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A data envelopment analysis of the efficiency of China's thermal power generation

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  1. Ke Wang & Chia-Yen Lee & Jieming Zhang & Yi-Ming Wei, 2018. "Operational performance management of the power industry: a distinguishing analysis between effectiveness and efficiency," Annals of Operations Research, Springer, vol. 268(1), pages 513-537, September.
  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. 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.
  5. Goncharuk, Anatoliy G. & Storto, Corrado lo, 2017. "Challenges and policy implications of gas reform in Italy and Ukraine: Evidence from a benchmarking analysis," Energy Policy, Elsevier, vol. 101(C), pages 456-466.
  6. Yu, Bolin & Fang, Debin & Meng, Jingxuan, 2021. "Analysis of the generation efficiency of disaggregated renewable energy and its spatial heterogeneity influencing factors: A case study of China," Energy, Elsevier, vol. 234(C).
  7. Antonio Estache & Sergio Perelman & Lourdes Trujillo, 2006. "Infrastructure Reform in Developing Economies: Evidence from a survey of efficiency measures," ULB Institutional Repository 2013/44062, ULB -- Universite Libre de Bruxelles.
  8. Zhigang Zhu & Xuping Zhang & Yujia Wang & Xiang Chen, 2021. "Energy Cost Performance of Thermal Power Industry in China Considering Regional Heterogeneity: A Meta-Frontier Cost Malmquist Productivity Decomposition Approach," Sustainability, MDPI, vol. 13(12), pages 1-19, June.
  9. Song, Malin & Wang, Jianlin, 2018. "Environmental efficiency evaluation of thermal power generation in China based on a slack-based endogenous directional distance function model," Energy, Elsevier, vol. 161(C), pages 325-336.
  10. Mou, Dunguo, 2014. "Understanding China’s electricity market reform from the perspective of the coal-fired power disparity," Energy Policy, Elsevier, vol. 74(C), pages 224-234.
  11. Zhou, P. & Ang, B.W. & Poh, K.L., 2008. "A survey of data envelopment analysis in energy and environmental studies," European Journal of Operational Research, Elsevier, vol. 189(1), pages 1-18, August.
  12. Ke Wang & Zhifu Mi & Yi‐Ming Wei, 2019. "Will Pollution Taxes Improve Joint Ecological and Economic Efficiency of Thermal Power Industry in China?: A DEA‐Based Materials Balance Approach," Journal of Industrial Ecology, Yale University, vol. 23(2), pages 389-401, April.
  13. Zhou, Kaile & Yang, Shanlin & Shen, Chao & Ding, Shuai & Sun, Chaoping, 2015. "Energy conservation and emission reduction of China’s electric power industry," Renewable and Sustainable Energy Reviews, Elsevier, vol. 45(C), pages 10-19.
  14. Seifert, Stefan & Cullmann, Astrid & von Hirschhausen, Christian, 2016. "Technical efficiency and CO2 reduction potentials — An analysis of the German electricity and heat generating sector," Energy Economics, Elsevier, vol. 56(C), pages 9-19.
  15. Lee, Boon L. & Wilson, Clevo & Simshauser, Paul & Majiwa, Eucabeth, 2021. "Deregulation, efficiency and policy determination: An analysis of Australia's electricity distribution sector," Energy Economics, Elsevier, vol. 98(C).
  16. Lynes, Melissa & Featherstone, Allen, 2015. "Economic Efficiency of Utility Plants Under Renewable Energy Policy," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 205674, Agricultural and Applied Economics Association.
  17. Chen, Zhongfei & Barros, Carlos Pestana & Borges, Maria Rosa, 2015. "A Bayesian stochastic frontier analysis of Chinese fossil-fuel electricity generation companies," Energy Economics, Elsevier, vol. 48(C), pages 136-144.
  18. Abdollah Hadi-Vencheh & Peter Wanke & Ali Jamshidi, 2020. "What Does Cost Structure Have to Say about Thermal Plant Energy Efficiency? The Case from Angola," Energies, MDPI, vol. 13(9), pages 1-25, May.
  19. S You & H Yan, 2011. "A new approach in modelling undesirable output in DEA model," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 62(12), pages 2146-2156, December.
  20. Bei Gao & Zuoren Sun, 2023. "Marginal CO 2 and SO 2 Abatement Costs and Determinants of Coal-Fired Power Plants in China: Considering a Two-Stage Production System with Different Emission Reduction Approaches," Energies, MDPI, vol. 16(8), pages 1-26, April.
  21. 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.
  22. See, Kok Fong & Coelli, Tim, 2012. "An analysis of factors that influence the technical efficiency of Malaysian thermal power plants," Energy Economics, Elsevier, vol. 34(3), pages 677-685.
  23. Sözen, Adnan & Alp, Ihsan & Özdemir, Adnan, 2010. "Assessment of operational and environmental performance of the thermal power plants in Turkey by using data envelopment analysis," Energy Policy, Elsevier, vol. 38(10), pages 6194-6203, October.
  24. Sueyoshi, Toshiyuki & Goto, Mika, 2011. "Operational synergy in the US electric utility industry under an influence of deregulation policy: A linkage to financial performance and corporate value," Energy Policy, Elsevier, vol. 39(2), pages 699-713, February.
  25. Tim Coelli & Denis Lawrence (ed.), 2006. "Performance Measurement and Regulation of Network Utilities," Books, Edward Elgar Publishing, number 3801.
  26. Del Bo, Chiara F., 2013. "FDI spillovers at different levels of industrial and spatial aggregation: Evidence from the electricity sector," Energy Policy, Elsevier, vol. 61(C), pages 1490-1502.
  27. Seifert, Stefan, 2015. "Productivity Growth and its Sources - A StoNED Metafrontier Analyis of the German Electricity Generating Sector," VfS Annual Conference 2015 (Muenster): Economic Development - Theory and Policy 112975, Verein für Socialpolitik / German Economic Association.
  28. Sueyoshi, Toshiyuki & Goto, Mika, 2010. "Should the US clean air act include CO2 emission control?: Examination by data envelopment analysis," Energy Policy, Elsevier, vol. 38(10), pages 5902-5911, October.
  29. Stefan Seifert & Astrid Cullmann & Christian von Hirschhausen, 2014. "Technical Efficiency and CO2 Reduction Potentials: An Analysis of the German Electricity Generating Sector," Discussion Papers of DIW Berlin 1426, DIW Berlin, German Institute for Economic Research.
  30. Liu, C.H. & Lin, Sue J. & Lewis, Charles, 2010. "Evaluation of thermal power plant operational performance in Taiwan by data envelopment analysis," Energy Policy, Elsevier, vol. 38(2), pages 1049-1058, February.
  31. Sueyoshi, Toshiyuki & Goto, Mika & Ueno, Takahiro, 2010. "Performance analysis of US coal-fired power plants by measuring three DEA efficiencies," Energy Policy, Elsevier, vol. 38(4), pages 1675-1688, April.
  32. Vu, Khuong & Hartley, Kris, 2022. "Effects of digital transformation on electricity sector growth and productivity: A study of thirteen industrialized economies," Utilities Policy, Elsevier, vol. 74(C).
  33. Wei, Yi-Ming & Liao, Hua & Fan, Ying, 2007. "An empirical analysis of energy efficiency in China's iron and steel sector," Energy, Elsevier, vol. 32(12), pages 2262-2270.
  34. Eguchi, Shogo & Takayabu, Hirotaka & Lin, Chen, 2021. "Sources of inefficient power generation by coal-fired thermal power plants in China: A metafrontier DEA decomposition approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 138(C).
  35. Shermeh, H. Ebrahimzadeh & Najafi, S.E. & Alavidoost, M.H., 2016. "A novel fuzzy network SBM model for data envelopment analysis: A case study in Iran regional power companies," Energy, Elsevier, vol. 112(C), pages 686-697.
  36. Zhang, Chunhong & Liu, Haiying & Bressers, Hans Th.A. & Buchanan, Karen S., 2011. "Productivity growth and environmental regulations - accounting for undesirable outputs: Analysis of China's thirty provincial regions using the Malmquist–Luenberger index," Ecological Economics, Elsevier, vol. 70(12), pages 2369-2379.
  37. Du, Juan & Chen, Yao & Huang, Ying, 2018. "A Modified Malmquist-Luenberger Productivity Index: Assessing Environmental Productivity Performance in China," European Journal of Operational Research, Elsevier, vol. 269(1), pages 171-187.
  38. Ogunrinde, Olawale & Shittu, Ekundayo, 2023. "Efficiency and productivity of renewable energy technologies: Evidence from U.S. investor-owned utilities across regional markets," Utilities Policy, Elsevier, vol. 82(C).
  39. Maradin Dario & Cerovic Ljerka, 2014. "Possibilities of Applying the DEA Method in the Assessment of Efficiency of Companies in the Electric Power Industry: Review of Wind Energy Companies," International Journal of Energy Economics and Policy, Econjournals, vol. 4(3), pages 320-326.
  40. Barros, Carlos Pestana & Wanke, Peter, 2017. "Efficiency in Angolan thermal power plants: Evidence from cost structure and pollutant emissions," Energy, Elsevier, vol. 130(C), pages 129-143.
  41. Zeng, Ming & Yang, Yongqi & Fan, Qiannan & Liu, Yingxin & Zou, Zhuojun, 2015. "Coordination between clean energy generation and thermal power generation under the policy of “direct power-purchase for large users” in China," Utilities Policy, Elsevier, vol. 33(C), pages 10-22.
  42. Wanke, Peter & Barros, C.P. & Figueiredo, Otávio, 2016. "Efficiency and productive slacks in urban transportation modes: A two-stage SDEA-Beta Regression approach," Utilities Policy, Elsevier, vol. 41(C), pages 31-39.
  43. Wang, Ran & Cheng, Jinhua & Zhu, Yali & Lu, Peixin, 2017. "Evaluation on the coupling coordination of resources and environment carrying capacity in Chinese mining economic zones," Resources Policy, Elsevier, vol. 53(C), pages 20-25.
  44. Lau, Kwok Hung, 2013. "Measuring distribution efficiency of a retail network through data envelopment analysis," International Journal of Production Economics, Elsevier, vol. 146(2), pages 598-611.
  45. Polemis, Michael L. & Fafaliou, Irene, 2015. "Electricity regulation and FDIs spillovers in the OECD: A panel data econometric approach," The Journal of Economic Asymmetries, Elsevier, vol. 12(2), pages 110-123.
  46. Amritpal Singh Dhillon & Hardik Vachharajani, 2020. "Productivity Analysis of Coal-fired Thermal Power Plants in India Using Malmquist Index Approach," Global Business Review, International Management Institute, vol. 21(6), pages 1338-1353, December.
  47. Shih-Heng Yu & Yu Gao & Yih-Chearng Shiue, 2017. "A Comprehensive Evaluation of Sustainable Development Ability and Pathway for Major Cities in China," Sustainability, MDPI, vol. 9(8), pages 1-15, August.
  48. Li, Ming-Jia & Tao, Wen-Quan, 2017. "Review of methodologies and polices for evaluation of energy efficiency in high energy-consuming industry," Applied Energy, Elsevier, vol. 187(C), pages 203-215.
  49. Fallahi, Alireza & Ebrahimi, Reza & Ghaderi, S.F., 2011. "Measuring efficiency and productivity change in power electric generation management companies by using data envelopment analysis: A case study," Energy, Elsevier, vol. 36(11), pages 6398-6405.
  50. Gharneh, Naser Shams & Nabavieh, Alireza & Gholamiangonabadi, Davoud & Alimoradi, Mohammad, 2014. "Productivity change and its determinants: Application of the Malmquist index with bootstrapping in Iranian steam power plants," Utilities Policy, Elsevier, vol. 31(C), pages 114-120.
  51. Yung-Hsiang Lu & Ku-Hsieh Chen & Jen-Chi Cheng & Chih-Chun Chen & Sian-Yuan Li, 2019. "Analysis of Environmental Productivity on Fossil Fuel Power Plants in the U.S," Sustainability, MDPI, vol. 11(24), pages 1-27, December.
  52. Hampf, Benjamin, 2017. "Rational inefficiency, adjustment costs and sequential technologies," European Journal of Operational Research, Elsevier, vol. 263(3), pages 1095-1108.
  53. Sueyoshi, Toshiyuki & Goto, Mika, 2012. "Efficiency-based rank assessment for electric power industry: A combined use of Data Envelopment Analysis (DEA) and DEA-Discriminant Analysis (DA)," Energy Economics, Elsevier, vol. 34(3), pages 634-644.
  54. Zhou, Yan & Xing, Xinpeng & Fang, Kuangnan & Liang, Dapeng & Xu, Chunlin, 2013. "Environmental efficiency analysis of power industry in China based on an entropy SBM model," Energy Policy, Elsevier, vol. 57(C), pages 68-75.
  55. Li, Feng & Zhang, Danlu & Zhang, Jinyu & Kou, Gang, 2022. "Measuring the energy production and utilization efficiency of Chinese thermal power industry with the fixed-sum carbon emission constraint," International Journal of Production Economics, Elsevier, vol. 252(C).
  56. Li, Hong-Zhou & Tian, Xian-Liang & Zou, Tao, 2015. "Impact analysis of coal-electricity pricing linkage scheme in China based on stochastic frontier cost function," Applied Energy, Elsevier, vol. 151(C), pages 296-305.
  57. Wang, Yi-Shu & Xie, Bai-Chen & Shang, Li-Feng & Li, Wen-Hua, 2013. "Measures to improve the performance of China’s thermal power industry in view of cost efficiency," Applied Energy, Elsevier, vol. 112(C), pages 1078-1086.
  58. Yongzhong Jiang & Xueli Chen & Vivian Valdmanis & Tomas Baležentis, 2019. "Evaluating Economic and Environmental Performance of the Chinese Industry Sector," Sustainability, MDPI, vol. 11(23), pages 1-17, November.
  59. Duygu CEYLAN & E. NUR OZKAN GUNAY, 2010. "Energy Efficiency Trends and Policies: Cross-Country Comparison in Europe," EcoMod2010 259600038, EcoMod.
  60. Chu Wei & Jinlan Ni & Manhong Shen, 2009. "Empirical Analysis of Provincial Energy Efficiency in China," China & World Economy, Institute of World Economics and Politics, Chinese Academy of Social Sciences, vol. 17(5), pages 88-103, September.
  61. Azadeh, A. & Ghaderi, S.F. & Anvari, M. & Saberi, M., 2007. "Performance assessment of electric power generations using an adaptive neural network algorithm," Energy Policy, Elsevier, vol. 35(6), pages 3155-3166, June.
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