), pages 457-465.
    35. Wang, Qian & Hubacek, Klaus & Feng, Kuishuang & Wei, Yi-Ming & Liang, Qiao-Mei, 2016. "Distributional effects of carbon taxation," Applied Energy, Elsevier, vol. 184(C), pages 1123-1131.
    36. Wu, T. & Thomassin, P.J., 2018. "The Impact of Carbon Tax on Food Prices and Consumption in Canada," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 275913, International Association of Agricultural Economists.
    37. Heindl, Peter & Löschel, Andreas, 2015. "Social implications of green growth policies from the perspective of energy sector reform and its impact on households," ZEW Discussion Papers 15-012, ZEW - Leibniz Centre for European Economic Research.
    38. Hao Yu & Bing Wang & Yue-Jun Zhang & Yi-Ming Wei, 2013. "Public perception of climate change in China: Results from the questionnaire survey," CEEP-BIT Working Papers 42, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
    39. Xiangsheng Dou, 2017. "Low Carbon Technology Innovation, Carbon Emissions Trading and Relevant Policy Support for China s Low Carbon Economy Development," International Journal of Energy Economics and Policy, Econjournals, vol. 7(2), pages 172-184.
    40. Zhang, Zengkai & Zhu, Kunfu, 2017. "Border carbon adjustments for exports of the United States and the European Union: Taking border-crossing frequency into account," Applied Energy, Elsevier, vol. 201(C), pages 188-199.
    41. Tram T.H. Nguyen and Wonho Song, 2021. "Carbon Pricing and Income Inequality: An Empirical Investigation," Journal of Economic Development, Chung-Ang Unviersity, Department of Economics, vol. 46(2), pages 155-182, June.
    42. Jing-Li Fan & Qiao-Mei Liang & Xiao-Jie Liang & Hirokazu Tatano & Yoshio Kajitani & Yi-Ming Wei, 2014. "National vulnerability to extreme climatic events: the cases of electricity disruption in China and Japan," CEEP-BIT Working Papers 59, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
    43. Assaad Ghazouani & Wanjun Xia & Mehdi Ben Jebli & Umer Shahzad, 2020. "Exploring the Role of Carbon Taxation Policies on CO 2 Emissions: Contextual Evidence from Tax Implementation and Non-Implementation European Countries," Sustainability, MDPI, vol. 12(20), pages 1-16, October.
    44. Yi-Ming Wei & Zhi-Fu Mi & Zhiming Huang, 2014. "Climate policy modeling: An online SCI-E and SSCI based literature review," CEEP-BIT Working Papers 58, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
    45. Qian Wang & Qiao-Mei Liang & Bing Wang & Fang-Xun Zhong, 2016. "Impact of household expenditures on CO2 emissions in China: Income-determined or lifestyle-driven?," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 84(1), pages 353-379, November.
    46. Fujimori, Shinichiro & Masui, Toshihiko & Matsuoka, Yuzuru, 2014. "Development of a global computable general equilibrium model coupled with detailed energy end-use technology," Applied Energy, Elsevier, vol. 128(C), pages 296-306.
    47. Zhang, Kun & Wang, Qian & Liang, Qiao-Mei & Chen, Hao, 2016. "A bibliometric analysis of research on carbon tax from 1989 to 2014," Renewable and Sustainable Energy Reviews, Elsevier, vol. 58(C), pages 297-310.
    48. Tang, Bao-Jun & Wang, Xiang-Yu & Wei, Yi-Ming, 2019. "Quantities versus prices for best social welfare in carbon reduction: A literature review," Applied Energy, Elsevier, vol. 233, pages 554-564.
    49. Anping Chen & Nicolaas Groenewold, 2013. "Regional Effects in China of an Emissions-Reduction Policy: Tax v. Subsidy," ERSA conference papers ersa13p1275, European Regional Science Association.
    50. Chen, Anping & Groenewold, Nicolaas, 2015. "Emission reduction policy: A regional economic analysis for China," Economic Modelling, Elsevier, vol. 51(C), pages 136-152.
    51. Alton, Theresa & Arndt, Channing & Davies, Rob & Hartley, Faaiqa & Makrelov, Konstantin & Thurlow, James & Ubogu, Dumebi, 2014. "Introducing carbon taxes in South Africa," Applied Energy, Elsevier, vol. 116(C), pages 344-354.
    52. Luo, Xiaohu & Caron, Justin & Karplus, Valerie J. & Zhang, Da & Zhang, Xiliang, 2016. "Interprovincial migration and the stringency of energy policy in China," Energy Economics, Elsevier, vol. 58(C), pages 164-173.
    53. Su, Bin & Ang, B.W., 2014. "Input–output analysis of CO2 emissions embodied in trade: A multi-region model for China," Applied Energy, Elsevier, vol. 114(C), pages 377-384.
    54. Zhang, Da & Rausch, Sebastian & Karplus, Valerie J. & Zhang, Xiliang, 2013. "Quantifying regional economic impacts of CO2 intensity targets in China," Energy Economics, Elsevier, vol. 40(C), pages 687-701.
    55. Liu, Yu & Lu, Yingying, 2015. "The Economic impact of different carbon tax revenue recycling schemes in China: A model-based scenario analysis," Applied Energy, Elsevier, vol. 141(C), pages 96-105.
    56. Daniel Johansson & Paul Lucas & Matthias Weitzel & Erik Ahlgren & A. Bazaz & Wenying Chen & Michel Elzen & Joydeep Ghosh & Maria Grahn & Qiao-Mei Liang & Sonja Peterson & Basanta Pradhan & Bas Ruijven, 2015. "Multi-model comparison of the economic and energy implications for China and India in an international climate regime," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 20(8), pages 1335-1359, December.
    57. Zhang, Kun & Yao, Yun-Fei & Liang, Qiao-Mei & Saren, Gaowa, 2021. "How should China prioritize the deregulation of electricity prices in the context of carbon pricing? A computable general equilibrium analysis," Energy Economics, Elsevier, vol. 96(C).
    58. Dong, Huijuan & Dai, Hancheng & Geng, Yong & Fujita, Tsuyoshi & Liu, Zhe & Xie, Yang & Wu, Rui & Fujii, Minoru & Masui, Toshihiko & Tang, Liang, 2017. "Exploring impact of carbon tax on China’s CO2 reductions and provincial disparities," Renewable and Sustainable Energy Reviews, Elsevier, vol. 77(C), pages 596-603.
    59. Munguía-López, Aurora del Carmen & González-Bravo, Ramón & Ponce-Ortega, José María, 2019. "Evaluation of carbon and water policies in the optimization of water distribution networks involving power-desalination plants," Applied Energy, Elsevier, vol. 236(C), pages 927-936.
    60. Yang, Mian & Fan, Ying & Yang, Fuxia & Hu, Hui, 2014. "Regional disparities in carbon dioxide reduction from China's uniform carbon tax: A perspective on interfactor/interfuel substitution," Energy, Elsevier, vol. 74(C), pages 131-139.
    61. Yun-Fei Yao & Qiao-Mei Liang, 2016. "Approaches to carbon allowance allocation in China: a computable general equilibrium analysis," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 84(1), pages 333-351, November.
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    64. Monica Laura Zlati & Romeo-Victor Ionescu & Valentin Marian Antohi, 2021. "Impact Study on Social Accounting Matrix by Intrabusiness Analysis," IJERPH, MDPI, vol. 18(23), pages 1-22, November.
    65. Coilín ÓhAiseadha & Gerré Quinn & Ronan Connolly & Michael Connolly & Willie Soon, 2020. "Energy and Climate Policy—An Evaluation of Global Climate Change Expenditure 2011–2018," Energies, MDPI, vol. 13(18), pages 1-49, September.
    66. Curtis, John & Tovar, Miguel Angel & Grilli, Gianluca, 2020. "Access to and consumption of natural gas: Spatial and socio-demographic drivers," Energy Policy, Elsevier, vol. 143(C).
    67. Mei-Mei Xue & Gang Wu & Qian Wang & Yun-Fei Yao & Qiao-Mei Liang, 2019. "Socioeconomic impacts of a shortage in imported oil supply: case of China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 99(3), pages 1415-1430, December.
    68. Qian Wang & Qiao-Mei Liang, 2015. "Will a carbon tax hinder China’s efforts to improve its primary income distribution status?," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 20(8), pages 1407-1436, December.
    69. Qiao-Mei Liang & Yun-Fei Yao & Lu-Tao Zhao & Ce Wang & Rui-Guang Yang & Yi-Ming Wei, 2013. "Platform for China Energy & Environmental Policy Analysis: A general design and its application," CEEP-BIT Working Papers 43, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
    70. Zhang, Qishi & Li, Bo & Liu, Jing-Yu & Deng, Yizhi & Zhang, Runsen & Wu, Wenchao & Geng, Yong, 2024. "Assessing the distributional impacts of ambitious carbon pricing in China's agricultural sector," Ecological Economics, Elsevier, vol. 217(C).
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    2. Xuankai Deng & Yanhua Yu & Yanfang Liu, 2015. "Temporal and Spatial Variations in Provincial CO 2 Emissions in China from 2005 to 2015 and Assessment of a Reduction Plan," Energies, MDPI, vol. 8(5), pages 1-23, May.
    3. Ni, Jinlan & Wei, Chu & Du, Limin, 2015. "Revealing the political decision toward Chinese carbon abatement: Based on equity and efficiency criteria," Energy Economics, Elsevier, vol. 51(C), pages 609-621.
    4. Ke Wang & Xian Zhang & Yi-Ming Wei & Shiwei Yu, 2011. "Regional allocation of CO2 emissions allowance over provinces in China by 2020," CEEP-BIT Working Papers 18, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
    5. Hao, Yu & Liao, Hua & Wei, Yi-Ming, 2015. "Is China’s carbon reduction target allocation reasonable? An analysis based on carbon intensity convergence," Applied Energy, Elsevier, vol. 142(C), pages 229-239.
    6. Liu, Lingxuan & Zhang, Bing & Bi, Jun & Wei, Qi & He, Pan, 2012. "The greenhouse gas mitigation of industrial parks in China: A case study of Suzhou Industrial Park," Energy Policy, Elsevier, vol. 46(C), pages 301-307.
    7. Zhou, P. & Wang, M., 2016. "Carbon dioxide emissions allocation: A review," Ecological Economics, Elsevier, vol. 125(C), pages 47-59.
    8. Jiekun Song & Rui Chen & Xiaoping Ma, 2021. "Collaborative Allocation of Energy Consumption, Air Pollutants and CO 2 Emissions in China," Sustainability, MDPI, vol. 13(16), pages 1-17, August.
    9. Yu, Shiwei & Wei, Yi-Ming & Wang, Ke, 2014. "Provincial allocation of carbon emission reduction targets in China: An approach based on improved fuzzy cluster and Shapley value decomposition," Energy Policy, Elsevier, vol. 66(C), pages 630-644.
    10. Tang, Weiqi & Wu, Libo, 2013. "Efficiency or Equity? Simulating the Carbon Emission Permits Trading Schemes in China Based on an Inter-Regional CGE Model," Conference papers 332325, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    11. Bao-Jun Tang & Yu-Jie Hu, 2019. "How to Allocate the Allowance for the Aviation Industry in China’s Emissions Trading System," Sustainability, MDPI, vol. 11(9), pages 1-18, May.
    12. Rodríguez, Miguel, 2022. "Why do many prospective analyses of CO2 emissions fail? An illustrative example from China," Energy, Elsevier, vol. 244(PB).
    13. Ping Wang & Bangzhu Zhu, 2016. "Estimating the Contribution of Industry Structure Adjustment to the Carbon Intensity Target: A Case of Guangdong," Sustainability, MDPI, vol. 8(4), pages 1-11, April.
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    15. Zhu, Bangzhu & Ye, Shunxin & Jiang, Minxing & Wang, Ping & Wu, Zhanchi & Xie, Rui & Chevallier, Julien & Wei, Yi-Ming, 2019. "Achieving the carbon intensity target of China: A least squares support vector machine with mixture kernel function approach," Applied Energy, Elsevier, vol. 233, pages 196-207.
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  199. Yue-Jun Zhang & Yi-Ming Wei, 2011. "The dynamic influence of advanced stock market risk on international crude oil returns: an empirical analysis," Quantitative Finance, Taylor & Francis Journals, vol. 11(7), pages 967-978.

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    1. Chen, Shiu-Sheng, 2013. "Forecasting Crude Oil Price Movements with Oil-Sensitive Stocks," MPRA Paper 49240, University Library of Munich, Germany.
    2. Ding, Zhihua & Liu, Zhenhua & Zhang, Yuejun & Long, Ruyin, 2017. "The contagion effect of international crude oil price fluctuations on Chinese stock market investor sentiment," Applied Energy, Elsevier, vol. 187(C), pages 27-36.
    3. Chiroma, Haruna & Abdulkareem, Sameem & Herawan, Tutut, 2015. "Evolutionary Neural Network model for West Texas Intermediate crude oil price prediction," Applied Energy, Elsevier, vol. 142(C), pages 266-273.
    4. Zhang, Yue-Jun & Yao, Ting, 2016. "Interpreting the movement of oil prices: Driven by fundamentals or bubbles?," Economic Modelling, Elsevier, vol. 55(C), pages 226-240.
    5. Hongtao Chen & Lianghua Chen, 2015. "Multifractal spectrum analysis of Brent crude oil futures prices volatility in intercontinental exchange," International Journal of Global Energy Issues, Inderscience Enterprises Ltd, vol. 38(1/2/3), pages 93-108.
    6. Monge, Manuel & Cristóbal, Enrique, 2021. "Terrorism and the behavior of oil production and prices in OPEC," Resources Policy, Elsevier, vol. 74(C).
    7. Zhang, Yue-Jun & Wang, Jin-Li, 2019. "Do high-frequency stock market data help forecast crude oil prices? Evidence from the MIDAS models," Energy Economics, Elsevier, vol. 78(C), pages 192-201.
    8. Ghassan, Hassan Belkacem & AlHajhoj, Hassan Rafdan, 2016. "Long run dynamic volatilities between OPEC and non-OPEC crude oil prices," Applied Energy, Elsevier, vol. 169(C), pages 384-394.
    9. Zhang, Yue-Jun, 2013. "Speculative trading and WTI crude oil futures price movement: An empirical analysis," Applied Energy, Elsevier, vol. 107(C), pages 394-402.
    10. Phan, Dinh Hoang Bach & Narayan, Paresh Kumar & Gong, Qiang, 2021. "Terrorist attacks and oil prices: Hypothesis and empirical evidence," International Review of Financial Analysis, Elsevier, vol. 74(C).
    11. Huang, Lili & Wang, Jun, 2018. "Global crude oil price prediction and synchronization based accuracy evaluation using random wavelet neural network," Energy, Elsevier, vol. 151(C), pages 875-888.
    12. Li, Su-Fang & Zhu, Hui-Ming & Yu, Keming, 2012. "Oil prices and stock market in China: A sector analysis using panel cointegration with multiple breaks," Energy Economics, Elsevier, vol. 34(6), pages 1951-1958.
    13. Zhi-Fu Mi & Yi-Ming Wei & Bao-Jun Tang & Rong-Gang Cong & Hao Yu & Hong Cao & Dabo Guan, 2017. "Risk assessment of oil price from static and dynamic modelling approaches," CEEP-BIT Working Papers 102, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
    14. Zhang, Yue-Jun & Chevallier, Julien & Guesmi, Khaled, 2017. "“De-financialization” of commodities? Evidence from stock, crude oil and natural gas markets," Energy Economics, Elsevier, vol. 68(C), pages 228-239.
    15. Wu, Gang & Zhang, Yue-Jun, 2014. "Does China factor matter? An econometric analysis of international crude oil prices," Energy Policy, Elsevier, vol. 72(C), pages 78-86.
    16. Gong, Xue & Ye, Xin & Zhang, Weiguo & Zhang, Yue, 2023. "Predicting energy futures high-frequency volatility using technical indicators: The role of interaction," Energy Economics, Elsevier, vol. 119(C).
    17. Zhenhua Liu & Zhihua Ding & Rui Li & Xin Jiang & JyS. Wu & Tao Lv, 2017. "Research on differences of spillover effects between international crude oil price and stock markets in China and America," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 88(1), pages 575-590, August.
    18. Zhang, Jin-Liang & Zhang, Yue-Jun & Zhang, Lu, 2015. "A novel hybrid method for crude oil price forecasting," Energy Economics, Elsevier, vol. 49(C), pages 649-659.
    19. Bouri, Elie & Chen, Qian & Lien, Donald & Lv, Xin, 2017. "Causality between oil prices and the stock market in China: The relevance of the reformed oil product pricing mechanism," International Review of Economics & Finance, Elsevier, vol. 48(C), pages 34-48.
    20. Wang, Bin & Wang, Jun, 2020. "Energy futures and spots prices forecasting by hybrid SW-GRU with EMD and error evaluation," Energy Economics, Elsevier, vol. 90(C).
    21. Zhang, Yue-Jun & Ma, Shu-Jiao, 2019. "How to effectively estimate the time-varying risk spillover between crude oil and stock markets? Evidence from the expectile perspective," Energy Economics, Elsevier, vol. 84(C).
    22. Kakade, Kshitij & Jain, Ishan & Mishra, Aswini Kumar, 2022. "Value-at-Risk forecasting: A hybrid ensemble learning GARCH-LSTM based approach," Resources Policy, Elsevier, vol. 78(C).
    23. Zhan-Ming Chen & Liyuan Wang & Xiao-Bing Zhang & Xinye Zheng, 2019. "The Co-Movement and Asymmetry between Energy and Grain Prices: Evidence from the Crude Oil and Corn Markets," Energies, MDPI, vol. 12(7), pages 1-18, April.
    24. Arash Sioofy Khoojine & Mahboubeh Shadabfar & Yousef Edrisi Tabriz, 2022. "A Mutual Information-Based Network Autoregressive Model for Crude Oil Price Forecasting Using Open-High-Low-Close Prices," Mathematics, MDPI, vol. 10(17), pages 1-20, September.
    25. Chen, Yanhui & Zhang, Chuan & He, Kaijian & Zheng, Aibing, 2018. "Multi-step-ahead crude oil price forecasting using a hybrid grey wave model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 501(C), pages 98-110.
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    27. Mensi, Walid & Rehman, Mobeen Ur & Al-Yahyaee, Khamis Hamed & Vo, Xuan Vinh, 2023. "Frequency dependence between oil futures and international stock markets and the role of gold, bonds, and uncertainty indices: Evidence from partial and multivariate wavelet approaches," Resources Policy, Elsevier, vol. 80(C).
    28. Yue-Jun Zhang & Shu-Hui Li, 2019. "The impact of investor sentiment on crude oil market risks: evidence from the wavelet approach," Quantitative Finance, Taylor & Francis Journals, vol. 19(8), pages 1357-1371, August.
    29. Zhu, Huiming & Huang, Hui & Peng, Cheng & Yang, Yan, 2016. "Extreme dependence between crude oil and stock markets in Asia-Pacific regions: Evidence from quantile regression," Economics Discussion Papers 2016-46, Kiel Institute for the World Economy (IfW Kiel).

  200. Feng, Zhen-Hua & Zou, Le-Le & Wei, Yi-Ming, 2011. "Carbon price volatility: Evidence from EU ETS," Applied Energy, Elsevier, vol. 88(3), pages 590-598, March.
    See citations under working paper version above.
  201. Zhen-Hua Feng & Chun-Feng Liu & Yi-Ming Wei, 2011. "How does carbon price change? Evidences from EU ETS," International Journal of Global Energy Issues, Inderscience Enterprises Ltd, vol. 35(2/3/4), pages 132-144.
    See citations under working paper version above.
  202. Zhang, Yue-Jun & Wei, Yi-Ming, 2010. "The crude oil market and the gold market: Evidence for cointegration, causality and price discovery," Resources Policy, Elsevier, vol. 35(3), pages 168-177, September.
    See citations under working paper version above.
  203. Guo, Jie & Zou, Le-Le & Wei, Yi-Ming, 2010. "Impact of inter-sectoral trade on national and global CO2 emissions: An empirical analysis of China and US," Energy Policy, Elsevier, vol. 38(3), pages 1389-1397, March.

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    1. Zhang, Wei & Yang, Jun & Sheng, Pengfei & Li, Xuesong & Wang, Xingwu, 2014. "Potential cooperation in renewable energy between China and the United States of America," Energy Policy, Elsevier, vol. 75(C), pages 403-409.
    2. Li, Yilin & Chen, Bin & Li, Chaohui & Li, Zhi & Chen, Guoqian, 2020. "Energy perspective of Sino-US trade imbalance in global supply chains," Energy Economics, Elsevier, vol. 92(C).
    3. Zhi-Shuang Zhu & Hua Liao & Huai-Shu Cao & Lu Wang & Yi-Ming Wei & Jinyue Yan, 2012. "The differences of carbon intensity reduction rate across 89 countries in recent three decades," CEEP-BIT Working Papers 38, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
    4. Huang, Rui & Chen, Guangwu & Lv, Guonian & Malik, Arunima & Shi, Xunpeng & Xie, Xiaotian, 2020. "The effect of technology spillover on CO2 emissions embodied in China-Australia trade," Energy Policy, Elsevier, vol. 144(C).
    5. Jayanthakumaran, Kankesu & Liu, Ying, 2016. "Bi-lateral CO2 emissions embodied in Australia–China trade," Energy Policy, Elsevier, vol. 92(C), pages 205-213.
    6. Yang, Ranran & Long, Ruyin & Yue, Ting & Shi, Haihong, 2014. "Calculation of embodied energy in Sino-USA trade: 1997–2011," Energy Policy, Elsevier, vol. 72(C), pages 110-119.
    7. Ajayi, Patricia & Ogunrinola, Adedeji, 2020. "Growth, Trade Openness and Environmental Degradation in Nigeria," MPRA Paper 100713, University Library of Munich, Germany.
    8. Andersson, Fredrik N.G. & Karpestam, Peter, 2013. "CO2 emissions and economic activity: Short- and long-run economic determinants of scale, energy intensity and carbon intensity," Energy Policy, Elsevier, vol. 61(C), pages 1285-1294.
    9. Zhang, Bo & Chen, G.Q., 2010. "Methane emissions by Chinese economy: Inventory and embodiment analysis," Energy Policy, Elsevier, vol. 38(8), pages 4304-4316, August.
    10. Fozia Latif Gill & K Kuperan Viswanathan & Mohd Zaini Abdul Karim, 2018. "The Critical Review of the Pollution Haven Hypothesis (PHH)," International Journal of Energy Economics and Policy, Econjournals, vol. 8(1), pages 167-174.
    11. Mizgajski Jan T., 2012. "The Impact of Polish-German Trade Flows on CO2 Emissions," Folia Oeconomica Stetinensia, Sciendo, vol. 11(1), pages 152-164, January.
    12. Xu, Dongxiao & Li, Yaoguang & Zhao, Mingyuan & Wang, Xinjing & Zhang, Yan & Chen, Bin & Yang, Zhifeng, 2022. "Spatial characteristics analysis of sectoral carbon transfer path in international trade: A comparison of the United States and China," Applied Energy, Elsevier, vol. 323(C).
    13. Guo, Ju’e & Zhang, Zengkai & Meng, Lei, 2012. "China’s provincial CO2 emissions embodied in international and interprovincial trade," Energy Policy, Elsevier, vol. 42(C), pages 486-497.
    14. Yuhuan Zhao & Song Wang & Jiaqin Yang & Zhonghua Zhang & Ya Liu, 2016. "Input-output analysis of carbon emissions embodied in China-Japan trade," Applied Economics, Taylor & Francis Journals, vol. 48(16), pages 1515-1529, April.
    15. Ding, Tao & Ning, Yadong & Zhang, Yan, 2018. "The contribution of China’s bilateral trade to global carbon emissions in the context of globalization," Structural Change and Economic Dynamics, Elsevier, vol. 46(C), pages 78-88.
    16. Jiajia Li & Abbas Ali Chandio & Yucong Liu, 2020. "Trade Impacts on Embodied Carbon Emissions—Evidence from the Bilateral Trade between China and Germany," IJERPH, MDPI, vol. 17(14), pages 1-19, July.
    17. Jing-Li Fan & Qian Wang & Shiwei Yu & Yun-Bing Hou & Yi-Ming Wei, 2017. "The evolution of CO2 emissions in international trade for major economies: a perspective from the global supply chain," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 22(8), pages 1229-1248, December.
    18. Chen, G.Q. & Chen, Z.M., 2011. "Greenhouse gas emissions and natural resources use by the world economy: Ecological input–output modeling," Ecological Modelling, Elsevier, vol. 222(14), pages 2362-2376.
    19. Tao Ding & Yadong Ning & Yan Zhang, 2017. "The Contribution of China’s Outward Foreign Direct Investment (OFDI) to the Reduction of Global CO 2 Emissions," Sustainability, MDPI, vol. 9(5), pages 1-15, May.
    20. Zhang, Zhonghua & Zhao, Yuhuan & Su, Bin & Zhang, Yongfeng & Wang, Song & Liu, Ya & Li, Hao, 2017. "Embodied carbon in China’s foreign trade: An online SCI-E and SSCI based literature review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 68(P1), pages 492-510.
    21. Satoshi Nakano & Sonoe Arai & Ayu Washizu, 2017. "Economic impacts of Japan’s renewable energy sector and the feed-in tariff system: using an input–output table to analyze a next-generation energy system," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 19(3), pages 555-580, July.
    22. Halkos, George, 2018. "Advances in Green Economy and Sustainability: Introduction," MPRA Paper 86534, University Library of Munich, Germany.
    23. Weitzel, Matthias & Tao, Ma, 2013. "Emissions embodied in Chinese exports taking into account the special export structure of China," Kiel Working Papers 1885, Kiel Institute for the World Economy (IfW Kiel).
    24. Yuting Dang & Yating Song & Muhammad Mohiuddin & Dan Sheng, 2022. "Towards Cleaner Production Ecosystem: An Analysis of Embodied Industrial Pollution in International Trade of China’s Processing versus Normal Exports," IJERPH, MDPI, vol. 19(16), pages 1-21, August.
    25. Du, Huibin & Guo, Jianghong & Mao, Guozhu & Smith, Alexander M. & Wang, Xuxu & Wang, Yuan, 2011. "CO2 emissions embodied in China-US trade: Input-output analysis based on the emergy/dollar ratio," Energy Policy, Elsevier, vol. 39(10), pages 5980-5987, October.
    26. Suvajit Banerjee, 2019. "Addressing the Drivers of Carbon Emissions Embodied in Indian Exports: An Index Decomposition Analysis," Foreign Trade Review, , vol. 54(4), pages 300-333, November.
    27. Balsalobre-Lorente, Daniel & Shahbaz, Muhammad & Roubaud, David & Farhani, Sahbi, 2018. "How economic growth, renewable electricity and natural resources contribute to CO2 emissions?," Energy Policy, Elsevier, vol. 113(C), pages 356-367.
    28. Ertugrul, Hasan Murat & Çetin, Murat & Şeker, Fahri & Dogan, Eyüp, 2015. "The impact of trade openness on global carbon dioxide emissions: Evidence from the top ten emitters among developing countries," MPRA Paper 97539, University Library of Munich, Germany, revised 10 Mar 2016.
    29. Suvajit Banerjee, 2021. "Addressing the carbon emissions embodied in India’s bilateral trade with two eminent Annex-II parties: with input–output and spatial decomposition analysis," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(4), pages 5430-5464, April.
    30. Fumei He & Ke-Chiun Chang & Min Li & Xueping Li & Fangjhy Li, 2020. "Bootstrap ARDL Test on the Relationship among Trade, FDI, and CO 2 Emissions: Based on the Experience of BRICS Countries," Sustainability, MDPI, vol. 12(3), pages 1-23, February.
    31. Su, Bin & Ang, B.W., 2013. "Input–output analysis of CO2 emissions embodied in trade: Competitive versus non-competitive imports," Energy Policy, Elsevier, vol. 56(C), pages 83-87.
    32. Zhong, Zhangqi & Jiang, Lei & Zhou, Peng, 2018. "Transnational transfer of carbon emissions embodied in trade: Characteristics and determinants from a spatial perspective," Energy, Elsevier, vol. 147(C), pages 858-875.
    33. Meng, Lei & Guo, Ju'e & Chai, Jian & Zhang, Zengkai, 2011. "China's regional CO2 emissions: Characteristics, inter-regional transfer and emission reduction policies," Energy Policy, Elsevier, vol. 39(10), pages 6136-6144, October.
    34. Jinhua Shao & Brayan Tillaguango & Rafael Alvarado & Santiago Ochoa-Moreno & Johanna Alvarado-Espejo, 2021. "Environmental Impact of the Shadow Economy, Globalisation, Trade and Market Size: Evidence Using Linear and Non-Linear Methods," Sustainability, MDPI, vol. 13(12), pages 1-20, June.
    35. Chen, G.Q. & Zhang, Bo, 2010. "Greenhouse gas emissions in China 2007: Inventory and input-output analysis," Energy Policy, Elsevier, vol. 38(10), pages 6180-6193, October.
    36. Juan Du & Yuan Liu & Shanna Luo & Xin Luo, 2024. "A Study on the Trade Efficiency and Potential of China’s Agricultural Products Export to Association of South East Asian Nations Countries: Empirical Analysis Based on Segmented Products," Agriculture, MDPI, vol. 14(8), pages 1-16, August.
    37. Chen, Zhan-Ming, 2014. "Inflationary effect of coal price change on the Chinese economy," Applied Energy, Elsevier, vol. 114(C), pages 301-309.
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    1. Wang, Xiaofei & Liu, Chuangeng & Chen, Shaojie & Chen, Lei & Li, Ke & Liu, Na, 2020. "Impact of coal sector’s de-capacity policy on coal price," Applied Energy, Elsevier, vol. 265(C).
    2. Lijing Zhang & Shuke Fu & Jiali Tian & Jiachao Peng, 2022. "A Review of Energy Industry Chain and Energy Supply Chain," Energies, MDPI, vol. 15(23), pages 1-21, December.
    3. Liu, Ming-Hua & Margaritis, Dimitris & Zhang, Yang, 2013. "Market-driven coal prices and state-administered electricity prices in China," Energy Economics, Elsevier, vol. 40(C), pages 167-175.
    4. Hongjun Peng & Tao Pang & Fuliang Cao & Juan Zhao, 2018. "A Mutual Subsidy Mechanism for a Seasonal Product Supply Chain Channel Under Double Price Regulation," Asia-Pacific Journal of Operational Research (APJOR), World Scientific Publishing Co. Pte. Ltd., vol. 35(06), pages 1-26, December.
    5. Fan, Xinghua & Wang, Li & Li, Shasha, 2016. "Predicting chaotic coal prices using a multi-layer perceptron network model," Resources Policy, Elsevier, vol. 50(C), pages 86-92.
    6. Cui, Herui & Wei, Pengbang, 2017. "Analysis of thermal coal pricing and the coal price distortion in China from the perspective of market forces," Energy Policy, Elsevier, vol. 106(C), pages 148-154.
    7. Zhu, Yanlei & Song, Yan & Yuan, Jiahai, 2021. "Structural distortion and the shortage of peak-load power resources in China: A screening curve approach and case study of Shandong Province," Utilities Policy, Elsevier, vol. 70(C).

  205. Cong, Rong-Gang & Wei, Yi-Ming, 2010. "Potential impact of (CET) carbon emissions trading on China’s power sector: A perspective from different allowance allocation options," Energy, Elsevier, vol. 35(9), pages 3921-3931.
    See citations under working paper version above.
  206. Liao, Hua & Wei, Yi-Ming, 2010. "China's energy consumption: A perspective from Divisia aggregation approach," Energy, Elsevier, vol. 35(1), pages 28-34.
    See citations under working paper version above.
  207. Zhang, Yue-Jun & Wei, Yi-Ming, 2010. "An overview of current research on EU ETS: Evidence from its operating mechanism and economic effect," Applied Energy, Elsevier, vol. 87(6), pages 1804-1814, June.
    See citations under working paper version above.
  208. Le-Le Zou & Yi-Ming Wei, 2010. "Driving factors for social vulnerability to coastal hazards in Southeast Asia: results from the meta-analysis," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 54(3), pages 901-929, September.

    Cited by:

    1. Jing-Li Fan & Shuo Shen & Jian-Da Wang & Shi-Jie Wei & Xian Zhang & Ping Zhong & Hang Wang, 2020. "Scientific and technological power and international cooperation in the field of natural hazards: a bibliometric analysis," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 102(3), pages 807-827, July.
    2. Bing Wang & Su-Yan Pan & Ruo-Yu Ke & Ke Wang & Yi-Ming Wei, 2014. "An overview of climate change vulnerability: a bibliometric analysis based on Web of Science database," CEEP-BIT Working Papers 62, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
    3. Kirsten Halsnæs & Morten Andreas Dahl Larsen & Per Skougaard Kaspersen, 2018. "Climate change risks for severe storms in developing countries in the context of poverty and inequality in Cambodia," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 94(1), pages 261-278, October.
    4. Nathan James Bennett & Alin Kadfak & Philip Dearden, 2016. "Community-based scenario planning: a process for vulnerability analysis and adaptation planning to social–ecological change in coastal communities," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 18(6), pages 1771-1799, December.
    5. Joydeb Garai, 2017. "Qualitative analysis of coping strategies of cyclone disaster in coastal area of Bangladesh," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 85(1), pages 425-435, January.
    6. Jonatan A. Lassa & Allen Yu-Hung Lai & Tian Goh, 2016. "Climate extremes: an observation and projection of its impacts on food production in ASEAN," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 84(1), pages 19-33, November.
    7. Le–Le Zou, 2012. "The impacting factors of vulnerability to natural hazards in China: an analysis based on structural equation model," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 62(1), pages 57-70, May.
    8. B. K. Downie & P. Dearden & L. King, 2018. "Exploring paradoxes in the search for sustainable livelihoods: a case study from Tanzania," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 20(2), pages 527-542, April.
    9. P. Willroth & J. Revilla Diez & N. Arunotai, 2011. "Modelling the economic vulnerability of households in the Phang-Nga Province (Thailand) to natural disasters," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 58(2), pages 753-769, August.
    10. Tengjiao Guo & Guosheng Li, 2020. "Study on methods to identify the impact factors of economic losses due to typhoon storm surge based on confirmatory factor analysis," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 100(2), pages 515-534, January.

  209. Le-Le Zou & Yi-Ming Wei, 2009. "Impact assessment using DEA of coastal hazards on social-economy in Southeast Asia," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 48(2), pages 167-189, February.

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    1. Aldieri, Luigi & Gatto, Andrea & Vinci, Concetto Paolo, 2021. "Evaluation of energy resilience and adaptation policies: An energy efficiency analysis," Energy Policy, Elsevier, vol. 157(C).
    2. Bing Wang & Su-Yan Pan & Ruo-Yu Ke & Ke Wang & Yi-Ming Wei, 2014. "An overview of climate change vulnerability: a bibliometric analysis based on Web of Science database," CEEP-BIT Working Papers 62, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
    3. Jianyi Huang & Yi Liu & Li Ma & Fei Su, 2013. "Methodology for the assessment and classification of regional vulnerability to natural hazards in China: the application of a DEA model," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 65(1), pages 115-134, January.
    4. Xiao-Chen Yuan & Bao-Jun Tang & Yi-Ming Wei & Xiao-Jie Liang & Hao Yu & Ju-Liang Jin, 2015. "China’s regional drought risk under climate change: a two-stage process assessment approach," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 76(1), pages 667-684, March.
    5. Mingze Li & Jun Lv & Xin Chen & Nan Jiang, 2015. "Provincial evaluation of vulnerability to geological disaster in China and its influencing factors: a three-stage DEA-based analysis," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 79(3), pages 1649-1662, December.
    6. Marco Modica & Aura Reggiani & Peter Nijkamp, 2018. "Vulnerability, resilience and exposure: methodological aspects and an empirical applications to shocks," SEEDS Working Papers 1318, SEEDS, Sustainability Environmental Economics and Dynamics Studies, revised Nov 2018.
    7. Sungyoon Lee & Jennifer Dodge & Gang Chen, 2022. "The cost of social vulnerability: an integrative conceptual framework and model for assessing financial risks in natural disaster management," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 114(1), pages 691-712, October.
    8. Le–Le Zou, 2012. "The impacting factors of vulnerability to natural hazards in China: an analysis based on structural equation model," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 62(1), pages 57-70, May.
    9. Elia A Machado & Samuel Ratick, 2018. "Implications of indicator aggregation methods for global change vulnerability reduction efforts," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 23(7), pages 1109-1141, October.

  210. Zhang, Xiao-Bing & Fan, Ying & Wei, Yi-Ming, 2009. "A model based on stochastic dynamic programming for determining China's optimal strategic petroleum reserve policy," Energy Policy, Elsevier, vol. 37(11), pages 4397-4406, November.

    Cited by:

    1. Antonakakis, Nikolaos & Chatziantoniou, Ioannis & Filis, George, 2014. "Dynamic spillovers of oil price shocks and economic policy uncertainty," Energy Economics, Elsevier, vol. 44(C), pages 433-447.
    2. Bai, Y. & Zhou, D.Q. & Zhou, P., 2012. "Modelling and analysis of oil import tariff and stockpile policies for coping with supply disruptions," Applied Energy, Elsevier, vol. 97(C), pages 84-90.
    3. Zhang, Xiao-Bing & Qin, Ping & Chen, Xiaolan, 2017. "Strategic oil stockpiling for energy security: The case of China and India," Energy Economics, Elsevier, vol. 61(C), pages 253-260.
    4. Liu, Zhen & Tang, Yuk Ming & Chau, Ka Yin & Chien, Fengsheng & Iqbal, Wasim & Sadiq, Muhammad, 2021. "Incorporating strategic petroleum reserve and welfare losses: A way forward for the policy development of crude oil resources in South Asia," Resources Policy, Elsevier, vol. 74(C).
    5. Xie, Nan & Yan, Zhijun & Zhou, Yi & Huang, Wenjun, 2017. "China's optimal stockpiling policies in the context of new oil price trend," Energy Policy, Elsevier, vol. 105(C), pages 332-340.
    6. Ali Raza & Maryam Khokhar & Reyna Esperanza Zea Gordillo & Faisal Ejaz & Tahir Saeed Jagirani & Fodor Zita Júlia & Md Billal Hossain, 2024. "Economic Gains and Losses for Sustainable Policy Development of Crude Oil Resources: A Historical Perspective of Indian Subcontinent," International Journal of Energy Economics and Policy, Econjournals, vol. 14(2), pages 642-655, March.
    7. Zhang, Zhimin & Elshkaki, Ayman, 2022. "An analysis of the supply-side factors of geological exploration in China based on provincial panel data between 1999 and 2017," Resources Policy, Elsevier, vol. 76(C).
    8. Antonakakis, Nikolaos & Chatziantoniou, Ioannis & Filis, George, 2017. "Oil shocks and stock markets: Dynamic connectedness under the prism of recent geopolitical and economic unrest," International Review of Financial Analysis, Elsevier, vol. 50(C), pages 1-26.
    9. Antonakakis, Nikolaos & Chatziantoniou, Ioannis & Filis, George, 2014. "Dynamic Spillovers of Oil Price Shocks and Policy Uncertainty," Department of Economics Working Paper Series 166, WU Vienna University of Economics and Business.
    10. Xu, Mei & Xie, Pu & Xie, Bai-Chen, 2020. "Study of China's optimal solar photovoltaic power development path to 2050," Resources Policy, Elsevier, vol. 65(C).
    11. Huanan Li & Xin Chen, 2016. "Dynamic game analysis on China’s public and private oil stockpiles," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 84(1), pages 715-723, October.
    12. Bai, Y. & Zhou, D.Q. & Zhou, P. & Zhang, L.B., 2012. "Optimal path for China's strategic petroleum reserve: A dynamic programming analysis," Energy Economics, Elsevier, vol. 34(4), pages 1058-1063.
    13. Li, Tianxiao & Liu, Pei & Li, Zheng, 2021. "Optimal scale of natural gas reserves in China under increasing and fluctuating demand: A quantitative analysis," Energy Policy, Elsevier, vol. 152(C).
    14. Cheng, Ching-Tsung & Lo, Shang-Lien & Lin, Tyrone T., 2011. "Applying real options analysis to assess cleaner energy development strategies," Energy Policy, Elsevier, vol. 39(10), pages 5929-5938, October.
    15. Bai, Y. & Dahl, C.A. & Zhou, D.Q. & Zhou, P., 2014. "Stockpile strategy for China׳s emergency oil reserve: A dynamic programming approach," Energy Policy, Elsevier, vol. 73(C), pages 12-20.
    16. Ma, Linwei & Fu, Feng & Li, Zheng & Liu, Pei, 2012. "Oil development in China: Current status and future trends," Energy Policy, Elsevier, vol. 45(C), pages 43-53.
    17. Bai, Yang & Zhou, Peng & Tian, Lixin & Meng, Fanyi, 2016. "Desirable Strategic Petroleum Reserves policies in response to supply uncertainty: A stochastic analysis," Applied Energy, Elsevier, vol. 162(C), pages 1523-1529.
    18. Lu, Ze-Yu & Li, Wen-Hua & Xie, Bai-Chen & Shang, Li-Feng, 2015. "Study on China’s wind power development path—Based on the target for 2030," Renewable and Sustainable Energy Reviews, Elsevier, vol. 51(C), pages 197-208.
    19. Leung, Guy C.K. & Cherp, Aleh & Jewell, Jessica & Wei, Yi-Ming, 2014. "Securitization of energy supply chains in China," Applied Energy, Elsevier, vol. 123(C), pages 316-326.
    20. Antonakakis, Nikolaos & Chatziantoniou, Ioannis & Filis, George, 2014. "Spillovers between oil and stock markets at times of geopolitical unrest and economic turbulence," MPRA Paper 59760, University Library of Munich, Germany.
    21. Zhang, Xiao-Bing & Zheng, Xinye & Qin, Ping & Xie, Lunyu, 2018. "Oil import tariff game for energy security: The case of China and India," Energy Economics, Elsevier, vol. 72(C), pages 255-262.
    22. Chen, Xin & Mu, Hailin & Li, Huanan & Gui, Shusen, 2014. "Using stockpile delegation to improve China׳s strategic oil policy: A multi-dimension stochastic dynamic programming approach," Energy Policy, Elsevier, vol. 69(C), pages 28-42.
    23. Jiao, Jian-Ling & Han, Kuang-Yi & Wu, Gang & Li, Lan-Lan & Wei, Yi-Ming, 2014. "The effect of an SPR on the oil price in China: A system dynamics approach," Applied Energy, Elsevier, vol. 133(C), pages 363-373.
    24. Wu, Gang & Wei, Yi-Ming & Nielsen, Chris & Lu, Xi & McElroy, Michael B., 2012. "A dynamic programming model of China's strategic petroleum reserve: General strategy and the effect of emergencies," Energy Economics, Elsevier, vol. 34(4), pages 1234-1243.
    25. Zhang, Xiao-Bing, 2014. "Optimal strategic oil stockpiling and import tariffs: The case of China," Energy Economics, Elsevier, vol. 45(C), pages 463-474.
    26. Zhao, Chunfu & Chen, Bin, 2014. "China’s oil security from the supply chain perspective: A review," Applied Energy, Elsevier, vol. 136(C), pages 269-279.
    27. Gao, Dan & Li, Zheng & Liu, Pei & Zhao, Jiazhu & Zhang, Yuning & Li, Canbing, 2018. "A coordinated energy security model taking strategic petroleum reserve and alternative fuels into consideration," Energy, Elsevier, vol. 145(C), pages 171-181.

  211. Jian-Ling Jiao & Ying Fan & Yi-Ming Wei, 2009. "The structural break and elasticity of coal demand in China: empirical findings from 1980-2006," International Journal of Global Energy Issues, Inderscience Enterprises Ltd, vol. 31(3/4), pages 331-344.

    Cited by:

    1. Bloch, Harry & Rafiq, Shuddhasattwa & Salim, Ruhul, 2015. "Economic growth with coal, oil and renewable energy consumption in China: Prospects for fuel substitution," Economic Modelling, Elsevier, vol. 44(C), pages 104-115.
    2. Burke, Paul J. & Liao, Hua, 2015. "Is the price elasticity of demand for coal in China increasing?," China Economic Review, Elsevier, vol. 36(C), pages 309-322.
    3. Halim Tatli, 2019. "Factors affecting industrial coal demand in Turkey," Energy & Environment, , vol. 30(6), pages 1027-1048, September.
    4. Raymond Li & David C. Broadstock, 2021. "Coal Pricing in China: Is It a Bit Too Crude?," Energies, MDPI, vol. 14(13), pages 1-13, June.
    5. Guo, Yanfeng & Zhao, Huanyu, 2024. "Volatility spillovers between oil and coal prices and its implications for energy portfolio management in China," International Review of Economics & Finance, Elsevier, vol. 89(PB), pages 446-457.
    6. Peter Erickson & Michael Lazarus, 2018. "Would constraining US fossil fuel production affect global CO2 emissions? A case study of US leasing policy," Climatic Change, Springer, vol. 150(1), pages 29-42, September.
    7. Wang, Banban & Wei, Jie & Tan, Xiujie & Su, Bin, 2021. "The sectorally heterogeneous and time-varying price elasticities of energy demand in China," Energy Economics, Elsevier, vol. 102(C).

  212. Wu, Gang & Liu, Lan-Cui & Wei, Yi-Ming, 2009. "Comparison of China's oil import risk: Results based on portfolio theory and a diversification index approach," Energy Policy, Elsevier, vol. 37(9), pages 3557-3565, September.

    Cited by:

    1. Vivoda, Vlado, 2022. "LNG export diversification and demand security: A comparative study of major exporters," Energy Policy, Elsevier, vol. 170(C).
    2. Song, Zhouying & Zhu, Qiaoling & Han, Mengyao, 2021. "Tele-connection of global crude oil network: Comparisons between direct trade and embodied flows," Energy, Elsevier, vol. 217(C).
    3. Xiaolei Sun & Jun Hao & Jianping Li, 2022. "Multi-objective optimization of crude oil-supply portfolio based on interval prediction data," Annals of Operations Research, Springer, vol. 309(2), pages 611-639, February.
    4. An, Haizhong & Zhong, Weiqiong & Chen, Yurong & Li, Huajiao & Gao, Xiangyun, 2014. "Features and evolution of international crude oil trade relationships: A trading-based network analysis," Energy, Elsevier, vol. 74(C), pages 254-259.
    5. Jian Xu & Jin-Suo Zhang & Qin Yao & Wei Zhang, 2014. "Is It Feasible for China to Optimize Oil Import Source Diversification?," Sustainability, MDPI, vol. 6(11), pages 1-13, November.
    6. Kong, Zhaoyang & Lu, Xi & Jiang, Qingzhe & Dong, Xiucheng & Liu, Guixian & Elbot, Noah & Zhang, Zhonghua & Chen, Shi, 2019. "Assessment of import risks for natural gas and its implication for optimal importing strategies: A case study of China," Energy Policy, Elsevier, vol. 127(C), pages 11-18.
    7. Dalia Streimikiene & Indre Siksnelyte-Butkiene & Vidas Lekavicius, 2023. "Energy Diversification and Security in the EU: Comparative Assessment in Different EU Regions," Economies, MDPI, vol. 11(3), pages 1-18, March.
    8. Yang, Yuying & Li, Jianping & Sun, Xiaolei & Chen, Jianming, 2014. "Measuring external oil supply risk: A modified diversification index with country risk and potential oil exports," Energy, Elsevier, vol. 68(C), pages 930-938.
    9. Petr Suler & Zuzana Rowland & Tomas Krulicky, 2021. "Evaluation of the Accuracy of Machine Learning Predictions of the Czech Republic’s Exports to the China," JRFM, MDPI, vol. 14(2), pages 1-30, February.
    10. Liu, Zhen & Tang, Yuk Ming & Chau, Ka Yin & Chien, Fengsheng & Iqbal, Wasim & Sadiq, Muhammad, 2021. "Incorporating strategic petroleum reserve and welfare losses: A way forward for the policy development of crude oil resources in South Asia," Resources Policy, Elsevier, vol. 74(C).
    11. Xiaodong Guo & Chen Hao & Shuwen Niu, 2020. "Analysis of Oil Import Risk and Strategic Petroleum Reserve: The Case of China," Sustainability, MDPI, vol. 12(9), pages 1-20, May.
    12. Mohsin, M. & Zhou, P. & Iqbal, N. & Shah, S.A.A., 2018. "Assessing oil supply security of South Asia," Energy, Elsevier, vol. 155(C), pages 438-447.
    13. Zhang, Chuanguo & Yu, Xiaoxue & Zhou, Juncen, 2024. "China's embodied oil outflow in GVC participation: Patterns and drivers," Resources Policy, Elsevier, vol. 91(C).
    14. Marcos Vizcaíno-González & Susana Iglesias-Antelo & Noelia Romero-Castro, 2019. "Assessing Sustainability-Related Systematic Reputational Risk through Voting Results in Corporate Meetings: A Cross-Industry Analysis," Sustainability, MDPI, vol. 11(5), pages 1-11, March.
    15. Sun, Xiaolei & Liu, Chang & Chen, Xiuwen & Li, Jianping, 2017. "Modeling systemic risk of crude oil imports: Case of China’s global oil supply chain," Energy, Elsevier, vol. 121(C), pages 449-465.
    16. Sun, Mei & Gao, Cuixia & Shen, Bo, 2014. "Quantifying China's oil import risks and the impact on the national economy," Energy Policy, Elsevier, vol. 67(C), pages 605-611.
    17. An, Qier & Wang, Lang & Qu, Debin & Zhang, Hujun, 2018. "Dependency network of international oil trade before and after oil price drop," Energy, Elsevier, vol. 165(PA), pages 1021-1033.
    18. Doğan, Buhari & Ferraz, Diogo & Gupta, Monika & Duc Huynh, Toan Luu & Shahzadi, Irum, 2022. "Exploring the effects of import diversification on energy efficiency: Evidence from the OECD economies," Renewable Energy, Elsevier, vol. 189(C), pages 639-650.
    19. Lan-Cui Liu & Gang Wu, 2015. "Assessment of energy supply vulnerability between China and USA," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 75(2), pages 127-138, February.
    20. Wu, Gang & Zhang, Yue-Jun, 2014. "Does China factor matter? An econometric analysis of international crude oil prices," Energy Policy, Elsevier, vol. 72(C), pages 78-86.
    21. Xu, Yang-Jie & Li, Guo-Xiu & Sun, Zuo-Yu, 2016. "Development of biodiesel industry in China: Upon the terms of production and consumption," Renewable and Sustainable Energy Reviews, Elsevier, vol. 54(C), pages 318-330.
    22. Shepard, Jun U. & Pratson, Lincoln F., 2020. "Maritime piracy in the Strait of Hormuz and implications of energy export security," Energy Policy, Elsevier, vol. 140(C).
    23. Lijun Wang & Haizhong An & Xiaohua Xia & Xiaojia Liu & Xiaoqi Sun & Xuan Huang, 2014. "Generating Moving Average Trading Rules on the Oil Futures Market with Genetic Algorithms," Mathematical Problems in Engineering, Hindawi, vol. 2014, pages 1-10, May.
    24. van Moerkerk, Mike & Crijns-Graus, Wina, 2016. "A comparison of oil supply risks in EU, US, Japan, China and India under different climate scenarios," Energy Policy, Elsevier, vol. 88(C), pages 148-158.
    25. Vivoda, Vlado, 2019. "LNG import diversification and energy security in Asia," Energy Policy, Elsevier, vol. 129(C), pages 967-974.
    26. Zhong, Weiqiong & An, Haizhong & Shen, Lei & Fang, Wei & Gao, Xiangyun & Dong, Di, 2017. "The roles of countries in the international fossil fuel trade: An emergy and network analysis," Energy Policy, Elsevier, vol. 100(C), pages 365-376.
    27. Gong, Chengzhu & Gong, Nianjiao & Qi, Rui & Yu, Shiwei, 2020. "Assessment of natural gas supply security in Asia Pacific: Composite indicators with compromise Benefit-of-the-Doubt weights," Resources Policy, Elsevier, vol. 67(C).
    28. Julien-Joern Mueller & Liam Wagner, 2013. "The Devil’s Tears from the Tournament of Shadows: Oil Supply, Markets and Unstable Producers," Energy Economics and Management Group Working Papers 5-2013, School of Economics, University of Queensland, Australia.
    29. Suzuki, Kengo & Uchiyama, Yohji, 2010. "Quantifying the risk of an increase in the prices of non-energy products by combining the portfolio and input-output approaches," Energy Policy, Elsevier, vol. 38(10), pages 5867-5877, October.
    30. Xuanru Zhou & Hua Zhang & Shuxian Zheng & Wanli Xing & Pei Zhao & Haiying Li, 2022. "The Crude Oil International Trade Competition Networks: Evolution Trends and Estimating Potential Competition Links," Energies, MDPI, vol. 15(7), pages 1-20, March.
    31. Sato, Masahiro & Kharrazi, Ali & Nakayama, Hirofumi & Kraines, Steven & Yarime, Masaru, 2017. "Quantifying the supplier-portfolio diversity of embodied energy: Strategic implications for strengthening energy resilience," Energy Policy, Elsevier, vol. 105(C), pages 41-52.
    32. Zhao, Chunfu & Chen, Bin, 2014. "China’s oil security from the supply chain perspective: A review," Applied Energy, Elsevier, vol. 136(C), pages 269-279.

  213. He, Ling-Yun & Fan, Ying & Wei, Yi-Ming, 2009. "Impact of speculator's expectations of returns and time scales of investment on crude oil price behaviors," Energy Economics, Elsevier, vol. 31(1), pages 77-84, January.

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    1. He, Ling-Yun & Qian, Wen-Bin, 2012. "A Monte Carlo simulation to the performance of the R/S and V/S methods—Statistical revisit and real world application," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(14), pages 3770-3782.
    2. Yue-Hua Dai & Wen-Jie Xie & Zhi-Qiang Jiang & George J. Jiang & Wei-Xing Zhou, 2016. "Correlation structure and principal components in the global crude oil market," Empirical Economics, Springer, vol. 51(4), pages 1501-1519, December.
    3. Hui-Ling Zhou & Bao-Jun Tang & Hong Cao, 2020. "Abandonment Decision-Making of Overseas Oilfield Project Coping with Low Oil Price," Computational Economics, Springer;Society for Computational Economics, vol. 55(4), pages 1171-1184, April.
    4. Hongtao Chen & Lianghua Chen, 2015. "Multifractal spectrum analysis of Brent crude oil futures prices volatility in intercontinental exchange," International Journal of Global Energy Issues, Inderscience Enterprises Ltd, vol. 38(1/2/3), pages 93-108.
    5. Di Sanzo, Silvestro, 2018. "A Markov switching long memory model of crude oil price return volatility," Energy Economics, Elsevier, vol. 74(C), pages 351-359.
    6. Maryam Ahmad & Matteo Manera & Mehdi Sadeghzadeh, 2015. "Global Oil Market and the U.S. Stock Returns," Working Papers 2015.91, Fondazione Eni Enrico Mattei.
    7. Li, Huajiao & An, Haizhong & Liu, Xueyong & Gao, Xiangyun & Fang, Wei & An, Feng, 2016. "Price fluctuation in the energy stock market based on fluctuation and co-fluctuation matrix transmission networks," Energy, Elsevier, vol. 117(P1), pages 73-83.
    8. Shu-Peng Chen & Ling-Yun He, 2013. "Bubble Formation and Heterogeneity of Traders: A Multi-Agent Perspective," Computational Economics, Springer;Society for Computational Economics, vol. 42(3), pages 267-289, October.
    9. Li, Hong & Xiaowen Lin, Sharon, 2011. "Do emerging markets matter in the world oil pricing system? Evidence of imported crude by China and India," Energy Policy, Elsevier, vol. 39(8), pages 4624-4630, August.
    10. Mensi, Walid & Lee, Yun-Jung & Vinh Vo, Xuan & Yoon, Seong-Min, 2021. "Does oil price variability affect the long memory and weak form efficiency of stock markets in top oil producers and oil Consumers? Evidence from an asymmetric MF-DFA approach," The North American Journal of Economics and Finance, Elsevier, vol. 57(C).
    11. Cao, Guangxi & Han, Yan & Li, Qingchen & Xu, Wei, 2017. "Asymmetric MF-DCCA method based on risk conduction and its application in the Chinese and foreign stock markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 468(C), pages 119-130.
    12. Gajardo, Gabriel & Kristjanpoller, Werner D. & Minutolo, Marcel, 2018. "Does Bitcoin exhibit the same asymmetric multifractal cross-correlations with crude oil, gold and DJIA as the Euro, Great British Pound and Yen?," Chaos, Solitons & Fractals, Elsevier, vol. 109(C), pages 195-205.
    13. Ling-Yun He, 2010. "Is Price Behavior Scaling and Multiscaling in a Dealer Market? Perspectives from Multi-Agent Based Experiments," Computational Economics, Springer;Society for Computational Economics, vol. 36(3), pages 263-282, October.
    14. He, Ling-Yun & Chen, Shu-Peng, 2011. "A new approach to quantify power-law cross-correlation and its application to commodity markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 390(21), pages 3806-3814.
    15. Su, Zhi & Lu, Man & Yin, Libo, 2018. "Oil prices and news-based uncertainty: Novel evidence," Energy Economics, Elsevier, vol. 72(C), pages 331-340.
    16. Pal, Mayukha & Madhusudana Rao, P. & Manimaran, P., 2014. "Multifractal detrended cross-correlation analysis on gold, crude oil and foreign exchange rate time series," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 416(C), pages 452-460.
    17. Boubaker, Heni & Raza, Syed Ali, 2017. "A wavelet analysis of mean and volatility spillovers between oil and BRICS stock markets," Energy Economics, Elsevier, vol. 64(C), pages 105-117.
    18. Yue-Jun Zhang & Ting Yao & Zi-Yi Wang, 2015. "The bubble process of international crude oil futures prices: empirical evidence from the STAR model," International Journal of Global Energy Issues, Inderscience Enterprises Ltd, vol. 38(1/2/3), pages 109-125.
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    1. Atukeren, Erdal & Cevik, Emrah Ismail & Korkmaz, Turhan, 2015. "Downside Business Confidence Spillovers in Europe: Evidence from Causality-in-Risk Tests," MPRA Paper 76038, University Library of Munich, Germany.
    2. Wang, Yudong & Wu, Chongfeng, 2012. "Forecasting energy market volatility using GARCH models: Can multivariate models beat univariate models?," Energy Economics, Elsevier, vol. 34(6), pages 2167-2181.
    3. Naqvi, Bushra & Mirza, Nawazish & Umar, Muhammad & Rizvi, Syed Kumail Abbas, 2023. "Shanghai crude oil futures: Returns Independence, volatility asymmetry, and hedging potential," Energy Economics, Elsevier, vol. 128(C).
    4. Mbarki, Imen & Khan, Muhammad Arif & Karim, Sitara & Paltrinieri, Andrea & Lucey, Brian M., 2023. "Unveiling commodities-financial markets intersections from a bibliometric perspective," Resources Policy, Elsevier, vol. 83(C).
    5. Chang, Kuang-Liang, 2012. "The time-varying and asymmetric dependence between crude oil spot and futures markets: Evidence from the Mixture copula-based ARJI–GARCH model," Economic Modelling, Elsevier, vol. 29(6), pages 2298-2309.
    6. Lux, Thomas & Segnon, Mawuli & Gupta, Rangan, 2016. "Forecasting crude oil price volatility and value-at-risk: Evidence from historical and recent data," Energy Economics, Elsevier, vol. 56(C), pages 117-133.
    7. Wen, Jun & Zhao, Xin-Xin & Chang, Chun-Ping, 2021. "The impact of extreme events on energy price risk," Energy Economics, Elsevier, vol. 99(C).
    8. Med Imen Gallali & Raggad Zahraa, 2012. "Evaluation of VaR models' forecasting performance: the case of oil markets," International Journal of Financial Services Management, Inderscience Enterprises Ltd, vol. 5(3), pages 197-215.
    9. Ladislav Kristoufek, 2014. "Leverage effect in energy futures," Papers 1403.0064, arXiv.org.
    10. Zhang, Xi & Li, Jian, 2018. "Credit and market risks measurement in carbon financing for Chinese banks," Energy Economics, Elsevier, vol. 76(C), pages 549-557.
    11. Onder Buberkoku, 2018. "Examining the Value-at-risk Performance of Fractionally Integrated GARCH Models: Evidence from Energy Commodities," International Journal of Economics and Financial Issues, Econjournals, vol. 8(3), pages 36-50.
    12. Nomikos, Nikos K. & Pouliasis, Panos K., 2011. "Forecasting petroleum futures markets volatility: The role of regimes and market conditions," Energy Economics, Elsevier, vol. 33(2), pages 321-337, March.
    13. Shi, Yanlin & Ho, Kin-Yip, 2015. "Modeling high-frequency volatility with three-state FIGARCH models," Economic Modelling, Elsevier, vol. 51(C), pages 473-483.
    14. Yin, Libo & Su, Zhi & Lu, Man, 2022. "Is oil risk important for commodity-related currency returns?," Research in International Business and Finance, Elsevier, vol. 60(C).
    15. Ghorbel, Ahmed & Trabelsi, Abdelwahed, 2014. "Energy portfolio risk management using time-varying extreme value copula methods," Economic Modelling, Elsevier, vol. 38(C), pages 470-485.
    16. Zhang, Yue-Jun & Yao, Ting & He, Ling-Yun & Ripple, Ronald, 2019. "Volatility forecasting of crude oil market: Can the regime switching GARCH model beat the single-regime GARCH models?," International Review of Economics & Finance, Elsevier, vol. 59(C), pages 302-317.
    17. Shen, Yiran & Liu, Chang & Sun, Xiaolei & Guo, Kun, 2023. "Investor sentiment and the Chinese new energy stock market: A risk–return perspective," International Review of Economics & Finance, Elsevier, vol. 84(C), pages 395-408.
    18. Ewing, Bradley T. & Malik, Farooq, 2017. "Modelling asymmetric volatility in oil prices under structural breaks," Energy Economics, Elsevier, vol. 63(C), pages 227-233.
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    45. Lyu, Yongjian & Qin, Fanshu & Ke, Rui & Wei, Yu & Kong, Mengzhen, 2024. "Does mixed frequency variables help to forecast value at risk in the crude oil market?," Resources Policy, Elsevier, vol. 88(C).
    46. Chang, Kai & Chen, Rongda & Chevallier, Julien, 2018. "Market fragmentation, liquidity measures and improvement perspectives from China's emissions trading scheme pilots," Energy Economics, Elsevier, vol. 75(C), pages 249-260.
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    51. Wang, Gang-Jin & Xie, Chi & Jiang, Zhi-Qiang & Stanley, H. Eugene, 2016. "Extreme risk spillover effects in world gold markets and the global financial crisis," International Review of Economics & Finance, Elsevier, vol. 46(C), pages 55-77.
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    1. Zhang, Xiao-Bing & Fan, Ying & Wei, Yi-Ming, 2009. "A model based on stochastic dynamic programming for determining China's optimal strategic petroleum reserve policy," Energy Policy, Elsevier, vol. 37(11), pages 4397-4406, November.
    2. Cong, Rong-Gang, 2013. "An optimization model for renewable energy generation and its application in China: A perspective of maximum utilization," Renewable and Sustainable Energy Reviews, Elsevier, vol. 17(C), pages 94-103.
    3. Bai, Y. & Zhou, D.Q. & Zhou, P., 2012. "Modelling and analysis of oil import tariff and stockpile policies for coping with supply disruptions," Applied Energy, Elsevier, vol. 97(C), pages 84-90.
    4. Zhang, Xiao-Bing & Qin, Ping & Chen, Xiaolan, 2017. "Strategic oil stockpiling for energy security: The case of China and India," Energy Economics, Elsevier, vol. 61(C), pages 253-260.
    5. Liu, Zhen & Tang, Yuk Ming & Chau, Ka Yin & Chien, Fengsheng & Iqbal, Wasim & Sadiq, Muhammad, 2021. "Incorporating strategic petroleum reserve and welfare losses: A way forward for the policy development of crude oil resources in South Asia," Resources Policy, Elsevier, vol. 74(C).
    6. Xiaodong Guo & Chen Hao & Shuwen Niu, 2020. "Analysis of Oil Import Risk and Strategic Petroleum Reserve: The Case of China," Sustainability, MDPI, vol. 12(9), pages 1-20, May.
    7. Xie, Nan & Yan, Zhijun & Zhou, Yi & Huang, Wenjun, 2017. "China's optimal stockpiling policies in the context of new oil price trend," Energy Policy, Elsevier, vol. 105(C), pages 332-340.
    8. Fan, Ying & Zhang, Xiao-Bing, 2010. "Modelling the strategic petroleum reserves of China and India by a stochastic dynamic game," Journal of Policy Modeling, Elsevier, vol. 32(4), pages 505-519, July.
    9. Ilyes Abid & Stéphane Goutte & Farid Mkaouar & Khaled Guesmi, 2018. "Optimal strategy between extraction and storage of crude oil," Post-Print hal-01968085, HAL.
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  216. Ju-Liang Jin & Jian Cheng & Yi-Ming Wei, 2008. "Forecasting flood disasters using an accelerated genetic algorithm: Examples of two case studies for China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 44(1), pages 85-92, January.

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    1. Bufalo, Michele & Ceci, Claudia & Orlando, Giuseppe, 2024. "Addressing the financial impact of natural disasters in the era of climate change," The North American Journal of Economics and Finance, Elsevier, vol. 73(C).
    2. Giuseppe Orlando & Michele Bufalo, 2022. "A generalized two‐factor square‐root framework for modeling occurrences of natural catastrophes," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 41(8), pages 1608-1622, December.
    3. Altay, Nezih & Narayanan, Arunachalam, 2022. "Forecasting in humanitarian operations: Literature review and research needs," International Journal of Forecasting, Elsevier, vol. 38(3), pages 1234-1244.

  217. Fan, Ying & Liang, Qiang & Wei, Yi-Ming, 2008. "A generalized pattern matching approach for multi-step prediction of crude oil price," Energy Economics, Elsevier, vol. 30(3), pages 889-904, May.

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    1. Almaraz-Rodríguez, Ignacio, 2016. "Crisis económica y financiera en México: causas y efectos multifactoriales," Panorama Económico, Escuela Superior de Economía, Instituto Politécnico Nacional, vol. 0(44), pages 63-81, primer se.
    2. Ortiz-Cruz, Alejandro & Rodriguez, Eduardo & Ibarra-Valdez, Carlos & Alvarez-Ramirez, Jose, 2012. "Efficiency of crude oil markets: Evidences from informational entropy analysis," Energy Policy, Elsevier, vol. 41(C), pages 365-373.
    3. Xiong, Tao & Bao, Yukun & Hu, Zhongyi, 2013. "Beyond one-step-ahead forecasting: Evaluation of alternative multi-step-ahead forecasting models for crude oil prices," Energy Economics, Elsevier, vol. 40(C), pages 405-415.
    4. Yu, Shiwei & Zhang, Junjie & Zheng, Shuhong & Sun, Han, 2015. "Provincial carbon intensity abatement potential estimation in China: A PSO–GA-optimized multi-factor environmental learning curve method," Energy Policy, Elsevier, vol. 77(C), pages 46-55.
    5. Krzysztof Drachal & Michał Pawłowski, 2021. "A Review of the Applications of Genetic Algorithms to Forecasting Prices of Commodities," Economies, MDPI, vol. 9(1), pages 1-22, January.
    6. Yu, Lean & Wang, Zishu & Tang, Ling, 2015. "A decomposition–ensemble model with data-characteristic-driven reconstruction for crude oil price forecasting," Applied Energy, Elsevier, vol. 156(C), pages 251-267.
    7. Lu-Tao Zhao & Guan-Rong Zeng & Ling-Yun He & Ya Meng, 2020. "Forecasting Short-Term Oil Price with a Generalised Pattern Matching Model Based on Empirical Genetic Algorithm," Computational Economics, Springer;Society for Computational Economics, vol. 55(4), pages 1151-1169, April.
    8. Baruník, Jozef & Malinská, Barbora, 2016. "Forecasting the term structure of crude oil futures prices with neural networks," Applied Energy, Elsevier, vol. 164(C), pages 366-379.
    9. Jiangwei Liu & Xiaohong Huang, 2021. "Forecasting Crude Oil Price Using Event Extraction," Papers 2111.09111, arXiv.org.
    10. Bekiroglu, Korkut & Duru, Okan & Gulay, Emrah & Su, Rong & Lagoa, Constantino, 2018. "Predictive analytics of crude oil prices by utilizing the intelligent model search engine," Applied Energy, Elsevier, vol. 228(C), pages 2387-2397.
    11. Trapero, Juan R. & Pedregal, Diego J., 2009. "Frequency domain methods applied to forecasting electricity markets," Energy Economics, Elsevier, vol. 31(5), pages 727-735, September.
    12. Zhang, Xun & Yu, Lean & Wang, Shouyang & Lai, Kin Keung, 2009. "Estimating the impact of extreme events on crude oil price: An EMD-based event analysis method," Energy Economics, Elsevier, vol. 31(5), pages 768-778, September.
    13. Sina Aghaei, 2018. "A Data-Driven Approach for Modeling Stochasticity in Oil Market," Papers 1805.12110, arXiv.org.
    14. Parviz Sohrabi & Behshad Jodeiri Shokri & Hesam Dehghani, 2023. "Predicting coal price using time series methods and combination of radial basis function (RBF) neural network with time series," Mineral Economics, Springer;Raw Materials Group (RMG);Luleå University of Technology, vol. 36(2), pages 207-216, June.
    15. Mensi, Walid & Sensoy, Ahmet & Vo, Xuan Vinh & Kang, Sang Hoon, 2020. "Impact of COVID-19 outbreak on asymmetric multifractality of gold and oil prices," Resources Policy, Elsevier, vol. 69(C).
    16. Sylvie Geisendorf, 2011. "Internal selection and market selection in economic Genetic Algorithms," Journal of Evolutionary Economics, Springer, vol. 21(5), pages 817-841, December.
    17. M. Elshendy & A. Fronzetti Colladon & E. Battistoni & P. A. Gloor, 2021. "Using four different online media sources to forecast the crude oil price," Papers 2105.09154, arXiv.org.
    18. He, Kaijian & Yu, Lean & Lai, Kin Keung, 2012. "Crude oil price analysis and forecasting using wavelet decomposed ensemble model," Energy, Elsevier, vol. 46(1), pages 564-574.
    19. Guo, Lili & Huang, Xinya & Li, Yanjiao & Li, Houjian, 2023. "Forecasting crude oil futures price using machine learning methods: Evidence from China," Energy Economics, Elsevier, vol. 127(PA).
    20. Zhang, Jin-Liang & Zhang, Yue-Jun & Zhang, Lu, 2015. "A novel hybrid method for crude oil price forecasting," Energy Economics, Elsevier, vol. 49(C), pages 649-659.
    21. García-Carranco, Sergio M. & Bory-Reyes, Juan & Balankin, Alexander S., 2016. "The crude oil price bubbling and universal scaling dynamics of price volatility," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 452(C), pages 60-68.
    22. Wang, Tao & Yang, Jian, 2010. "Nonlinearity and intraday efficiency tests on energy futures markets," Energy Economics, Elsevier, vol. 32(2), pages 496-503, March.
    23. Ghaffari, Ali & Zare, Samaneh, 2009. "A novel algorithm for prediction of crude oil price variation based on soft computing," Energy Economics, Elsevier, vol. 31(4), pages 531-536, July.
    24. Do, Hung Xuan & Nguyen, Quan M.P. & Nepal, Rabindra & Smyth, Russell, 2021. "When Pep comes calling, the oil market answers: The effect of football player transfer movements on abnormal fluctuations in oil price futures," Energy Economics, Elsevier, vol. 100(C).
    25. Li, Yuze & Jiang, Shangrong & Li, Xuerong & Wang, Shouyang, 2021. "The role of news sentiment in oil futures returns and volatility forecasting: Data-decomposition based deep learning approach," Energy Economics, Elsevier, vol. 95(C).
    26. Li, Jinchao & Zhu, Shaowen & Wu, Qianqian, 2019. "Monthly crude oil spot price forecasting using variational mode decomposition," Energy Economics, Elsevier, vol. 83(C), pages 240-253.
    27. Chen, Yanhui & Zhang, Chuan & He, Kaijian & Zheng, Aibing, 2018. "Multi-step-ahead crude oil price forecasting using a hybrid grey wave model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 501(C), pages 98-110.
    28. Cheong, Chin Wen, 2009. "Modeling and forecasting crude oil markets using ARCH-type models," Energy Policy, Elsevier, vol. 37(6), pages 2346-2355, June.
    29. Mostafa, Mohamed M. & El-Masry, Ahmed A., 2016. "Oil price forecasting using gene expression programming and artificial neural networks," Economic Modelling, Elsevier, vol. 54(C), pages 40-53.
    30. Yuan, Ying & Zhuang, Xin-tian & Liu, Zhi-ying & Huang, Wei-qiang, 2014. "Analysis of the temporal properties of price shock sequences in crude oil markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 394(C), pages 235-246.
    31. Xie Haibin & Zhou Mo & Hu Yi & Yu Mei, 2014. "Forecasting the Crude Oil Price with Extreme Values," Journal of Systems Science and Information, De Gruyter, vol. 2(3), pages 193-205, June.

  218. Cong, Rong-Gang & Wei, Yi-Ming & Jiao, Jian-Lin & Fan, Ying, 2008. "Relationships between oil price shocks and stock market: An empirical analysis from China," Energy Policy, Elsevier, vol. 36(9), pages 3544-3553, September.

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    1. Cheema, Muhammad A. & Scrimgeour, Frank, 2019. "Oil prices and stock market anomalies," Energy Economics, Elsevier, vol. 83(C), pages 578-587.
    2. Burcu Kiran, 2011. "Fractional Cointegration Relationship between Oil Prices and Stock Markets: An Empirical Analysis from G7 Countries," Prague Economic Papers, Prague University of Economics and Business, vol. 2011(2), pages 177-189.
    3. Moya-Martínez, Pablo & Ferrer-Lapeña, Román & Escribano-Sotos, Francisco, 2014. "Oil price risk in the Spanish stock market: An industry perspective," Economic Modelling, Elsevier, vol. 37(C), pages 280-290.
    4. Nasreen, Samia & Anwar, Sofia & Ozturk, Ilhan, 2017. "Financial stability, energy consumption and environmental quality: Evidence from South Asian economies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 67(C), pages 1105-1122.
    5. Day, Min-Yuh & Ni, Yensen & Huang, Paoyu, 2019. "Trading as sharp movements in oil prices and technical trading signals emitted with big data concerns," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 525(C), pages 349-372.
    6. Moreno, Blanca & García-Álvarez, María Teresa & Fonseca, Ana Rosa, 2017. "Fuel prices impacts on stock market of metallurgical industry under the EU emissions trading system," Energy, Elsevier, vol. 125(C), pages 223-233.
    7. Zhang, Guofu & Du, Ziping, 2017. "Co-movements among the stock prices of new energy, high-technology and fossil fuel companies in China," Energy, Elsevier, vol. 135(C), pages 249-256.
    8. Saeed Shavvalpour & Hossein Khanjarpanah & Farhad Zamani & Armin Jabbarzadeh, 2017. "Petrochemical Products Market and Stock Market Returns: Empirical Evidence from Tehran Stock Exchange," Iranian Economic Review (IER), Faculty of Economics,University of Tehran.Tehran,Iran, vol. 21(2), pages 383-403, Spring.
    9. Huang, Shupei & An, Haizhong & Gao, Xiangyun & Sun, Xiaoqi, 2017. "Do oil price asymmetric effects on the stock market persist in multiple time horizons?," Applied Energy, Elsevier, vol. 185(P2), pages 1799-1808.
    10. Robiyanto Robiyanto & Michael Alexander Santoso & Apriani Dorkas Rambu Atahau & Harijono Harijono, 2019. "The Indonesia Stock Exchange and Its Dynamics: An Analysis of the Effect of Macroeconomic Variables," Montenegrin Journal of Economics, Economic Laboratory for Transition Research (ELIT), vol. 15(4), pages 59-73.
    11. Boldanov, Rustam & Degiannakis, Stavros & Filis, George, 2017. "Time-varying correlation between oil and stock market volatilities: Evidence from oil-importing and oil-exporting countries," MPRA Paper 80435, University Library of Munich, Germany.
    12. Xiao, Jihong & Chen, Xian & Li, Yang & Wen, Fenghua, 2022. "Oil price uncertainty and stock price crash risk: Evidence from China," Energy Economics, Elsevier, vol. 112(C).
    13. Narjess Bouslama, 2023. "Interdependence between the BRICS Stock Markets and the Oil Price since the Onset of Financial and Economic Crises," JRFM, MDPI, vol. 16(7), pages 1-22, June.
    14. Mensi, Walid & Hammoudeh, Shawkat & Shahzad, Syed Jawad Hussain & Shahbaz, Muhammad, 2017. "Modeling systemic risk and dependence structure between oil and stock markets using a variational mode decomposition-based copula method," Journal of Banking & Finance, Elsevier, vol. 75(C), pages 258-279.
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    18. Emmanuel Joel Aikins Abakah & Aviral Kumar Tiwari & Imhotep Paul Alagidede & Shawkat Hammoudeh, 2023. "Nonlinearity in the causality and systemic risk spillover between the OPEC oil and GCC equity markets: a pre- and post-financial crisis analysis," Empirical Economics, Springer, vol. 65(3), pages 1027-1103, September.
    19. Cyriac Guillaumin & Jean-Baptiste Gossé, 2012. "Can external shocks explain the Asian side of global imbalances ? Lessons from a structural VAR model with block exogeneity," Post-Print halshs-00706743, HAL.
    20. Liu, Haiying & Pata, Ugur Korkut & Zafar, Muhammad Wasif & Kartal, Mustafa Tevfik & Karlilar, Selin & Caglar, Abdullah Emre, 2023. "Do oil and natural gas prices affect carbon efficiency? Daily evidence from China by wavelet transform-based approaches," Resources Policy, Elsevier, vol. 85(PB).
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    33. He, Pinglin & Sun, Yulong & Niu, Hanlu & Long, Chengfeng & Li, Shufeng, 2021. "The long and short-term effects of environmental tax on energy efficiency: Perspective of OECD energy tax and vehicle traffic tax," Economic Modelling, Elsevier, vol. 97(C), pages 307-325.
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    35. Khraief, Naceur & Shahbaz, Muhammad & Kumar Mahalik, Mantu & Bhattacharya, Mita, 2020. "Movements of oil prices and exchange rates in China and India: New evidence from wavelet-based, non-linear, autoregressive distributed lag estimations," MPRA Paper 103526, University Library of Munich, Germany, revised 13 Oct 2020.
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    2. Cong, Rong-Gang, 2013. "An optimization model for renewable energy generation and its application in China: A perspective of maximum utilization," Renewable and Sustainable Energy Reviews, Elsevier, vol. 17(C), pages 94-103.
    3. Zhang, Xiao-Bing & Qin, Ping & Chen, Xiaolan, 2017. "Strategic oil stockpiling for energy security: The case of China and India," Energy Economics, Elsevier, vol. 61(C), pages 253-260.
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    1. Vivoda, Vlado, 2022. "LNG export diversification and demand security: A comparative study of major exporters," Energy Policy, Elsevier, vol. 170(C).
    2. Carlo Andrea Bollino & Philipp Galkin, 2021. "Energy Security and Portfolio Diversification: Conventional and Novel Perspectives," Energies, MDPI, vol. 14(14), pages 1-24, July.
    3. Xiaolei Sun & Jun Hao & Jianping Li, 2022. "Multi-objective optimization of crude oil-supply portfolio based on interval prediction data," Annals of Operations Research, Springer, vol. 309(2), pages 611-639, February.
    4. Chen, Sai & Song, Yan & Ding, Yueting & Zhang, Ming & Nie, Rui, 2021. "Using long short-term memory model to study risk assessment and prediction of China’s oil import from the perspective of resilience theory," Energy, Elsevier, vol. 215(PB).
    5. Hughes, Larry & de Jong, Moniek & Wang, Xiao Qin, 2016. "A generic method for analyzing the risks to energy systems," Applied Energy, Elsevier, vol. 180(C), pages 895-908.
    6. Jian Xu & Jin-Suo Zhang & Qin Yao & Wei Zhang, 2014. "Is It Feasible for China to Optimize Oil Import Source Diversification?," Sustainability, MDPI, vol. 6(11), pages 1-13, November.
    7. Sun, Xiaolei & Li, Jianping & Tang, Ling & Wu, Dengsheng, 2012. "Identifying the risk-return tradeoff and exploring the dynamic risk exposure of country portfolio of the FSU's oil economies," Economic Modelling, Elsevier, vol. 29(6), pages 2494-2503.
    8. Yang, Yuying & Li, Jianping & Sun, Xiaolei & Chen, Jianming, 2014. "Measuring external oil supply risk: A modified diversification index with country risk and potential oil exports," Energy, Elsevier, vol. 68(C), pages 930-938.
    9. Wu, Gang & Liu, Lan-Cui & Wei, Yi-Ming, 2009. "Comparison of China's oil import risk: Results based on portfolio theory and a diversification index approach," Energy Policy, Elsevier, vol. 37(9), pages 3557-3565, September.
    10. Sun, Xiaolei & Liu, Chang & Chen, Xiuwen & Li, Jianping, 2017. "Modeling systemic risk of crude oil imports: Case of China’s global oil supply chain," Energy, Elsevier, vol. 121(C), pages 449-465.
    11. Sun, Mei & Gao, Cuixia & Shen, Bo, 2014. "Quantifying China's oil import risks and the impact on the national economy," Energy Policy, Elsevier, vol. 67(C), pages 605-611.
    12. An, Qier & Wang, Lang & Qu, Debin & Zhang, Hujun, 2018. "Dependency network of international oil trade before and after oil price drop," Energy, Elsevier, vol. 165(PA), pages 1021-1033.
    13. Ge, Fenglong & Fan, Ying, 2013. "Quantifying the risk to crude oil imports in China: An improved portfolio approach," Energy Economics, Elsevier, vol. 40(C), pages 72-80.
    14. Månsson, André & Johansson, Bengt & Nilsson, Lars J., 2014. "Assessing energy security: An overview of commonly used methodologies," Energy, Elsevier, vol. 73(C), pages 1-14.
    15. He, Shuying & Guo, Kun, 2021. "What factors contribute to the mutual dependence degree of China in its crude oil trading relationship with oil-exporting countries?," Energy, Elsevier, vol. 228(C).
    16. Lan-Cui Liu & Gang Wu, 2015. "Assessment of energy supply vulnerability between China and USA," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 75(2), pages 127-138, February.
    17. Wu, Gang & Zhang, Yue-Jun, 2014. "Does China factor matter? An econometric analysis of international crude oil prices," Energy Policy, Elsevier, vol. 72(C), pages 78-86.
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    22. Vivoda, Vlado, 2019. "LNG import diversification and energy security in Asia," Energy Policy, Elsevier, vol. 129(C), pages 967-974.
    23. Liu, Litao & Cao, Zhi & Liu, Xiaojie & Shi, Lei & Cheng, Shengkui & Liu, Gang, 2020. "Oil security revisited: An assessment based on complex network analysis," Energy, Elsevier, vol. 194(C).
    24. Sun, Xiaolei & Li, Jianping & Wang, Yongfeng & Clark, Woodrow W., 2014. "China's Sovereign Wealth Fund Investments in overseas energy: The energy security perspective," Energy Policy, Elsevier, vol. 65(C), pages 654-661.
    25. Julien-Joern Mueller & Liam Wagner, 2013. "The Devil’s Tears from the Tournament of Shadows: Oil Supply, Markets and Unstable Producers," Energy Economics and Management Group Working Papers 5-2013, School of Economics, University of Queensland, Australia.
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    28. Zhang, Dayong & Ji, Qiang & Kutan, Ali M., 2019. "Dynamic transmission mechanisms in global crude oil prices: Estimation and implications," Energy, Elsevier, vol. 175(C), pages 1181-1193.
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    30. Zhang, Wencheng & Wei, Rui & Peng, Shuijun, 2020. "The oil-slick trade: An analysis of embodied crude oil in China's trade and consumption," Energy Economics, Elsevier, vol. 88(C).
    31. Sato, Masahiro & Kharrazi, Ali & Nakayama, Hirofumi & Kraines, Steven & Yarime, Masaru, 2017. "Quantifying the supplier-portfolio diversity of embodied energy: Strategic implications for strengthening energy resilience," Energy Policy, Elsevier, vol. 105(C), pages 41-52.
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  223. Wei, Yi-Ming & Liu, Lan-Cui & Fan, Ying & Wu, Gang, 2007. "The impact of lifestyle on energy use and CO2 emission: An empirical analysis of China's residents," Energy Policy, Elsevier, vol. 35(1), pages 247-257, January.

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    2. Yu, Biying & Zhang, Junyi & Fujiwara, Akimasa, 2011. "Representing in-home and out-of-home energy consumption behavior in Beijing," Energy Policy, Elsevier, vol. 39(7), pages 4168-4177, July.
    3. Lina Liu & Jiansheng Qu & Tek Narayan Maraseni & Yibo Niu & Jingjing Zeng & Lihua Zhang & Li Xu, 2020. "Household CO 2 Emissions: Current Status and Future Perspectives," IJERPH, MDPI, vol. 17(19), pages 1-19, September.
    4. Xinkuo Xu & Liyan Han, 2017. "Diverse Effects of Consumer Credit on Household Carbon Emissions at Quantiles: Evidence from Urban China," Sustainability, MDPI, vol. 9(9), pages 1-25, September.
    5. Schmidt, Stephan & Weigt, Hannes, 2013. "A Review on Energy Consumption from a Socio-Economic Perspective: Reduction through Energy Efficiency and Beyond," Working papers 2013/15, Faculty of Business and Economics - University of Basel.
    6. Zhang, L.X. & Wang, C.B. & Bahaj, A.S., 2014. "Carbon emissions by rural energy in China," Renewable Energy, Elsevier, vol. 66(C), pages 641-649.
    7. Zhang, Chuanguo & Tan, Zheng, 2016. "The relationships between population factors and China's carbon emissions: Does population aging matter?," Renewable and Sustainable Energy Reviews, Elsevier, vol. 65(C), pages 1018-1025.
    8. De Lauretis, Simona & Ghersi, Frédéric & Cayla, Jean-Michel, 2017. "Energy consumption and activity patterns: An analysis extended to total time and energy use for French households," Applied Energy, Elsevier, vol. 206(C), pages 634-648.
    9. Tianyi Zeng & Hong Jin & Xu Gang & Zihang Kang & Jiayi Luan, 2022. "County Economy, Population, Construction Land, and Carbon Intensity in a Shrinkage Scenario," Sustainability, MDPI, vol. 14(17), pages 1-16, August.
    10. Wei, Rui & Zhang, Wencheng & Peng, Shuijun, 2022. "Energy and greenhouse gas footprints of China households during 1995–2019: A global perspective," Energy Policy, Elsevier, vol. 164(C).
    11. Ding, Qun & Cai, Wenjia & Wang, Can & Sanwal, Mukul, 2017. "The relationships between household consumption activities and energy consumption in china— An input-output analysis from the lifestyle perspective," Applied Energy, Elsevier, vol. 207(C), pages 520-532.
    12. Li, Jun & Zhang, Dayong & Su, Bin, 2019. "The Impact of Social Awareness and Lifestyles on Household Carbon Emissions in China," Ecological Economics, Elsevier, vol. 160(C), pages 145-155.
    13. Zhenkai Yang & Mei-Chih Wang & Tsangyao Chang & Wing-Keung Wong & Fangjhy Li, 2022. "Which Factors Determine CO 2 Emissions in China? Trade Openness, Financial Development, Coal Consumption, Economic Growth or Urbanization: Quantile Granger Causality Test," Energies, MDPI, vol. 15(7), pages 1-18, March.
    14. Wenwen Wang & Ming Zhang, 2015. "Direct and indirect energy consumption of rural households in China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 79(3), pages 1693-1705, December.
    15. Yang, Jing & Wu, Jingli & He, Tao & Li, Lingyue & Han, Dezhi & Wang, Zhiqi & Wu, Jinhu, 2016. "Energy gases and related carbon emissions in China," Resources, Conservation & Recycling, Elsevier, vol. 113(C), pages 140-148.
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    17. Zhaohua Wang & Wei Liu & Jianhua Yin, 2015. "Driving forces of indirect carbon emissions from household consumption in China: an input–output decomposition analysis," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 75(2), pages 257-272, February.
    18. Chen, G.Q. & Yang, Q. & Zhao, Y.H. & Wang, Z.F., 2011. "Nonrenewable energy cost and greenhouse gas emissions of a 1.5Â MW solar power tower plant in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(4), pages 1961-1967, May.
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    24. Haiwei Jiang & Yiyao He, 2022. "Evaluation of Optimal Policy on Environmental Change through Green Consumption," Sustainability, MDPI, vol. 14(9), pages 1-14, April.
    25. Zhao, Xiaoli & Li, Na & Ma, Chunbo, 2011. "Residential Energy Consumption in Urban China," Working Papers 117810, University of Western Australia, School of Agricultural and Resource Economics.
    26. Al-mulali, Usama & Fereidouni, Hassan Gholipour & Lee, Janice Y.M. & Sab, Che Normee Binti Che, 2013. "Exploring the relationship between urbanization, energy consumption, and CO2 emission in MENA countries," Renewable and Sustainable Energy Reviews, Elsevier, vol. 23(C), pages 107-112.
    27. Zhen, Wei & Qin, Quande & Zhong, Zhangqi & Li, Li & Wei, Yi-Ming, 2018. "Uncovering household indirect energy-saving responsibility from a sectoral perspective: An empirical analysis of Guangdong, China," Energy Economics, Elsevier, vol. 72(C), pages 451-461.
    28. Papathanasopoulou, Eleni & Beaumont, Nicola & Hooper, Tara & Nunes, Joana & Queirós, Ana M., 2015. "Energy systems and their impacts on marine ecosystem services," Renewable and Sustainable Energy Reviews, Elsevier, vol. 52(C), pages 917-926.
    29. Huihui Wang & Weihua Zeng, 2019. "Revealing Urban Carbon Dioxide (CO 2 ) Emission Characteristics and Influencing Mechanisms from the Perspective of Commuting," Sustainability, MDPI, vol. 11(2), pages 1-22, January.
    30. Lan-Cui Liu & Gang Wu & Jin-Nan Wang & Yi-Ming Wei, 2010. "China's carbon emissions from urban and rural households during 1992-2007," CEEP-BIT Working Papers 12, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
    31. Jingjing Chen & Yangyang Lin & Xiaojun Wang & Bingjing Mao & Lihong Peng, 2022. "Direct and Indirect Carbon Emission from Household Consumption Based on LMDI and SDA Model: A Decomposition and Comparison Analysis," Energies, MDPI, vol. 15(14), pages 1-22, July.
    32. Fan, Jing-Li & Zhang, Yue-Jun & Wang, Bing, 2017. "The impact of urbanization on residential energy consumption in China: An aggregated and disaggregated analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 75(C), pages 220-233.
    33. Yuan, Baolong & Ren, Shenggang & Chen, Xiaohong, 2015. "The effects of urbanization, consumption ratio and consumption structure on residential indirect CO2 emissions in China: A regional comparative analysis," Applied Energy, Elsevier, vol. 140(C), pages 94-106.
    34. Zhou, Qiang & Liu, Yong & Qu, Shen, 2022. "Emission effects of China's rural revitalization: The nexus of infrastructure investment, household income, and direct residential CO2 emissions," Renewable and Sustainable Energy Reviews, Elsevier, vol. 167(C).
    35. Liquan Xu & Yong Geng & Dong Wu & Chenyi Zhang & Shijiang Xiao, 2021. "Carbon Footprint of Residents’ Housing Consumption and Its Driving Forces in China," Energies, MDPI, vol. 14(13), pages 1-16, June.
    36. Xi Chen & Yingying Zhen & Zhanming Chen, 2023. "Household Carbon Footprint Characteristics and Driving Factors: A Global Comparison Based on a Dynamic Input–Output Model," Energies, MDPI, vol. 16(9), pages 1-18, May.
    37. Cheng, Xiu & Long, Ruyin & Chen, Hong & Yang, Jiahui, 2019. "Does social interaction have an impact on residents’ sustainable lifestyle decisions? A multi-agent stimulation based on regret and game theory," Applied Energy, Elsevier, vol. 251(C), pages 1-1.
    38. Zhou, Yang & Liu, Yansui & Wu, Wenxiang & Li, Yurui, 2015. "Effects of rural–urban development transformation on energy consumption and CO2 emissions: A regional analysis in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 52(C), pages 863-875.
    39. Lebunu Hewage Udara Willhelm Abeydeera & Jayantha Wadu Mesthrige & Tharushi Imalka Samarasinghalage, 2019. "Global Research on Carbon Emissions: A Scientometric Review," Sustainability, MDPI, vol. 11(14), pages 1-25, July.
    40. Chaisri Tarasawatpipat & Thammarak Srimarut & Witthaya Mekhum, 2020. "Seeing Domestic and Industrial Logistic in Context of CO2 Emission: Role of Container Port Traffic, Railway Transport, and Air Transport Intensity in Thailand," International Journal of Energy Economics and Policy, Econjournals, vol. 10(5), pages 570-576.
    41. Aleksandra Matuszewska-Janica & Dorota Żebrowska-Suchodolska & Agnieszka Mazur-Dudzińska, 2021. "The Situation of Households on the Energy Market in the European Union: Consumption, Prices, and Renewable Energy," Energies, MDPI, vol. 14(19), pages 1-21, October.
    42. Donglan, Zha & Dequn, Zhou & Peng, Zhou, 2010. "Driving forces of residential CO2 emissions in urban and rural China: An index decomposition analysis," Energy Policy, Elsevier, vol. 38(7), pages 3377-3383, July.
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    47. Wei Li & Zhijie Jia, 2017. "Carbon tax, emission trading, or the mixed policy: which is the most effective strategy for climate change mitigation in China?," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 22(6), pages 973-992, August.
    48. Zhu, Lei & Zhang, Xiao-Bing & Li, Yuan & Wang, Xu & Guo, Jianxin, 2017. "Can an emission trading scheme promote the withdrawal of outdated capacity in energy-intensive sectors? A case study on China's iron and steel industry," Energy Economics, Elsevier, vol. 63(C), pages 332-347.
    49. Yi-Ming Wei & Zhi-Fu Mi & Zhiming Huang, 2014. "Climate policy modeling: An online SCI-E and SSCI based literature review," CEEP-BIT Working Papers 58, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
    50. Chen, Shiyi, 2013. "What is the potential impact of a taxation system reform on carbon abatement and industrial growth in China?," Economic Systems, Elsevier, vol. 37(3), pages 369-386.
    51. Donatella Baiardi & Simona Scabrosetti, 2020. "Does the quality of political institutions matter for the effectiveness of environmental taxes? An empirical analysis on CO2 emissions," Working papers 92, Società Italiana di Economia Pubblica.
    52. Liu, Hong-Tao & Guo, Ju-E & Qian, Dong & Xi, You-Min, 2009. "Comprehensive evaluation of household indirect energy consumption and impacts of alternative energy policies in China by input-output analysis," Energy Policy, Elsevier, vol. 37(8), pages 3194-3204, August.
    53. Fan, Jing-Li & Kong, Ling-Si & Zhang, Xian, 2018. "Synergetic effects of water and climate policy on energy-water nexus in China: A computable general equilibrium analysis," Energy Policy, Elsevier, vol. 123(C), pages 308-317.
    54. Alexandra-Anca Purcel, 2019. "Does Political Stability Hinder Pollution? Evidence From Developing States," Economic Research Guardian, Weissberg Publishing, vol. 9(2), pages 75-98, December.
    55. Dong, Yan & Whalley, John, 2012. "Joint non-OPEC carbon taxes and the transfer of OPEC monopoly rents," Journal of Policy Modeling, Elsevier, vol. 34(1), pages 49-63.
    56. Li, Ji Feng & Wang, Xin & Zhang, Ya Xiong & Kou, Qin, 2014. "The economic impact of carbon pricing with regulated electricity prices in China—An application of a computable general equilibrium approach," Energy Policy, Elsevier, vol. 75(C), pages 46-56.
    57. Anping Chen & Nicolaas Groenewold, 2013. "Regional Effects in China of an Emissions-Reduction Policy: Tax v. Subsidy," ERSA conference papers ersa13p1275, European Regional Science Association.
    58. Thepkhun, Panida & Limmeechokchai, Bundit & Fujimori, Shinichiro & Masui, Toshihiko & Shrestha, Ram M., 2013. "Thailand's Low-Carbon Scenario 2050: The AIM/CGE analyses of CO2 mitigation measures," Energy Policy, Elsevier, vol. 62(C), pages 561-572.
    59. Chen, Anping & Groenewold, Nicolaas, 2015. "Emission reduction policy: A regional economic analysis for China," Economic Modelling, Elsevier, vol. 51(C), pages 136-152.
    60. Huifang Tian & John Whalley, 2009. "Trade Sanctions, Financial Transfers and BRIC's Participation in Global Climate Change Negotiations," CESifo Working Paper Series 2698, CESifo.
    61. Norouzi, Nima & Fani, Maryam & Talebi, Saeed, 2022. "Green tax as a path to greener economy: A game theory approach on energy and final goods in Iran," Renewable and Sustainable Energy Reviews, Elsevier, vol. 156(C).
    62. You, Jing, 2013. "China's challenge for decarbonized growth: Forecasts from energy demand models," Journal of Policy Modeling, Elsevier, vol. 35(4), pages 652-668.
    63. Sebastian Miller & Mauricio Vela, 2013. "Are Environmentally Related Taxes Effective?," Research Department Publications IDB-WP-467, Inter-American Development Bank, Research Department.
    64. Jiang, Hong-Dian & Liu, Li-Jing & Dong, Kangyin & Fu, Yu-Wei, 2022. "How will sectoral coverage in the carbon trading system affect the total oil consumption in China? A CGE-based analysis," Energy Economics, Elsevier, vol. 110(C).
    65. Liang, Qiao-Mei & Wei, Yi-Ming, 2012. "Distributional impacts of taxing carbon in China: Results from the CEEPA model," Applied Energy, Elsevier, vol. 92(C), pages 545-551.
    66. Qiao-Mei Liang & Yi-Ming Wei, 2011. "Distributional impacts of taxing carbon in China: a general equilibrium analysis," CEEP-BIT Working Papers 29, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
    67. Daniel Johansson & Paul Lucas & Matthias Weitzel & Erik Ahlgren & A. Bazaz & Wenying Chen & Michel Elzen & Joydeep Ghosh & Maria Grahn & Qiao-Mei Liang & Sonja Peterson & Basanta Pradhan & Bas Ruijven, 2015. "Multi-model comparison of the economic and energy implications for China and India in an international climate regime," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 20(8), pages 1335-1359, December.
    68. Lin, Weiming & Chen, Jianling & Zheng, Yi & Dai, Yongwu, 2019. "Effects of the EU Emission Trading Scheme on the international competitiveness of pulp-and-paper industry," Forest Policy and Economics, Elsevier, vol. 109(C).
    69. Teng, Qiang & Zhang, Yu-Fei & Jiang, Hong-Dian & Liang, Qiao-Mei, 2023. "Economy-wide assessment of achieving carbon neutrality in China's power sector: A computable general equilibrium analysis," Renewable Energy, Elsevier, vol. 219(P2).
    70. Aleksandra Kuzior & Yaryna Samusevych & Serhiy Lyeonov & Dariusz Krawczyk & Dymytrii Grytsyshen, 2023. "Applying Energy Taxes to Promote a Clean, Sustainable and Secure Energy System: Finding the Preferable Approaches," Energies, MDPI, vol. 16(10), pages 1-26, May.
    71. Yang, Mian & Fan, Ying & Yang, Fuxia & Hu, Hui, 2014. "Regional disparities in carbon dioxide reduction from China's uniform carbon tax: A perspective on interfactor/interfuel substitution," Energy, Elsevier, vol. 74(C), pages 131-139.
    72. Yun-Fei Yao & Qiao-Mei Liang, 2016. "Approaches to carbon allowance allocation in China: a computable general equilibrium analysis," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 84(1), pages 333-351, November.
    73. Jiang, Hong-Dian & Dong, Kangyin & Qing, Jing & Teng, Qiang, 2023. "The role of technical change in low-carbon transformation and crises in the electricity market: A CGE analysis with R&D investment," Energy Economics, Elsevier, vol. 125(C).
    74. Rafique, Muhammad Zahid & Fareed, Zeeshan & Ferraz, Diogo & Ikram, Majid & Huang, Shaoan, 2022. "Exploring the heterogenous impacts of environmental taxes on environmental footprints: An empirical assessment from developed economies," Energy, Elsevier, vol. 238(PA).
    75. Loganathan, Nanthakumar & Shahbaz, Muhammad & Taha, Roshaiza, 2014. "The link between green taxation and economic growth on CO2 emissions: Fresh evidence from Malaysia," Renewable and Sustainable Energy Reviews, Elsevier, vol. 38(C), pages 1083-1091.
    76. Bao, Qin & Tang, Ling & Zhang, ZhingXiang & Qiao, Han & Wang, Shouyang, 2012. "Impact of Border Carbon Adjustments on China’s Sectoral Emissions: Simulations with a Dynamic Computable General Equilibirum Model," Working Papers 249391, Australian National University, Centre for Climate Economics & Policy.
    77. Dai, Hancheng & Masui, Toshihiko & Matsuoka, Yuzuru & Fujimori, Shinichiro, 2011. "Assessment of China's climate commitment and non-fossil energy plan towards 2020 using hybrid AIM/CGE model," Energy Policy, Elsevier, vol. 39(5), pages 2875-2887, May.
    78. Yuanying Chi & Zhengquan Guo & Yuhua Zheng & Xingping Zhang, 2014. "Scenarios Analysis of the Energies’ Consumption and Carbon Emissions in China Based on a Dynamic CGE Model," Sustainability, MDPI, vol. 6(2), pages 1-26, January.
    79. Qian Wang & Qiao-Mei Liang, 2015. "Will a carbon tax hinder China’s efforts to improve its primary income distribution status?," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 20(8), pages 1407-1436, December.
    80. Qiao-Mei Liang & Yun-Fei Yao & Lu-Tao Zhao & Ce Wang & Rui-Guang Yang & Yi-Ming Wei, 2013. "Platform for China Energy & Environmental Policy Analysis: A general design and its application," CEEP-BIT Working Papers 43, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
    81. Bao, Qin & Yang, Xiaoguang, 2013. "Impacts of the Euro Sovereign Debt Crisis for China: A CGE Analysis," Conference papers 332338, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    82. Yoshihiro Hamaguchi, 2024. "Whether to Abolish or Introduce Dual Regulation as Trade and Environmental Policy?," China & World Economy, Institute of World Economics and Politics, Chinese Academy of Social Sciences, vol. 32(1), pages 57-95, January.
    83. Marian Zaharia & Aurelia Pătrașcu & Manuela Rodica Gogonea & Ana Tănăsescu & Constanța Popescu, 2017. "A Cluster Design on the Influence of Energy Taxation in Shaping the New EU-28 Economic Paradigm," Energies, MDPI, vol. 10(2), pages 1-21, February.
    84. Wesseh, Presley K. & Lin, Boqiang & Atsagli, Philip, 2017. "Carbon taxes, industrial production, welfare and the environment," Energy, Elsevier, vol. 123(C), pages 305-313.
    85. Genovaitė Liobikienė & Mindaugas Butkus & Kristina Matuzevičiūtė, 2019. "The Contribution of Energy Taxes to Climate Change Policy in the European Union (EU)," Resources, MDPI, vol. 8(2), pages 1-23, April.
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  225. Ling-Yun He & Ying Fan & Yi-Ming Wei, 2007. "The empirical analysis for fractal features and long-run memory mechanism in petroleum pricing systems," International Journal of Global Energy Issues, Inderscience Enterprises Ltd, vol. 27(4), pages 492-502.

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    1. He, Ling-Yun & Qian, Wen-Bin, 2012. "A Monte Carlo simulation to the performance of the R/S and V/S methods—Statistical revisit and real world application," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(14), pages 3770-3782.
    2. Hongtao Chen & Lianghua Chen, 2015. "Multifractal spectrum analysis of Brent crude oil futures prices volatility in intercontinental exchange," International Journal of Global Energy Issues, Inderscience Enterprises Ltd, vol. 38(1/2/3), pages 93-108.
    3. He, Ling-Yun & Fan, Ying & Wei, Yi-Ming, 2009. "Impact of speculator's expectations of returns and time scales of investment on crude oil price behaviors," Energy Economics, Elsevier, vol. 31(1), pages 77-84, January.
    4. Di Sanzo, Silvestro, 2018. "A Markov switching long memory model of crude oil price return volatility," Energy Economics, Elsevier, vol. 74(C), pages 351-359.
    5. Aslam, Faheem & Aziz, Saqib & Nguyen, Duc Khuong & Mughal, Khurrum S. & Khan, Maaz, 2020. "On the efficiency of foreign exchange markets in times of the COVID-19 pandemic," Technological Forecasting and Social Change, Elsevier, vol. 161(C).
    6. He, Ling-Yun & Chen, Shu-Peng, 2011. "A new approach to quantify power-law cross-correlation and its application to commodity markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 390(21), pages 3806-3814.
    7. Faheem Aslam & Wahbeeah Mohti & Paulo Ferreira, 2020. "Evidence of Intraday Multifractality in European Stock Markets during the Recent Coronavirus (COVID-19) Outbreak," IJFS, MDPI, vol. 8(2), pages 1-13, May.
    8. Chen, Shu-Peng & He, Ling-Yun, 2010. "Multifractal spectrum analysis of nonlinear dynamical mechanisms in China’s agricultural futures markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(7), pages 1434-1444.
    9. Vogl, Markus, 2023. "Hurst exponent dynamics of S&P 500 returns: Implications for market efficiency, long memory, multifractality and financial crises predictability by application of a nonlinear dynamics analysis framewo," Chaos, Solitons & Fractals, Elsevier, vol. 166(C).
    10. Yue-Jun Zhang & Ting Yao & Zi-Yi Wang, 2015. "The bubble process of international crude oil futures prices: empirical evidence from the STAR model," International Journal of Global Energy Issues, Inderscience Enterprises Ltd, vol. 38(1/2/3), pages 109-125.
    11. He, Ling-Yun & Chen, Shu-Peng, 2010. "Are developed and emerging agricultural futures markets multifractal? A comparative perspective," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(18), pages 3828-3836.
    12. He, Ling-Yun & Chen, Shu-Peng, 2010. "Are crude oil markets multifractal? Evidence from MF-DFA and MF-SSA perspectives," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(16), pages 3218-3229.
    13. Aslam, Faheem & Memon, Bilal Ahmed & Hunjra, Ahmed Imran & Bouri, Elie, 2023. "The dynamics of market efficiency of major cryptocurrencies," Global Finance Journal, Elsevier, vol. 58(C).
    14. Zhi-Hong Han & Sheng Yang & Mu-Ling Chen & Ling-Yun He, 2015. "Mean spillover effect between crude oil and gasoline markets: an empirical result," International Journal of Global Energy Issues, Inderscience Enterprises Ltd, vol. 38(1/2/3), pages 49-68.

  226. Fan, Ying & Yang, Rui-Guang & Wei, Yi-Ming, 2007. "A system dynamics based model for coal investment," Energy, Elsevier, vol. 32(6), pages 898-905.

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    1. Armin Leopold, 2016. "Energy related system dynamic models: a literature review," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 24(1), pages 231-261, March.
    2. Ibrahim Abada & Vincent Briat & Olivier Massol, 2011. "Construction of a fuel demand function portraying interfuel substitution, a system dynamics approach," Working Papers hal-02472342, HAL.
    3. Yu, Shiwei & Wei, Yi-ming, 2012. "Prediction of China's coal production-environmental pollution based on a hybrid genetic algorithm-system dynamics model," Energy Policy, Elsevier, vol. 42(C), pages 521-529.
    4. Arango-Aramburo, Santiago & Bernal-García, Sebastián & Larsen, Erik R., 2021. "Renewable energy sources and the cycles in deregulated electricity markets," Energy, Elsevier, vol. 223(C).
    5. Jianzhong Xiao & Jinhua Cheng & Jun Shen & Xiaolin Wang, 2017. "A System Dynamics Analysis of Investment, Technology and Policy that Affect Natural Gas Exploration and Exploitation in China," Energies, MDPI, vol. 10(2), pages 1-19, January.
    6. Yang, Honglin & Wang, Lin & Tian, Lixin, 2015. "Evolution of competition in energy alternative pathway and the influence of energy policy on economic growth," Energy, Elsevier, vol. 88(C), pages 223-233.

  227. Fan, Ying & Liao, Hua & Wei, Yi-Ming, 2007. "Can market oriented economic reforms contribute to energy efficiency improvement? Evidence from China," Energy Policy, Elsevier, vol. 35(4), pages 2287-2295, April.

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    1. Fisher-Vanden, Karen & Hu, Yong & Jefferson, Gary & Rock, Michael & Toman, Michael, 2013. "Factors influencing energy intensity in four Chinese industries," Policy Research Working Paper Series 6551, The World Bank.
    2. Fu, Tong & Jian, Ze, 2020. "A developmental state: How to allocate electricity efficiently in a developing country," Energy Policy, Elsevier, vol. 138(C).
    3. Teng, Meixuan & Burke, Paul J. & Liao, Hua, 2019. "The demand for coal among China's rural households: Estimates of price and income elasticities," Energy Economics, Elsevier, vol. 80(C), pages 928-936.
    4. Tooraj Jamasb & Rabindra Nepal & Govinda R. Timilsina, 2017. "A Quarter Century Effort Yet to Come of Age: A Survey of Electricity Sector Reform in Developing Countries," The Energy Journal, International Association for Energy Economics, vol. 0(Number 3).
    5. Zha, Donglan & Ding, Ning, 2014. "Elasticities of substitution between energy and non-energy inputs in China power sector," Economic Modelling, Elsevier, vol. 38(C), pages 564-571.
    6. Peihao Lai & Minzhe Du & Bing Wang & Ziyue Chen, 2016. "Assessment and Decomposition of Total Factor Energy Efficiency: An Evidence Based on Energy Shadow Price in China," Sustainability, MDPI, vol. 8(5), pages 1-23, April.
    7. Hua Liao & Yi-Ming Wei, 2009. "China's energy consumption: A perspective from Divisia aggregation approach," CEEP-BIT Working Papers 1, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
    8. Zhou, Zhongbing & Qin, Quande & Wei, Yi-Ming, 2020. "Government intervention in energy conservation: Justification and warning," Energy Economics, Elsevier, vol. 90(C).
    9. Rabindra Nepal & Tooraj Jamasb & Clement Allan Tisdell, 2014. "Market-related reforms and increased energy efficiency in transition countries: empirical evidence," Applied Economics, Taylor & Francis Journals, vol. 46(33), pages 4125-4136, November.
    10. Pu-Yan Nie, 2013. "Innovation considering Pollution Emission and Energy Input," Energy & Environment, , vol. 24(6), pages 953-964, October.
    11. Dai, Xiaoyong & Cheng, Liwei, 2016. "Market distortions and aggregate productivity: Evidence from Chinese energy enterprises," Energy Policy, Elsevier, vol. 95(C), pages 304-313.
    12. Suganthi, L. & Samuel, Anand A., 2012. "Energy models for demand forecasting—A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(2), pages 1223-1240.
    13. Wang, Xin, 2011. "On China's energy intensity statistics: Toward a comprehensive and transparent indicator," Energy Policy, Elsevier, vol. 39(11), pages 7284-7289.
    14. Kusaka, Wakana & Kojima, Michikazu & Watanabe, Mariko, 2012. "Environmental consciousness, economic gain and consumer choice of energy efficient appliances in Thailand, China and India," IDE Discussion Papers 345, Institute of Developing Economies, Japan External Trade Organization(JETRO).
    15. Feng, Shenghao & Zhang, Keyu, 2018. "Fuel-factor nesting structures in CGE models of China," Energy Economics, Elsevier, vol. 75(C), pages 274-284.
    16. Zhu, Junpeng & Lin, Boqiang, 2022. "Resource dependence, market-oriented reform, and industrial transformation: Empirical evidence from Chinese cities," Resources Policy, Elsevier, vol. 78(C).
    17. Rabindra Nepal & Tooraj Jamasb, 2013. "Energy efficiency in Market vs Planned Economies: Evidence from Transition Countries," Cambridge Working Papers in Economics 1345, Faculty of Economics, University of Cambridge.
    18. Mian Yang & Zheng Hu & Jiahai Yuan, 2016. "The recent history and successes of China's energy efficiency policy," Wiley Interdisciplinary Reviews: Energy and Environment, Wiley Blackwell, vol. 5(6), pages 715-730, November.
    19. Gatto, Andrea & Drago, Carlo & Panarello, Demetrio & Aldieri, Luigi, 2023. "Energy transition in China: Assessing progress in sustainable development and resilience directions," International Economics, Elsevier, vol. 176(C).
    20. Ma, Chunbo & Stern, David I., 2016. "Long-run estimates of interfuel and interfactor elasticities," Resource and Energy Economics, Elsevier, vol. 46(C), pages 114-130.
    21. Chen, Zhe & Song, Pei & Wang, Baolu, 2021. "Carbon emissions trading scheme, energy efficiency and rebound effect – Evidence from China's provincial data," Energy Policy, Elsevier, vol. 157(C).
    22. Li, Jianglong & Lin, Boqiang, 2017. "Does energy and CO2 emissions performance of China benefit from regional integration?," Energy Policy, Elsevier, vol. 101(C), pages 366-378.
    23. Ma, Hengyun & Oxley, Les & Gibson, John, 2009. "Gradual reforms and the emergence of energy market in China: Evidence from tests for convergence of energy prices," Energy Policy, Elsevier, vol. 37(11), pages 4834-4850, November.
    24. Hengyun Ma & Les Oxley & John Gibson, 2009. "China’s Energy Situation and Its Implications in the New Millennium," Working Papers in Economics 09/01, University of Canterbury, Department of Economics and Finance.
    25. Herrerias, M.J. & Cuadros, A. & Orts, V., 2013. "Energy intensity and investment ownership across Chinese provinces," Energy Economics, Elsevier, vol. 36(C), pages 286-298.
    26. Feng Wang & Yijie Jiang & Wulin Zhang & Fang Yang, 2019. "Elasticity of factor substitution and driving factors of energy intensity in China’s industry," Energy & Environment, , vol. 30(3), pages 385-407, May.
    27. Xiaoli, Zhao & Rui, Yang & Qian, Ma, 2014. "China's total factor energy efficiency of provincial industrial sectors," Energy, Elsevier, vol. 65(C), pages 52-61.
    28. Xiaohua Song & Caiping Zhao & Jingjing Han & Qi Zhang & Jinpeng Liu & Yuanying Chi, 2020. "Measurement and Influencing Factors Research of the Energy and Power Efficiency in China: Based on the Supply-Side Structural Reform Perspective," Sustainability, MDPI, vol. 12(9), pages 1-23, May.
    29. Kong, Yuan & Feng, Chao & Yang, Jun, 2020. "How does China manage its energy market? A perspective of policy evolution," Energy Policy, Elsevier, vol. 147(C).
    30. Liao, Hua & Fan, Ying & Wei, Yi-Ming, 2007. "What induced China's energy intensity to fluctuate: 1997-2006?," Energy Policy, Elsevier, vol. 35(9), pages 4640-4649, September.
    31. Gholami, M. & Barbaresi, A. & Torreggiani, D. & Tassinari, P., 2020. "Upscaling of spatial energy planning, phases, methods, and techniques: A systematic review through meta-analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 132(C).
    32. Du, Gang & Sun, Chuanwang & Fang, Zhongnan, 2015. "Evaluating the Atkinson index of household energy consumption in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 51(C), pages 1080-1087.
    33. Ke Xu & Peiya Zhao, 2023. "Does Green Finance Promote Green Total Factor Productivity? Empirical Evidence from China," Sustainability, MDPI, vol. 15(14), pages 1-26, July.
    34. Ma, Hengyun & Oxley, Les & Gibson, John, 2010. "China's energy economy: A survey of the literature," Economic Systems, Elsevier, vol. 34(2), pages 105-132, June.
    35. Sun, Qi & Xu, Lin & Yin, Hua, 2016. "Energy pricing reform and energy efficiency in China: Evidence from the automobile market," Resource and Energy Economics, Elsevier, vol. 44(C), pages 39-51.
    36. Jianglong Li & Zhi Li, 2018. "Understanding the role of economic transition in enlarging energy price elasticity," The Economics of Transition, The European Bank for Reconstruction and Development, vol. 26(2), pages 253-281, April.
    37. Zhou, Anhua & Li, Jun, 2021. "Investigate the impact of market reforms on the improvement of manufacturing energy efficiency under China’s provincial-level data," Energy, Elsevier, vol. 228(C).
    38. Xueqin Lin & Dai Wang & Yuefang Si, 2015. "Spatially Differentiated Features of Coal Resource Utilisation Efficiency in China," Energy & Environment, , vol. 26(6-7), pages 1129-1145, November.
    39. Yu, Yantuan & Tang, Kai, 2023. "Does financial inclusion improve energy efficiency?," Technological Forecasting and Social Change, Elsevier, vol. 186(PA).
    40. Guo, Jinyu & Ma, Jinji & Li, Zhengqiang & Hong, Jin, 2022. "Building a top-down method based on machine learning for evaluating energy intensity at a fine scale," Energy, Elsevier, vol. 255(C).
    41. Fu, Tong & Chang, Dongfeng & Miao, Chenglin, 2022. "Fuel regulation in a developing country: An interventional perspective," Energy Economics, Elsevier, vol. 113(C).
    42. He, Yongda & Lin, Boqiang, 2019. "Heterogeneity and asymmetric effects in energy resources allocation of the manufacturing sectors in China," Energy, Elsevier, vol. 170(C), pages 1019-1035.
    43. Yan, Huijie, 2015. "Provincial energy intensity in China: The role of urbanization," Energy Policy, Elsevier, vol. 86(C), pages 635-650.
    44. Kahrl, Fredrich & Roland-Holst, David, 2009. "Growth and structural change in China's energy economy," Energy, Elsevier, vol. 34(7), pages 894-903.
    45. Shiyi Chen, 2009. "Engine or drag: Can high energy consumption and CO 2 emission drive the sustainable development of Chinese industry?," Frontiers of Economics in China, Springer;Higher Education Press, vol. 4(4), pages 548-571, December.
    46. Ma, Hengyun & Oxley, Les & Gibson, John, 2009. "Substitution possibilities and determinants of energy intensity for China," Energy Policy, Elsevier, vol. 37(5), pages 1793-1804, May.
    47. Lee, Chien-Chiang & He, Zhi-Wen, 2022. "Natural resources and green economic growth: An analysis based on heterogeneous growth paths," Resources Policy, Elsevier, vol. 79(C).
    48. Yanjie Zhu & Les Oxley & Hengyun Ma & Wenchao Wang, 2016. "The emergence of convergent price clusters in China," The Economics of Transition, The European Bank for Reconstruction and Development, vol. 24(1), pages 69-98, January.
    49. Khayyat, Nabaz T. & Heshmati, Almas, 2014. "Production Risk, Energy Use Efficiency and Productivity of Korean Industries," IZA Discussion Papers 8081, Institute of Labor Economics (IZA).
    50. Khalid, Waqar & Özdeşer, Hüseyin & Jalil, Abdul, 2021. "An empirical analysis of inter-factor and inter-fuel substitution in the energy sector of Pakistan," Renewable Energy, Elsevier, vol. 177(C), pages 953-966.
    51. Yang, Mian & Fan, Ying & Yang, Fuxia & Hu, Hui, 2014. "Regional disparities in carbon dioxide reduction from China's uniform carbon tax: A perspective on interfactor/interfuel substitution," Energy, Elsevier, vol. 74(C), pages 131-139.
    52. Tooraj Jamasb & Rabindra Nepal & Govinda Timilsina & Michael Toman, 2014. "Energy Sector Reform, Economic Efficiency and Poverty Reduction," Discussion Papers Series 529, School of Economics, University of Queensland, Australia.
    53. Xufeng Su & Xiaodong Yang & Jinning Zhang & Jinling Yan & Junfeng Zhao & Jianliang Shen & Qiying Ran, 2021. "Analysis of the Impacts of Economic Growth Targets and Marketization on Energy Efficiency: Evidence from China," Sustainability, MDPI, vol. 13(8), pages 1-17, April.
    54. Jamasb,Tooraj & Nepal,Rabindra & Timilsina,Govinda R., 2015. "A quarter century effort yet to come of age : a survey of power sector reforms in developing countries," Policy Research Working Paper Series 7330, The World Bank.
    55. Pu-yan Nie, 2012. "A monopoly with pollution emissions," Journal of Environmental Planning and Management, Taylor & Francis Journals, vol. 55(6), pages 705-711, September.
    56. Lu, Shenghua & Wang, Hui, 2022. "Market-oriented reform and land use efficiency: Evidence from a regression discontinuity design," Land Use Policy, Elsevier, vol. 115(C).
    57. Zhiwen He & Wenwu Xing & Yongxiu Chen, 2021. "Marketization, Industrial Structure Upgrading, and Energy Efficiency," Energy RESEARCH LETTERS, Asia-Pacific Applied Economics Association, vol. 2(2), pages 1-5.
    58. Smyth, Russell & Narayan, Paresh Kumar & Shi, Hongliang, 2011. "Substitution between energy and classical factor inputs in the Chinese steel sector," Applied Energy, Elsevier, vol. 88(1), pages 361-367, January.
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    3. Leman ERDAL, 2015. "Determinants of Energy Supply Security: An Econometric Analysis For Turkey," Ege Academic Review, Ege University Faculty of Economics and Administrative Sciences, vol. 15(2), pages 153-163.
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    5. Qiu Chen & Haoran Yang & Wenguo Wang & Tianbiao Liu, 2019. "Beyond the City: Effects of Urbanization on Rural Residential Energy Intensity and CO 2 Emissions," Sustainability, MDPI, vol. 11(8), pages 1-21, April.
    6. Sun, Yong & Liu, Baoyin & Sun, Zhongrui & Yang, Ruijia, 2023. "Inter-regional cooperation in the transfers of energy-intensive industry: An evolutionary game approach," Energy, Elsevier, vol. 282(C).
    7. Hua Liao & Yi-Ming Wei, 2009. "China's energy consumption: A perspective from Divisia aggregation approach," CEEP-BIT Working Papers 1, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
    8. Jin Zhang & David C. Broadstock, 2016. "The Causality between Energy Consumption and Economic Growth for China in a Time-varying Framework," The Energy Journal, , vol. 37(1_suppl), pages 29-54, January.
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    10. Yanrui Wu, 2011. "Energy Intensity and its Determinants in China's Regional Economies," Economics Discussion / Working Papers 11-25, The University of Western Australia, Department of Economics.
    11. Wang, Miao & Feng, Chao, 2017. "Analysis of energy-related CO2 emissions in China’s mining industry: Evidence and policy implications," Resources Policy, Elsevier, vol. 53(C), pages 77-87.
    12. Lin Yang & Yunfei Yao & Jiutian Zhang & Xian Zhang & Karl J. McAlinden, 2016. "A CGE analysis of carbon market impact on CO2 emission reduction in China: a technology-led approach," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 81(2), pages 1107-1128, March.
    13. Amira Ben Hammamia & Ahlem Dakhlaoui & Abdessalem Abbassi, 2014. "Analysis of the Decomposition of Energy Intensity in Tunisia," International Journal of Energy Economics and Policy, Econjournals, vol. 4(3), pages 420-426.
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    61. Wang, Ke & Wei, Yi-Ming & Zhang, Xian, 2012. "A comparative analysis of China’s regional energy and emission performance: Which is the better way to deal with undesirable outputs?," Energy Policy, Elsevier, vol. 46(C), pages 574-584.
    62. Elliott, Robert J.R. & Sun, Puyang & Zhu, Tong, 2017. "The direct and indirect effect of urbanization on energy intensity: A province-level study for China," Energy, Elsevier, vol. 123(C), pages 677-692.
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    65. Ouyang, Xiaoling & Chen, Jiaqi & Du, Kerui, 2021. "Energy efficiency performance of the industrial sector: From the perspective of technological gap in different regions in China," Energy, Elsevier, vol. 214(C).
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    2. Jian Liu & Qingshan Yang & Yu Zhang & Wen Sun & Yiming Xu, 2019. "Analysis of CO 2 Emissions in China’s Manufacturing Industry Based on Extended Logarithmic Mean Division Index Decomposition," Sustainability, MDPI, vol. 11(1), pages 1-28, January.
    3. M'raihi, Rafaa & Mraihi, Talel & Harizi, Riadh & Taoufik Bouzidi, Mohamed, 2015. "Carbon emissions growth and road freight: Analysis of the influencing factors in Tunisia," Transport Policy, Elsevier, vol. 42(C), pages 121-129.
    4. Bo Chen & Han Wang & Jishun Zhou, 2022. "Producer service foreign direct investment and pollution in China," The World Economy, Wiley Blackwell, vol. 45(10), pages 3294-3311, October.
    5. Jialing Zou & Zhipeng Tang & Shuang Wu, 2019. "Divergent Leading Factors in Energy-Related CO 2 Emissions Change among Subregions of the Beijing–Tianjin–Hebei Area from 2006 to 2016: An Extended LMDI Analysis," Sustainability, MDPI, vol. 11(18), pages 1-17, September.
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  232. Ying Fan & Jian-Ling Jiao & Qiao-Mei Liang & Zhi-Yong Han & Yi-Ming Wei, 2007. "The impact of rising international crude oil price on China's economy: an empirical analysis with CGE model," International Journal of Global Energy Issues, Inderscience Enterprises Ltd, vol. 27(4), pages 404-424.

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    1. Cong, Rong-Gang & Shen, Shaochuan, 2013. "Relationships among Energy Price Shocks, Stock Market, and the Macroeconomy: Evidence from China," MPRA Paper 112211, University Library of Munich, Germany.
    2. Cong, Rong-Gang & Wei, Yi-Ming & Jiao, Jian-Lin & Fan, Ying, 2008. "Relationships between oil price shocks and stock market: An empirical analysis from China," Energy Policy, Elsevier, vol. 36(9), pages 3544-3553, September.
    3. Wensheng Kang & Ronald A. Ratti, 2015. "Oil shocks, policy uncertainty and stock returns in China," The Economics of Transition, The European Bank for Reconstruction and Development, vol. 23(4), pages 657-676, October.
    4. Jean-Pierre Allegret & Cécile Couharde & Cyriac Guillaumin, 2012. "The Impact of External Shocks in East Asia: Lessons from a Structural VAR Model with Block Exogeneity," Post-Print hal-01385863, HAL.
    5. David C Broadstock & Hong Cao & Dayong Zhang, 2012. "Oil Shocks and their Impact on Energy Related Stocks in China," Surrey Energy Economics Centre (SEEC), School of Economics Discussion Papers (SEEDS) 137, Surrey Energy Economics Centre (SEEC), School of Economics, University of Surrey.
    6. Amrita Ganguly & Koushik Das, 2016. "Impacts of Falling Crude Oil Prices and Reduction of Energy Subsidies on the Indian Economy: A CGE Modelling Approach," Vision, , vol. 20(4), pages 345-360, December.
    7. Zhang, Dayong & Broadstock, David C. & Cao, Hong, 2014. "International oil shocks and household consumption in China," Energy Policy, Elsevier, vol. 75(C), pages 146-156.
    8. Sun, Ting-Ting & Su, Chi-Wei & Mirza, Nawazish & Umar, Muhammad, 2021. "How does trade policy uncertainty affect agriculture commodity prices?," Pacific-Basin Finance Journal, Elsevier, vol. 66(C).
    9. Ju, Keyi & Su, Bin & Zhou, Dequn & Zhang, Yuqiang, 2016. "An incentive-oriented early warning system for predicting the co-movements between oil price shocks and macroeconomy," Applied Energy, Elsevier, vol. 163(C), pages 452-463.
    10. Bhattacharyya, Ranajoy & Ganguly, Amrita, 2017. "Cross subsidy removal in electricity pricing in India," Energy Policy, Elsevier, vol. 100(C), pages 181-190.
    11. Zhang, Jiaming & Guo, Songlin & Dou, Bin & Xie, Bingyuan, 2023. "Evidence of the internationalization of China's crude oil futures: Asymmetric linkages to global financial risks," Energy Economics, Elsevier, vol. 127(PA).
    12. Ju, Keyi & Zhou, Dequn & Zhou, P. & Wu, Junmin, 2014. "Macroeconomic effects of oil price shocks in China: An empirical study based on Hilbert–Huang transform and event study," Applied Energy, Elsevier, vol. 136(C), pages 1053-1066.
    13. Qin, Meng & Su, Chi-Wei & Hao, Lin-Na & Tao, Ran, 2020. "The stability of U.S. economic policy: Does it really matter for oil price?," Energy, Elsevier, vol. 198(C).
    14. Wensheng Kang & Ronald A. Ratti, 2014. "Policy Uncertainty in China, Oil Shocks and Stock Returns," CAMA Working Papers 2014-32, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    15. Qiao-Mei Liang & Yun-Fei Yao & Lu-Tao Zhao & Ce Wang & Rui-Guang Yang & Yi-Ming Wei, 2013. "Platform for China Energy & Environmental Policy Analysis: A general design and its application," CEEP-BIT Working Papers 43, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
    16. Li, Zepei & Huang, Haizhen, 2023. "Challenges for volatility forecasts of US fossil energy spot markets during the COVID-19 crisis," International Review of Economics & Finance, Elsevier, vol. 86(C), pages 31-45.

  233. Han, Zhi-Yong & Fan, Ying & Jiao, Jian-Ling & Yan, Ji-Sheng & Wei, Yi-Ming, 2007. "Energy structure, marginal efficiency and substitution rate: An empirical study of China," Energy, Elsevier, vol. 32(6), pages 935-942.

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    1. Chang, Ming-Chung, 2016. "Applying the energy productivity index that considers maximized energy reduction on SADC (Southern Africa Development Community) members," Energy, Elsevier, vol. 95(C), pages 313-323.
    2. Zhao-Hua Wang & Hua-Lin Zeng & Yi-Ming Wei & Yi-Xiang Zhang, 2011. "Regional total factor energy efficiency: An empirical analysis of industrial sector in China," CEEP-BIT Working Papers 26, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
    3. Chia-Jung Tu & Ming-Chung Chang & Chiang-Ping Chen, 2016. "Progressive Time-Weighted Dynamic Energy Efficiency, Energy Decoupling Rate, and Decarbonization: An Empirical Study on G7 and BRICS," Sustainability, MDPI, vol. 8(9), pages 1-17, September.
    4. Ma, Linwei & Liu, Pei & Fu, Feng & Li, Zheng & Ni, Weidou, 2011. "Integrated energy strategy for the sustainable development of China," Energy, Elsevier, vol. 36(2), pages 1143-1154.
    5. Tengfei Huo & Hong Ren & Weiguang Cai & Wei Feng & Miaohan Tang & Nan Zhou, 2018. "The total-factor energy productivity growth of China’s construction industry: evidence from the regional level," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 92(3), pages 1593-1616, July.
    6. Wang, Shiyan & Li, Chengjiang & Zhang, Wei & Sui, Jingyu & Negnevitsky, Michael, 2024. "Assessing the impact of prefabricated buildings on urban green total factor energy efficiency," Energy, Elsevier, vol. 297(C).
    7. Liangjun Yi & Wei Zhang & Yuanxin Liu & Weilin Zhang, 2021. "An Analysis of the Impact of Market Segmentation on Energy Efficiency: A Spatial Econometric Model Applied in China," Sustainability, MDPI, vol. 13(14), pages 1-23, July.
    8. Song Han & Changqing Lin & Baosheng Zhang & Arash Farnoosh, 2019. "Projections and Recommendations for Energy Structure and Industrial Structure Development in China through 2030: A System Dynamics Model," Post-Print hal-02408957, HAL.
    9. Trinh, Hai Hong & Sharma, Gagan Deep & Tiwari, Aviral Kumar & Vo, Diem Thi Hong, 2022. "Examining the heterogeneity of financial development in the energy-environment nexus in the era of climate change: Novel evidence around the world," Energy Economics, Elsevier, vol. 116(C).
    10. Andrews-Speed, Philip, 2009. "China's ongoing energy efficiency drive: Origins, progress and prospects," Energy Policy, Elsevier, vol. 37(4), pages 1331-1344, April.
    11. Xiaoli, Zhao & Rui, Yang & Qian, Ma, 2014. "China's total factor energy efficiency of provincial industrial sectors," Energy, Elsevier, vol. 65(C), pages 52-61.
    12. Honma, Satoshi & Hu, Jin-Li, 2009. "Total-factor energy productivity growth of regions in Japan," Energy Policy, Elsevier, vol. 37(10), pages 3941-3950, October.
    13. Ur Rehman, Faheem & Islam, Md. Monirul, 2023. "Does energy infrastructure spur total factor productivity (TFP) in middle-income economies? An application of a novel energy infrastructure index," Applied Energy, Elsevier, vol. 336(C).
    14. Da Gao & Chang Liu & Xinyan Wei & Yang Liu, 2023. "Can River Chief System Policy Improve Enterprises’ Energy Efficiency? Evidence from China," IJERPH, MDPI, vol. 20(4), pages 1-17, February.
    15. Song Han & Changqing Lin & Baosheng Zhang & Arash Farnoosh, 2019. "Projections and Recommendations for Energy Structure and Industrial Structure Development in China through 2030: A System Dynamics Model," Sustainability, MDPI, vol. 11(18), pages 1-20, September.
    16. Chang, Tzu-Pu & Hu, Jin-Li, 2010. "Total-factor energy productivity growth, technical progress, and efficiency change: An empirical study of China," Applied Energy, Elsevier, vol. 87(10), pages 3262-3270, October.
    17. Liu, Kui & Bai, Hongkun & Yin, Shuo & Lin, Boqiang, 2018. "Factor substitution and decomposition of carbon intensity in China's heavy industry," Energy, Elsevier, vol. 145(C), pages 582-591.
    18. Chai, Jian & Guo, Ju-E & Wang, Shou-Yang & Lai, Kin Keung, 2009. "Why does energy intensity fluctuate in China?," Energy Policy, Elsevier, vol. 37(12), pages 5717-5731, December.
    19. Chen, Feng-Wen & Tan, Yulu & Chen, Fengzhang & Wu, Yong-Qiu, 2021. "Enhancing or suppressing: The effect of labor costs on energy intensity in emerging economies," Energy, Elsevier, vol. 214(C).
    20. Zhao, Hongli & Lin, Boqiang, 2019. "Resources allocation and more efficient use of energy in China's textile industry," Energy, Elsevier, vol. 185(C), pages 111-120.
    21. Qu, Chenyao & Shao, Jun & Shi, Zhenkai, 2020. "Does financial agglomeration promote the increase of energy efficiency in China?," Energy Policy, Elsevier, vol. 146(C).
    22. Jianhua Huangfu & Wenjuan Zhao & Lei Yu, 2023. "Does Coal Consumption Control Policy Synergistically Control Emissions and Energy Intensity?," Sustainability, MDPI, vol. 15(10), pages 1-15, May.
    23. He, Yongda & Lin, Boqiang, 2019. "Heterogeneity and asymmetric effects in energy resources allocation of the manufacturing sectors in China," Energy, Elsevier, vol. 170(C), pages 1019-1035.
    24. Sheng Xu & Liang Liang, 2023. "Has Digital Finance Made Marine Energy Carbon Emission More Efficient in Coastal Areas of China?," Sustainability, MDPI, vol. 15(3), pages 1-19, January.
    25. Kahrl, Fredrich & Roland-Holst, David, 2009. "Growth and structural change in China's energy economy," Energy, Elsevier, vol. 34(7), pages 894-903.
    26. Ma, Hengyun & Oxley, Les & Gibson, John, 2009. "Substitution possibilities and determinants of energy intensity for China," Energy Policy, Elsevier, vol. 37(5), pages 1793-1804, May.
    27. Zhao, Yuchun & Akbarzadeh, Aliakbar & Andrews, John, 2009. "Simultaneous desalination and power generation using solar energy," Renewable Energy, Elsevier, vol. 34(2), pages 401-408.
    28. Xie, Chunping & Hawkes, Adam D., 2015. "Estimation of inter-fuel substitution possibilities in China's transport industry using ridge regression," Energy, Elsevier, vol. 88(C), pages 260-267.
    29. Chao Bi & Minna Jia & Jingjing Zeng, 2019. "Nonlinear Effect of Public Infrastructure on Energy Intensity in China: A Panel Smooth Transition Regression Approach," Sustainability, MDPI, vol. 11(3), pages 1-21, January.
    30. Jiang, Ping & Yang, Hufang & Li, Hongmin & Wang, Ying, 2021. "A developed hybrid forecasting system for energy consumption structure forecasting based on fuzzy time series and information granularity," Energy, Elsevier, vol. 219(C).
    31. Jie Wu & Beibei Xiong & Qingxian An & Jiasen Sun & Huaqing Wu, 2017. "Total-factor energy efficiency evaluation of Chinese industry by using two-stage DEA model with shared inputs," Annals of Operations Research, Springer, vol. 255(1), pages 257-276, August.
    32. Hu, Jin-Li & Chang, Ming-Chung & Tsay, Hui-Wen, 2017. "The congestion total-factor energy efficiency of regions in Taiwan," Energy Policy, Elsevier, vol. 110(C), pages 710-718.
    33. Lin, Boqiang & Xie, Chunping, 2014. "Energy substitution effect on transport industry of China-based on trans-log production function," Energy, Elsevier, vol. 67(C), pages 213-222.
    34. Chen, Xiude & Qin, Quande & Wei, Y.-M., 2016. "Energy productivity and Chinese local officials’ promotions: Evidence from provincial governors," Energy Policy, Elsevier, vol. 95(C), pages 103-112.
    35. Yu, Shiwei & Liu, Jie & Hu, Xing & Tian, Peng, 2022. "Does development of renewable energy reduce energy intensity? Evidence from 82 countries," Technological Forecasting and Social Change, Elsevier, vol. 174(C).
    36. Peng, Lihong & Zhang, Yiting & Wang, Yejun & Zeng, Xiaoling & Peng, Najun & Yu, Ang, 2015. "Energy efficiency and influencing factor analysis in the overall Chinese textile industry," Energy, Elsevier, vol. 93(P1), pages 1222-1229.
    37. Hu, Baiding, 2014. "Measuring plant level energy efficiency in China's energy sector in the presence of allocative inefficiency," China Economic Review, Elsevier, vol. 31(C), pages 130-144.

  234. Jian-Lin Jiao & Ying Fan & Yi-Ming Wei & Zhi-Yong Han & Jiu-Tian Zhang, 2007. "Analysis of the co-movement between Chinese and international crude oil price," International Journal of Global Energy Issues, Inderscience Enterprises Ltd, vol. 27(1), pages 61-76.

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    1. Liu, Li & Chen, Ching-Cheng & Wan, Jieqiu, 2013. "Is world oil market “one great pool”?: An example from China's and international oil markets," Economic Modelling, Elsevier, vol. 35(C), pages 364-373.
    2. Zhang, Yue-Jun & Fan, Ying & Tsai, Hsien-Tang & Wei, Yi-Ming, 2008. "Spillover effect of US dollar exchange rate on oil prices," Journal of Policy Modeling, Elsevier, vol. 30(6), pages 973-991.
    3. Toan Luu Duc Huynh & Muhammad Shahbaz & Muhammad Ali Nasir & Subhan Ullah, 2022. "Financial modelling, risk management of energy instruments and the role of cryptocurrencies," Annals of Operations Research, Springer, vol. 313(1), pages 47-75, June.
    4. Qin, Meng & Su, Chi-Wei & Hao, Lin-Na & Tao, Ran, 2020. "The stability of U.S. economic policy: Does it really matter for oil price?," Energy, Elsevier, vol. 198(C).
    5. Zhang, Bing & Wang, Peijie, 2014. "Return and volatility spillovers between china and world oil markets," Economic Modelling, Elsevier, vol. 42(C), pages 413-420.
    6. Zhi-Hong Han & Sheng Yang & Mu-Ling Chen & Ling-Yun He, 2015. "Mean spillover effect between crude oil and gasoline markets: an empirical result," International Journal of Global Energy Issues, Inderscience Enterprises Ltd, vol. 38(1/2/3), pages 49-68.

  235. Yi-Ming Wei & Gang Wu & Ying Fan & Lan-Cui Liu, 2006. "Progress in energy complex system modelling and analysis," International Journal of Global Energy Issues, Inderscience Enterprises Ltd, vol. 25(1/2), pages 109-128.

    Cited by:

    1. Kumar, Subhash & Madlener, Reinhard, 2015. "A Least-Cost Assessment of the CO2 Mitigation Potential Using Renewable Energies in the Indian Electricity Supply Sector," FCN Working Papers 14/2014, E.ON Energy Research Center, Future Energy Consumer Needs and Behavior (FCN).
    2. Laimon, M. & Yusaf, T., 2024. "Towards energy freedom: Exploring sustainable solutions for energy independence and self-sufficiency using integrated renewable energy-driven hydrogen system," Renewable Energy, Elsevier, vol. 222(C).
    3. Qunli Wu & Chenyang Peng, 2016. "Scenario Analysis of Carbon Emissions of China’s Electric Power Industry Up to 2030," Energies, MDPI, vol. 9(12), pages 1-18, November.
    4. Kirby Calvert & J.M. Pearce & W. E. Mabee, 2013. "Toward renewable energy geo-information infrastructures: Applications of GIScience and remote sensing that build institutional capacity," Post-Print hal-02120459, HAL.
    5. Kumar, Subhash & Madlener, Reinhard, 2016. "CO2 emission reduction potential assessment using renewable energy in India," Energy, Elsevier, vol. 97(C), pages 273-282.
    6. Elizaveta Gavrikova & Yegor Burda & Vladimir Gavrikov & Ruslan Sharafutdinov & Irina Volkova & Marina Rubleva & Daria Polosukhina, 2019. "Clean Energy Sources: Insights from Russia," Resources, MDPI, vol. 8(2), pages 1-25, May.
    7. Hull, David & Ó Gallachóir, Brian P. & Walker, Neil, 2009. "Development of a modelling framework in response to new European energy-efficiency regulatory obligations: The Irish experience," Energy Policy, Elsevier, vol. 37(12), pages 5363-5375, December.
    8. Laimon, Mohamd & Mai, Thanh & Goh, Steven & Yusaf, Talal, 2022. "System dynamics modelling to assess the impact of renewable energy systems and energy efficiency on the performance of the energy sector," Renewable Energy, Elsevier, vol. 193(C), pages 1041-1048.
    9. Wu, Zhibin & Xu, Jiuping, 2013. "Predicting and optimization of energy consumption using system dynamics-fuzzy multiple objective programming in world heritage areas," Energy, Elsevier, vol. 49(C), pages 19-31.
    10. Kumar, Subhash, 2016. "Assessment of renewables for energy security and carbon mitigation in Southeast Asia: The case of Indonesia and Thailand," Applied Energy, Elsevier, vol. 163(C), pages 63-70.
    11. Fleiter, Tobias & Worrell, Ernst & Eichhammer, Wolfgang, 2011. "Barriers to energy efficiency in industrial bottom-up energy demand models--A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(6), pages 3099-3111, August.
    12. Liang, Yuanyuan & Yu, Biying & Wang, Lu, 2019. "Costs and benefits of renewable energy development in China's power industry," Renewable Energy, Elsevier, vol. 131(C), pages 700-712.

  236. Zhi-Yong Han & Ying Fan & Yi-Ming Wei, 2004. "Study on the cointegration and causality between GDP and energy consumption in China," International Journal of Global Energy Issues, Inderscience Enterprises Ltd, vol. 22(2/3/4), pages 225-232.

    Cited by:

    1. Lu s Miguel Marques & Jos Alberto Fuinhas & Ant nio Cardoso Marques, 2017. "On the Dynamics of Energy-growth Nexus: Evidence from a World Divided into Four Regions," International Journal of Energy Economics and Policy, Econjournals, vol. 7(3), pages 208-215.
    2. You, Jing, 2011. "China's energy consumption and sustainable development: Comparative evidence from GDP and genuine savings," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(6), pages 2984-2989, August.
    3. Jinke, Li & Hualing, Song & Dianming, Geng, 2008. "Causality relationship between coal consumption and GDP: Difference of major OECD and non-OECD countries," Applied Energy, Elsevier, vol. 85(6), pages 421-429, June.

  237. Yiming Wei, Ying Fan, Weixuan Xu, 2003. "An integrated methodology for decision making of mining method selection," International Journal of Manufacturing Technology and Management, Inderscience Enterprises Ltd, vol. 5(1/2), pages 10-19.

    Cited by:

    1. Christina N. Burt & Lou Caccetta, 2014. "Equipment Selection for Surface Mining: A Review," Interfaces, INFORMS, vol. 44(2), pages 143-162, April.

  238. Wei, Yi-ming & Ying, Shang-jun & Fan, Ying & Wang, Bing-Hong, 2003. "The cellular automaton model of investment behavior in the stock market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 325(3), pages 507-516.

    Cited by:

    1. Ying, Shangjun & Fan, Ying, 2014. "Complexity in the Chinese stock market and its relationships with monetary policy intensity," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 394(C), pages 338-345.
    2. Stefan, F.M. & Atman, A.P.F., 2015. "Is there any connection between the network morphology and the fluctuations of the stock market index?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 419(C), pages 630-641.
    3. Ducha, F.A. & Atman, A.P.F. & Bosco de Magalhães, A.R., 2021. "Information flux in complex networks: Path to stylized facts," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 566(C).
    4. Bakker, L. & Hare, W. & Khosravi, H. & Ramadanovic, B., 2010. "A social network model of investment behaviour in the stock market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(6), pages 1223-1229.
    5. Bian, Yue-tang & Xu, Lu & Li, Jin-sheng, 2016. "Evolving dynamics of trading behavior based on coordination game in complex networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 449(C), pages 281-290.

Chapters

  1. Yi-Ming Wei & Ju-Liang Jin & Qiong Wang, 2015. "Impacts of Natural Disasters and Disaster Risk Management in China: The Case of China’s Experience in the Wenchuan Earthquake," Risk, Governance and Society, in: Daniel P. Aldrich & Sothea Oum & Yasuyuki Sawada (ed.), Resilience and Recovery in Asian Disasters, edition 127, chapter 0, pages 287-307, Springer.

    Cited by:

    1. Zhidi Zhang & Jianqing Ruan, 2020. "Do Long-Run Disasters Promote Human Capital in China? —The Impact of 500 Years of Natural Disasters on County-Level Human-Capital Accumulation," IJERPH, MDPI, vol. 17(20), pages 1-14, October.
    2. Li, Niansi & Liu, Xiaoyong & Yu, Bendong & Li, Liang & Xu, Jianqiang & Tan, Qiong, 2021. "Study on the environmental adaptability of lithium-ion battery powered UAV under extreme temperature conditions," Energy, Elsevier, vol. 219(C).

  2. Yi-Ming Wei & Ju-Liang Jin & Qiong Wang, 2015. "Impacts of Natural Disasters and Disaster Risk Management in China: The Case of China's Experience in the Wenchuan Earthquake," CEEP-BIT Books, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology, volume 18, number b3, december.

    Cited by:

    1. Zhidi Zhang & Jianqing Ruan, 2020. "Do Long-Run Disasters Promote Human Capital in China? —The Impact of 500 Years of Natural Disasters on County-Level Human-Capital Accumulation," IJERPH, MDPI, vol. 17(20), pages 1-14, October.
    2. Li, Niansi & Liu, Xiaoyong & Yu, Bendong & Li, Liang & Xu, Jianqiang & Tan, Qiong, 2021. "Study on the environmental adaptability of lithium-ion battery powered UAV under extreme temperature conditions," Energy, Elsevier, vol. 219(C).

Books

  1. Yiming Wei & Biying Yu (ed.), 2019. "Integrated assessment model analysis of climate change in China," CEEP-BIT Books, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology, number b17, december.

    Cited by:

    1. Jing Ma & Qin Ju & Yiheng Du & Yanli Liu & Guoqing Wang & Huanan Zeng & Zhenchun Hao, 2022. "Assessing precipitation variations in the Yangtze River Basin during 1979–2019 by vertically integrated moisture flux divergence," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 114(1), pages 971-987, October.

  2. Zhimin Huang & Yiming Wei & Ke Wang & Hua Liao (ed.), 2017. "Energy economics and climate policy modeling," CEEP-BIT Books, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology, number b15, december.

    Cited by:

    1. Xu Lei & Tang Shiyun & Deng Yanfei & Yuan Yuan, 2020. "Sustainable operation-oriented investment risk evaluation and optimization for renewable energy project: a case study of wind power in China," Annals of Operations Research, Springer, vol. 290(1), pages 223-241, July.
    2. Chenhao Fang & Tieju Ma, 2021. "Technology adoption with carbon emission trading mechanism: modeling with heterogeneous agents and uncertain carbon price," Annals of Operations Research, Springer, vol. 300(2), pages 577-600, May.
    3. Laura Laguna-Salvadó & Matthieu Lauras & Uche Okongwu & Tina Comes, 2019. "A multicriteria Master Planning DSS for a sustainable humanitarian supply chain," Annals of Operations Research, Springer, vol. 283(1), pages 1303-1343, December.
    4. Han, Yongming & Lou, Xiaoyi & Feng, Mingfei & Geng, Zhiqiang & Chen, Liangchao & Ping, Weiying & Lu, Gang, 2022. "Energy consumption analysis and saving of buildings based on static and dynamic input-output models," Energy, Elsevier, vol. 239(PC).
    5. Chinnadurai Kathiravan & Murugesan Selvam & Sankaran Venkateswar & S. Balakrishnan, 2021. "Investor behavior and weather factors: evidences from Asian region," Annals of Operations Research, Springer, vol. 299(1), pages 349-373, April.

  3. Yi-Ming Wei & Hua Liao (ed.), 2016. "Energy Economics: Energy Efficiency in China," CEEP-BIT Books, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology, number b5, december.

    Cited by:

    1. Garfield Wayne Hunter & Gideon Sagoe & Daniele Vettorato & Ding Jiayu, 2019. "Sustainability of Low Carbon City Initiatives in China: A Comprehensive Literature Review," Sustainability, MDPI, vol. 11(16), pages 1-37, August.
    2. Mohamed Dia & Shashi K. Shahi & Luckny Zéphyr, 2021. "An Assessment of the Efficiency of Canadian Power Generation Companies with Bootstrap DEA," JRFM, MDPI, vol. 14(10), pages 1-27, October.
    3. Song Xu & Yiu Hin Martin Lu & Meiheriayi Mutailipu & Kanti Yan & Yaoli Zhang & Staffan Qvist, 2022. "Repowering Coal Power in China by Nuclear Energy—Implementation Strategy and Potential," Energies, MDPI, vol. 15(3), pages 1-27, January.
    4. Satoshi Honma & Jin-Li Hu, 2018. "A meta-stochastic frontier analysis for energy efficiency of regions in Japan," Journal of Economic Structures, Springer;Pan-Pacific Association of Input-Output Studies (PAPAIOS), vol. 7(1), pages 1-16, December.
    5. Longyu Shi & Lingyu Liu & Bin Yang & Gonghan Sheng & Tong Xu, 2020. "Evaluation of Industrial Urea Energy Consumption (EC) Based on Life Cycle Assessment (LCA)," Sustainability, MDPI, vol. 12(9), pages 1-17, May.
    6. Sun, Jiasen & Li, Guo & Wang, Zhaohua, 2018. "Optimizing China’s energy consumption structure under energy and carbon constraints," Structural Change and Economic Dynamics, Elsevier, vol. 47(C), pages 57-72.
    7. Qiurui Liu & Juntian Huang & Ting Ni & Lin Chen, 2022. "Measurement of China’s Building Energy Consumption from the Perspective of a Comprehensive Modified Life Cycle Assessment Statistics Method," Sustainability, MDPI, vol. 14(8), pages 1-19, April.
    8. Ye, Xiang & Yue, Pengpeng, 2023. "Financial literacy and household energy efficiency: An analysis of credit market and supply chain," Finance Research Letters, Elsevier, vol. 52(C).
    9. Darwanto Darwanto & Nenik Woyanti & Purbayu Budi Santosa & Hadi Sasana & Imam Ghozali, 2019. "The Damaging Growth: An Empiric Evidence of Environmental Kuznets Curve in Indonesia," International Journal of Energy Economics and Policy, Econjournals, vol. 9(5), pages 339-345.
    10. Xu, Dandan & Guo, Dongli & Yue, Pengpeng & Li, Mengshi, 2024. "Household green consumption: Does digital inclusion matter?," International Review of Financial Analysis, Elsevier, vol. 91(C).
    11. Riahi, Fariba & Zahedi, Shams-alsadat & Farjadi, Gholam Ali & Najafi, Saied, 2019. "The Impact of Institutional Governance on Environmental Sustainability of Energy through Economic and Social Sustainabilit (in Persian)," Management and Development Process Quarterly (٠صلنامه ٠رایند مدیریت و توسعه), Institute for Management and Planning studies, vol. 32(2), pages 91-133, September.

  4. Yong Geng & Yiming Wei & Manfred Fischedick & Lynn Price & Anthony Chiu & Bin Chen (ed.), 2016. "Recent trend of industrial emissions in developing countries," CEEP-BIT Books, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology, number b14, december.

    Cited by:

    1. Wang, Jieming & Wang, Jinkai & Xu, Shujuan & Wu, Rui & Lv, Jian & Li, Zhi & Li, Chun & Zhang, Jinliang & Zhao, Lei & Xie, Jun & Zhang, Jianguo, 2022. "A novel mode for “three zones” collaborative reconstruction of underground gas storage and its application to large, low-permeability lithologic gas reservoirs," Energy, Elsevier, vol. 253(C).
    2. Wang, Yuan & Zhang, Chen & Lu, Aitong & Li, Li & He, Yanmin & ToJo, Junji & Zhu, Xiaodong, 2017. "A disaggregated analysis of the environmental Kuznets curve for industrial CO2 emissions in China," Applied Energy, Elsevier, vol. 190(C), pages 172-180.
    3. Wang, Xiaoqing & Sun, Xing & Oprean-Stan, Camelia & Chang, Tsangyao, 2023. "What role does global value chain participation play in emissions embodied in trade? New evidence from value-added trade," Economic Analysis and Policy, Elsevier, vol. 80(C), pages 1205-1223.
    4. Hu, Yi & Yin, Zhifeng & Ma, Jian & Du, Wencui & Liu, Danhe & Sun, Luxi, 2017. "Determinants of GHG emissions for a municipal economy: Structural decomposition analysis of Chongqing," Applied Energy, Elsevier, vol. 196(C), pages 162-169.
    5. Wang, Xiaoqing & Qin, Chuan & Liu, Yufeng & Tanasescu, Cristina & Bao, Jiangnan, 2023. "Emerging enablers of green low-carbon development: Do digital economy and open innovation matter?," Energy Economics, Elsevier, vol. 127(PA).
    6. Alessia Spada & Mariantonietta Fiore & Umberto Monarca & Nicola Faccilongo, 2019. "R&D Expenditure for New Technology in Livestock Farming: Impact on GHG Reduction in Developing Countries," Sustainability, MDPI, vol. 11(24), pages 1-12, December.
    7. Jiang, Jingjing & Ye, Bin & Liu, Junguo, 2019. "Research on the peak of CO2 emissions in the developing world: Current progress and future prospect," Applied Energy, Elsevier, vol. 235(C), pages 186-203.
    8. Nadiia Charkovska & Mariia Halushchak & Rostyslav Bun & Zbigniew Nahorski & Tomohiro Oda & Matthias Jonas & Petro Topylko, 2019. "A high-definition spatially explicit modelling approach for national greenhouse gas emissions from industrial processes: reducing the errors and uncertainties in global emission modelling," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 24(6), pages 907-939, August.
    9. Alshammari, Yousef M., 2021. "Scenario analysis for energy transition in the chemical industry: An industrial case study in Saudi Arabia," Energy Policy, Elsevier, vol. 150(C).
    10. De Almeida, A. & Fong, J. & Brunner, C.U. & Werle, R. & Van Werkhoven, M., 2019. "New technology trends and policy needs in energy efficient motor systems - A major opportunity for energy and carbon savings," Renewable and Sustainable Energy Reviews, Elsevier, vol. 115(C).

  5. Yiming Wei & Ke Wang & Hua Liao & Hirokazu Tatano (ed.), 2016. "Economics of climate change and risk of disasters in Asia–Pacific region," CEEP-BIT Books, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology, number b13, december.

    Cited by:

    1. Kirsten Halsnæs & Morten Andreas Dahl Larsen & Per Skougaard Kaspersen, 2018. "Climate change risks for severe storms in developing countries in the context of poverty and inequality in Cambodia," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 94(1), pages 261-278, October.

  6. Yiming Wei & Lancui Liu & Gang Wu & Lele Zou (ed.), 2010. "Energy Economics: CO2 Emissions in China," CEEP-BIT Books, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology, number b1, december.

    Cited by:

    1. Hao, Yu & Liao, Hua & Wei, Yi-Ming, 2015. "Is China’s carbon reduction target allocation reasonable? An analysis based on carbon intensity convergence," Applied Energy, Elsevier, vol. 142(C), pages 229-239.
    2. Ke Wang & Shiwei Yu & Mo-Jie Li & Yi-Ming Wei, 2015. "Multi-directional efficiency analysis-based regional industrial environmental performance evaluation of China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 75(2), pages 273-299, February.
    3. Ke Wang & Bin Lu & Yi-Ming Wei, 2014. "China's regional energy and environmental efficiency: A Range-Adjusted Measure based analysis," CEEP-BIT Working Papers 61, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
    4. Feng, Zhen-Hua & Wei, Yi-Ming & Wang, Kai, 2012. "Estimating risk for the carbon market via extreme value theory: An empirical analysis of the EU ETS," Applied Energy, Elsevier, vol. 99(C), pages 97-108.
    5. Li, J.S. & Chen, G.Q., 2013. "Energy and greenhouse gas emissions review for Macao," Renewable and Sustainable Energy Reviews, Elsevier, vol. 22(C), pages 23-32.
    6. Yu Hao & Yi-Ming Wei, 2014. "When does the turning point in China's CO2 emissions occur? Results based on the Green Solow Model," CEEP-BIT Working Papers 73, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
    7. Chulin Pan & Huayi Wang & Hongpeng Guo & Hong Pan, 2021. "How Do the Population Structure Changes of China Affect Carbon Emissions? An Empirical Study Based on Ridge Regression Analysis," Sustainability, MDPI, vol. 13(6), pages 1-16, March.
    8. Yun-Fei Yao & Qiao-Mei Liang, 2016. "Approaches to carbon allowance allocation in China: a computable general equilibrium analysis," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 84(1), pages 333-351, November.
    9. Qiao-Mei Liang & Yun-Fei Yao & Lu-Tao Zhao & Ce Wang & Rui-Guang Yang & Yi-Ming Wei, 2013. "Platform for China Energy & Environmental Policy Analysis: A general design and its application," CEEP-BIT Working Papers 43, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
    10. Zeng, Bo & Wen, Junqiang & Shi, Jinyue & Zhang, Jianhua & Zhang, Yuying, 2016. "A multi-level approach to active distribution system planning for efficient renewable energy harvesting in a deregulated environment," Energy, Elsevier, vol. 96(C), pages 614-624.

  7. Yi-Ming Wei & Ying Fan & Zhi-Yong Han & Lele Zou (ed.), 2010. "Energy Economics: Modeling and Empirical Analysis in China," CEEP-BIT Books, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology, number b2, december.

    Cited by:

    1. Wu, Qunli & Peng, Chenyang, 2017. "A hybrid BAG-SA optimal approach to estimate energy demand of China," Energy, Elsevier, vol. 120(C), pages 985-995.
    2. Wang, Xiaoyu & Luo, Dongkun & Zhao, Xu & Sun, Zhu, 2018. "Estimates of energy consumption in China using a self-adaptive multi-verse optimizer-based support vector machine with rolling cross-validation," Energy, Elsevier, vol. 152(C), pages 539-548.
    3. Yu, Xiaolin & Wan, Kai & Du, Qunyang, 2023. "Can carbon market policies achieve a “point-to-surface” effect?—Quasi-experimental evidence from China," Energy Policy, Elsevier, vol. 183(C).
    4. Meng, Bo & Xue, Jinjun & Feng, Kuishuang & Guan, Dabo & Fu, Xue, 2013. "China’s inter-regional spillover of carbon emissions and domestic supply chains," Energy Policy, Elsevier, vol. 61(C), pages 1305-1321.
    5. Qiao-Mei Liang & Yun-Fei Yao & Lu-Tao Zhao & Ce Wang & Rui-Guang Yang & Yi-Ming Wei, 2013. "Platform for China Energy & Environmental Policy Analysis: A general design and its application," CEEP-BIT Working Papers 43, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.

  8. Yiming Wei & Hsien-Tang Tsai & Chuan-Hong Chen (ed.), 2004. "China’s Energy Economics and Sustainable Development in the 21st Century," CEEP-BIT Books, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology, number b8, december.

    Cited by:

    1. Man Wang & Cheng Zhou, 2023. "How Does Graduate Training Promote Sustainable Development of Higher Education: Evidence from China’s “Double First-Class” Universities’ Programs," Sustainability, MDPI, vol. 15(2), pages 1-20, January.
    2. Rasool, Samma Faiz & Zaman, Shah & Jehan, Noor & Chin, Tachia & Khan, Saleem & Zaman, Qamar uz, 2022. "Investigating the role of the tech industry, renewable energy, and urbanization in sustainable environment: Policy directions in the context of developing economies," Technological Forecasting and Social Change, Elsevier, vol. 183(C).

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