IDEAS home Printed from https://ideas.repec.org/r/eee/enepol/v38y2010i4p1909-1917.html
   My bibliography  Save this item

Resource and environment efficiency analysis of provinces in China: A DEA approach based on Shannon's entropy

Citations

Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
as


Cited by:

  1. Gongbing Bi & Yan Luo & Jingjing Ding & Liang Liang, 2015. "Environmental performance analysis of Chinese industry from a slacks-based perspective," Annals of Operations Research, Springer, vol. 228(1), pages 65-80, May.
  2. Bi, Gong-Bing & Song, Wen & Zhou, P. & Liang, Liang, 2014. "Does environmental regulation affect energy efficiency in China's thermal power generation? Empirical evidence from a slacks-based DEA model," Energy Policy, Elsevier, vol. 66(C), pages 537-546.
  3. Sueyoshi, Toshiyuki & Yuan, Yan & Goto, Mika, 2017. "A literature study for DEA applied to energy and environment," Energy Economics, Elsevier, vol. 62(C), pages 104-124.
  4. Yitian Ren & Heng Li & Liyin Shen & Yu Zhang & Yang Chen & Jinhuan Wang, 2018. "What Is the Efficiency of Fast Urbanization? A China Study," Sustainability, MDPI, vol. 10(9), pages 1-26, September.
  5. Xu Wang & Liyan Han & Libo Yin, 2016. "Environmental Efficiency and Its Determinants for Manufacturing in China," Sustainability, MDPI, vol. 9(1), pages 1-18, December.
  6. Wang, Zhaohua & Feng, Chao, 2015. "Sources of production inefficiency and productivity growth in China: A global data envelopment analysis," Energy Economics, Elsevier, vol. 49(C), pages 380-389.
  7. Jing Guo & Ying Wang & Haidong Xu & Bo Li & Yang Wang, 2023. "The Financial Density and Improvement of Urban Technological Efficiency: An Estimation Based on the Stochastic Frontier Approach," Land, MDPI, vol. 12(8), pages 1-21, August.
  8. Lu, Yung-Hsiang & Chiu, Yung-Ho & Chiu, Ching-Ren & Wang, Yi-Ting, 2018. "Metafrontier Analysis Of The High-Tech Industryʼs Environmental Effciency In Japan And Taiwan," Hitotsubashi Journal of Economics, Hitotsubashi University, vol. 59(1), pages 9-24, June.
  9. Youshuai Sun & Demi Zhu & Zhenyu Zhang & Na Yan, 2022. "Does Fiscal Stress Improve the Environmental Efficiency? Perspective Based on the Urban Horizontal Fiscal Imbalance," IJERPH, MDPI, vol. 19(10), pages 1-23, May.
  10. Sueyoshi, Toshiyuki & Yuan, Yan, 2016. "Returns to damage under undesirable congestion and damages to return under desirable congestion measured by DEA environmental assessment with multiplier restriction: Economic and energy planning for s," Energy Economics, Elsevier, vol. 56(C), pages 288-309.
  11. Qiong Xia & Min Li & Huaqing Wu & Zhenggang Lu, 2016. "Does the Central Government’s Environmental Policy Work? Evidence from the Provincial-Level Environment Efficiency in China," Sustainability, MDPI, vol. 8(12), pages 1-17, December.
  12. Xifan Chen & Qingyuan Zhu & Chengzhen Xu & Zhiyang Shen & Malin Song, 2024. "Energy and environmental efficiency of China's regional electric power industry by considering renewable energy constraints," Energy & Environment, , vol. 35(2), pages 927-949, March.
  13. Miao, Zhuang & Chen, Xiaodong & Baležentis, Tomas & Sun, Chuanwang, 2019. "Atmospheric environmental productivity across the provinces of China: Joint decomposition of range adjusted measure and Luenberger productivity indicator," Energy Policy, Elsevier, vol. 132(C), pages 665-677.
  14. Malin Song & Guijun Zhang & Kuangnan Fang & Jing Zhang, 2016. "Regional operational and environmental performance evaluation in China: non-radial DEA methodology under natural and managerial disposability," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 84(1), pages 243-265, November.
  15. Weibin Lin & Jin Yang & Bin Chen, 2011. "Temporal and Spatial Analysis of Integrated Energy and Environment Efficiency in China Based on a Green GDP Index," Energies, MDPI, vol. 4(9), pages 1-15, September.
  16. Wu, Hua-qing & Shi, Yan & Xia, Qiong & Zhu, Wei-dong, 2014. "Effectiveness of the policy of circular economy in China: A DEA-based analysis for the period of 11th five-year-plan," Resources, Conservation & Recycling, Elsevier, vol. 83(C), pages 163-175.
  17. Kusaka, Wakana & Kojima, Michikazu & Watanabe, Mariko, 2012. "Environmental consciousness, economic gain and consumer choice of energy efficient appliances in Thailand, China and India," IDE Discussion Papers 345, Institute of Developing Economies, Japan External Trade Organization(JETRO).
  18. Ning Zhang & Fanbin Kong & Chih-Chun Kung, 2015. "On Modeling Environmental Production Characteristics: A Slacks-Based Measure for China’s Poyang Lake Ecological Economics Zone," Computational Economics, Springer;Society for Computational Economics, vol. 46(3), pages 389-404, October.
  19. Ghosh, Santosh & Yadav, Vinod Kumar & Mukherjee, Vivekananda, 2018. "Evaluation of cumulative impact of partial shading and aerosols on different PV array topologies through combined Shannon's entropy and DEA," Energy, Elsevier, vol. 144(C), pages 765-775.
  20. Imad Bou-Hamad & Abdel Latef Anouze & Ibrahim H. Osman, 2022. "A cognitive analytics management framework to select input and output variables for data envelopment analysis modeling of performance efficiency of banks using random forest and entropy of information," Annals of Operations Research, Springer, vol. 308(1), pages 63-92, January.
  21. M. Hurol Mete & Onder Belgin, 2022. "Impact of Knowledge Management Performance on the Efficiency of R&D Active Firms: Evidence from Turkey," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 13(2), pages 830-848, June.
  22. Mardani, Abbas & Zavadskas, Edmundas Kazimieras & Streimikiene, Dalia & Jusoh, Ahmad & Khoshnoudi, Masoumeh, 2017. "A comprehensive review of data envelopment analysis (DEA) approach in energy efficiency," Renewable and Sustainable Energy Reviews, Elsevier, vol. 70(C), pages 1298-1322.
  23. Wang, Ke & Lu, Bin & Wei, Yi-Ming, 2013. "China’s regional energy and environmental efficiency: A Range-Adjusted Measure based analysis," Applied Energy, Elsevier, vol. 112(C), pages 1403-1415.
  24. Anyu Yu & Guangshe Jia & Jianxin You & Puwei Zhang, 2018. "Estimation of PM 2.5 Concentration Efficiency and Potential Public Mortality Reduction in Urban China," IJERPH, MDPI, vol. 15(3), pages 1-19, March.
  25. Vlontzos, George & Niavis, Spyros & Manos, Basil, 2014. "A DEA approach for estimating the agricultural energy and environmental efficiency of EU countries," Renewable and Sustainable Energy Reviews, Elsevier, vol. 40(C), pages 91-96.
  26. Fan Jianping & Yue Weizhen & Wu Meiqin, 2015. "Dealing with Interval DEA Based on Error Propagation and Entropy: A Case Study of Energy Efficiency of Regions in China Considering Environmental Factors," Journal of Systems Science and Information, De Gruyter, vol. 3(6), pages 538-548, December.
  27. Wang, Yiming & Zhang, Pei & Huang, Dake & Cai, Changda, 2014. "Convergence behavior of carbon dioxide emissions in China," Economic Modelling, Elsevier, vol. 43(C), pages 75-80.
  28. 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.
  29. Yantuan Yu & Jianhuan Huang & Nengsheng Luo, 2018. "Can More Environmental Information Disclosure Lead to Higher Eco-Efficiency? Evidence from China," Sustainability, MDPI, vol. 10(2), pages 1-20, February.
  30. Zhang, Bo & Chen, G.Q. & Xia, X.H. & Li, S.C. & Chen, Z.M. & Ji, Xi, 2012. "Environmental emissions by Chinese industry: Exergy-based unifying assessment," Energy Policy, Elsevier, vol. 45(C), pages 490-501.
  31. Corrado lo Storto, 2019. "An SNA-DEA Prioritization Framework to Identify Critical Nodes of Gas Networks: The Case of the US Interstate Gas Infrastructure," Energies, MDPI, vol. 12(23), pages 1-18, December.
  32. Lu, Xinhai & Chen, Danling & Kuang, Bing & Zhang, Chaozheng & Cheng, Chen, 2020. "Is high-tech zone a policy trap or a growth drive? Insights from the perspective of urban land use efficiency," Land Use Policy, Elsevier, vol. 95(C).
  33. Jie Wu & Panpan Xia & Qingyuan Zhu & Junfei Chu, 2019. "Measuring environmental efficiency of thermoelectric power plants: a common equilibrium efficient frontier DEA approach with fixed-sum undesirable output," Annals of Operations Research, Springer, vol. 275(2), pages 731-749, April.
  34. Feng, Chao & Zhang, Hua & Huang, Jian-Bai, 2017. "The approach to realizing the potential of emissions reduction in China: An implication from data envelopment analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 71(C), pages 859-872.
  35. Wu, Jie & An, Qingxian & Xiong, Beibei & Chen, Ya, 2013. "Congestion measurement for regional industries in China: A data envelopment analysis approach with undesirable outputs," Energy Policy, Elsevier, vol. 57(C), pages 7-13.
  36. Qingyou Yan & Xu Wang & Tomas Baležentis & Dalia Streimikiene, 2018. "Energy–economy–environmental (3E) performance of Chinese regions based on the data envelopment analysis model with mixed assumptions on disposability," Energy & Environment, , vol. 29(5), pages 664-684, August.
  37. Yu, Dejian & He, Xiaorong, 2020. "A bibliometric study for DEA applied to energy efficiency: Trends and future challenges," Applied Energy, Elsevier, vol. 268(C).
  38. Aneta Masternak‐Janus, 2022. "Measuring the efficiency of materials management based on data envelopment analysis approach: the case of Polish regions," Papers in Regional Science, Wiley Blackwell, vol. 101(3), pages 603-618, June.
  39. Jie Wu & Qingyuan Zhu & Pengzhen Yin & Malin Song, 2017. "Measuring energy and environmental performance for regions in China by using DEA-based Malmquist indices," Operational Research, Springer, vol. 17(3), pages 715-735, October.
  40. Yu, Ming-Miin & Rakshit, Ipsita, 2023. "Target setting for airlines incorporating CO2 emissions: The DEA bargaining approach," Journal of Air Transport Management, Elsevier, vol. 108(C).
  41. Halkos, George & Tzeremes, Nickolaos, 2011. "Regional environmental efficiency and economic growth: NUTS2 evidence from Germany, France and the UK," MPRA Paper 33698, University Library of Munich, Germany.
  42. Corrado Lo Storto, 2016. "Ecological Efficiency Based Ranking of Cities: A Combined DEA Cross-Efficiency and Shannon’s Entropy Method," Sustainability, MDPI, vol. 8(2), pages 1-29, January.
  43. Ghosh, Santosh & Yadav, Vinod Kumar & Mukherjee, Vivekananda & Gupta, Shubham, 2021. "Three decades of Indian power-sector reform:A critical assessment," Utilities Policy, Elsevier, vol. 68(C).
  44. Annageldy Arazmuradov, 2016. "Economic prospect on carbon emissions in Commonwealth of Independent States," Economic Change and Restructuring, Springer, vol. 49(4), pages 395-427, November.
  45. Xie, Qiwei & Hu, Ping & Jiang, An & Li, Yongjun, 2019. "Carbon emissions allocation based on satisfaction perspective and data envelopment analysis," Energy Policy, Elsevier, vol. 132(C), pages 254-264.
  46. Boban Djordjević & Evelin Krmac, 2019. "Evaluation of Energy-Environment Efficiency of European Transport Sectors: Non-Radial DEA and TOPSIS Approach," Energies, MDPI, vol. 12(15), pages 1-27, July.
  47. Wu, Jie & Zhu, Qingyuan & Liang, Liang, 2016. "CO2 emissions and energy intensity reduction allocation over provincial industrial sectors in China," Applied Energy, Elsevier, vol. 166(C), pages 282-291.
  48. George Halkos & Kleoniki Natalia Petrou, 2019. "Analysing the Energy Efficiency of EU Member States: The Potential of Energy Recovery from Waste in the Circular Economy," Energies, MDPI, vol. 12(19), pages 1-32, September.
  49. Bin Lu & Ke Wang & Zhiqiang Xu, 2016. "China's regional energy efficiency: Results based on three-stage DEA model," CEEP-BIT Working Papers 89, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
  50. Yongrok Choi & Dong-hyun Oh & Ning Zhang, 2015. "Environmentally sensitive productivity growth and its decompositions in China: a metafrontier Malmquist–Luenberger productivity index approach," Empirical Economics, Springer, vol. 49(3), pages 1017-1043, November.
  51. Jin, Jingliang & Zhou, Dequn & Zhou, Peng, 2014. "Measuring environmental performance with stochastic environmental DEA: The case of APEC economies," Economic Modelling, Elsevier, vol. 38(C), pages 80-86.
  52. Xin Jiang & Yuyu Liu & Ranhang Zhao, 2019. "A Framework for Ecological Compensation Assessment: A Case Study in the Upper Hun River Basin, Northeast China," Sustainability, MDPI, vol. 11(4), pages 1-13, February.
  53. Roman Lacko & Zuzana Hajduová, 2018. "Determinants of Environmental Efficiency of the EU Countries Using Two-Step DEA Approach," Sustainability, MDPI, vol. 10(10), pages 1-13, September.
  54. Sun, Jiasen & Li, Guo & Wang, Zhaohua, 2018. "Optimizing China’s energy consumption structure under energy and carbon constraints," Structural Change and Economic Dynamics, Elsevier, vol. 47(C), pages 57-72.
  55. Eugenia Nissi & Annalina Sarra, 2018. "A Measure of Well-Being Across the Italian Urban Areas: An Integrated DEA-Entropy Approach," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 136(3), pages 1183-1209, April.
  56. Özkara, Yücel & Atak, Mehmet, 2015. "Regional total-factor energy efficiency and electricity saving potential of manufacturing industry in Turkey," Energy, Elsevier, vol. 93(P1), pages 495-510.
  57. Aizhen Zhang & Aijun Li & Yaping Gao, 2018. "Social Sustainability Assessment across Provinces in China: An Analysis of Combining Intermediate Approach with Data Envelopment Analysis (DEA) Window Analysis," Sustainability, MDPI, vol. 10(3), pages 1-24, March.
  58. Hao, Xiaoli & Wen, Shufang & Xue, Yan & Wu, Haitao & Hao, Yu, 2023. "How to improve environment, resources and economic efficiency in the digital era?," Resources Policy, Elsevier, vol. 80(C).
  59. Abbas Mardani & Dalia Streimikiene & Tomas Balezentis & Muhamad Zameri Mat Saman & Khalil Md Nor & Seyed Meysam Khoshnava, 2018. "Data Envelopment Analysis in Energy and Environmental Economics: An Overview of the State-of-the-Art and Recent Development Trends," Energies, MDPI, vol. 11(8), pages 1-21, August.
  60. Wu, F. & Fan, L.W. & Zhou, P. & Zhou, D.Q., 2012. "Industrial energy efficiency with CO2 emissions in China: A nonparametric analysis," Energy Policy, Elsevier, vol. 49(C), pages 164-172.
  61. Bingquan Liu & Yongqing Li & Rui Hou & Hui Wang, 2019. "Does Urbanization Improve Industrial Water Consumption Efficiency?," Sustainability, MDPI, vol. 11(6), pages 1-17, March.
  62. Ya Chen & Wade D. Cook & Juan Du & Hanhui Hu & Joe Zhu, 2017. "Bounded and discrete data and Likert scales in data envelopment analysis: application to regional energy efficiency in China," Annals of Operations Research, Springer, vol. 255(1), pages 347-366, August.
  63. Yuyu Liu & Caizhi Sun & Shiguo Xu, 2013. "Eco-Efficiency Assessment of Water Systems in China," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 27(14), pages 4927-4939, November.
  64. Ying Deng & Qianqian Yue & Xin Zhao, 2024. "What Does Air Quality Information Disclosure Deliver and to Whom? Evidence from the Ambient Air Quality Standard (2012) Program in China," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 87(11), pages 2859-2887, November.
  65. Xiaoqing Wang & Qiuming Wu & Salman Majeed & Donghao Sun, 2018. "Fujian’s Industrial Eco-Efficiency: Evaluation Based on SBM and the Empirical Analysis of lnfluencing Factors," Sustainability, MDPI, vol. 10(9), pages 1-18, September.
  66. Fang, Chin-Yi & Hu, Jin-Li & Lou, Tze-Kai, 2013. "Environment-adjusted total-factor energy efficiency of Taiwan's service sectors," Energy Policy, Elsevier, vol. 63(C), pages 1160-1168.
  67. Halkos, George E. & Tzeremes, Nickolaos G., 2013. "A conditional directional distance function approach for measuring regional environmental efficiency: Evidence from UK regions," European Journal of Operational Research, Elsevier, vol. 227(1), pages 182-189.
  68. Chen, Nengcheng & Xu, Lei & Chen, Zeqiang, 2017. "Environmental efficiency analysis of the Yangtze River Economic Zone using super efficiency data envelopment analysis (SEDEA) and tobit models," Energy, Elsevier, vol. 134(C), pages 659-671.
  69. Wang, Ke & Wei, Yi-Ming & Zhang, Xian, 2012. "A comparative analysis of China’s regional energy and emission performance: Which is the better way to deal with undesirable outputs?," Energy Policy, Elsevier, vol. 46(C), pages 574-584.
  70. Zhang, Zibin & Ye, Jianliang, 2015. "Decomposition of environmental total factor productivity growth using hyperbolic distance functions: A panel data analysis for China," Energy Economics, Elsevier, vol. 47(C), pages 87-97.
  71. Stefaniec, Agnieszka & Hosseini, Keyvan & Assani, Saeed & Hosseini, Seyed Maziar & Li, Yongjun, 2021. "Social sustainability of regional transportation: An assessment framework with application to EU road transport," Socio-Economic Planning Sciences, Elsevier, vol. 78(C).
  72. Ghosh, Santosh & Yadav, Vinod Kumar & Mukherjee, Vivekananda & Yadav, Pankaj, 2017. "Evaluation of relative impact of aerosols on photovoltaic cells through combined Shannon's entropy and Data Envelopment Analysis (DEA)," Renewable Energy, Elsevier, vol. 105(C), pages 344-353.
  73. Lim, Seong-Rin & Schoenung, Julie M., 2011. "Measurement and analysis of product energy efficiency to assist energy star criteria development: An example for desktop computers," Energy Policy, Elsevier, vol. 39(12), pages 8003-8010.
  74. Haifeng Huang & Tao Wang, 2017. "The Total-Factor Energy Efficiency of Regions in China: Based on Three-Stage SBM Model," Sustainability, MDPI, vol. 9(9), pages 1-20, September.
  75. Shichun Xu & Yiwen Li & Yuan Tao & Yan Wang & Yunfan Li, 2020. "Regional Differences in the Spatial Characteristics and Dynamic Convergence of Environmental Efficiency in China," Sustainability, MDPI, vol. 12(18), pages 1-21, September.
  76. Xiaowei Song & Yongpei Hao & Xiaodong Zhu, 2015. "Analysis of the Environmental Efficiency of the Chinese Transportation Sector Using an Undesirable Output Slacks-Based Measure Data Envelopment Analysis Model," Sustainability, MDPI, vol. 7(7), pages 1-20, July.
  77. Yalei Fei & Gongbing Bi & Wen Song & Yan Luo, 2019. "Measuring the Efficiency of Two-Stage Production Process in the Presence of Undesirable Outputs," Computational Economics, Springer;Society for Computational Economics, vol. 54(4), pages 1343-1358, December.
  78. Pan, Yinghao & Zhang, Chao-Chao & Lee, Chien-Chiang & Lv, Suxiang, 2024. "Environmental performance evaluation of electric enterprises during a power crisis: Evidence from DEA methods and AI prediction algorithms," Energy Economics, Elsevier, vol. 130(C).
  79. Sun Meng & Wei Zhou & Jin Chen & Cheng Zhang, 2018. "A synthesized data envelopment analysis model and its application in resource efficiency evaluation and dynamic trend analysis," Energy & Environment, , vol. 29(2), pages 260-280, March.
  80. Valeriy Victorovich Iosifov & Nairuhi Akopovna Almastyan & Alessandro Figus & Yuri Chepurko & Nguy?n Ho ng Hi?n & Marina Alexandrovna Krotova, 2017. "The problem of Harmonizing the Environmental Priorities of Electricity Generating Companies and Regional Socio-Economic Systems: DEA-based Approach," International Journal of Energy Economics and Policy, Econjournals, vol. 7(5), pages 159-165.
  81. Zhong Fang & Hua Bai & Yuriy Bilan, 2019. "Evaluation Research of Green Innovation Efficiency in China’s Heavy Polluting Industries," Sustainability, MDPI, vol. 12(1), pages 1-21, December.
  82. Wu, Jie & Lv, Lin & Sun, Jiasen & Ji, Xiang, 2015. "A comprehensive analysis of China's regional energy saving and emission reduction efficiency: From production and treatment perspectives," Energy Policy, Elsevier, vol. 84(C), pages 166-176.
  83. 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.
  84. Chang, Young-Tae & Zhang, Ning & Danao, Denise & Zhang, Nan, 2013. "Environmental efficiency analysis of transportation system in China: A non-radial DEA approach," Energy Policy, Elsevier, vol. 58(C), pages 277-283.
  85. Vilanova, Mateus Ricardo Nogueira & Magalhães Filho, Paulo & Balestieri, José Antônio Perrella, 2015. "Performance measurement and indicators for water supply management: Review and international cases," Renewable and Sustainable Energy Reviews, Elsevier, vol. 43(C), pages 1-12.
  86. Meiqiang Wang & Yingwen Chen & Zhixiang Zhou, 2020. "A Novel Stochastic Two-Stage DEA Model for Evaluating Industrial Production and Waste Gas Treatment Systems," Sustainability, MDPI, vol. 12(6), pages 1-17, March.
  87. Yiru Jiang & Xinjun Wang, 2024. "Evaluation, Driving Mechanism and Spatial Correlation Analysis of Atmospheric Environmental Efficiency in the “2+26” Cities Based on the Nonradial MEA Model," Sustainability, MDPI, vol. 16(2), pages 1-23, January.
  88. Bian, Yiwen & Yan, Shuai & Xu, Hao, 2014. "Efficiency evaluation for regional urban water use and wastewater decontamination systems in China: A DEA approach," Resources, Conservation & Recycling, Elsevier, vol. 83(C), pages 15-23.
  89. Yu, Anyu & You, Jianxin & Rudkin, Simon & Zhang, Hao, 2019. "Industrial carbon abatement allocations and regional collaboration: Re-evaluating China through a modified data envelopment analysis," Applied Energy, Elsevier, vol. 233, pages 232-243.
  90. Bian, Yiwen & He, Ping & Xu, Hao, 2013. "Estimation of potential energy saving and carbon dioxide emission reduction in China based on an extended non-radial DEA approach," Energy Policy, Elsevier, vol. 63(C), pages 962-971.
  91. Sueyoshi, Toshiyuki & Yuan, Yan, 2015. "China's regional sustainability and diversified resource allocation: DEA environmental assessment on economic development and air pollution," Energy Economics, Elsevier, vol. 49(C), pages 239-256.
  92. Wang, Ke & Wei, Yi-Ming & Zhang, Xian, 2013. "Energy and emissions efficiency patterns of Chinese regions: A multi-directional efficiency analysis," Applied Energy, Elsevier, vol. 104(C), pages 105-116.
  93. Zhou, Haibo & Yang, Yi & Chen, Yao & Zhu, Joe, 2018. "Data envelopment analysis application in sustainability: The origins, development and future directions," European Journal of Operational Research, Elsevier, vol. 264(1), pages 1-16.
  94. West, Steele, 2021. "The Estimation of Farm Business Inefficiency in the Presence of Debt Repayment," 2021 Conference, August 17-31, 2021, Virtual 315048, International Association of Agricultural Economists.
  95. Yu, Yantuan & Peng, Chong & Li, Yushuang, 2019. "Do neighboring prefectures matter in promoting eco-efficiency? Empirical evidence from China," Technological Forecasting and Social Change, Elsevier, vol. 144(C), pages 456-465.
  96. Xiaoyang Zhou & Hao Chen & Hao Wang & Benjamin Lev & Lifang Quan, 2019. "Natural and Managerial Disposability Based DEA Model for China’s Regional Environmental Efficiency Assessment," Energies, MDPI, vol. 12(18), pages 1-20, September.
  97. Lin, Boqiang & Xu, Mengmeng, 2018. "Regional differences on CO2 emission efficiency in metallurgical industry of China," Energy Policy, Elsevier, vol. 120(C), pages 302-311.
  98. Junfei Chu & Jie Wu & Qingyuan Zhu & Qingxian An & Beibei Xiong, 2019. "Analysis of China’s Regional Eco-efficiency: A DEA Two-stage Network Approach with Equitable Efficiency Decomposition," Computational Economics, Springer;Society for Computational Economics, vol. 54(4), pages 1263-1285, December.
  99. Jianhuan Huang & Yantuan Yu & Chunbo Ma, 2018. "Energy Efficiency Convergence in China: Catch-Up, Lock-In and Regulatory Uniformity," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 70(1), pages 107-130, May.
  100. Jiliang Zheng & Xiaoting Peng, 2019. "Does an Ecological Industry Chain Improve the Eco-Efficiency of an Industrial Cluster? Based on Empirical Study of an Energy-Intensive Industrial Cluster in China," Sustainability, MDPI, vol. 11(6), pages 1-18, March.
  101. Svetlana Ratner & Andrey Lychev & Aleksei Rozhnov & Igor Lobanov, 2021. "Efficiency Evaluation of Regional Environmental Management Systems in Russia Using Data Envelopment Analysis," Mathematics, MDPI, vol. 9(18), pages 1-21, September.
  102. Feng, Chao & Wang, Miao, 2018. "Analysis of energy efficiency in China's transportation sector," Renewable and Sustainable Energy Reviews, Elsevier, vol. 94(C), pages 565-575.
  103. Yang, Mian & Yang, Fu-Xia & Chen, Xing-Peng, 2011. "Effects of substituting energy with capital on China's aggregated energy and environmental efficiency," Energy Policy, Elsevier, vol. 39(10), pages 6065-6072, October.
  104. Kai He & Nan Zhu & Wu Jiang & Chuanjin Zhu, 2022. "Efficiency Evaluation of Chinese Provincial Industrial System Based on Network DEA Method," Sustainability, MDPI, vol. 14(9), pages 1-24, April.
  105. Zuoxiang Zhao, 2017. "Measurement of production efficiency and environmental efficiency in China’s province-level: a by-production approach," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 19(4), pages 735-759, October.
  106. Yue Xu & Zebin Wang & Yung-Ho Chiu & Fangrong Ren, 2020. "Research on energy-saving and emissions reduction efficiency in Chinese thermal power companies," Energy & Environment, , vol. 31(5), pages 903-919, August.
  107. Yu, Yantuan & Huang, Jianhuan & Zhang, Ning, 2019. "Modeling the eco-efficiency of Chinese prefecture-level cities with regional heterogeneities: A comparative perspective," Ecological Modelling, Elsevier, vol. 402(C), pages 1-17.
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.