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Determinants of overcapacity in China’s renewable energy industry: Evidence from wind, photovoltaic, and biomass energy enterprises

Author

Listed:
  • Yu, Shiwei
  • Lu, Tingwei
  • Hu, Xing
  • Liu, Lancui
  • Wei, Yi-Ming

Abstract

This study uses data on 116 listed Chinese equipment manufacturing or material production enterprises in the non-hydropower renewable energy industries (i.e., wind, photovoltaic (PV), and biomass energy) to explore the determinants of overcapacity in the renewable energy industry. A data envelopment analysis model is applied to measure the overcapacity of these enterprises. Relevant data from 2008 to 2016 are regressed using a panel Tobit model with a bootstrap method and accordingly, the mechanism of overcapacity formation is identified from the perspectives of enterprises' profitability level, government subsidy, and the domestic and foreign market structures. The results show that overcapacity differs among China's non-hydropower renewable energy industries—it is the most serious in the PV industry, followed by the wind and biomass industries. Enterprise profitability, government subsidy, and market structure all significantly impact the overcapacity of the PV industry. Further, the increase in the number of policies will aggravate the overcapacity of the PV industry, but an increase in coordination degree of renewable energy industrial policies and financial support could mitigate it. Excessive government subsidy and the unbalanced market structure at home and abroad are the main reasons for the overcapacity in the wind and biomass industries, respectively. To reduce overcapacity, subsidy standards and thresholds for entering and exiting industries should be rigidly controlled by the government. In addition, PV enterprises should focus on improving enterprises' return on assets and pay more attention to domestic market demand, while biomass enterprises should actively explore overseas markets. Finally, more attention should be paid to the policies' synergy of the photovoltaic industry and its related industrial rather than the number of policies.

Suggested Citation

  • Yu, Shiwei & Lu, Tingwei & Hu, Xing & Liu, Lancui & Wei, Yi-Ming, 2021. "Determinants of overcapacity in China’s renewable energy industry: Evidence from wind, photovoltaic, and biomass energy enterprises," Energy Economics, Elsevier, vol. 97(C).
  • Handle: RePEc:eee:eneeco:v:97:y:2021:i:c:s0140988320303960
    DOI: 10.1016/j.eneco.2020.105056
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    as
    1. Yu, Shiwei & Zheng, Shuhong & Li, Xia & Li, Longxi, 2018. "China can peak its energy-related carbon emissions before 2025: Evidence from industry restructuring," Energy Economics, Elsevier, vol. 73(C), pages 91-107.
    2. Lin, Boqiang & Jiang, Zhujun, 2011. "Estimates of energy subsidies in China and impact of energy subsidy reform," Energy Economics, Elsevier, vol. 33(2), pages 273-283, March.
    3. Ray, Subhash C., 2015. "Nonparametric measures of scale economies and capacity utilization: An application to U.S. manufacturing," European Journal of Operational Research, Elsevier, vol. 245(2), pages 602-611.
    4. Shen, Guangjun & Chen, Binkai, 2017. "Zombie firms and over-capacity in Chinese manufacturing," China Economic Review, Elsevier, vol. 44(C), pages 327-342.
    5. Fare, Rolf & Grosskopf, Shawna & Kokkelenberg, Edward C, 1989. "Measuring Plant Capacity, Utilization and Technical Change: A Nonparametric Approach," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 30(3), pages 655-666, August.
    6. Sun, Honghang & Zhi, Qiang & Wang, Yibo & Yao, Qiang & Su, Jun, 2014. "China’s solar photovoltaic industry development: The status quo, problems and approaches," Applied Energy, Elsevier, vol. 118(C), pages 221-230.
    7. Yang, Qing & Hou, Xiaochao & Zhang, Lei, 2018. "Measurement of natural and cyclical excess capacity in China's coal industry," Energy Policy, Elsevier, vol. 118(C), pages 270-278.
    8. Zhang, M.M. & Zhou, P. & Zhou, D.Q., 2016. "A real options model for renewable energy investment with application to solar photovoltaic power generation in China," Energy Economics, Elsevier, vol. 59(C), pages 213-226.
    9. Choi, In, 2001. "Unit root tests for panel data," Journal of International Money and Finance, Elsevier, vol. 20(2), pages 249-272, April.
    10. Roxani Karagiannis, 2015. "A system-of-equations two-stage DEA approach for explaining capacity utilization and technical efficiency," Annals of Operations Research, Springer, vol. 227(1), pages 25-43, April.
    11. Zhang, M.M. & Zhou, D.Q. & Zhou, P. & Chen, H.T., 2017. "Optimal design of subsidy to stimulate renewable energy investments: The case of China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 71(C), pages 873-883.
    12. Zhang, Huiming & Zheng, Yu & Ozturk, U. Aytun & Li, Shanjun, 2016. "The impact of subsidies on overcapacity: A comparison of wind and solar energy companies in China," Energy, Elsevier, vol. 94(C), pages 821-827.
    13. Yuan, Jiahai & Li, Peng & Wang, Yang & Liu, Qian & Shen, Xinyi & Zhang, Kai & Dong, Liansai, 2016. "Coal power overcapacity and investment bubble in China during 2015–2020," Energy Policy, Elsevier, vol. 97(C), pages 136-144.
    14. Wang, Delu & Wang, Yadong & Song, Xuefeng & Liu, Yun, 2018. "Coal overcapacity in China: Multiscale analysis and prediction," Energy Economics, Elsevier, vol. 70(C), pages 244-257.
    15. Zeng, Ming & Duan, Jinhui & Wang, Liang & Zhang, Yingjie & Xue, Song, 2015. "Orderly grid connection of renewable energy generation in China: Management mode, existing problems and solutions," Renewable and Sustainable Energy Reviews, Elsevier, vol. 41(C), pages 14-28.
    16. Zhao, Xiaoli & Yao, Jin & Sun, Chuyu & Pan, Wengeng, 2019. "Impacts of carbon tax and tradable permits on wind power investment in China," Renewable Energy, Elsevier, vol. 135(C), pages 1386-1399.
    17. Boccard, Nicolas, 2009. "Capacity factor of wind power realized values vs. estimates," Energy Policy, Elsevier, vol. 37(7), pages 2679-2688, July.
    18. Zeng, Shihong & Jiang, Chunxia & Ma, Chen & Su, Bin, 2018. "Investment efficiency of the new energy industry in China," Energy Economics, Elsevier, vol. 70(C), pages 536-544.
    19. Yu, Shiwei & Zhang, Junjie & Zheng, Shuhong & Sun, Han, 2015. "Provincial carbon intensity abatement potential estimation in China: A PSO–GA-optimized multi-factor environmental learning curve method," Energy Policy, Elsevier, vol. 77(C), pages 46-55.
    20. Wang, Yong-hua & Luo, Guo-liang & Guo, Yi-wei, 2014. "Why is there overcapacity in China's PV industry in its early growth stage?," Renewable Energy, Elsevier, vol. 72(C), pages 188-194.
    21. Yu, Shiwei & Zheng, Yali & Li, Longxi, 2019. "A comprehensive evaluation of the development and utilization of China's regional renewable energy," Energy Policy, Elsevier, vol. 127(C), pages 73-86.
    22. Harris, Richard D. F. & Tzavalis, Elias, 1999. "Inference for unit roots in dynamic panels where the time dimension is fixed," Journal of Econometrics, Elsevier, vol. 91(2), pages 201-226, August.
    23. Zhang, Yanfang & Zhang, Ming & Liu, Yue & Nie, Rui, 2017. "Enterprise investment, local government intervention and coal overcapacity: The case of China," Energy Policy, Elsevier, vol. 101(C), pages 162-169.
    24. Kamien, Morton I & Schwartz, Nancy L, 1972. "Uncertain Entry and Excess Capacity," American Economic Review, American Economic Association, vol. 62(5), pages 918-927, December.
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    7. Yan, Chen & Ji, Yaxing & Chen, Rui, 2023. "Research on the mechanism of selective industrial policies on enterprises' innovation performance ——Evidence from China's photovoltaic industry," Renewable Energy, Elsevier, vol. 215(C).
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    More about this item

    Keywords

    Overcapacity; Renewable energy industry; Tobit model; Market supply and demand structure; Subsidy;
    All these keywords.

    JEL classification:

    • O11 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Macroeconomic Analyses of Economic Development
    • L0 - Industrial Organization - - General
    • Q43 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy and the Macroeconomy
    • Q52 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Pollution Control Adoption and Costs; Distributional Effects; Employment Effects
    • Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming

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