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Energy Cost Performance of Thermal Power Industry in China Considering Regional Heterogeneity: A Meta-Frontier Cost Malmquist Productivity Decomposition Approach

Author

Listed:
  • Zhigang Zhu

    (School of Management, Zhejiang University of Technology, Zhejiang 310014, China)

  • Xuping Zhang

    (China Academy of Financial Research, Zhejiang University of Finance and Economics, Zhejiang 310018, China)

  • Yujia Wang

    (China Academy of Financial Research, Zhejiang University of Finance and Economics, Zhejiang 310018, China)

  • Xiang Chen

    (China Academy of Financial Research, Zhejiang University of Finance and Economics, Zhejiang 310018, China)

Abstract

Since thermal power generation is still one of the main sources of carbon emissions in China, the economic benefits and productivity of the thermal power generation industry have been seriously affected in recent years with the increasingly strict environmental regulations and restrictions on carbon emissions, as well as by the sharp fluctuations of coal prices. Therefore, it has been an important issue to improve the productivity performance of the thermal power industry. Due to the regional heterogeneity among different regions of China, we introduced a meta-frontier framework into the energy cost productivity model to develop a meta-energy cost productivity model. The energy cost gap between the group-specific and meta-frontiers was also utilized to assess the convergence rate of the group-specific frontier to the meta-frontier. The estimated results present that the energy cost efficiency of the eastern region outperformed that of the other two regions, and the cost Malmquist (CM) productivity of these three regions all showed positive growth, in which the progress of allocative efficiency and price effect were the main driving factors. Additionally, the central and western regions displayed the convergence of group-specific CM productivity towards the meta-frontier.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:12:p:6823-:d:576256
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    as
    1. Chang, Tzu-Pu & Hu, Jin-Li, 2010. "Total-factor energy productivity growth, technical progress, and efficiency change: An empirical study of China," Applied Energy, Elsevier, vol. 87(10), pages 3262-3270, October.
    2. Feng, Chao & Huang, Jian-Bai & Wang, Miao, 2018. "Analysis of green total-factor productivity in China's regional metal industry: A meta-frontier approach," Resources Policy, Elsevier, vol. 58(C), pages 219-229.
    3. Assaf, A. George & Barros, Carlos Pestana & Managi, Shunsuke, 2011. "Cost efficiency of Japanese steam power generation companies: A Bayesian comparison of random and fixed frontier models," Applied Energy, Elsevier, vol. 88(4), pages 1441-1446, April.
    4. Maniadakis, Nikolaos & Thanassoulis, Emmanuel, 2004. "A cost Malmquist productivity index," European Journal of Operational Research, Elsevier, vol. 154(2), pages 396-409, April.
    5. Lam, Pun-Lee, 2004. "Pricing of electricity in China," Energy, Elsevier, vol. 29(2), pages 287-300.
    6. 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.
    7. Abbott, Malcolm, 2006. "The productivity and efficiency of the Australian electricity supply industry," Energy Economics, Elsevier, vol. 28(4), pages 444-454, July.
    8. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    9. Fare, Rolf & Shawna Grosskopf & Mary Norris & Zhongyang Zhang, 1994. "Productivity Growth, Technical Progress, and Efficiency Change in Industrialized Countries," American Economic Review, American Economic Association, vol. 84(1), pages 66-83, March.
    10. Yu, Bolin & Fang, Debin & Dong, Feng, 2020. "Study on the evolution of thermal power generation and its nexus with economic growth: Evidence from EU regions," Energy, Elsevier, vol. 205(C).
    11. N/A, 2004. "Index for 2004," European Union Politics, , vol. 5(4), pages 511-512, December.
    12. 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.
    13. Zhao, Xiaoli & Lyon, Thomas P. & Song, Cui, 2012. "Lurching towards markets for power: China’s electricity policy 1985–2007," Applied Energy, Elsevier, vol. 94(C), pages 148-155.
    14. Kumar, Surender, 2006. "Environmentally sensitive productivity growth: A global analysis using Malmquist-Luenberger index," Ecological Economics, Elsevier, vol. 56(2), pages 280-293, February.
    15. 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.
    16. Caves, Douglas W & Christensen, Laurits R & Diewert, W Erwin, 1982. "The Economic Theory of Index Numbers and the Measurement of Input, Output, and Productivity," Econometrica, Econometric Society, vol. 50(6), pages 1393-1414, November.
    17. Olatubi, Williams O. & Dismukes, David E., 2000. "A data envelopment analysis of the levels and determinants of coal-fired electric power generation performance," Utilities Policy, Elsevier, vol. 9(2), pages 47-59, June.
    18. 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.
    19. Kaneko, Shinji & Fujii, Hidemichi & Sawazu, Naoya & Fujikura, Ryo, 2010. "Financial allocation strategy for the regional pollution abatement cost of reducing sulfur dioxide emissions in the thermal power sector in China," Energy Policy, Elsevier, vol. 38(5), pages 2131-2141, May.
    20. Lam, Pun-Lee & Shiu, Alice, 2001. "A data envelopment analysis of the efficiency of China's thermal power generation," Utilities Policy, Elsevier, vol. 10(2), pages 75-83, June.
    21. 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).
    22. Yunos, Jamaluddin Mohd & Hawdon, David, 1997. "The efficiency of the National Electricity Board in Malaysia: An intercountry comparison using DEA," Energy Economics, Elsevier, vol. 19(2), pages 255-269, May.
    23. Chen, Xiang, 2020. "Exploring the sources of financial performance in Chinese banks: A comparative analysis of different types of banks," The North American Journal of Economics and Finance, Elsevier, vol. 51(C).
    24. Pastor, Jesus T. & Lovell, C.A. Knox, 2005. "A global Malmquist productivity index," Economics Letters, Elsevier, vol. 88(2), pages 266-271, August.
    25. 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.
    26. Yu, William & Jamasb, Tooraj & Pollitt, Michael, 2009. "Does weather explain cost and quality performance? An analysis of UK electricity distribution companies," Energy Policy, Elsevier, vol. 37(11), pages 4177-4188, November.
    27. Ou, Xunmin & Xiaoyu, Yan & Zhang, Xiliang, 2011. "Life-cycle energy consumption and greenhouse gas emissions for electricity generation and supply in China," Applied Energy, Elsevier, vol. 88(1), pages 289-297, January.
    28. Fare, Rolf & Grosskopf, Shawna & Yaisawarng, Suthathip & Li, Sung Ko & Wang, Zhaoping, 1990. "Productivity growth in Illinois electric utilities," Resources and Energy, Elsevier, vol. 12(4), pages 383-398, December.
    29. Ke Wang & Jieming Zhang & Yi-Ming Wei, 2017. "Operational and environmental performance in China¡¯s thermal power industry: Taking an effectiveness measure as complement to an efficiency measure," CEEP-BIT Working Papers 100, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
    30. 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.
    31. 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.
    32. Fare, Rolf & Grosskopf, Shawna & Logan, James, 1983. "The relative efficiency of Illinois electric utilities," Resources and Energy, Elsevier, vol. 5(4), pages 349-367, December.
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