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Xinye Zheng

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. Zheng, Xinye & Song, Feng & Yu, Yihua & Song, Shunfeng, 2014. "In Search of Fiscal Interactions: A Spatial Analysis of Chinese Provincial Infrastructure Spending," MPRA Paper 61615, University Library of Munich, Germany.

    Cited by:

    1. Feng, Qu & Wu, Guiying Laura, 2018. "On the reverse causality between output and infrastructure: The case of China," Economic Modelling, Elsevier, vol. 74(C), pages 97-104.
    2. Sanz-Córdoba, Patricia, 2020. "The role of infrastructure investment and factor productivity in international tax competition," Economic Modelling, Elsevier, vol. 85(C), pages 30-38.
    3. Dechun Liu & Xinye Zheng & Yihua Yu, 2022. "Public Debt Competition in Local China: Evidence and Mechanism of Spatial Interactions," Regional Science Policy & Practice, Wiley Blackwell, vol. 14(S2), pages 91-105, November.

  2. Zheng, Xinye & Wang, Jing & Li, Xilu & Yu, Yihua, 2013. "On the supply of China's healthcare resources in a decentralized healthcare system," MPRA Paper 56030, University Library of Munich, Germany.

    Cited by:

    1. Qasim Raza & Hafsa Hina, 2016. "Fiscal Decentralisation, Provincial Economic Growth and Spillover Effects: A Spatial Panel Data Analysis," The Pakistan Development Review, Pakistan Institute of Development Economics, vol. 55(4), pages 743-760.

  3. Zheng, Xinye & Li, Fanghua & Song, Shunfeng & Yu, Yihua, 2013. "Central Government's Infrastructure Investment across Chinese Regions: A Dynamic Spatial Panel Data Approach," MPRA Paper 50407, University Library of Munich, Germany.

    Cited by:

    1. Yingxin Shi & Mototsugu Fukushige, 2013. "Long-Run Fiscal Multiplier for Autonomous Prefectures in China," Discussion Papers in Economics and Business 13-10, Osaka University, Graduate School of Economics.
    2. Hanming Fang & Ming Li & Zenan Wu, 2022. "Tournament-Style Political Competition and Local Protectionism: Theory and Evidence from China," NBER Working Papers 30780, National Bureau of Economic Research, Inc.
    3. Huasheng Song & Min Zhang & Ruqu Wang, 2016. "Amenities and spatial talent distribution: evidence from the Chinese IT industry," Cambridge Journal of Regions, Economy and Society, Cambridge Political Economy Society, vol. 9(3), pages 517-533.
    4. Mototsugu Fukushige & Yingxin Shi, 2013. "Intergovernmental Fiscal Relationships in China: A Simple Model Based on the Nonsymmetric Nash Solution," Discussion Papers in Economics and Business 13-21, Osaka University, Graduate School of Economics.
    5. Katarzyna Kopczewska, 2016. "Efficiency of Regional Public Investment: An NPV-Based Spatial Econometric Approach," Spatial Economic Analysis, Taylor & Francis Journals, vol. 11(4), pages 413-431, October.
    6. Liu, Qijun & Song, Lijie, 2022. "Do intergovernmental transfers boost intergenerational income mobility? Evidence from China," Structural Change and Economic Dynamics, Elsevier, vol. 63(C), pages 293-309.
    7. Mohanty, Biswajit & Bhanumurthy, N. R. & Dastidar, Ananya Ghosh, 2017. "What explains Regional Imbalances in Infrastructure?: Evidence from Indian States," Working Papers 17/197, National Institute of Public Finance and Policy.
    8. Zheng, Xinye & Yu, Yihua & Wang, Jing & Deng, Huihui, 2013. "Identifying the determinants and spatial nexus of provincial carbon intensity in China: A dynamic spatial panel approach," MPRA Paper 56088, University Library of Munich, Germany.
    9. Zhang, Zhenhua & Zhang, Guoxing & Su, Bin, 2022. "The spatial impacts of air pollution and socio-economic status on public health: Empirical evidence from China," Socio-Economic Planning Sciences, Elsevier, vol. 83(C).
    10. Biswajit Mohanty & N.R. Bhanumurthy & Ananya Ghosh Dastidar, 2017. "What explains regional imbalances in public infrastructure expenditure? Evidence from Indian states," Asia-Pacific Development Journal, United Nations Economic and Social Commission for Asia and the Pacific (ESCAP), vol. 24(2), pages 113-139, December.
    11. Nana Yang & Qiming Liu, 2023. "How does industrial agglomeration affect regional innovation? A spatial econometric analysis," Growth and Change, Wiley Blackwell, vol. 54(4), pages 826-852, December.
    12. 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.
    13. Lie Ma & Dandan Li & Xiaobo Tao & Haifeng Dong & Bei He & Xiaosu Ye, 2017. "Inequality, Bi-Polarization and Mobility of Urban Infrastructure Investment in China’s Urban System," Sustainability, MDPI, vol. 9(9), pages 1-19, September.
    14. Oumarou Zallé & Pousseni Bakouan, 2024. "Spillover effects of fiscal decentralization on access to basic social services in Burkina Faso," Growth and Change, Wiley Blackwell, vol. 55(1), March.
    15. Zekun Li & Shenjing He & Shiliang Su & Guie Li & Fei Chen, 2020. "Public Services Equalization in Urbanizing China: Indicators, Spatiotemporal Dynamics and Implications on Regional Economic Disparities," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 152(1), pages 1-65, November.
    16. Lihu Pan & Fenyu Yang & Feiping Lu & Shipeng Qin & Huimin Yan & Rui Peng, 2020. "Multi-Agent Simulation of Safe Livability and Sustainable Development in Cities," Sustainability, MDPI, vol. 12(5), pages 1-15, March.
    17. Wu, Yan & Heerink, Nico, 2016. "Foreign direct investment, fiscal decentralization and land conflicts in China," China Economic Review, Elsevier, vol. 38(C), pages 92-107.
    18. Yu, Jihai & Zhou, Li-An & Zhu, Guozhong, 2016. "Strategic interaction in political competition: Evidence from spatial effects across Chinese cities," Regional Science and Urban Economics, Elsevier, vol. 57(C), pages 23-37.
    19. Zameer, Hashim & Yasmeen, Humaira & Wang, Rong & Tao, Jing & Malik, Muhammad Nasir, 2020. "An empirical investigation of the coordinated development of natural resources, financial development and ecological efficiency in China," Resources Policy, Elsevier, vol. 65(C).
    20. Yongqing Nan & Qin Li & Jinxiang Yu & Haiya Cai & Qin Zhou, 2020. "Has the emissions intensity of industrial sulphur dioxide converged? New evidence from China’s prefectural cities with dynamic spatial panel models," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 22(6), pages 5337-5369, August.
    21. Katarzyna Kopczewska, 2017. "Kumulatywny vs. panelowy model przestrzenny w modelowaniu inwestycji lokalnych polskich gmin w latach 1995–2015," Collegium of Economic Analysis Annals, Warsaw School of Economics, Collegium of Economic Analysis, issue 47, pages 113-128.
    22. Emanuele Felice & Iacopo Odoardi & Dario D’Ingiullo, 2023. "The Chinese Inland-Coastal Inequality: The Role of Human Capital and the 2007–2008 Crisis Watershed," Italian Economic Journal: A Continuation of Rivista Italiana degli Economisti and Giornale degli Economisti, Springer;Società Italiana degli Economisti (Italian Economic Association), vol. 9(2), pages 761-788, July.
    23. Celbis, M.G. & Crombrugghe, D. de & Muysken, J., 2014. "Public investment and regional politics: The case of Turkey," MERIT Working Papers 2014-020, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).

  4. Zheng, Xinye & Yu, Yihua & Wang, Jing & Deng, Huihui, 2013. "Identifying the determinants and spatial nexus of provincial carbon intensity in China: A dynamic spatial panel approach," MPRA Paper 56088, University Library of Munich, Germany.

    Cited by:

    1. Zhimin Zhou & Xinyue Ye & Xiangyu Ge, 2017. "The Impacts of Technical Progress on Sulfur Dioxide Kuznets Curve in China: A Spatial Panel Data Approach," Sustainability, MDPI, vol. 9(4), pages 1-27, April.
    2. Jianhuan Huang & Jiejin Xia, 2016. "Regional Competition, Heterogeneous Factors and Pollution Intensity in China: A Spatial Econometric Analysis," Sustainability, MDPI, vol. 8(2), pages 1-26, February.
    3. Zheng, Xinye & Song, Feng & Yu, Yihua & Song, Shunfeng, 2014. "In Search of Fiscal Interactions: A Spatial Analysis of Chinese Provincial Infrastructure Spending," MPRA Paper 61615, University Library of Munich, Germany.
    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. Wang, Shaojian & Wang, Jieyu & Zhou, Yuquan, 2018. "Estimating the effects of socioeconomic structure on CO2 emissions in China using an econometric analysis framework," Structural Change and Economic Dynamics, Elsevier, vol. 47(C), pages 18-27.
    6. Hezareh, Reza & Shayanmehr, Samira & Darbandi, Elham & Schieffer, Jack, 2017. "Energy Consumption and Environmental Pollution: Evidence from the Spatial Panel Simultaneous-Equations Model of Developing Countries," 2017 Annual Meeting, February 4-7, 2017, Mobile, Alabama 252818, Southern Agricultural Economics Association.
    7. Atwi, Majed & Barberán, Ramón & Mur, Jesús & Angulo, Ana, 2018. "CO2 Kuznets Curve Revisited: From Cross-Sections to Panel Data Models," INVESTIGACIONES REGIONALES - Journal of REGIONAL RESEARCH, Asociación Española de Ciencia Regional, issue 40, pages 169-196.
    8. 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.

  5. Wang, Lanlan & Xu, Jintao & Zheng, Xinye & Qin, Ping, "undated". "Will a Driving Restriction Policy Reduce Car Trips? A Case Study of Beijing, China," RFF Working Paper Series dp-13-11-efd, Resources for the Future.

    Cited by:

    1. Michael L. Anderson & Fangwen Lu & Yiran Zhang & Jun Yang & Ping Qin, 2015. "Superstitions, Street Traffic, and Subjective Well-Being," NBER Working Papers 21551, National Bureau of Economic Research, Inc.
    2. Zhao, Pengjun & Zhang, Yixue, 2018. "Travel behaviour and life course: Examining changes in car use after residential relocation in Beijing," Journal of Transport Geography, Elsevier, vol. 73(C), pages 41-53.
    3. Liu, Zhiyong & Li, Ruimin & Wang, Xiaokun(Cara) & Shang, Pan, 2018. "Effects of vehicle restriction policies: Analysis using license plate recognition data in Langfang, China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 118(C), pages 89-103.
    4. Hu, Xu & Yang, Zhaojun & Sun, Jun & Zhang, Yali, 2021. "Exempting battery electric vehicles from traffic restrictions: Impacts on market and environment under Pigovian taxation," Transportation Research Part A: Policy and Practice, Elsevier, vol. 154(C), pages 53-91.
    5. Chen, Xiaoguang & Ye, Jingjing, 2017. "When the Wind Blows: Spatial Spillover Effects of Urban Air Pollution," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 258256, Agricultural and Applied Economics Association.
    6. Yang, Yuan & Wang, Can & Liu, Wenling & Zhou, Peng, 2018. "Understanding the determinants of travel mode choice of residents and its carbon mitigation potential," Energy Policy, Elsevier, vol. 115(C), pages 486-493.
    7. 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.
    8. Jin, Tanhua & Cheng, Long & Liu, Zhicheng & Cao, Jun & Huang, Haosheng & Witlox, Frank, 2022. "Nonlinear public transit accessibility effects on housing prices: Heterogeneity across price segments," Transport Policy, Elsevier, vol. 117(C), pages 48-59.
    9. Liu, Zhiyong & Li, Ruimin & Wang, Xiaokun (Cara) & Shang, Pan, 2020. "Noncompliance behavior against vehicle restriction policy: A case study of Langfang, China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 132(C), pages 1020-1033.
    10. Sun, Chuanwang & Zhang, Wenyue & Luo, Yuan & Xu, Yonghong, 2019. "The improvement and substitution effect of transportation infrastructure on air quality: An empirical evidence from China's rail transit construction," Energy Policy, Elsevier, vol. 129(C), pages 949-957.
    11. Liu, Yunxia & Hong, Zaisheng & Liu, Yong, 2016. "Do driving restriction policies effectively motivate commuters to use public transportation?," Energy Policy, Elsevier, vol. 90(C), pages 253-261.
    12. Matthew Gibson & Maria Carnovale, 2015. "The Effects of Road Pricing on Driver Behavior and Air Pollution," Department of Economics Working Papers 2015-16, Department of Economics, Williams College.
    13. Loo, Becky P.Y. & Huang, Zhiran, 2021. "Delineating traffic congestion zones in cities: An effective approach based on GIS," Journal of Transport Geography, Elsevier, vol. 94(C).
    14. Kong, Deyang & Xia, Quhong & Xue, Yixi & Zhao, Xin, 2020. "Effects of multi policies on electric vehicle diffusion under subsidy policy abolishment in China: A multi-actor perspective," Applied Energy, Elsevier, vol. 266(C).
    15. Basso, Leonardo J. & Montero, Juan-Pablo & Sepúlveda, Felipe, 2021. "A practical approach for curbing congestion and air pollution: Driving restrictions with toll and vintage exemptions," Transportation Research Part A: Policy and Practice, Elsevier, vol. 148(C), pages 330-352.
    16. Magalhães, David José Ahouagi Vaz de & Rivera-Gonzalez, Carlos, 2021. "Car users’ attitudes towards an enhanced bus system to mitigate urban congestion in a developing country," Transport Policy, Elsevier, vol. 110(C), pages 452-464.
    17. Jain, Nikunj Kumar & Kaushik, Kapil & Choudhary, Piyush, 2021. "Sustainable perspectives on transportation: Public perception towards odd-even restrictive driving policy in Delhi, India," Transport Policy, Elsevier, vol. 106(C), pages 99-108.
    18. Li, Shengxiao (Alex) & Guan, Xiaodong & Wang, Donggen, 2022. "How do constrained car ownership and car use influence travel and life satisfaction?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 155(C), pages 202-218.
    19. Jia, Ning & Li, Liying & Ling, Shuai & Ma, Shoufeng & Yao, Wang, 2018. "Influence of attitudinal and low-carbon factors on behavioral intention of commuting mode choice – A cross-city study in China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 111(C), pages 108-118.
    20. He, Zhengbing, 2021. "Portraying ride-hailing mobility using multi-day trip order data: A case study of Beijing, China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 146(C), pages 152-169.
    21. Zhao, Chunli & Nielsen, Thomas Alexander Sick & Olafsson, Anton Stahl & Carstensen, Trine Agervig & Fertner, Christian, 2018. "Cycling environmental perception in Beijing – A study of residents' attitudes towards future cycling and car purchasing," Transport Policy, Elsevier, vol. 66(C), pages 96-106.
    22. Mehdizadeh, Milad & Shariat-Mohaymany, Afshin, 2020. "Who are more likely to break the rule of congestion charging? Evidence from an active scheme with no referendum voting," Transportation Research Part A: Policy and Practice, Elsevier, vol. 135(C), pages 63-79.
    23. Zhang, Linling & Long, Ruyin & Chen, Hong, 2019. "Do car restriction policies effectively promote the development of public transport?," World Development, Elsevier, vol. 119(C), pages 100-110.
    24. Linn, Joshua & Wang, Zhongmin & Xie, Lunyu, 2018. "The long-run effects of housing location on travel behavior: Evidence from China's housing reform," China Economic Review, Elsevier, vol. 49(C), pages 114-140.
    25. Liu, Antung A. & Linn, Joshua & Qin, Ping & Yang, Jun, 2018. "Vehicle ownership restrictions and fertility in Beijing," Journal of Development Economics, Elsevier, vol. 135(C), pages 85-96.
    26. Diao, Qinghua & Sun, Wei & Yuan, Xinmei & Li, Lili & Zheng, Zhi, 2016. "Life-cycle private-cost-based competitiveness analysis of electric vehicles in China considering the intangible cost of traffic policies," Applied Energy, Elsevier, vol. 178(C), pages 567-578.
    27. SHI, Jia & LEE, Ching-Hung & GUO, Xuesong & ZHU, Zhengwei, 2020. "Constructing an integrated stakeholder-based participatory policy evaluation model for urban traffic restriction," Technological Forecasting and Social Change, Elsevier, vol. 151(C).
    28. Yang, Zhenshan & Jia, Peng & Liu, Weidong & Yin, Hongchun, 2017. "Car ownership and urban development in Chinese cities: A panel data analysis," Journal of Transport Geography, Elsevier, vol. 58(C), pages 127-134.
    29. Linn, Joshua & Wang, Zhongmin & Xie, Lunyu, 2016. "Who will be affected by a congestion pricing scheme in Beijing?," Transport Policy, Elsevier, vol. 47(C), pages 34-40.
    30. Blackman, Allen & Qin, Ping & Yang, Jun, 2020. "How costly are driving restrictions? Contingent valuation evidence from Beijing," Journal of Environmental Economics and Management, Elsevier, vol. 104(C).

Articles

  1. Ma, Ben & Zheng, Xinye, 2018. "Biased data revisions: Unintended consequences of China's energy-saving mandates," China Economic Review, Elsevier, vol. 48(C), pages 102-113.

    Cited by:

    1. Tu, Zhengge & Hu, Tianyang & Shen, Renjun, 2019. "Evaluating public participation impact on environmental protection and ecological efficiency in China: Evidence from PITI disclosure," China Economic Review, Elsevier, vol. 55(C), pages 111-123.
    2. 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.
    3. Ma, Ben & Liu, Min, 2022. "Improved statistical consistency: The effect of data revisions on the energy use gap between China and its provinces," China Economic Review, Elsevier, vol. 73(C).
    4. Michael Meiser & Ingo Zinnikus, 2024. "A Survey on the Use of Synthetic Data for Enhancing Key Aspects of Trustworthy AI in the Energy Domain: Challenges and Opportunities," Energies, MDPI, vol. 17(9), pages 1-29, April.
    5. Nan Wu & Cunkuan Bao & Weichun Ma, 2023. "Consistency between Environmental Performance and Public Satisfaction and Their Planning Intervention Strategies: A Policy Text Analysis of Urban Environmental Planning," Sustainability, MDPI, vol. 15(6), pages 1-24, March.

  2. Khanna, Nina Zheng & Guo, Jin & Zheng, Xinye, 2016. "Effects of demand side management on Chinese household electricity consumption: Empirical findings from Chinese household survey," Energy Policy, Elsevier, vol. 95(C), pages 113-125.

    Cited by:

    1. Hung, Ming-Feng & Chie, Bin-Tzong, 2017. "The long-run performance of increasing-block pricing in Taiwan's residential electricity sector," Energy Policy, Elsevier, vol. 109(C), pages 782-793.
    2. 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).
    3. 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).
    4. Wei, Sun & Yanfeng, Xu, 2017. "Research on China's energy supply and demand using an improved Grey-Markov chain model based on wavelet transform," Energy, Elsevier, vol. 118(C), pages 969-984.
    5. Ming Meng & Shucheng Wu & Jin Zhou & Xinfang Wang, 2019. "What is Currently Driving the Growth of China’s Household Electricity Consumption? A Clustering and Decomposition Analysis," Sustainability, MDPI, vol. 11(17), pages 1-14, August.
    6. Guang, Fengtao & He, Yongxiu & Wen, Le, 2019. "Impacts of hybrid time-varying tariffs on residential electricity demand: The case of Zhejiang Province," Utilities Policy, Elsevier, vol. 61(C).
    7. Wu, Xin & Jiao, Dian & Liang, Kaixin & Han, Xiao, 2019. "A fast online load identification algorithm based on V-I characteristics of high-frequency data under user operational constraints," Energy, Elsevier, vol. 188(C).
    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. 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).
    10. Wang, Yao & Lin, Boqiang & Li, Minyang, 2021. "Is household electricity saving a virtuous circle? A case study of the first-tier cities in China," Applied Energy, Elsevier, vol. 285(C).
    11. Cheng, Fenfen & Yang, Shanlin & Zhou, Kaile, 2020. "Quantile partial adjustment model with application to predicting energy demand in China," Energy, Elsevier, vol. 191(C).
    12. Zou, Baoling & Mishra, Ashok K., 2020. "Appliance usage and choice of energy-efficient appliances: Evidence from rural Chinese households," Energy Policy, Elsevier, vol. 146(C).
    13. Meng, Ming & Wang, Lixue & Shang, Wei, 2018. "Decomposition and forecasting analysis of China's household electricity consumption using three-dimensional decomposition and hybrid trend extrapolation models," Energy, Elsevier, vol. 165(PA), pages 143-152.
    14. Yiping Gao & Rong Yuan & Shenglin Zheng, 2022. "Effects of Human Capital on Energy Consumption: The Role of Income Inequality," IJERPH, MDPI, vol. 19(24), pages 1-17, December.
    15. Monika Sipa & Iwona Gorzeń-Mitka, 2021. "Assessment of the Progress towards the Management of Renewable Energy Consumption in the Innovativeness Context—A Country Approach," Energies, MDPI, vol. 14(16), pages 1-21, August.
    16. Wang, Shubin & Sun, Shaolong & Zhao, Erlong & Wang, Shouyang, 2021. "Urban and rural differences with regional assessment of household energy consumption in China," Energy, Elsevier, vol. 232(C).
    17. Saha, Debalina & Bhattacharya, Rabindra N., 2018. "An analysis of elasticity of electricity demand in West Bengal, India: Some policy lessons learnt," Energy Policy, Elsevier, vol. 114(C), pages 591-597.
    18. Haoran Zhao & Huiru Zhao & Sen Guo, 2018. "Operational Efficiency of Chinese Provincial Electricity Grid Enterprises: An Evaluation Employing a Three-Stage Data Envelopment Analysis (DEA) Model," Sustainability, MDPI, vol. 10(9), pages 1-18, September.
    19. Wang, Na & Fu, Xiaodong & Wang, Shaobin & Yang, Hao & Li, Zhen, 2022. "Convergence characteristics and distribution patterns of residential electricity consumption in China: An urban-rural gap perspective," Energy, Elsevier, vol. 254(PB).
    20. Eka Sudarmaji & Sri Ambarwati & Mira Munira, 2022. "Measurement of the Rebound Effect on Urban Household Energy Consumption Savings," International Journal of Energy Economics and Policy, Econjournals, vol. 12(5), pages 88-100, September.
    21. Hu, Wenhao & Ho, Mun S. & Cao, Jing, 2019. "Energy consumption of urban households in China," China Economic Review, Elsevier, vol. 58(C).
    22. Lin, Boqiang & Wang, Yao, 2020. "Analyzing the elasticity and subsidy to reform the residential electricity tariffs in China," International Review of Economics & Finance, Elsevier, vol. 67(C), pages 189-206.
    23. Wang, Xiaolei & Wei, Chunxin & Wang, Yanhua, 2022. "Does the current tiered electricity pricing structure still restrain electricity consumption in China's residential sector?," Energy Policy, Elsevier, vol. 165(C).
    24. Wu, Ya & Zhang, Li, 2017. "Evaluation of energy saving effects of tiered electricity pricing and investigation of the energy saving willingness of residents," Energy Policy, Elsevier, vol. 109(C), pages 208-217.
    25. Mi, Lingyun & Zhu, Hanlin & Yang, Jie & Gan, Xiaoli & Xu, Ting & Qiao, Lijie & Liu, Qingyan, 2019. "A new perspective to promote low-carbon consumption: The influence of reference groups," Ecological Economics, Elsevier, vol. 161(C), pages 100-108.
    26. Wang, Zhaohua & Sun, Yefei & Wang, Bo, 2020. "Policy cognition is more effective than step tariff in promoting electricity saving behaviour of residents," Energy Policy, Elsevier, vol. 139(C).
    27. Seier, Maximilian & Schebek, Liselotte, 2017. "Model-based investigation of residual load smoothing through dynamic electricity purchase: The case of wastewater treatment plants in Germany," Applied Energy, Elsevier, vol. 205(C), pages 210-224.
    28. Ayertey, Winfred & Sharifi, Ayyoob & Yoshida, Yuichiro, 2024. "The impact of increase in block pricing on electricity demand responsiveness: Evidence from Ghana," Energy, Elsevier, vol. 288(C).
    29. 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).
    30. Wang, Xia & Feng, Wei & Cai, Weiguang & Ren, Hong & Ding, Chao & Zhou, Nan, 2019. "Do residential building energy efficiency standards reduce energy consumption in China? – A data-driven method to validate the actual performance of building energy efficiency standards," Energy Policy, Elsevier, vol. 131(C), pages 82-98.
    31. Wang, Yao & Lin, Boqiang, 2021. "Performance of alternative electricity prices on residential welfare in China," Energy Policy, Elsevier, vol. 153(C).
    32. Lin, Boqiang & Chen, Xing, 2018. "Is the implementation of the Increasing Block Electricity Prices policy really effective?--- Evidence based on the analysis of synthetic control method," Energy, Elsevier, vol. 163(C), pages 734-750.
    33. Koch, Steven F. & Nkuna, Blessings & Ye, Yuxiang, 2024. "Income elasticity of residential electricity consumption in rural South Africa," Energy Economics, Elsevier, vol. 131(C).
    34. Ming-Feng Hung & Bin-Tzong Chie & Huei-Chu Liao, 2020. "A Comparison of Electricity-Pricing Programs: Economic Efficiency, Cost Recovery, and Income Distribution," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 56(1), pages 143-163, February.
    35. Salim, Ruhul & Yao, Yao & Chen, George S., 2017. "Does human capital matter for energy consumption in China?," Energy Economics, Elsevier, vol. 67(C), pages 49-59.
    36. Li, Lanlan & Ming, Huayang & Fu, Weizhong & Shi, Quan & Yu, Shiwei, 2021. "Exploring household natural gas consumption patterns and their influencing factors: An integrated clustering and econometric method," Energy, Elsevier, vol. 224(C).
    37. Lanlan Li & Huayang Ming & Ranran Yang & Xuan Luo, 2020. "The Impact of Policy Factors and Users’ Awareness on Electricity-Saving Behaviors: From the Perspective of Habits and Investment," Sustainability, MDPI, vol. 12(12), pages 1-23, June.
    38. Sania Malik, 2021. "Residential Electricity Consumers and Increasing Block Pricing Policy in Pakistan: Evidence Based on Household Level Primary Data," Journal of Economic Impact, Science Impact Publishers, vol. 3(2), pages 80-87.
    39. Petricli, Gulcan & Inkaya, Tulin & Gokay Emel, Gul, 2024. "Identifying green citizen typologies by mining household-level survey data," Renewable and Sustainable Energy Reviews, Elsevier, vol. 189(PA).
    40. Förster, Robert & Harding, Sebastian & Buhl, Hans Ulrich, 2024. "Unleashing the economic and ecological potential of energy flexibility: Attractiveness of real-time electricity tariffs in energy crises," Energy Policy, Elsevier, vol. 185(C).

  3. Guo, Jin & Zheng, Xinye & Chen, Zhan-Ming, 2016. "How does coal price drive up inflation? Reexamining the relationship between coal price and general price level in China," Energy Economics, Elsevier, vol. 57(C), pages 265-276.

    Cited by:

    1. Benkraiem, Ramzi & Lahiani, Amine & Miloudi, Anthony & Shahbaz, Muhammad, 2018. "New insights into the US stock market reactions to energy price shocks," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 56(C), pages 169-187.
    2. 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).
    3. 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).
    4. Batten, Jonathan A. & Kinateder, Harald & Szilagyi, Peter G. & Wagner, Niklas F., 2019. "Time-varying energy and stock market integration in Asia," Energy Economics, Elsevier, vol. 80(C), pages 777-792.
    5. Zhang, Kefei & Cao, Hua & Thé, Jesse & Yu, Hesheng, 2022. "A hybrid model for multi-step coal price forecasting using decomposition technique and deep learning algorithms," Applied Energy, Elsevier, vol. 306(PA).
    6. Batten, Jonathan A. & Kinateder, Harald & Szilagyi, Peter G. & Wagner, Niklas F., 2017. "Can stock market investors hedge energy risk? Evidence from Asia," Energy Economics, Elsevier, vol. 66(C), pages 559-570.
    7. Wang, Brian Yutao & Li, Shuo & Liu, Guangqiang & Yang, Zhiqing, 2021. "Running out of energy: The Price effect of energy deficiency," Energy Economics, Elsevier, vol. 100(C).
    8. Yang, Qing & Zhang, Lei & Zhang, Jinsuo & Zou, Shaohui, 2021. "System simulation and policy optimization of China's coal production capacity deviation in terms of the economy, environment, and energy security," Resources Policy, Elsevier, vol. 74(C).
    9. Wang, Tiantian & Wu, Fei & Dickinson, David & Zhao, Wanli, 2024. "Energy price bubbles and extreme price movements: Evidence from China's coal market," Energy Economics, Elsevier, vol. 129(C).
    10. Hsiao, Cody Yu-Ling & Chen, Hsing Hung, 2018. "The contagious effects on economic development after resuming construction policy for nuclear power plants in Coastal China," Energy, Elsevier, vol. 152(C), pages 291-302.
    11. Li, Jianglong & Xie, Chunping & Long, Houyin, 2019. "The roles of inter-fuel substitution and inter-market contagion in driving energy prices: evidences from China’s coal market," LSE Research Online Documents on Economics 102540, London School of Economics and Political Science, LSE Library.
    12. Zhu, Junpeng & Lin, Boqiang, 2020. "Convergence analysis of city-level energy intensity in China," Energy Policy, Elsevier, vol. 139(C).
    13. Yu, Chenyang & Fu, Changluan & Xu, Piaoyang, 2024. "Energy shock, industrial transformation and macroeconomic fluctuations," International Review of Financial Analysis, Elsevier, vol. 92(C).
    14. Gu, Fu & Wang, Jiqiang & Guo, Jianfeng & Fan, Ying, 2020. "How the supply and demand of steam coal affect the investment in clean energy industry? Evidence from China," Resources Policy, Elsevier, vol. 69(C).
    15. Rui Huang & Shaohui Zhang & Changxin Liu, 2018. "Comparing Urban and Rural Household CO 2 Emissions—Case from China’s Four Megacities: Beijing, Tianjin, Shanghai, and Chongqing," Energies, MDPI, vol. 11(5), pages 1-17, May.
    16. 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).
    17. Chen, Zhan-Ming & Chen, Pei-Lin & Ma, Zeming & Xu, Shiyun & Hayat, Tasawar & Alsaedi, Ahmed, 2019. "Inflationary and distributional effects of fossil energy price fluctuation on the Chinese economy," Energy, Elsevier, vol. 187(C).
    18. Li, Jianglong & Xie, Chunping & Long, Houyin, 2019. "The roles of inter-fuel substitution and inter-market contagion in driving energy prices: Evidences from China’s coal market," Energy Economics, Elsevier, vol. 84(C).
    19. Xu, Mengjie & Li, Xiang & Li, Qianwen & Sun, Chuanwang, 2024. "LNBi-GRU model for coal price prediction and pattern recognition analysis," Applied Energy, Elsevier, vol. 365(C).
    20. Boqiang Lin & Tianxu Lan, 2024. "The time‐varying volatility spillover effects between China's coal and metal market," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 44(5), pages 699-719, May.
    21. İbrahim Özmen & Şerife Özşahin, 2023. "Effects of global energy and price fluctuations on Turkey's inflation: new evidence," Economic Change and Restructuring, Springer, vol. 56(4), pages 2695-2728, August.
    22. Chai, Jian & Wei, Zhaohao & Hu, Yi & Su, Siping & Zhang, Zhe George, 2019. "Is China's natural gas market globally connected?," Energy Policy, Elsevier, vol. 132(C), pages 940-949.
    23. Lin, Boqiang & Wang, Chonghao, 2021. "Impacts of coal prices on the performance of Chinese financial institutions: Does electricity consumption matter?," International Review of Economics & Finance, Elsevier, vol. 76(C), pages 884-896.
    24. Wang, Tiantian & Wu, Fei & Zhang, Dayong & Ji, Qiang, 2023. "Energy market reforms in China and the time-varying connectedness of domestic and international markets," Energy Economics, Elsevier, vol. 117(C).
    25. Chen, Baifan & Huang, Jionghao & Liu, Danhe & Xia, Xiaohua, 2024. "Time-frequency return connectedness between Chinese coal futures and international stock indices," International Review of Economics & Finance, Elsevier, vol. 89(PB), pages 316-333.
    26. Ding, Lili & Zhao, Zhongchao & Han, Meng, 2021. "Probability density forecasts for steam coal prices in China: The role of high-frequency factors," Energy, Elsevier, vol. 220(C).
    27. Guangyong Zhang & Lixin Tian & Min Fu & Bingyue Wan & Wenbin Zhang, 2020. "Research on the Transmission Ability of China’s Thermal Coal Price Information Based on Directed Limited Penetrable Interdependent Network," Sustainability, MDPI, vol. 12(18), pages 1-23, September.

  4. Jin Guo & Xinye Zheng & Feng Song, 2016. "The Resource Curse and Its Transmission Channels: An Empirical Investigation of Chinese Cities’ Panel Data," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 52(6), pages 1325-1334, June.

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    1. Cheng Peng & Dianzhuang Feng & Hai Long, 2022. "Assessing the Contribution of Natural Gas Exploitation to the Local Economic Growth in China," Energies, MDPI, vol. 15(16), pages 1-17, August.
    2. Hilmawan, Rian & Clark, Jeremy, 2019. "An investigation of the resource curse in Indonesia," Resources Policy, Elsevier, vol. 64(C).
    3. Zheng, Heyun & Ge, Liming, 2022. "Carbon emissions reduction effects of sustainable development policy in resource-based cities from the perspective of resource dependence: Theory and Chinese experience," Resources Policy, Elsevier, vol. 78(C).
    4. Hui Hu & Weijun Ran & Yuchen Wei & Xiang Li, 2020. "Do Energy Resource Curse and Heterogeneous Curse Exist in Provinces? Evidence from China," Energies, MDPI, vol. 13(17), pages 1-26, August.
    5. 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).
    6. Alvarado, Rafael & Murshed, Muntasir & Cifuentes-Faura, Javier & Işık, Cem & Razib Hossain, Mohammad & Tillaguango, Brayan, 2023. "Nexuses between rent of natural resources, economic complexity, and technological innovation: The roles of GDP, human capital and civil liberties," Resources Policy, Elsevier, vol. 85(PA).

  5. Chen, Zhan-Ming & Liu, Yu & Qin, Ping & Zhang, Bo & Lester, Leo & Chen, Guanghua & Guo, Yumei & Zheng, Xinye, 2015. "Environmental externality of coal use in China: Welfare effect and tax regulation," Applied Energy, Elsevier, vol. 156(C), pages 16-31.

    Cited by:

    1. Yang, Dong-xiao & Chen, Zi-yue & Yang, Yong-cong & Nie, Pu-yan, 2019. "Green financial policies and capital flows," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 522(C), pages 135-146.
    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. Wang, Xiaoyin & Gao, Cuiyun, 2024. "Does green finance policy help to improve carbon reduction welfare performance? Evidence from China," Energy Economics, Elsevier, vol. 132(C).
    4. Zhang, B. & Qiao, H. & Chen, Z.M. & Chen, B., 2016. "Growth in embodied energy transfers via China’s domestic trade: Evidence from multi-regional input–output analysis," Applied Energy, Elsevier, vol. 184(C), pages 1093-1105.
    5. 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.
    6. Li, Hongjun & Chang, Qinghua & Gao, Rui & Dai, Zhenghua & Chen, Xueli & Yu, Guangsuo & Wang, Fuchen, 2018. "Fractal characteristics and reactivity evolution of lignite during the upgrading process by supercritical CO2 extraction," Applied Energy, Elsevier, vol. 225(C), pages 559-569.
    7. Zhang, Bin & Niu, Niu & Li, Hao & Wang, Zhaohua, 2023. "Assessing the efforts of coal phaseout for carbon neutrality in China," Applied Energy, Elsevier, vol. 352(C).
    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. Fang, Guochang & Tian, Lixin & Fu, Min & Sun, Mei & Du, Ruijin & Lu, Longxi & He, Yu, 2017. "The effect of energy construction adjustment on the dynamical evolution of energy-saving and emission-reduction system in China," Applied Energy, Elsevier, vol. 196(C), pages 180-189.
    10. Mardones, Cristian & Baeza, Nicolas, 2018. "Economic and environmental effects of a CO2 tax in Latin American countries," Energy Policy, Elsevier, vol. 114(C), pages 262-273.
    11. Li, Zhaoling & Dai, Hancheng & Sun, Lu & Xie, Yang & Liu, Zhu & Wang, Peng & Yabar, Helmut, 2018. "Exploring the impacts of regional unbalanced carbon tax on CO2 emissions and industrial competitiveness in Liaoning province of China," Energy Policy, Elsevier, vol. 113(C), pages 9-19.
    12. Xu, Jiuping & Huang, Qian & Lv, Chengwei & Feng, Qing & Wang, Fengjuan, 2018. "Carbon emissions reductions oriented dynamic equilibrium strategy using biomass-coal co-firing," Energy Policy, Elsevier, vol. 123(C), pages 184-197.
    13. 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.
    14. Yuhanis Ladewi & Meiryani Meiryani & Ahmad Syamil & Agustini Agustini & Agustinus Winoto, 2024. "The Relation between Climate Change and Carbon Emission Trading: A Bibliometric Analysis," International Journal of Energy Economics and Policy, Econjournals, vol. 14(1), pages 686-697, January.
    15. Vögele, Stefan & Rübbelke, Dirk & Mayer, Philip & Kuckshinrichs, Wilhelm, 2018. "Germany’s “No” to carbon capture and storage: Just a question of lacking acceptance?," Applied Energy, Elsevier, vol. 214(C), pages 205-218.
    16. Chun Deng & Jie-Fang Dong, 2016. "Coal Consumption Reduction in Shandong Province: A Dynamic Vector Autoregression Model," Sustainability, MDPI, vol. 8(9), pages 1-16, August.
    17. DOGBE, Wisdom & Gil, Jose M., 2017. "Environmental, Nutritional and Welfare Effects of Introducing a Carbon Tax on Food Products in Spain," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 258132, Agricultural and Applied Economics Association.
    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. Xu, Bin & Lin, Boqiang, 2016. "A quantile regression analysis of China's provincial CO2 emissions: Where does the difference lie?," Energy Policy, Elsevier, vol. 98(C), pages 328-342.
    20. Wang, Ke & Wang, Shanshan & Liu, Lei & Yue, Hui & Zhang, Ruiqin & Tang, Xiaoyan, 2016. "Environmental co-benefits of energy efficiency improvement in coal-fired power sector: A case study of Henan Province, China," Applied Energy, Elsevier, vol. 184(C), pages 810-819.
    21. Fuentes-Cortés, Luis Fabián & Ma, Yan & Ponce-Ortega, Jose María & Ruiz-Mercado, Gerardo & Zavala, Victor M., 2018. "Valuation of water and emissions in energy systems," Applied Energy, Elsevier, vol. 210(C), pages 518-528.
    22. Li, Nan & Ma, Ding & Chen, Wenying, 2017. "Quantifying the impacts of decarbonisation in China’s cement sector: A perspective from an integrated assessment approach," Applied Energy, Elsevier, vol. 185(P2), pages 1840-1848.
    23. 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.
    24. Chen, Hua-Qi & Wang, Xiuping & He, Li & Chen, Ping & Wan, Yuehua & Yang, Lingyun & Jiang, Shuian, 2016. "Chinese energy and fuels research priorities and trend: A bibliometric analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 58(C), pages 966-975.
    25. Ali, Syed Ahtsham & Alharthi, Majed & Hussain, Hafezali Iqbal & Rasul, Farhat & Hanif, Imran & Haider, Jahanzaib & Ullah, Saad & ur Rahman, Saeed & Abbas, Qaiser, 2021. "A clean technological innovation and eco-efficiency enhancement: A multi-index assessment of sustainable economic and environmental management," Technological Forecasting and Social Change, Elsevier, vol. 166(C).
    26. Dogbe, Wisdom & Gil, Jose Maria, 2017. "Distributional Impacts of Green Taxes on Food Consumption in Catalonia," 2017 International Congress, August 28-September 1, 2017, Parma, Italy 261416, European Association of Agricultural Economists.
    27. An, Yunfei & Zhou, Dequn & Wang, Qunwei & Shi, Xunpeng & Taghizadeh-Hesary, Farhad, 2022. "Mitigating size bias for carbon pricing in small Asia-Pacific countries: Increasing block carbon tax," Energy Policy, Elsevier, vol. 161(C).
    28. Liu, HuiHui & Zhang, ZhongXiang & Chen, Zhan-Ming & Dou, DeSheng, 2019. "The impact of China's electricity price deregulation on coal and power industries: Two-stage game modeling," Energy Policy, Elsevier, vol. 134(C).
    29. Wesseh, Presley K. & Lin, Boqiang & Atsagli, Philip, 2017. "Carbon taxes, industrial production, welfare and the environment," Energy, Elsevier, vol. 123(C), pages 305-313.
    30. Arce, Guadalupe & López, Luis Antonio & Guan, Dabo, 2016. "Carbon emissions embodied in international trade: The post-China era," Applied Energy, Elsevier, vol. 184(C), pages 1063-1072.
    31. Wang, Chang'an & Wu, Song & Lv, Qiang & Liu, Xuan & Chen, Wufeng & Che, Defu, 2017. "Study on correlations of coal chemical properties based on database of real-time data," Applied Energy, Elsevier, vol. 204(C), pages 1115-1123.
    32. Dong, Changgui & Qi, Ye & Dong, Wenjuan & Lu, Xi & Liu, Tianle & Qian, Shuai, 2018. "Decomposing driving factors for wind curtailment under economic new normal in China," Applied Energy, Elsevier, vol. 217(C), pages 178-188.

  6. Xinye Zheng & Feng Song & Yihua Yu & Shunfeng Song, 2015. "In Search of Fiscal Interactions: A Spatial Analysis of Chinese Provincial Infrastructure Spending," Review of Development Economics, Wiley Blackwell, vol. 19(4), pages 860-876, November.
    See citations under working paper version above.
  7. Qin, Ping & Zheng, Xinye & Wang, Lanlan, 2014. "Travel mode choice and impact of fuel tax in Beijing," Environment and Development Economics, Cambridge University Press, vol. 19(1), pages 92-110, February.

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    1. Perrings, Charles, 2014. "Environment and development economics 20 years on," Environment and Development Economics, Cambridge University Press, vol. 19(3), pages 333-366, June.
    2. Turan, Fikret Korhan, 2024. "A theoretical stakeholder model of automotive industry and policy implications for sustainable transport after Dieselgate," Transport Policy, Elsevier, vol. 148(C), pages 192-205.
    3. Liu, Kai & Wang, Ming & Zhu, Weihua & Wu, Jinshan & Yan, Xiaoyong, 2018. "Vulnerability analysis of an urban gas pipeline network considering pipeline-road dependency," International Journal of Critical Infrastructure Protection, Elsevier, vol. 23(C), pages 79-89.
    4. Chen, Yong & Geng, Maosi & Zeng, Jiaqi & Yang, Di & Zhang, Lei & Chen, Xiqun (Michael), 2023. "A novel ensemble model with conditional intervening opportunities for ride-hailing travel mobility estimation," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 628(C).
    5. Hui Shao & Biao Ye & Hao-ran Pan, 2022. "Energy conservation and emission reduction effects of fuel tax and assessment of economic impacts-based on the Beijing 3E-CGE model," Letters in Spatial and Resource Sciences, Springer, vol. 15(3), pages 377-399, December.

  8. Yu, Yihua & Zheng, Xinye & Han, Yi, 2014. "On the demand for natural gas in urban China," Energy Policy, Elsevier, vol. 70(C), pages 57-63.

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    1. 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.
    2. Jean Gaston Tamba & Salom Ndjakomo Essiane & Emmanuel Flavian Sapnken & Francis Djanna Koffi & Jean Luc Nsouand l & Bozidar Soldo & Donatien Njomo, 2018. "Forecasting Natural Gas: A Literature Survey," International Journal of Energy Economics and Policy, Econjournals, vol. 8(3), pages 216-249.
    3. Zhang, Yi & Ji, Qiang & Fan, Ying, 2018. "The price and income elasticity of China's natural gas demand: A multi-sectoral perspective," Energy Policy, Elsevier, vol. 113(C), pages 332-341.
    4. Jian Chai & Huiting Shi & Xiaoyang Zhou & Shouyang Wang, 2018. "The Price Elasticity of Natural Gas Demand in China: A Meta-Regression Analysis," Energies, MDPI, vol. 11(12), pages 1-18, November.
    5. Biresselioglu, Mehmet Efe & Yelkenci, Tezer, 2016. "Scrutinizing the causality relationships between prices, production and consumption of fossil fuels: A panel data approach," Energy, Elsevier, vol. 102(C), pages 44-53.
    6. Paul J Burke & Hewen Yang, 2016. "The price and income elasticities of natural gas demand: International evidence," Departmental Working Papers 2016-14, The Australian National University, Arndt-Corden Department of Economics.
    7. Li, Jiaman & Dong, Xiucheng & Jiang, Qingzhe & Dong, Kangyin & Liu, Guixian, 2021. "Natural gas trade network of countries and regions along the belt and road: Where to go in the future?," Resources Policy, Elsevier, vol. 71(C).
    8. Liu, Guixian & Dong, Xiucheng & Jiang, Qingzhe & Dong, Cong & Li, Jiaman, 2018. "Natural gas consumption of urban households in China and corresponding influencing factors," Energy Policy, Elsevier, vol. 122(C), pages 17-26.
    9. Chansu Lim, 2019. "Estimating Residential and Industrial City Gas Demand Function in the Republic of Korea—A Kalman Filter Application," Sustainability, MDPI, vol. 11(5), pages 1-12, March.
    10. Reyes, Orlando & Sánchez, Luis, 2016. "La demanda de gasolinas, gas licuado de petróleo y electricidad en el Ecuador: elementos para una reforma fiscal ambiental," Documentos de Proyectos 40629, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL).
    11. Copiello, Sergio & Grillenzoni, Carlo, 2017. "Is the cold the only reason why we heat our homes? Empirical evidence from spatial series data," Applied Energy, Elsevier, vol. 193(C), pages 491-506.
    12. Halim Tatli, 2019. "Factors affecting industrial coal demand in Turkey," Energy & Environment, , vol. 30(6), pages 1027-1048, September.
    13. Gong, Chengzhu & Yu, Shiwei & Zhu, Kejun & Hailu, Atakelty, 2016. "Evaluating the influence of increasing block tariffs in residential gas sector using agent-based computational economics," Energy Policy, Elsevier, vol. 92(C), pages 334-347.
    14. Sarvar Gurbanov & Jeyhun I. Mikayilov & Shahriyar Mukhtarov & Shahin Maharramli, 2023. "The price and income elasticities of natural gas demand in Azerbaijan: Is there room to export more?," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-11, December.
    15. Tomasz Cieślik & Piotr Narloch & Adam Szurlej & Krzysztof Kogut, 2022. "Indirect Impact of the COVID-19 Pandemic on Natural Gas Consumption by Commercial Consumers in a Selected City in Poland," Energies, MDPI, vol. 15(4), pages 1-18, February.
    16. Wu, Shu & Ding, Song, 2021. "Efficiency improvement, structural change, and energy intensity reduction: Evidence from Chinese agricultural sector," Energy Economics, Elsevier, vol. 99(C).
    17. Huntington, Hillard & Barrios, James & Arora, Vipin, 2017. "Review of Key International Demand Elasticities for Major Industrializing Economies," MPRA Paper 95890, University Library of Munich, Germany, revised Aug 2019.
    18. Lin, Boqiang & Li, Zhensheng, 2020. "Analysis of the natural gas demand and subsidy in China: A multi-sectoral perspective," Energy, Elsevier, vol. 202(C).
    19. Gao, Yanyan & Zheng, Jianghuai, 2022. "Clearing the air through pipes? An evaluation of the air pollution reduction effect of China's natural gas pipeline projects," Energy Policy, Elsevier, vol. 160(C).
    20. Li, Lanlan & Luo, Xuan & Zhou, Kaile & Xu, Tingting, 2018. "Evaluation of increasing block pricing for households' natural gas: A case study of Beijing, China," Energy, Elsevier, vol. 157(C), pages 162-172.
    21. He, Youwei & Wang, Ning & Tang, Yong & Tang, Liangrui & He, Zhiyue & Rui, Zhenhua, 2024. "Formation-water evaporation and salt precipitation mechanism in porous media under movable water conditions in underground gas storage," Energy, Elsevier, vol. 286(C).
    22. Khan, Muhammad Arshad, 2015. "Modelling and forecasting the demand for natural gas in Pakistan," Renewable and Sustainable Energy Reviews, Elsevier, vol. 49(C), pages 1145-1159.
    23. Hu, Wenhao & Ho, Mun S. & Cao, Jing, 2019. "Energy consumption of urban households in China," China Economic Review, Elsevier, vol. 58(C).
    24. Jing Li & Lingling Song & Yanchun Zhu, 2020. "Subsidies, Clean Heating Choices, and Policy Costs: Evidence from Rural Households in Northern China," Sustainability, MDPI, vol. 13(1), pages 1-18, December.
    25. Christos Tsirimokos & Georgios Maroulis, 2016. "Price and Income Elasticities of Demand for Crude Oil. A study of thirteen OECD and Non-OECD Countries," Bulletin of Political Economy, Bulletin of Political Economy, vol. 10(2), pages 161-180, December.
    26. Li, Lanlan & Gong, Chengzhu & Tian, Shizhong & Jiao, Jianling, 2016. "The peak-shaving efficiency analysis of natural gas time-of-use pricing for residential consumers: Evidence from multi-agent simulation," Energy, Elsevier, vol. 96(C), pages 48-58.
    27. Verdeil, Éric & Arik, Elvan & Bolzon, Hugo & Markoum, Jimmy, 2015. "Governing the transition to natural gas in Mediteranean Metropolis: The case of Cairo, Istanbul and Sfax (Tunisia)," Energy Policy, Elsevier, vol. 78(C), pages 235-245.
    28. Yu, Feng & Xu, Xiaozhong, 2014. "A short-term load forecasting model of natural gas based on optimized genetic algorithm and improved BP neural network," Applied Energy, Elsevier, vol. 134(C), pages 102-113.
    29. Jumah Ahmad Alzyadat, 2022. "The Price and Income Elasticity of Demand for Natural Gas Consumption in Saudi Arabia," International Journal of Energy Economics and Policy, Econjournals, vol. 12(6), pages 357-363, November.
    30. Soltanisarvestani, A. & Safavi, A.A., 2021. "Modeling unaccounted-for gas among residential natural gas consumers using a comprehensive fuzzy cognitive map," Utilities Policy, Elsevier, vol. 72(C).
    31. Zhang, Zibin & Cai, Wenxin & Feng, Xiangzhao, 2017. "How do urban households in China respond to increasing block pricing in electricity? Evidence from a fuzzy regression discontinuity approach," Energy Policy, Elsevier, vol. 105(C), pages 161-172.
    32. Kostakis, Ioannis & Lolos, Sarantis & Sardianou, Eleni, 2021. "Residential natural gas demand: Assessing the evidence from Greece using pseudo-panels, 2012–2019," Energy Economics, Elsevier, vol. 99(C).
    33. Malzi, Mohamed Jaouad & Sohag, Kazi & Vasbieva, Dinara G. & Ettahir, Aziz, 2020. "Environmental policy effectiveness on residential natural gas use in OECD countries," Resources Policy, Elsevier, vol. 66(C).

  9. Zheng, Xinye & Wei, Chu & Qin, Ping & Guo, Jin & Yu, Yihua & Song, Feng & Chen, Zhanming, 2014. "Characteristics of residential energy consumption in China: Findings from a household survey," Energy Policy, Elsevier, vol. 75(C), pages 126-135.

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    3. Lu, Ding & Liu, Zijian & Bai, Yin & Cheng, Rui & Gong, Maoqiong, 2022. "Study on the multi-energy complementary absorption system applied for combined cooling and heating in cold winter and hot summer areas," Applied Energy, Elsevier, vol. 312(C).
    4. Jiang, Zhixiang & Dai, Yanhui & Luo, Xianxiang & Liu, Guocheng & Wang, Hefang & Zheng, Hao & Wang, Zhenyu, 2017. "Assessment of bioenergy development potential and its environmental impact for rural household energy consumption: A case study in Shandong, China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 67(C), pages 1153-1161.
    5. 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.
    6. 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.
    7. Nguyen, Trung Thanh & Nguyen, Thanh-Tung & Hoang, Viet-Ngu & Wilson, Clevo, 2019. "Energy transition, poverty and inequality: panel evidence from Vietnam," MPRA Paper 107182, University Library of Munich, Germany, revised 10 May 2019.
    8. 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).
    9. Chen, Qiu, 2021. "District or distributed space heating in rural residential sector? Empirical evidence from a discrete choice experiment in South China," Energy Policy, Elsevier, vol. 148(PA).
    10. Zhou, Hui & Bukenya, James O., 2016. "Information inefficiency and willingness-to-pay for energy-efficient technology: A stated preference approach for China Energy Label," Energy Policy, Elsevier, vol. 91(C), pages 12-21.
    11. Lei Zhao & Wenbin Pan & Hao Lin, 2022. "Can Fujian Achieve Carbon Peak and Pollutant Reduction Targets before 2030? Case Study of 3E System in Southeastern China Based on System Dynamics," Sustainability, MDPI, vol. 14(18), pages 1-22, September.
    12. Li, Chuan-Zhong & Wei, Chu & Yu, Yang, 2020. "Income threshold, household appliance ownership and residential energy consumption in urban China," China Economic Review, Elsevier, vol. 60(C).
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  10. Zheng, Xinye & Li, Fanghua & Song, Shunfeng & Yu, Yihua, 2013. "Central government's infrastructure investment across Chinese regions: A dynamic spatial panel data approach," China Economic Review, Elsevier, vol. 27(C), pages 264-276.
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  11. Yihua Yu & Li Zhang & Fanghua Li & Xinye Zheng, 2013. "Strategic interaction and the determinants of public health expenditures in China: a spatial panel perspective," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 50(1), pages 203-221, February.

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    1. Felipa de Mello-Sampayo, 2020. "Spatial Interaction Model for Healthcare Accessibility: What Scale Has to Do with It," Sustainability, MDPI, vol. 12(10), pages 1-19, May.
    2. Olufunmilayo S. Tajudeen & Ibrahim A. Tajudeen & Risikat O. Dauda, 2018. "Quantifying Impacts of Macroeconomic and Non‐economic Factors on Public Health Expenditure: A Structural Time Series Model," African Development Review, African Development Bank, vol. 30(2), pages 200-218, June.
    3. Jülide Yildirim & Nadir Öcal, 2016. "Military expenditures, economic growth and spatial spillovers," Defence and Peace Economics, Taylor & Francis Journals, vol. 27(1), pages 87-104, February.
    4. Sebastian Langer, 2019. "Expenditure interactions between municipalities and the role of agglomeration forces: a spatial analysis for North Rhine-Westphalia," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 62(3), pages 497-527, June.
    5. Kalamov, Zarko & Staal, Klaas, 2023. "Too-big-to-fail in federations?," Regional Science and Urban Economics, Elsevier, vol. 101(C).
    6. Matteo Lippi Bruni & Irene Mammi, 2017. "Spatial effects in hospital expenditures: A district level analysis," Health Economics, John Wiley & Sons, Ltd., vol. 26(S2), pages 63-77, September.
    7. Canfei He, 2016. "Economic Transition, Urban Dynamics, and Economic Development in China: An Introduction to the Special Issue," Growth and Change, Wiley Blackwell, vol. 47(1), pages 4-8, March.
    8. Hui Jin & Xinyi Qian, 2020. "How the Chinese Government Has Done with Public Health from the Perspective of the Evaluation and Comparison about Public-Health Expenditure," IJERPH, MDPI, vol. 17(24), pages 1-16, December.
    9. Sebastien Bourdin & Sevgi Eda Tuzcu & Esra Satıcı, 2023. "Explaining COVID‐19 vaccine uptake: A spatial sociodemographic study in Turkey," Papers in Regional Science, Wiley Blackwell, vol. 102(2), pages 307-329, April.
    10. Zheng, Xinye & Song, Feng & Yu, Yihua & Song, Shunfeng, 2014. "In Search of Fiscal Interactions: A Spatial Analysis of Chinese Provincial Infrastructure Spending," MPRA Paper 61615, University Library of Munich, Germany.
    11. Wanshu Wu & Ziying Ma & Jinhan Guo & Xinyi Niu & Kai Zhao, 2022. "Evaluating the Effects of Built Environment on Street Vitality at the City Level: An Empirical Research Based on Spatial Panel Durbin Model," IJERPH, MDPI, vol. 19(3), pages 1-24, January.
    12. Massimiliano Agovino & Giuliana Parodi, 2015. "Human Development and the Determinants of the Incidence of Civilian Disability Pensions in Italy: A Spatial Panel Perspective," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 122(2), pages 553-576, June.
    13. Jamiil Jeetoo, 2020. "Spillover effects in public healthcare expenditure in Sub‐Saharan Africa: A spatial panel analysis," African Development Review, African Development Bank, vol. 32(2), pages 257-268, June.
    14. Marcelo Castro & Enlinson Mattos & Fernanda Patriota, 2021. "The effects of health spending on the propagation of infectious diseases," Health Economics, John Wiley & Sons, Ltd., vol. 30(10), pages 2323-2344, September.
    15. Dũng Tuấn Nguyễn & Takeshi Miyazaki, 2023. "Strategic interaction among Japanese municipalities regarding public servant salary levels," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 71(2), pages 463-485, October.
    16. Arfat Ahmad Sofi & Subash Sasidharan, 2018. "Do Indian States Mimic, Compete or Interact in Local Public Spending? A Spatial Econometric Analysis," Asian Economic Journal, East Asian Economic Association, vol. 32(2), pages 187-213, June.
    17. Dechun Liu & Xinye Zheng & Yihua Yu, 2022. "Public Debt Competition in Local China: Evidence and Mechanism of Spatial Interactions," Regional Science Policy & Practice, Wiley Blackwell, vol. 14(S2), pages 91-105, November.
    18. Shulin Wan & Weixin Luan & Qiaoqiao Lin, 2021. "Industry linkage, spatial correlation, and city exports: case study of the textile and clothing export industry in China," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 66(1), pages 91-112, February.
    19. Jorge Ferreira & Alexandre Alves & Emilie Caldeira, 2016. "Elections and externalities of health expenditures: Spatial patterns and opportunism in the local budget allocation," ERSA conference papers ersa16p933, European Regional Science Association.
    20. Wang, Jian & Wu, Qun & Yan, Siqi & Guo, Guancheng & Peng, Shangui, 2020. "China’s local governments breaking the land use planning quota: A strategic interaction perspective," Land Use Policy, Elsevier, vol. 92(C).
    21. Cong Yu & Linke Hou & Yuxia Lyu & Qi Zhang, 2022. "Political competition, spatial interactions, and default risk of local government debts in China," Papers in Regional Science, Wiley Blackwell, vol. 101(3), pages 717-743, June.
    22. Zheng, Xinye & Wang, Jing & Li, Xilu & Yu, Yihua, 2013. "On the supply of China's healthcare resources in a decentralized healthcare system," MPRA Paper 56030, University Library of Munich, Germany.
    23. Xu Lin & Lizi Wu, 2021. "Interdependence among mental health care providers: evidence from a spatial dynamic panel data model with interactive fixed effects," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 67(1), pages 131-165, August.
    24. Nakazawa, Katsuyoshi & Matsuoka, Hirokazu, 2016. "Change in Strategic Interaction after Introducing Policy," MPRA Paper 73512, University Library of Munich, Germany.
    25. Soyoung Park & Sungchan Kim, 2023. "Does fiscal decentralization affect local governments' strategic behaviours? Evidence from South Korea," Pacific Economic Review, Wiley Blackwell, vol. 28(1), pages 124-141, February.

  12. Wen Wang & Xinye Zheng & Zhirong Zhao, 2012. "Fiscal Reform and Public Education Spending: A Quasi-natural Experiment of Fiscal Decentralization in China," Publius: The Journal of Federalism, CSF Associates Inc., vol. 42(2), pages 334-356, April.

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    1. Junxue Jia & Siying Ding & Yongzheng Liu, 2018. "Decentralization, Incentives, and Tax Enforcement," International Center for Public Policy Working Paper Series, at AYSPS, GSU paper1819, International Center for Public Policy, Andrew Young School of Policy Studies, Georgia State University.
    2. Jin, Haizhen, 2023. "Effects of decentralization on firm performance: Evidence from Chinese county-level quasi-experiments," Economic Modelling, Elsevier, vol. 119(C).
    3. Zhong, Taiyang & Zhang, Xiaoling & Huang, Xianjin & Liu, Fang, 2019. "Blessing or curse? Impact of land finance on rural public infrastructure development," Land Use Policy, Elsevier, vol. 85(C), pages 130-141.
    4. Jia, Junxue & Ding, Siying & Liu, Yongzheng, 2020. "Decentralization, incentives, and local tax enforcement," Journal of Urban Economics, Elsevier, vol. 115(C).
    5. Liu, Yongzheng & Alm, James, 2016. "“Province-Managing-County” fiscal reform, land expansion, and urban growth in China," Journal of Housing Economics, Elsevier, vol. 33(C), pages 82-100.
    6. Leonardo Letelier S & Hector Ormeño C, 2018. "Education and fiscal decentralization. The case of municipal education in Chile," Environment and Planning C, , vol. 36(8), pages 1499-1521, December.
    7. James Alm & Yongzheng Liu, 2014. "China's Tax-for-Fee Reform and Village Inequality," Oxford Development Studies, Taylor & Francis Journals, vol. 42(1), pages 38-64, March.
    8. Yongzheng Liu & Jorge Martinez-Vazquez & Baoyun Qiao, 2014. "Falling Short: Intergovernmental Transfers in China," International Center for Public Policy Working Paper Series, at AYSPS, GSU paper1423, International Center for Public Policy, Andrew Young School of Policy Studies, Georgia State University.
    9. Tapan Sarker, 2013. "Taxing for the future: an intergenerational perspective," Chapters, in: Moazzem Hossain & Tapan Sarker & Malcolm McIntosh (ed.), The Asian Century, Sustainable Growth and Climate Change, chapter 4, pages 85-110, Edward Elgar Publishing.
    10. Alfred M Wu, 2019. "The logic of basic education provision and public goods preferences in Chinese fiscal federalism," PLOS ONE, Public Library of Science, vol. 14(12), pages 1-15, December.
    11. Yi Long & Chris Nyland & Russell Smyth, 2016. "Fiscal Decentralisation, the Knowledge Economy and School Teachers’ Wages in Urban China," Monash Economics Working Papers 13-16, Monash University, Department of Economics.
    12. Wang, Zhiguo & Ma, Liang, 2012. "New Development of Fiscal Decentralization in China," MPRA Paper 36918, University Library of Munich, Germany.
    13. Zhiguo Wang & Liang Ma, 2014. "Fiscal Decentralization in China: A Literature Review," Annals of Economics and Finance, Society for AEF, vol. 15(1), pages 51-65, May.
    14. Jian Huang & Longjin Chen & Jianjun Li & Wim Groot, 2017. "Expenditure Decentralization and Citizen Satisfaction with Healthcare: Evidence from Urban China," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 133(1), pages 333-344, August.
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    16. Jiang, Weijie & Li, Yidong, 2023. "Effect of fiscal decentralization on pollution reduction: Firm-level evidence from China," Economic Modelling, Elsevier, vol. 129(C).

  13. Song, Feng & Zheng, Xinye, 2012. "What drives the change in China's energy intensity: Combining decomposition analysis and econometric analysis at the provincial level," Energy Policy, Elsevier, vol. 51(C), pages 445-453.

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    1. Huang, Junbing & Hao, Yu & Lei, Hongyan, 2018. "Indigenous versus foreign innovation and energy intensity in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P2), pages 1721-1729.
    2. 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).
    3. Atalla, Tarek & Bean, Patrick, 2017. "Determinants of energy productivity in 39 countries: An empirical investigation," Energy Economics, Elsevier, vol. 62(C), pages 217-229.
    4. 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.
    5. Li, Ke & Lin, Boqiang, 2016. "Impact of energy technology patents in China: Evidence from a panel cointegration and error correction model," Energy Policy, Elsevier, vol. 89(C), pages 214-223.
    6. Zhou, Zhongbing & Qin, Quande & Wei, Yi-Ming, 2020. "Government intervention in energy conservation: Justification and warning," Energy Economics, Elsevier, vol. 90(C).
    7. Yang, Guangfei & Li, Wenli & Wang, Jianliang & Zhang, Dongqing, 2016. "A comparative study on the influential factors of China's provincial energy intensity," Energy Policy, Elsevier, vol. 88(C), pages 74-85.
    8. Luan, Bingjiang & Zou, Hong & Chen, Shuxing & Huang, Junbing, 2021. "The effect of industrial structure adjustment on China’s energy intensity: Evidence from linear and nonlinear analysis," Energy, Elsevier, vol. 218(C).
    9. Goh, Tian & Ang, B.W., 2020. "Four reasons why there is so much confusion about energy efficiency," Energy Policy, Elsevier, vol. 146(C).
    10. Adom, Philip Kofi, 2015. "Business cycle and economic-wide energy intensity: The implications for energy conservation policy in Algeria," Energy, Elsevier, vol. 88(C), pages 334-350.
    11. Dong, Kangyin & Sun, Renjin & Hochman, Gal & Li, Hui, 2018. "Energy intensity and energy conservation potential in China: A regional comparison perspective," Energy, Elsevier, vol. 155(C), pages 782-795.
    12. 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.
    13. Saeed Moshiri and Nana Duah, 2016. "Changes in Energy Intensity in Canada," The Energy Journal, International Association for Energy Economics, vol. 0(Number 4).
    14. Dayong Zhang and David C. Broadstock, 2016. "Club Convergence in the Energy Intensity of China," The Energy Journal, International Association for Energy Economics, vol. 0(Number 3).
    15. Lin, Boqiang & Zhu, Junpeng, 2019. "Impact of energy saving and emission reduction policy on urban sustainable development: Empirical evidence from China," Applied Energy, Elsevier, vol. 239(C), pages 12-22.
    16. Huang, Junbing & Lai, Yali & Wang, Yajun & Hao, Yu, 2020. "Energy-saving research and development activities and energy intensity in China: A regional comparison perspective," Energy, Elsevier, vol. 213(C).
    17. Fang, Zheng & Chen, Yang, 2017. "Human capital and energy in economic growth – Evidence from Chinese provincial data," Energy Economics, Elsevier, vol. 68(C), pages 340-358.
    18. Lei Jiang & Henk Folmer & Minhe Ji & Jianjun Tang, 2017. "Energy efficiency in the Chinese provinces: a fixed effects stochastic frontier spatial Durbin error panel analysis," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 58(2), pages 301-319, March.
    19. 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.
    20. Peng Hou & Yilin Li & Yong Tan & Yuanjie Hou, 2020. "Energy Price and Energy Efficiency in China: A Linear and Nonlinear Empirical Investigation," Energies, MDPI, vol. 13(16), pages 1-24, August.
    21. Yan, Zheming & Ouyang, Xiaoling & Du, Kerui, 2019. "Economy-wide estimates of energy rebound effect: Evidence from China's provinces," Energy Economics, Elsevier, vol. 83(C), pages 389-401.
    22. Ma, Chunbo, 2014. "A multi-fuel, multi-sector and multi-region approach to index decomposition: An application to China's energy consumption 1995–2010," Energy Economics, Elsevier, vol. 42(C), pages 9-16.
    23. 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.
    24. Akbar Ullah & Karim Khan & Munazza Akhtar, 2014. "Energy Intensity: A Decomposition Exercise for Pakistan," The Pakistan Development Review, Pakistan Institute of Development Economics, vol. 53(4), pages 531-549.
    25. 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.
    26. Wu, Jianxin & Wu, Yanrui & Se Cheong, Tsun & Yu, Yanni, 2018. "Distribution dynamics of energy intensity in Chinese cities," Applied Energy, Elsevier, vol. 211(C), pages 875-889.
    27. Gregori, Tullio & Tiwari, Aviral Kumar, 2020. "Do urbanization, income, and trade affect electricity consumption across Chinese provinces?," Energy Economics, Elsevier, vol. 89(C).
    28. Ma, Ben, 2015. "Does urbanization affect energy intensities across provinces in China?Long-run elasticities estimation using dynamic panels with heterogeneous slopes," Energy Economics, Elsevier, vol. 49(C), pages 390-401.
    29. Lin, Boqiang & Zhu, Junpeng, 2021. "Impact of China's new-type urbanization on energy intensity: A city-level analysis," Energy Economics, Elsevier, vol. 99(C).
    30. He, Xiaoping & Yu, Yuxuan & Jiang, Shuo, 2023. "City centrality, population density and energy efficiency," Energy Economics, Elsevier, vol. 117(C).
    31. Zhao, Xingrong & Zhang, Xi & Shao, Shuai, 2016. "Decoupling CO2 emissions and industrial growth in China over 1993–2013: The role of investment," Energy Economics, Elsevier, vol. 60(C), pages 275-292.
    32. Zha, Jianping & Tan, Ting & Fan, Rong & Xu, Han & Ma, Siqi, 2020. "How to reduce energy intensity to achieve sustainable development of China's transport sector? A cross-regional comparison analysis," Socio-Economic Planning Sciences, Elsevier, vol. 71(C).
    33. 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).
    34. Robert J R Elliott & Puyang Sun & Tong Zhu, 2014. "Urbanization and Energy Intensity: A Province-level Study for China," Discussion Papers 14-05, Department of Economics, University of Birmingham.
    35. Setyawan, Dhani, 2020. "Decomposing the Influencing Factors of Energy Intensity in the Passenger Transportation Sector in Indonesia," MPRA Paper 106114, University Library of Munich, Germany.
    36. Yulan Lv & Wei Chen & Jianquan Cheng, 2019. "Direct and Indirect Effects of Urbanization on Energy Intensity in Chinese Cities: A Regional Heterogeneity Analysis," Sustainability, MDPI, vol. 11(11), pages 1-20, June.
    37. Massimo Filippini & Lin Zhang, 2013. "Measurement of the “Underlying energy efficiency” in Chinese provinces," CER-ETH Economics working paper series 13/183, CER-ETH - Center of Economic Research (CER-ETH) at ETH Zurich.
    38. Wu, Shu & Ding, Song, 2021. "Efficiency improvement, structural change, and energy intensity reduction: Evidence from Chinese agricultural sector," Energy Economics, Elsevier, vol. 99(C).
    39. Lv, Yulan & Chen, Wei & Cheng, Jianquan, 2020. "Effects of urbanization on energy efficiency in China: New evidence from short run and long run efficiency models," Energy Policy, Elsevier, vol. 147(C).
    40. 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.
    41. Jiang, Lei & Folmer, Henk & Ji, Minhe & Zhou, P., 2018. "Revisiting cross-province energy intensity convergence in China: A spatial panel analysis," Energy Policy, Elsevier, vol. 121(C), pages 252-263.
    42. Lin, Boqiang & Zhu, Runqing, 2022. "How does market-oriented reform influence the rebound effect of China’s mining industry?," Economic Analysis and Policy, Elsevier, vol. 74(C), pages 34-44.
    43. Lei Jiang & Minhe Ji, 2016. "China’s Energy Intensity, Determinants and Spatial Effects," Sustainability, MDPI, vol. 8(6), pages 1-15, June.
    44. Gorus, Muhammed Sehid & Karagol, Erdal Tanas, 2022. "Reactions of energy intensity, energy efficiency, and activity indexes to income and energy price changes: The panel data evidence from OECD countries," Energy, Elsevier, vol. 254(PA).
    45. Lin, Boqiang & Du, Kerui, 2014. "Decomposing energy intensity change: A combination of index decomposition analysis and production-theoretical decomposition analysis," Applied Energy, Elsevier, vol. 129(C), pages 158-165.
    46. Adom, Philip Kofi & Amuakwa-Mensah, Franklin, 2016. "What drives the energy saving role of FDI and industrialization in East Africa?," Renewable and Sustainable Energy Reviews, Elsevier, vol. 65(C), pages 925-942.
    47. Yan, Huijie, 2015. "Provincial energy intensity in China: The role of urbanization," Energy Policy, Elsevier, vol. 86(C), pages 635-650.
    48. 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.
    49. Vaclovas Miskinis & Arvydas Galinis & Viktorija Bobinaite & Inga Konstantinaviciute & Eimantas Neniskis, 2023. "Impact of Key Drivers on Energy Intensity and GHG Emissions in Manufacturing in the Baltic States," Sustainability, MDPI, vol. 15(4), pages 1-25, February.
    50. Hayyan BOUBOU, 2021. "A Review Of Global Co2 Emissions And Total Energy Consumption," SEA - Practical Application of Science, Romanian Foundation for Business Intelligence, Editorial Department, issue 26, pages 135-142, September.
    51. Huang, Junbing & Chen, Xiang, 2020. "Domestic R&D activities, technology absorption ability, and energy intensity in China," Energy Policy, Elsevier, vol. 138(C).
    52. Huang, Junbing & Du, Dan & Tao, Qizhi, 2017. "An analysis of technological factors and energy intensity in China," Energy Policy, Elsevier, vol. 109(C), pages 1-9.
    53. Mirza, Faisal Mehmood & Sinha, Avik & Khan, Javeria Rehman & Kalugina, Olga A. & Zafar, Muhammad Wasif, 2022. "Impact of Energy Efficiency on CO2 Emissions: Empirical Evidence from Developing Countries," MPRA Paper 111923, University Library of Munich, Germany, revised 2022.
    54. Hua Liao & Ce Wang & Zhi-Shuang Zhu & Xiao-Wei Ma, 2012. "Structural decomposition analysis on energy intensity changes at regional level," CEEP-BIT Working Papers 40, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
    55. 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.
    56. Adom, Philip Kofi, 2015. "Asymmetric impacts of the determinants of energy intensity in Nigeria," Energy Economics, Elsevier, vol. 49(C), pages 570-580.
    57. Chen, Jiandong & Cheng, Shulei & Song, Malin & Wang, Jia, 2016. "Interregional differences of coal carbon dioxide emissions in China," Energy Policy, Elsevier, vol. 96(C), pages 1-13.
    58. Huang, Junbing & Lai, Yali & Hu, Hanlei, 2020. "The effect of technological factors and structural change on China's energy intensity: Evidence from dynamic panel models," China Economic Review, Elsevier, vol. 64(C).
    59. Gao, Xin & Ye, Yunxia & Su, Wenxin & Chen, Linyan, 2023. "Assessing the comprehensive importance of power grid nodes based on DEA," International Journal of Critical Infrastructure Protection, Elsevier, vol. 42(C).
    60. Chen, Joyce J. & Pitt, Mark M., 2017. "Sources of change in the demand for energy by Indonesian households: 1980–2002," Energy Economics, Elsevier, vol. 61(C), pages 147-161.
    61. Jiang, Lei & Folmer, Henk & Ji, Minhe, 2014. "The drivers of energy intensity in China: A spatial panel data approach," China Economic Review, Elsevier, vol. 31(C), pages 351-360.
    62. Yanli Ji & Jie Xue & Zitian Fu, 2022. "Sustainable Development of Economic Growth, Energy-Intensive Industries and Energy Consumption: Empirical Evidence from China’s Provinces," Sustainability, MDPI, vol. 14(12), pages 1-20, June.
    63. Yue, Ting & Long, Ruyin & Chen, Hong & Zhao, Xin, 2013. "The optimal CO2 emissions reduction path in Jiangsu province: An expanded IPAT approach," Applied Energy, Elsevier, vol. 112(C), pages 1510-1517.
    64. 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.
    65. 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.
    66. Fu, Tong & Yang, Siying & Jian, Ze, 2022. "Government support for environmental regulation: Evidence from China," International Review of Financial Analysis, Elsevier, vol. 83(C).
    67. 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.
    68. Bashir, Muhammad Farhan & MA, Benjiang & Shahbaz, Muhammad & Shahzad, Umer & Vo, Xuan Vinh, 2021. "Unveiling the heterogeneous impacts of environmental taxes on energy consumption and energy intensity: Empirical evidence from OECD countries," Energy, Elsevier, vol. 226(C).
    69. Jiang, Xuemei & Duan, Yuwan & Green, Christopher, 2017. "Regional disparity in energy intensity of China and the role of industrial and export structure," Resources, Conservation & Recycling, Elsevier, vol. 120(C), pages 209-218.
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  14. Huihui Deng & Xinye Zheng & Nan Huang & Fanghua Li, 2012. "Strategic Interaction in Spending on Environmental Protection: Spatial Evidence from Chinese Cities," China & World Economy, Institute of World Economics and Politics, Chinese Academy of Social Sciences, vol. 20(5), pages 103-120, September.

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    2. Xueping Wu & Ming Gao, 2021. "Effects of different environmental regulations and their heterogeneity on air pollution control in China," Journal of Regulatory Economics, Springer, vol. 60(2), pages 140-166, December.
    3. Kalamov, Zarko & Staal, Klaas, 2023. "Too-big-to-fail in federations?," Regional Science and Urban Economics, Elsevier, vol. 101(C).
    4. Kou, Po & Han, Ying & Qi, Xiaoyuan, 2022. "The operational mechanism and effectiveness of China's central environmental protection inspection: Evidence from air pollution," Socio-Economic Planning Sciences, Elsevier, vol. 81(C).
    5. Zifang Ding & Xiang Gao & Xuesong Qian & Huanhuan Wang, 2022. "Governmental inspection and local legislation on environmental protection: Evidence from China," Journal of Economic Surveys, Wiley Blackwell, vol. 36(3), pages 728-763, July.
    6. Haoran Ge & Changbiao Zhong & Hanwen Zhang & Dameng Hu, 2022. "The Effect of Environmental Regulation on Marine Economic Transformation under the Decentralized System: Evidence from Coastal Provinces in China," Sustainability, MDPI, vol. 14(24), pages 1-24, December.
    7. Stefan Brehm & Jesper Svensson, 2017. "A fragmented environmental state? Analysing spatial compliance patterns for the case of transparency legislation in China," Asia-Pacific Journal of Regional Science, Springer, vol. 1(2), pages 471-493, October.
    8. Jiafeng Gu, 2021. "Spatial Dynamics between Firm Sales and Environmental Responsibility: The Mediating Role of Corporate Innovation," Sustainability, MDPI, vol. 13(4), pages 1-18, February.
    9. Dũng Tuấn Nguyễn & Takeshi Miyazaki, 2023. "Strategic interaction among Japanese municipalities regarding public servant salary levels," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 71(2), pages 463-485, October.
    10. Le Gallo, Julie & Ndiaye, Youba, 2021. "Environmental expenditure interactions among OECD countries, 1995–2017," Economic Modelling, Elsevier, vol. 94(C), pages 244-255.
    11. Bo-yang Gao & Zhi-ji Huang & Ting-ting Zhang & Xiao-yu Sun & Ming-yue Song, 2022. "Exploring the Impact of Industrial Land Price Distortion on Carbon Emission Intensity: Evidence from China," Land, MDPI, vol. 12(1), pages 1-20, December.
    12. Xueping Wu & Ming Gao & Shihong Guo & Wei Li, 2019. "Effects of environmental regulation on air pollution control in China: a spatial Durbin econometric analysis," Journal of Regulatory Economics, Springer, vol. 55(3), pages 307-333, June.
    13. Kou, Po & Shi, Jianhua, 2024. "Dynamic evolution of China's government environmental regulation capability and its impact on the coupling coordinated development of the economy-environment," Socio-Economic Planning Sciences, Elsevier, vol. 91(C).
    14. Siqi Zheng & Cong Sun & Ye Qi & Matthew E. Kahn, 2013. "The Evolving Geography of China's Industrial Production: Implications for Pollution Dynamics and Urban Quality of Life," NBER Working Papers 19624, National Bureau of Economic Research, Inc.
    15. Yanli Wang & Na Zhao & Xiaodong Lei & Ruyin Long, 2021. "Green Finance Innovation and Regional Green Development," Sustainability, MDPI, vol. 13(15), pages 1-19, July.
    16. Feng, Suling & Zhang, Rong & Li, Guoxiang, 2022. "Environmental decentralization, digital finance and green technology innovation," Structural Change and Economic Dynamics, Elsevier, vol. 61(C), pages 70-83.
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    18. Fernando A. López & Pedro J. Martínez-Ortiz & Juan-Gabriel Cegarra-Navarro, 2017. "Spatial spillovers in public expenditure on a municipal level in Spain," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 58(1), pages 39-65, January.
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    21. Guanghui Tian & Jianming Miao & Changhong Miao & Yehua Dennis Wei & Dongyang Yang, 2022. "Interplay of Environmental Regulation and Local Protectionism in China," IJERPH, MDPI, vol. 19(10), pages 1-21, May.
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    23. Kunming Li & Jianhua Wen & Tingjun Jiang & Xiamin Fan & Linxing Huang, 2024. "How tax competition affects China’s environmental pollution?: A spatial econometric analysis," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 26(7), pages 18535-18557, July.

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