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Efficiency and Productivity of China's Thermal Power Generation

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  • Pun-Lee Lam
  • Alice Shiu

Abstract

In China, the State Power Corporation (SPC) dominated the electric power sector. Our results from the data envelopment analysis (DEA) approach show that the total factor productivity (TFP) growth between 1995 and 2000 is 2.1 percent per year on average. Technological change accounts for almost all the TFP growth. Municipalities and coastal provinces have achieved higher technical efficiency and TFP growth during the period under study. Fuel efficiency and capacity utilization rate are significant factors affecting technical efficiency of power generation. Provinces and autonomous regions not dominated by SPC have achieved higher levels of technical efficiency.

Suggested Citation

  • Pun-Lee Lam & Alice Shiu, 2004. "Efficiency and Productivity of China's Thermal Power Generation," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 24(1), pages 73-93, February.
    • Handle: RePEc:kap:revind:v:24:y:2004:i:1:p:73-93
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    Cited by:

    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. 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.
    3. Zhang, Ning & Jiang, Xue-Feng, 2019. "The effect of environmental policy on Chinese firm's green productivity and shadow price: A metafrontier input distance function approach," Technological Forecasting and Social Change, Elsevier, vol. 144(C), pages 129-136.
    4. Hsu, Yi-Chung & Lee, Chien-Chiang & Lee, Chi-Chuan, 2008. "Revisited: Are shocks to energy consumption permanent or temporary? New evidence from a panel SURADF approach," Energy Economics, Elsevier, vol. 30(5), pages 2314-2330, September.
    5. 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.
    6. See, Kok Fong & Coelli, Tim, 2014. "Total factor productivity analysis of a single vertically integrated electricity utility in Malaysia using a Törnqvist index method," Utilities Policy, Elsevier, vol. 28(C), pages 62-72.
    7. Hongliang Yang & Michael Pollitt, 2007. "Distinguishing Weak and Strong Disposability among Undesirable Outputs in DEA: The Example of the Environmental Efficiency of Chinese Coal-Fired Power Plants," Working Papers EPRG 0717, Energy Policy Research Group, Cambridge Judge Business School, University of Cambridge.
    8. 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.
    9. 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.
    10. Zhao, Xiaoli & Ma, Chunbo, 2013. "Deregulation, vertical unbundling and the performance of China's large coal-fired power plants," Energy Economics, Elsevier, vol. 40(C), pages 474-483.
    11. Li, Gao & Ruonan, Li & Yingdan, Mei & Xiaoli, Zhao, 2022. "Improve technical efficiency of China's coal-fired power enterprises: Taking a coal-fired-withdrawl context," Energy, Elsevier, vol. 252(C).
    12. Ghosh, Ranjan & Kathuria, Vinish, 2016. "The effect of regulatory governance on efficiency of thermal power generation in India: A stochastic frontier analysis," Energy Policy, Elsevier, vol. 89(C), pages 11-24.
    13. Jin-Peng Liu & Qian-Ru Yang & Lin He, 2017. "Total-Factor Energy Efficiency (TFEE) Evaluation on Thermal Power Industry with DEA, Malmquist and Multiple Regression Techniques," Energies, MDPI, vol. 10(7), pages 1-14, July.
    14. 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.
    15. Stefan Seifert, 2016. "Semi-Parametric Measures of Scale Characteristics of German Natural Gas-Fired Electricity Generation," Discussion Papers of DIW Berlin 1571, DIW Berlin, German Institute for Economic Research.
    16. Tim Coelli & Denis Lawrence (ed.), 2006. "Performance Measurement and Regulation of Network Utilities," Books, Edward Elgar Publishing, number 3801.
    17. Ma, Chunbo & Zhao, Xiaoli, 2015. "China's electricity market restructuring and technology mandates: Plant-level evidence for changing operational efficiency," Energy Economics, Elsevier, vol. 47(C), pages 227-237.
    18. 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).
    19. Iglesias-Gómez, Guillermo & Seijas Díaz, A., 2008. "Evaluación de la eficiencia productiva de los parques eólicos gallegos," Estudios de Economia Aplicada, Estudios de Economia Aplicada, vol. 26, pages 167-194, Septiembr.
    20. 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.
    21. Lin, Boqiang & Yang, Lisha, 2014. "Efficiency effect of changing investment structure on China׳s power industry," Renewable and Sustainable Energy Reviews, Elsevier, vol. 39(C), pages 403-411.
    22. 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.
    23. Hwang, Won-Sik & Lee, Jeong-Dong, 2013. "Profitability and productivity changes in the Korean electricity industry," Energy Policy, Elsevier, vol. 52(C), pages 531-542.
    24. Fleishman, Rachel & Alexander, Rob & Bretschneider, Stuart & Popp, David, 2009. "Does regulation stimulate productivity? The effect of air quality policies on the efficiency of US power plants," Energy Policy, Elsevier, vol. 37(11), pages 4574-4582, November.

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