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ching-ren Chiu

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.

Articles

  1. Qunwei Wang & Ye Hang & Jin‐Li Hu & Ching‐Ren Chiu, 2018. "An alternative metafrontier framework for measuring the heterogeneity of technology," Naval Research Logistics (NRL), John Wiley & Sons, vol. 65(5), pages 427-445, August.

    Cited by:

    1. Xingyu Dai & Dongna Zhang & Chi Keung Marco Lau & Qunwei Wang, 2023. "Multiobjective portfolio optimization: Forecasting and evaluation under investment horizon heterogeneity," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(8), pages 2167-2196, December.
    2. Yu, Ming-Miin & See, Kok Fong & Hsiao, Bo, 2022. "Integrating group frontier and metafrontier directional distance functions to evaluate the efficiency of production units," European Journal of Operational Research, Elsevier, vol. 301(1), pages 254-276.
    3. 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).
    4. Peng, Jiachao & Xiao, Jianzhong & Zhang, Lian & Wang, Teng, 2020. "The impact of China's ‘Atmosphere Ten Articles’ policy on total factor productivity of energy exploitation: Empirical evidence using synthetic control methods," Resources Policy, Elsevier, vol. 65(C).
    5. David Fang & Ming‐Ching Hsueh & Ching‐Ren Chiu, 2020. "An investigation of international hotel productivity considering quasifixed inputs and negative outputs," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 41(3), pages 380-388, April.
    6. Yu, Ming-Miin & Rakshit, Ipsita, 2024. "How to establish input and output targets for airlines with heterogeneous production technologies: A nash bargaining DEA approach within the meta-frontier framework," Journal of Air Transport Management, Elsevier, vol. 116(C).
    7. Qian Wang & Jinbao Yang & Yung‐ho Chiu & Tai‐Yu Lin, 2023. "Cross‐regional comparative study on digital finance and finance efficiency in China: The eastern and non‐eastern areas," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 44(1), pages 68-83, January.
    8. Zha, Donglan & Yang, Guanglei & Wang, Qunwei, 2019. "Investigating the driving factors of regional CO2 emissions in China using the IDA-PDA-MMI method," Energy Economics, Elsevier, vol. 84(C).
    9. Chao Wang & Yue‐Jun Zhang, 2020. "Does environmental regulation policy help improve green production performance? Evidence from China's industry," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 27(2), pages 937-951, March.
    10. 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).
    11. Xingle Long & Chuanwang Sun & Chao Wu & Bin Chen & Kofi Agyenim Boateng, 2020. "Green innovation efficiency across China’s 30 provinces: estimate, comparison, and convergence," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 25(7), pages 1243-1260, October.
    12. Yusi Cheng & Xuejie Bai & Yung‐Ho Chiu, 2023. "Performance evaluation for health‐care sectors using a dynamic network data envelopment analysis approach," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 44(4), pages 2237-2253, June.
    13. 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).
    14. Ching-Ren Chiu & Ming-Chung Chang & Jin-Li Hu, 2022. "Energy intensity improvement and energy productivity changes: an analysis of BRICS and G7 countries," Journal of Productivity Analysis, Springer, vol. 57(3), pages 297-311, June.
    15. Yu, Ming-Miin & Rakshit, Ipsita, 2023. "Assessing the dynamic efficiency and technology gap of airports under different ownerships: A union dynamic NDEA approach," Omega, Elsevier, vol. 119(C).
    16. Arora, Nitin & Talwar, Shubhendra Jit, 2020. "Modelling efficiency in budget allocations for Indian states using window based non-radial non-concave metafrontier data envelopment analysis," Socio-Economic Planning Sciences, Elsevier, vol. 70(C).
    17. Ding, Tao & Yang, Jie & Wu, Huaqing & Liang, Liang, 2022. "Land use efficiency and technology gaps of urban agglomerations in China: An extended non-radial meta-frontier approach," Socio-Economic Planning Sciences, Elsevier, vol. 79(C).

  2. 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.

    Cited by:

    1. Li, Xiang & Cheng, Zhonghua, 2022. "Does high-speed rail improve urban carbon emission efficiency in China?," Socio-Economic Planning Sciences, Elsevier, vol. 84(C).
    2. 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.
    3. Yu, Ming-Miin & See, Kok Fong & Hsiao, Bo, 2022. "Integrating group frontier and metafrontier directional distance functions to evaluate the efficiency of production units," European Journal of Operational Research, Elsevier, vol. 301(1), pages 254-276.
    4. Feng, Xinhui & Lin, Xinle & Li, Yan & Yang, Jiayu & Yu, Er & Lei, Kaige, 2024. "Spatial association network of carbon emission performance: Formation mechanism and structural characteristics," Socio-Economic Planning Sciences, Elsevier, vol. 91(C).
    5. Xian’En Wang & Shimeng Wang & Xipan Wang & Wenbo Li & Junnian Song & Haiyan Duan & Shuo Wang, 2019. "The Assessment of Carbon Performance under the Region-Sector Perspective based on the Nonparametric Estimation: A Case Study of the Northern Province in China," Sustainability, MDPI, vol. 11(21), pages 1-23, October.
    6. She, Zhen-Yu & Meng, Gang & Xie, Bai-Chen & O'Neill, Eoghan, 2020. "The effectiveness of the unbundling reform in China’s power system from a dynamic efficiency perspective," Applied Energy, Elsevier, vol. 264(C).
    7. Lin, Boqiang & Sai, Rockson, 2021. "A multi factor Malmquist CO2emission performance indices: Evidence from Sub Saharan African public thermal power plants," Energy, Elsevier, vol. 223(C).
    8. Zeng, Chen & Stringer, Lindsay C. & Lv, Tianyu, 2021. "The spatial spillover effect of fossil fuel energy trade on CO2 emissions," Energy, Elsevier, vol. 223(C).
    9. Cheng, Zhonghua & Jin, Wei, 2022. "Agglomeration economy and the growth of green total-factor productivity in Chinese Industry," Socio-Economic Planning Sciences, Elsevier, vol. 83(C).
    10. Cheng, Zhonghua & Li, Xiang & Wang, Meixiao, 2021. "Resource curse and green economic growth," Resources Policy, Elsevier, vol. 74(C).
    11. Cheng, Zhonghua & Liu, Jun & Li, Lianshui & Gu, Xinbei, 2020. "Research on meta-frontier total-factor energy efficiency and its spatial convergence in Chinese provinces," Energy Economics, Elsevier, vol. 86(C).
    12. Molinos-Senante, María & Sala-Garrido, Ramón, 2018. "Evaluation of energy performance of drinking water treatment plants: Use of energy intensity and energy efficiency metrics," Applied Energy, Elsevier, vol. 229(C), pages 1095-1102.
    13. Lin, Boqiang & Sai, Rockson, 2022. "Has mining agglomeration affected energy productivity in Africa?," Energy, Elsevier, vol. 244(PA).
    14. Xiao-Ning Li & Ying Feng & Pei-Ying Wu & Yung-Ho Chiu, 2021. "An Analysis of Environmental Efficiency and Environmental Pollution Treatment Efficiency in China’s Industrial Sector," Sustainability, MDPI, vol. 13(5), pages 1-25, February.
    15. 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.

  3. Chiu, Ching-Ren & Chiu, Yung-Ho & Chen, Yu-Chuan & Fang, Chen-Ling, 2016. "Exploring the source of metafrontier inefficiency for various bank types in the two-stage network system with undesirable output," Pacific-Basin Finance Journal, Elsevier, vol. 36(C), pages 1-13.

    Cited by:

    1. 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.
    2. Colesnic, Olga & Kounetas, Konstantinos & Michael, Polemis, 2020. "Estimating risk efficiency in Middle East banks before and after the crisis: A metafrontier framework," Global Finance Journal, Elsevier, vol. 46(C).
    3. Yung‐ho Chiu & Tai‐Yu Lin & Tzu‐Han Chang & Yi‐Nuo Lin & Shih‐Yung Chiu, 2021. "Prevaluating efficiency gains from potential mergers and acquisitions in the financial industry with the Resample Past–Present–Future data envelopment analysis approach," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 42(2), pages 369-384, March.
    4. Ying Li & Yung-ho Chiu & Tai-Yu Lin & Yun Yuan Huang, 2019. "Market share and performance in Taiwanese banks: min/max SBM DEA," TOP: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 27(2), pages 233-252, July.
    5. Bo Hsiao & Li-Hsueh Chen, 2019. "Performance Evaluation for Taiwanese Hospitals by Multi-Activity Network Data Envelopment Analysis," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 18(03), pages 1009-1043, May.
    6. 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.
    7. Wang, Qunwei & Hang, Ye & Sun, Licheng & Zhao, Zengyao, 2016. "Two-stage innovation efficiency of new energy enterprises in China: A non-radial DEA approach," Technological Forecasting and Social Change, Elsevier, vol. 112(C), pages 254-261.
    8. Le, Phuong Thanh & Harvie, Charles & Arjomandi, Amir & Borthwick, James, 2019. "Financial liberalisation, bank ownership type and performance in a transition economy: The case of Vietnam," Pacific-Basin Finance Journal, Elsevier, vol. 57(C).
    9. Zhujia Yin & Yantuan Yu & Jianhuan Huang, 2018. "Evaluation and evolution of bank efficiency considering heterogeneity technology: An empirical study from China," PLOS ONE, Public Library of Science, vol. 13(10), pages 1-19, October.
    10. Chuang-Min Chao & Ming-Miin Yu & Nan-Hsing Hsiung & Li-Hsueh Chen, 2018. "Profitability efficiency, marketability efficiency and technology gaps in Taiwan’s banking industry: meta-frontier network data envelopment analysis," Applied Economics, Taylor & Francis Journals, vol. 50(3), pages 233-250, January.
    11. Ather Hassan Dar & Somesh Kumar Mathur & Sila Mishra, 2021. "The Efficiency of Indian Banks: A DEA, Malmquist and SFA Analysis with Bad Output," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 19(4), pages 653-701, December.
    12. Mohammad Nourani & Qian Long Kweh & Wen-Min Lu & Ikhlaas Gurrib, 2022. "Operational and investment efficiency of investment trust companies: Do foreign firms outperform domestic firms?," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 8(1), pages 1-26, December.
    13. Chen, Xiang & Wang, Yujia & Wu, Xin, 2022. "Exploring the source of the financial performance in Chinese banks: A risk-adjusted decomposition approach," International Review of Financial Analysis, Elsevier, vol. 80(C).

  4. Wang, Qunwei & Su, Bin & Zhou, Peng & Chiu, Ching-Ren, 2016. "Measuring total-factor CO2 emission performance and technology gaps using a non-radial directional distance function: A modified approach," Energy Economics, Elsevier, vol. 56(C), pages 475-482.

    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. Hao Zhang & Jianxin You & Xuekelaiti Haiyirete & Tianyu Zhang, 2020. "Measuring Logistics Efficiency in China Considering Technology Heterogeneity and Carbon Emission through a Meta-Frontier Model," Sustainability, MDPI, vol. 12(19), pages 1-18, October.
    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. Yu, Ming-Miin & See, Kok Fong & Hsiao, Bo, 2022. "Integrating group frontier and metafrontier directional distance functions to evaluate the efficiency of production units," European Journal of Operational Research, Elsevier, vol. 301(1), pages 254-276.
    5. 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.
    6. 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.
    7. 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.
    8. Chen, Weidong & Geng, Wenxin, 2017. "Fossil energy saving and CO2 emissions reduction performance, and dynamic change in performance considering renewable energy input," Energy, Elsevier, vol. 120(C), pages 283-292.
    9. 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.
    10. Xiao, Huijuan & Wang, Daoping & Qi, Yu & Shao, Shuai & Zhou, Ya & Shan, Yuli, 2021. "The governance-production nexus of eco-efficiency in Chinese resource-based cities: A two-stage network DEA approach," Energy Economics, Elsevier, vol. 101(C).
    11. 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).
    12. Zhonghua Cheng & Xiai Shi, 2018. "Can Industrial Structural Adjustment Improve the Total-Factor Carbon Emission Performance in China?," IJERPH, MDPI, vol. 15(10), pages 1-20, October.
    13. 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.
    14. Yu, Ming-Miin & Rakshit, Ipsita, 2024. "How to establish input and output targets for airlines with heterogeneous production technologies: A nash bargaining DEA approach within the meta-frontier framework," Journal of Air Transport Management, Elsevier, vol. 116(C).
    15. Zhang, Cheng & Wang, Qunwei & Shi, Dan & Li, Pengfei & Cai, Wanhuan, 2016. "Scenario-based potential effects of carbon trading in China: An integrated approach," Applied Energy, Elsevier, vol. 182(C), pages 177-190.
    16. Xian’En Wang & Shimeng Wang & Xipan Wang & Wenbo Li & Junnian Song & Haiyan Duan & Shuo Wang, 2019. "The Assessment of Carbon Performance under the Region-Sector Perspective based on the Nonparametric Estimation: A Case Study of the Northern Province in China," Sustainability, MDPI, vol. 11(21), pages 1-23, October.
    17. Qian Wang & Jinbao Yang & Yung‐ho Chiu & Tai‐Yu Lin, 2023. "Cross‐regional comparative study on digital finance and finance efficiency in China: The eastern and non‐eastern areas," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 44(1), pages 68-83, January.
    18. Wanke, Peter & Chen, Zhongfei & Dong, Qichen & Antunes, Jorge, 2021. "Transportation Sustainability, Macroeconomics, and Endogeneity in China: A Hybrid Neural-Markowitz-Variable Reduction Approach," Technological Forecasting and Social Change, Elsevier, vol. 170(C).
    19. 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.
    20. Lin, Ruiyue & Peng, Yudan, 2024. "A new cross-efficiency meta-frontier analysis method with good ability to identify technology gaps," European Journal of Operational Research, Elsevier, vol. 314(2), pages 735-746.
    21. 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.
    22. 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.
    23. Peirong Chen & Ruhe Xie & Mingxuan Lu, 2020. "“Resource Conservation” or “Environmental Friendliness”: How do Urban Clusters Affect Total-Factor Ecological Performance in China?," IJERPH, MDPI, vol. 17(12), pages 1-28, June.
    24. Tan, Xiujie & Choi, Yongrok & Wang, Banban & Huang, Xiaoqi, 2020. "Does China's carbon regulatory policy improve total factor carbon efficiency? A fixed-effect panel stochastic frontier analysis," Technological Forecasting and Social Change, Elsevier, vol. 160(C).
    25. Zhonghua Cheng & Wenwen Li, 2018. "Independent R and D, Technology Introduction, and Green Growth in China’s Manufacturing," Sustainability, MDPI, vol. 10(2), pages 1-14, January.
    26. Jiali Zheng & Han Qiao & Shouyang Wang, 2017. "The Effect of Carbon Tax in Aviation Industry on the Multilateral Simulation Game," Sustainability, MDPI, vol. 9(7), pages 1-24, July.
    27. Shogo Eguchi, 2022. "CO 2 Reduction Potential from Efficiency Improvements in China’s Coal-Fired Thermal Power Generation: A Combined Approach of Metafrontier DEA and LMDI," Energies, MDPI, vol. 15(7), pages 1-19, March.
    28. 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.
    29. Ya Chen & Wei Xu & Qian Zhou & Zhixiang Zhou, 2020. "Total Factor Energy Efficiency, Carbon Emission Efficiency, and Technology Gap: Evidence from Sub-Industries of Anhui Province in China," Sustainability, MDPI, vol. 12(4), pages 1-21, February.
    30. Xia, Fan & Xu, Jintao, 2020. "Green total factor productivity: A re-examination of quality of growth for provinces in China," China Economic Review, Elsevier, vol. 62(C).
    31. Jinkai Li & Jingjing Ma & Wei Wei, 2020. "Analysis and Evaluation of the Regional Characteristics of Carbon Emission Efficiency for China," Sustainability, MDPI, vol. 12(8), pages 1-22, April.
    32. Lin, Boqiang & Zhu, Junpeng, 2019. "Fiscal spending and green economic growth: Evidence from China," Energy Economics, Elsevier, vol. 83(C), pages 264-271.
    33. Zhencheng Xing & Jigan Wang & Jie Zhang, 2017. "CO 2 Emission Performance, Mitigation Potential, and Marginal Abatement Cost of Industries Covered in China’s Nationwide Emission Trading Scheme: A Meta-Frontier Analysis," Sustainability, MDPI, vol. 9(6), pages 1-17, June.
    34. Qunwei Wang & Ye Hang & Jin‐Li Hu & Ching‐Ren Chiu, 2018. "An alternative metafrontier framework for measuring the heterogeneity of technology," Naval Research Logistics (NRL), John Wiley & Sons, vol. 65(5), pages 427-445, August.
    35. Ching-Ren Chiu & Ming-Chung Chang & Jin-Li Hu, 2022. "Energy intensity improvement and energy productivity changes: an analysis of BRICS and G7 countries," Journal of Productivity Analysis, Springer, vol. 57(3), pages 297-311, June.
    36. Cheng, Zhonghua & Liu, Jun & Li, Lianshui & Gu, Xinbei, 2020. "Research on meta-frontier total-factor energy efficiency and its spatial convergence in Chinese provinces," Energy Economics, Elsevier, vol. 86(C).
    37. Du, Minzhe & Liu, Yunxiao & Wang, Bing & Lee, Myunghun & Zhang, Ning, 2021. "The sources of regulated productivity in Chinese power plants: An estimation of the restricted cost function combined with DEA approach," Energy Economics, Elsevier, vol. 100(C).
    38. Yu, Shasha & Yuan, Xuanyu & Yao, Xinyan & Lei, Ming, 2022. "Carbon leakage and low-carbon performance: Heterogeneity of responsibility perspectives," Energy Policy, Elsevier, vol. 165(C).
    39. Bahram Fathi & Malihe Ashena & Majid Anisi, 2023. "Efficiency evaluation of sustainability indicators in a two-stage network structure: a Nash bargaining game approach," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(2), pages 1832-1851, February.
    40. 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.
    41. 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).
    42. 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).
    43. Yang, Mian & Hou, Yaru & Ji, Qiang & Zhang, Dayong, 2020. "Assessment and optimization of provincial CO2 emission reduction scheme in China: An improved ZSG-DEA approach," Energy Economics, Elsevier, vol. 91(C).
    44. Wang, Yizhong & Hang, Ye & Wang, Qunwei, 2022. "Joint or separate? An economic-environmental comparison of energy-consuming and carbon emissions permits trading in China," Energy Economics, Elsevier, vol. 109(C).
    45. Yang, Yuxue & Yu, Huimin & Su, Xiang & Wang, Rong, 2023. "Exploring the role of green finance and natural resource policies in carbon emission efficiency of China's manufacturing industry in the context of post-COVID-19 period," Resources Policy, Elsevier, vol. 86(PA).
    46. Gang Tian & Jian Shi & Licheng Sun & Xingle Long & Benhai Guo, 2017. "Dynamic changes in the energy–carbon performance of Chinese transportation sector: a meta-frontier non-radial directional distance function 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. 89(2), pages 585-607, November.
    47. Ding, Tao & Yang, Jie & Wu, Huaqing & Liang, Liang, 2022. "Land use efficiency and technology gaps of urban agglomerations in China: An extended non-radial meta-frontier approach," Socio-Economic Planning Sciences, Elsevier, vol. 79(C).
    48. 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.
    49. Zhao, Linlin & Zha, Yong & Zhuang, Yuliang & Liang, Liang, 2019. "Data envelopment analysis for sustainability evaluation in China: Tackling the economic, environmental, and social dimensions," European Journal of Operational Research, Elsevier, vol. 275(3), pages 1083-1095.
    50. 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.

  5. Wang, Qunwei & Chiu, Yung-Ho & Chiu, Ching-Ren, 2015. "Driving factors behind carbon dioxide emissions in China: A modified production-theoretical decomposition analysis," Energy Economics, Elsevier, vol. 51(C), pages 252-260.

    Cited by:

    1. Ning Chang & Michael L. Lahr, 2016. "Changes in China’s production-source CO 2 emissions: insights from structural decomposition analysis and linkage analysis," Economic Systems Research, Taylor & Francis Journals, vol. 28(2), pages 224-242, June.
    2. 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.
    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. 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.
    5. Miao, Chenglin & Fang, Debin & Sun, Liyan & Luo, Qiaoling, 2017. "Natural resources utilization efficiency under the influence of green technological innovation," Resources, Conservation & Recycling, Elsevier, vol. 126(C), pages 153-161.
    6. Liobikienė, Genovaitė & Butkus, Mindaugas, 2019. "Scale, composition, and technique effects through which the economic growth, foreign direct investment, urbanization, and trade affect greenhouse gas emissions," Renewable Energy, Elsevier, vol. 132(C), pages 1310-1322.
    7. Li, Cunfang & Li, Danping & Zhang, Xiaoxu, 2019. "Why can China's coal resource-exhausted enterprises cross the district to transfer?," Resources Policy, Elsevier, vol. 60(C), pages 94-105.
    8. Fuyu Cai & Yuting Ding, 2023. "Hopf Bifurcation Analysis of a Class of Saperda populnea Infectious Disease Model with Delay," Mathematics, MDPI, vol. 11(20), pages 1-14, October.
    9. Du, Kerui & Li, Jianglong, 2019. "Towards a green world: How do green technology innovations affect total-factor carbon productivity," Energy Policy, Elsevier, vol. 131(C), pages 240-250.
    10. Xie, Xuan & Lin, Boqiang, 2019. "Understanding the energy intensity change in China's food industry: A comprehensive decomposition method," Energy Policy, Elsevier, vol. 129(C), pages 53-68.
    11. Yan, Bin & Wang, Feng & Dong, Mingru & Ren, Jing & Liu, Juan & Shan, Jing, 2022. "How do financial spatial structure and economic agglomeration affect carbon emission intensity? Theory extension and evidence from China," Economic Modelling, Elsevier, vol. 108(C).
    12. Dayong Wu & Changwei Yuan & Hongchao Liu, 2018. "The decoupling states of CO2 emissions in the Chinese transport sector from 1994 to 2012: A perspective on fuel types," Energy & Environment, , vol. 29(4), pages 591-612, June.
    13. 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.
    14. Feng Dong & Yue Wang & Xiaojie Zhang, 2018. "Can Environmental Quality Improvement and Emission Reduction Targets Be Realized Simultaneously? Evidence from China and A Geographically and Temporally Weighted Regression Model," IJERPH, MDPI, vol. 15(11), pages 1-22, October.
    15. Prantik Bagchi & Santosh Kumar Sahu & Ajay Kumar & Kim Hua Tan, 2022. "Analysis of carbon productivity for firms in the manufacturing sector of India," Post-Print hal-03628401, HAL.
    16. Tan, Ruipeng & Lin, Boqiang, 2018. "What factors lead to the decline of energy intensity in China's energy intensive industries?," Energy Economics, Elsevier, vol. 71(C), pages 213-221.
    17. Zeng, Shihong & Jiang, Xue & Su, Bin & Nan, Xin, 2018. "China's SO2 shadow prices and environmental technical efficiency at the province level," International Review of Economics & Finance, Elsevier, vol. 57(C), pages 86-102.
    18. Lijie Gao & Xiaoqi Shang & Fengmei Yang & Longyu Shi, 2021. "A Dynamic Benchmark System for Per Capita Carbon Emissions in Low-Carbon Counties of China," Energies, MDPI, vol. 14(3), pages 1-16, January.
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    27. Yuliia Matiiuk & Mykolas Simas Poškus & Genovaitė Liobikienė, 2020. "The Implementation of Climate Change Policy in Post-Soviet Countries Achieving Long-Term Targets," Sustainability, MDPI, vol. 12(11), pages 1-24, June.
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    33. Changjun Jiang & Xiaoxuan Liu, 2022. "Does High-Speed Rail Operation Reduce Ecological Environment Pressure?—Empirical Evidence from China," Sustainability, MDPI, vol. 14(6), pages 1-16, March.
    34. Zhou, Xiaoyong & Zhou, Dequn & Wang, Qunwei & Su, Bin, 2019. "How information and communication technology drives carbon emissions: A sector-level analysis for China," Energy Economics, Elsevier, vol. 81(C), pages 380-392.
    35. Andreoni, Valeria, 2022. "Drivers of coal consumption changes: A decomposition analysis for Chinese regions," Energy, Elsevier, vol. 242(C).
    36. Feng Dong & Xinqi Gao & Jingyun Li & Yuanqing Zhang & Yajie Liu, 2018. "Drivers of China’s Industrial Carbon Emissions: Evidence from Joint PDA and LMDI Approaches," IJERPH, MDPI, vol. 15(12), pages 1-28, December.
    37. Yousaf Ali & Rosita Pretaroli & Muhammad Sabir & Claudio Socci & Francesca Severini, 2020. "Structural changes in carbon dioxide (CO2) emissions in the United Kingdom (UK): an emission multiplier product matrix (EMPM) approach," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 25(8), pages 1545-1564, December.
    38. Yuntong Liu & Yu Wei & Yi Liu & Wenjuan Li, 2020. "Forecasting Oil Price by Hierarchical Shrinkage in Dynamic Parameter Models," Discrete Dynamics in Nature and Society, Hindawi, vol. 2020, pages 1-12, December.
    39. 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.
    40. Gen Li & Shihong Zeng & Tengfei Li & Qiao Peng & Muhammad Irfan, 2023. "Analysing the Effect of Energy Intensity on Carbon Emission Reduction in Beijing," IJERPH, MDPI, vol. 20(2), pages 1-19, January.
    41. 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.
    42. 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.
    43. 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.
    44. Zhang, Yue-Jun & Liu, Zhao & Qin, Chang-Xiong & Tan, Tai-De, 2017. "The direct and indirect CO2 rebound effect for private cars in China," Energy Policy, Elsevier, vol. 100(C), pages 149-161.
    45. Xueping Tao & Ping Wang & Bangzhu Zhu, 2016. "Measuring the Interprovincial CO 2 Emissions Considering Electric Power Dispatching in China: From Production and Consumption Perspectives," Sustainability, MDPI, vol. 8(6), pages 1-12, May.
    46. Zhang, Cheng & Zhou, Xinxin & Zhou, Bo & Zhao, Ziwei, 2022. "Impacts of a mega sporting event on local carbon emissions: A case of the 2014 Nanjing Youth Olympics," China Economic Review, Elsevier, vol. 73(C).
    47. 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.
    48. Dequn Zhou & Xiao Liu & Peng Zhou & Qunwei Wang, 2017. "Decomposition Analysis of Aggregate Energy Consumption in China: An Exploration Using a New Generalized PDA Method," Sustainability, MDPI, vol. 9(5), pages 1-13, April.
    49. Yang, Hao-Chang & Feng, Gen-Fu & Zhao, Xin Xin & Chang, Chun-Ping, 2022. "The impacts of energy insecurity on green innovation: A multi-country study," Economic Analysis and Policy, Elsevier, vol. 74(C), pages 139-154.
    50. Huang, Fei & Zhou, Dequn & Wang, Qunwei & Hang, Ye, 2019. "Decomposition and attribution analysis of the transport sector’s carbon dioxide intensity change in China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 119(C), pages 343-358.
    51. Sueyoshi, Toshiyuki & Li, Aijun & Liu, Xiaohong, 2019. "Exploring sources of China's CO2 emission: Decomposition analysis under different technology changes," European Journal of Operational Research, Elsevier, vol. 279(3), pages 984-995.
    52. Shichun Xu & Yongmei Miao & Yiwen Li & Yifeng Zhou & Xiaoxue Ma & Zhengxia He & Bin Zhao & Shuxiao Wang, 2019. "What Factors Drive Air Pollutants in China? An Analysis from the Perspective of Regional Difference Using a Combined Method of Production Decomposition Analysis and Logarithmic Mean Divisia Index," Sustainability, MDPI, vol. 11(17), pages 1-19, August.
    53. Kerui Du & Boqiang Lin & Chunping Xie, 2017. "Exploring Change in China’s Carbon Intensity: A Decomposition Approach," Sustainability, MDPI, vol. 9(2), pages 1-14, February.
    54. Wu, Rong & Wang, Jieyu & Wang, Shaojian & Feng, Kuishuang, 2021. "The drivers of declining CO2 emissions trends in developed nations using an extended STIRPAT model: A historical and prospective analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 149(C).
    55. Dongxiao Niu & Gengqi Wu & Zhengsen Ji & Dongyu Wang & Yuying Li & Tian Gao, 2021. "Evaluation of Provincial Carbon Neutrality Capacity of China Based on Combined Weight and Improved TOPSIS Model," Sustainability, MDPI, vol. 13(5), pages 1-18, March.
    56. 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.
    57. 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.
    58. 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.
    59. 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.
    60. Yang, Mian & Hou, Yaru & Ji, Qiang & Zhang, Dayong, 2020. "Assessment and optimization of provincial CO2 emission reduction scheme in China: An improved ZSG-DEA approach," Energy Economics, Elsevier, vol. 91(C).
    61. Zhao, Qiuyun & Jiang, Mei & Zhao, Zuoxiang & Liu, Fan & Zhou, Li, 2024. "The impact of green innovation on carbon reduction efficiency in China: Evidence from machine learning validation," Energy Economics, Elsevier, vol. 133(C).
    62. 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.
    63. Zhou, Di & Huang, Qing & Chong, Zhaohui, 2022. "Analysis on the effect and mechanism of land misallocation on carbon emissions efficiency: Evidence from China," Land Use Policy, Elsevier, vol. 121(C).
    64. 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.
    65. Azam, Muhammad & Younes, Ben Zaied & Hunjra, Ahmed Imran & Hussain, Nazim, 2022. "Integrated Spatial-Temporal decomposition analysis for life cycle assessment of carbon emission intensity change in various regions of China," Resources Policy, Elsevier, vol. 79(C).
    66. Decai Tang & Tingyu Ma & Zhijiang Li & Jiexin Tang & Brandon J. Bethel, 2016. "Trend Prediction and Decomposed Driving Factors of Carbon Emissions in Jiangsu Province during 2015–2020," Sustainability, MDPI, vol. 8(10), pages 1-15, October.
    67. Chen, Jiandong & Xu, Chong & Cui, Lianbiao & Huang, Shuo & Song, Malin, 2019. "Driving factors of CO2 emissions and inequality characteristics in China: A combined decomposition approach," Energy Economics, Elsevier, vol. 78(C), pages 589-597.
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    72. Chen, Qingjuan & Wang, Qunwei & Zhou, Dequn & Wang, Honggang, 2023. "Drivers and evolution of low-carbon development in China's transportation industry: An integrated analytical approach," Energy, Elsevier, vol. 262(PB).

  6. Seng-Su Tsang & Yi-Fen Chen & Yung-Hsiang Lu & Ching-Ren Chiu, 2014. "Assessing productivity in the presence of negative data and undesirable outputs," The Service Industries Journal, Taylor & Francis Journals, vol. 34(2), pages 162-174, January.

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    1. David Fang & Ming‐Ching Hsueh & Ching‐Ren Chiu, 2020. "An investigation of international hotel productivity considering quasifixed inputs and negative outputs," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 41(3), pages 380-388, April.
    2. Chiu, Ching-Ren & Chiu, Yung-Ho & Chen, Yu-Chuan & Fang, Chen-Ling, 2016. "Exploring the source of metafrontier inefficiency for various bank types in the two-stage network system with undesirable output," Pacific-Basin Finance Journal, Elsevier, vol. 36(C), pages 1-13.
    3. 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.
    4. Huang, Tai-Hsin & Chiang, Dien-Lin & Tsai, Chao-Min, 2015. "Applying the New Metafrontier Directional Distance Function to Compare Banking Efficiencies in Central and Eastern European Countries," Economic Modelling, Elsevier, vol. 44(C), pages 188-199.

  7. Wan-Yu Liu & Chun-Cheng Lin & Ching-Ren Chiu & You-Song Tsao & Qunwei Wang, 2014. "Minimizing the Carbon Footprint for the Time-Dependent Heterogeneous-Fleet Vehicle Routing Problem with Alternative Paths," Sustainability, MDPI, vol. 6(7), pages 1-27, July.

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    1. Shaohua Cui & Hui Zhao & Cuiping Zhang, 2018. "Multiple Types of Plug-In Charging Facilities’ Location-Routing Problem with Time Windows for Mobile Charging Vehicles," Sustainability, MDPI, vol. 10(8), pages 1-26, August.
    2. Yongrok Choi & Ning Zhang, 2015. "Introduction to the Special Issue on “the Sustainable Asia Conference 2014”," Sustainability, MDPI, vol. 7(2), pages 1-8, February.
    3. Ilkyeong Moon & Yoon Jea Jeong & Subrata Saha, 2016. "Fuzzy Bi-Objective Production-Distribution Planning Problem under the Carbon Emission Constraint," Sustainability, MDPI, vol. 8(8), pages 1-17, August.
    4. Songyi Wang & Fengming Tao & Yuhe Shi & Haolin Wen, 2017. "Optimization of Vehicle Routing Problem with Time Windows for Cold Chain Logistics Based on Carbon Tax," Sustainability, MDPI, vol. 9(5), pages 1-23, April.
    5. Longlong Leng & Yanwei Zhao & Zheng Wang & Jingling Zhang & Wanliang Wang & Chunmiao Zhang, 2019. "A Novel Hyper-Heuristic for the Biobjective Regional Low-Carbon Location-Routing Problem with Multiple Constraints," Sustainability, MDPI, vol. 11(6), pages 1-31, March.
    6. Shijin Wang & Xiaodong Wang & Xin Liu & Jianbo Yu, 2018. "A Bi-Objective Vehicle-Routing Problem with Soft Time Windows and Multiple Depots to Minimize the Total Energy Consumption and Customer Dissatisfaction," Sustainability, MDPI, vol. 10(11), pages 1-21, November.
    7. Yuhe Shi & Zhenggang He, 2018. "Decision Analysis of Disturbance Management in the Process of Medical Supplies Transportation after Natural Disasters," IJERPH, MDPI, vol. 15(8), pages 1-18, August.
    8. Songyi Wang & Fengming Tao & Yuhe Shi, 2018. "Optimization of Location–Routing Problem for Cold Chain Logistics Considering Carbon Footprint," IJERPH, MDPI, vol. 15(1), pages 1-17, January.
    9. Lorena Reyes-Rubiano & Laura Calvet & Angel A. Juan & Javier Faulin & Lluc Bové, 2020. "A biased-randomized variable neighborhood search for sustainable multi-depot vehicle routing problems," Journal of Heuristics, Springer, vol. 26(3), pages 401-422, June.
    10. 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.
    11. Gaoyuan Qin & Fengming Tao & Lixia Li, 2019. "A Vehicle Routing Optimization Problem for Cold Chain Logistics Considering Customer Satisfaction and Carbon Emissions," IJERPH, MDPI, vol. 16(4), pages 1-17, February.
    12. Daniel Efurosibina Attoye & Kheira Anissa Tabet Aoul & Ahmed Hassan, 2017. "A Review on Building Integrated Photovoltaic Façade Customization Potentials," Sustainability, MDPI, vol. 9(12), pages 1-24, December.
    13. Ziqi Wang & Peihan Wen, 2020. "Optimization of a Low-Carbon Two-Echelon Heterogeneous-Fleet Vehicle Routing for Cold Chain Logistics under Mixed Time Window," Sustainability, MDPI, vol. 12(5), pages 1-22, March.
    14. Ozgur Kabadurmus & Mehmet S. Erdogan, 2023. "A green vehicle routing problem with multi-depot, multi-tour, heterogeneous fleet and split deliveries: a mathematical model and heuristic approach," Journal of Combinatorial Optimization, Springer, vol. 45(3), pages 1-29, April.
    15. Xujing Zhang & Lichuan Wang & Yan Chen, 2019. "Carbon Emission Reduction of Apparel Material Distribution Based on Multi-Objective Genetic Algorithm (NSGA-II)," Sustainability, MDPI, vol. 11(9), pages 1-15, May.

  8. Chiu, Ching-Ren & Liou, Je-Liang & Wu, Pei-Ing & Fang, Chen-Ling, 2012. "Decomposition of the environmental inefficiency of the meta-frontier with undesirable output," Energy Economics, Elsevier, vol. 34(5), pages 1392-1399.

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    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. Hao Zhang & Jianxin You & Xuekelaiti Haiyirete & Tianyu Zhang, 2020. "Measuring Logistics Efficiency in China Considering Technology Heterogeneity and Carbon Emission through a Meta-Frontier Model," Sustainability, MDPI, vol. 12(19), pages 1-18, October.
    3. Stergiou, Eirini & Rigas, Nikos & Kounetas, Konstantinos E., 2023. "Environmental productivity growth across European industries," Energy Economics, Elsevier, vol. 123(C).
    4. 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.
    5. Bostian, Moriah & Färe, Rolf & Grosskopf, Shawna & Lundgren, Tommy, 2016. "Environmental investment and firm performance: A network approach," Energy Economics, Elsevier, vol. 57(C), pages 243-255.
    6. 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.
    7. Zhong, Shen & Li, Junwei & Chen, Xi & Wen, Hongmei, 2022. "A multi-hierarchy meta-frontier approach for measuring green total factor productivity: An application of pig breeding in China," Socio-Economic Planning Sciences, Elsevier, vol. 81(C).
    8. Majiwa, E. & Mugodo, C., 2018. "Technical efficiency and technology gap ratios among rice farmers in Kenya," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 277209, International Association of Agricultural Economists.
    9. 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.
    10. Xiaohong Liu & Jiasen Sun & Feng Yang & Jie Wu, 2020. "How ownership structure affects bank deposits and loan efficiencies: an empirical analysis of Chinese commercial banks," Annals of Operations Research, Springer, vol. 290(1), pages 983-1008, July.
    11. Du, Limin & Hanley, Aoife & Wei, Chu, 2015. "Estimating the marginal abatement cost curve of CO2 emissions in China: Provincial panel data analysis," Kiel Working Papers 1985, Kiel Institute for the World Economy (IfW Kiel).
    12. 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.
    13. Zhang, Ning & Zhou, P. & Choi, Yongrok, 2013. "Energy efficiency, CO2 emission performance and technology gaps in fossil fuel electricity generation in Korea: A meta-frontier non-radial directional distance functionanalysis," Energy Policy, Elsevier, vol. 56(C), pages 653-662.
    14. Fei, Rilong & Lin, Boqiang, 2016. "Energy efficiency and production technology heterogeneity in China's agricultural sector: A meta-frontier approach," Technological Forecasting and Social Change, Elsevier, vol. 109(C), pages 25-34.
    15. 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.
    16. 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.
    17. Kounetas, Konstantinos, 2015. "Heterogeneous technologies, strategic groups and environmental efficiency technology gaps for European countries," Energy Policy, Elsevier, vol. 83(C), pages 277-287.
    18. 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.
    19. Chung, Yeimin & Heshmati, Almas, 2013. "Measurement of Environmentally Sensitive Productivity Growth in Korean Industries," IZA Discussion Papers 7235, Institute of Labor Economics (IZA).
    20. Roberto Gómez-Calvet & David Conesa & Ana Rosa Gómez-Calvet & Emili Tortosa-Ausina, 2013. "Energy efficiency in the European Union: What can be learned from the joint application of directional distance functions and slacks-based measures?," Working Papers 2013/17, Economics Department, Universitat Jaume I, Castellón (Spain).
    21. Hang, Ye & Sun, Jiasen & Wang, Qunwei & Zhao, Zengyao & Wang, Yizhong, 2015. "Measuring energy inefficiency with undesirable outputs and technology heterogeneity in Chinese cities," Economic Modelling, Elsevier, vol. 49(C), pages 46-52.
    22. Pombo, Carlos & Taborda, Rodrigo, 2006. "Performance and efficiency in Colombia's power distribution system: Effects of the 1994 reform," Energy Economics, Elsevier, vol. 28(3), pages 339-369, May.
    23. Ping Wang & Bangzhu Zhu & Xueping Tao & Rui Xie, 2017. "Measuring regional energy efficiencies in China: a meta-frontier SBM-Undesirable 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. 85(2), pages 793-809, January.
    24. Vincent Charles & Guillermo Díaz, 2017. "A Non-radial DEA Index for Peruvian Regional Competitiveness," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 134(2), pages 747-770, November.
    25. Kounetas, Kostas & Zervopoulos, Panagiotis, 2017. "Annex I and non-Annex I countries’productive performance revisited using a generalized directional distance function under a metafrontier framework: Is there any convergence-divergence pattern for tec," MPRA Paper 80904, University Library of Munich, Germany.
    26. H. Pierre Hsieh & Kuo‐Cheng Kuo & Minh‐Hieu Le & Wen‐Min Lu, 2021. "Exploring the cargo and eco‐efficiencies of international container shipping companies: A network‐based ranking approach," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 42(1), pages 45-60, January.
    27. Ying Li & Yung‐ho Chiu & Tai‐Yu Lin & Hongyi Cen & Yabin Liu, 2021. "Evaluation of natural disaster treatment efficiency in 27 Chinese provinces," Natural Resources Forum, Blackwell Publishing, vol. 45(3), pages 256-288, August.
    28. 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.
    29. Xiongfeng Pan & Jing Zhang & Changyu Li & Xianyou Pan & Jinbo Song, 2019. "Analysis of China’s regional wind power generation efficiency and its influencing factors," Energy & Environment, , vol. 30(2), pages 254-271, March.
    30. 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.
    31. Chiu, Ching-Ren & Chiu, Yung-Ho & Chen, Yu-Chuan & Fang, Chen-Ling, 2016. "Exploring the source of metafrontier inefficiency for various bank types in the two-stage network system with undesirable output," Pacific-Basin Finance Journal, Elsevier, vol. 36(C), pages 1-13.
    32. Wen‐Min Lu & Qian Long Kweh & Irene Wei Kiong Ting & Chunya Ren, 2023. "How does stakeholder engagement through environmental, social, and governance affect eco‐efficiency and profitability efficiency? Zooming into Apple Inc.'s counterparts," Business Strategy and the Environment, Wiley Blackwell, vol. 32(1), pages 587-601, January.
    33. Zha, Donglan & Yang, Guanglei & Wang, Qunwei, 2019. "Investigating the driving factors of regional CO2 emissions in China using the IDA-PDA-MMI method," Energy Economics, Elsevier, vol. 84(C).
    34. Lin, Ruiyue & Peng, Yudan, 2024. "A new cross-efficiency meta-frontier analysis method with good ability to identify technology gaps," European Journal of Operational Research, Elsevier, vol. 314(2), pages 735-746.
    35. Abdulla, Eman & Lim, King Yoong & Morris, Diego & Saliba, Faten, 2022. "Climate Change, Gender Equality, and Firm-Level Innovation : Cross-Country Evidence," The Warwick Economics Research Paper Series (TWERPS) 1429, University of Warwick, Department of Economics.
    36. Kounetas, Konstantinos & Stergiou, Eirini, 2019. "Technology heterogeneity in European industries' energy efficiency performance. The role of climate, greenhouse gases, path dependence and energy mix," MPRA Paper 92314, University Library of Munich, Germany.
    37. Li, Mingquan & Wang, Qi, 2014. "International environmental efficiency differences and their determinants," Energy, Elsevier, vol. 78(C), pages 411-420.
    38. Gulati, Rachita & Kumar, Sunil, 2016. "Assessing the impact of the global financial crisis on the profit efficiency of Indian banks," Economic Modelling, Elsevier, vol. 58(C), pages 167-181.
    39. Sun, Chuanwang & Liu, Xiaohong & Li, Aijun, 2018. "Measuring unified efficiency of Chinese fossil fuel power plants: Intermediate approach combined with group heterogeneity and window analysis," Energy Policy, Elsevier, vol. 123(C), pages 8-18.
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