IDEAS home Printed from https://ideas.repec.org/a/eee/eneeco/v86y2020ics014098831930458x.html
   My bibliography  Save this article

The role of feed-in tariff in the curtailment of wind power in China

Author

Listed:
  • Xia, Fang
  • Lu, Xi
  • Song, Feng

Abstract

While China's wind power initiative has experienced rapid growth, serious curtailment issues persist. Though some studies have investigated this matter, we explain this phenomenon from the novel perspective of excess capacity. We first set up a theoretical model to explore the mechanism behind excess investment and find that the ‘sticky’ feed-in tariff (FIT) and declining costs of wind power generate high mark-up for wind power investors, leading to a higher probability of excessive investment. The theoretical prediction is empirically tested with a probit and tobit model using provincial-level data between 2009 and 2016. The estimation results show that a 0.1 yuan increase in the mark-up leads to a 2%–3% increase in the rate of curtailed wind power. Based on the estimation results, we simulate several scenarios to assess quantitatively how an improved policy design could have alleviated the curtailment issue. Simply increasing the frequency of the FIT rate adjustment while maintaining the same subsidy reduction level between 2009 and 2016 could have reduced the curtailed wind power by 23 to 27 billion kwh, accounting for 15%–17% of actual curtailed wind power. If the policy were better designed to reflect the declining trend of wind power costs more accurately, the curtailment rates could have been further reduced by 2.81%, corresponding to a reduction in wasted wind energy of >43 billion kwh (or 28% of actual curtailment). Although accepting curtailment for a certain period could help to accelerate renewable energy deployment, our analysis shows that the FIT policy design could have been improved to reduce welfare loss. These findings can not only assist the Chinese government in framing effective policies, but also may be applied to other emerging technologies or industries that require subsidy support.

Suggested Citation

  • Xia, Fang & Lu, Xi & Song, Feng, 2020. "The role of feed-in tariff in the curtailment of wind power in China," Energy Economics, Elsevier, vol. 86(C).
  • Handle: RePEc:eee:eneeco:v:86:y:2020:i:c:s014098831930458x
    DOI: 10.1016/j.eneco.2019.104661
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S014098831930458X
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.eneco.2019.104661?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Grau, Thilo, 2014. "Responsive feed-in tariff adjustment to dynamic technology development," Energy Economics, Elsevier, vol. 44(C), pages 36-46.
    2. Pechan, A., 2017. "Where do all the windmills go? Influence of the institutional setting on the spatial distribution of renewable energy installation," Energy Economics, Elsevier, vol. 65(C), pages 75-86.
    3. Nils May and Karsten Neuhoff, 2021. "Financing Power: Impacts of Energy Policies in Changing Regulatory Environments," The Energy Journal, International Association for Energy Economics, vol. 0(Number 4).
    4. Williams, Eric & Hittinger, Eric & Carvalho, Rexon & Williams, Ryan, 2017. "Wind power costs expected to decrease due to technological progress," Energy Policy, Elsevier, vol. 106(C), pages 427-435.
    5. Ciarreta, Aitor & Espinosa, Maria Paz & Pizarro-Irizar, Cristina, 2017. "Optimal regulation of renewable energy: A comparison of Feed-in Tariffs and Tradable Green Certificates in the Spanish electricity system," Energy Economics, Elsevier, vol. 67(C), pages 387-399.
    6. Qiu, Yueming & Anadon, Laura D., 2012. "The price of wind power in China during its expansion: Technology adoption, learning-by-doing, economies of scale, and manufacturing localization," Energy Economics, Elsevier, vol. 34(3), pages 772-785.
    7. Xi Lu & Michael B. McElroy & Wei Peng & Shiyang Liu & Chris P. Nielsen & Haikun Wang, 2016. "Challenges faced by China compared with the US in developing wind power," Nature Energy, Nature, vol. 1(6), pages 1-6, June.
    8. Zhen Xu & Jianbai Huang & Feitao Jiang, 2017. "Subsidy competition, industrial land price distortions and overinvestment: empirical evidence from China’s manufacturing enterprises," Applied Economics, Taylor & Francis Journals, vol. 49(48), pages 4851-4870, October.
    9. Pindyck, Robert S, 1988. "Irreversible Investment, Capacity Choice, and the Value of the Firm," American Economic Review, American Economic Association, vol. 78(5), pages 969-985, December.
    10. Song, Yanqin & Berrah, Noureddine, 2013. "China: west or east wind -- getting the incentives right," Policy Research Working Paper Series 6486, The World Bank.
    11. Pei, Wei & Chen, Yanning & Sheng, Kun & Deng, Wei & Du, Yan & Qi, Zhiping & Kong, Li, 2015. "Temporal-spatial analysis and improvement measures of Chinese power system for wind power curtailment problem," Renewable and Sustainable Energy Reviews, Elsevier, vol. 49(C), pages 148-168.
    12. Xia, Fang & Song, Feng, 2017. "The uneven development of wind power in China: Determinants and the role of supporting policies," Energy Economics, Elsevier, vol. 67(C), pages 278-286.
    13. Hongyu Long & Ruilin Xu & Jianjun He, 2011. "Incorporating the Variability of Wind Power with Electric Heat Pumps," Energies, MDPI, vol. 4(10), pages 1-15, October.
    14. Jeffrey M Wooldridge, 2010. "Econometric Analysis of Cross Section and Panel Data," MIT Press Books, The MIT Press, edition 2, volume 1, number 0262232588, April.
    15. Hitaj, Claudia & Löschel, Andreas, 2019. "The impact of a feed-in tariff on wind power development in Germany," Resource and Energy Economics, Elsevier, vol. 57(C), pages 18-35.
    16. Butler, Lucy & Neuhoff, Karsten, 2008. "Comparison of feed-in tariff, quota and auction mechanisms to support wind power development," Renewable Energy, Elsevier, vol. 33(8), pages 1854-1867.
    17. Davidson, Carl & Deneckere, Raymond J, 1990. "Excess Capacity and Collusion," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 31(3), pages 521-541, August.
    18. May, Nils, 2017. "The impact of wind power support schemes on technology choices," Energy Economics, Elsevier, vol. 65(C), pages 343-354.
    19. Ritzenhofen, Ingmar & Birge, John R. & Spinler, Stefan, 2016. "The structural impact of renewable portfolio standards and feed-in tariffs on electricity markets," European Journal of Operational Research, Elsevier, vol. 255(1), pages 224-242.
    20. Yu, Yang & Li, Hong & Che, Yuyuan & Zheng, Qiongjie, 2017. "The price evolution of wind turbines in China: A study based on the modified multi-factor learning curve," Renewable Energy, Elsevier, vol. 103(C), pages 522-536.
    21. Wei, Yi-Ming & Chen, Hao & Chyong, Chi Kong & Kang, Jia-Ning & Liao, Hua & Tang, Bao-Jun, 2018. "Economic dispatch savings in the coal-fired power sector: An empirical study of China," Energy Economics, Elsevier, vol. 74(C), pages 330-342.
    22. Mundlak, Yair, 1978. "On the Pooling of Time Series and Cross Section Data," Econometrica, Econometric Society, vol. 46(1), pages 69-85, January.
    23. Richard Brahm, 1995. "National targeting policies, high‐technology industries, and excessive competition," Strategic Management Journal, Wiley Blackwell, vol. 16(S1), pages 71-91.
    24. Schmidt, J. & Lehecka, G. & Gass, V. & Schmid, E., 2013. "Where the wind blows: Assessing the effect of fixed and premium based feed-in tariffs on the spatial diversification of wind turbines," Energy Economics, Elsevier, vol. 40(C), pages 269-276.
    25. Dong, Changgui & Qi, Ye & Dong, Wenjuan & Lu, Xi & Liu, Tianle & Qian, Shuai, 2018. "Decomposing driving factors for wind curtailment under economic new normal in China," Applied Energy, Elsevier, vol. 217(C), pages 178-188.
    26. Kahrl, Fredrich & Williams, James H. & Hu, Junfeng, 2013. "The political economy of electricity dispatch reform in China," Energy Policy, Elsevier, vol. 53(C), pages 361-369.
    27. Zifa Liu & Wenhua Zhang & Changhong Zhao & Jiahai Yuan, 2015. "The Economics of Wind Power in China and Policy Implications," Energies, MDPI, vol. 8(2), pages 1-18, February.
    28. 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.
    29. Zhong, Haiwang & Xia, Qing & Chen, Yuguo & Kang, Chongqing, 2015. "Energy-saving generation dispatch toward a sustainable electric power industry in China," Energy Policy, Elsevier, vol. 83(C), pages 14-25.
    30. Zhao, Xiaoli & Wang, Feng & Wang, Mei, 2012. "Large-scale utilization of wind power in China: Obstacles of conflict between market and planning," Energy Policy, Elsevier, vol. 48(C), pages 222-232.
    31. Bird, Lori & Lew, Debra & Milligan, Michael & Carlini, E. Maria & Estanqueiro, Ana & Flynn, Damian & Gomez-Lazaro, Emilio & Holttinen, Hannele & Menemenlis, Nickie & Orths, Antje & Eriksen, Peter Børr, 2016. "Wind and solar energy curtailment: A review of international experience," Renewable and Sustainable Energy Reviews, Elsevier, vol. 65(C), pages 577-586.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Song, Feng & Bi, De & Wei, Chu, 2019. "Market segmentation and wind curtailment: An empirical analysis," Energy Policy, Elsevier, vol. 132(C), pages 831-838.
    2. Yu, Chin-Hsien & Wu, Xiuqin & Lee, Wen-Chieh & Zhao, Jinsong, 2021. "Resource misallocation in the Chinese wind power industry: The role of feed-in tariff policy," Energy Economics, Elsevier, vol. 98(C).
    3. Qiao, Qiao & Zeng, Xianhai & Lin, Boqiang, 2024. "Mitigating wind curtailment risk in China: The impact of subsidy reduction policy," Applied Energy, Elsevier, vol. 368(C).
    4. Engelhorn, Thorsten & Müsgens, Felix, 2021. "Why is Germany’s energy transition so expensive? Quantifying the costs of wind-energy decentralisation," Resource and Energy Economics, Elsevier, vol. 65(C).
    5. Tu, Qiang & Betz, Regina & Mo, Jianlei & Fan, Ying & Liu, Yu, 2019. "Achieving grid parity of wind power in China – Present levelized cost of electricity and future evolution," Applied Energy, Elsevier, vol. 250(C), pages 1053-1064.
    6. Qi, Ye & Dong, Wenjuan & Dong, Changgui & Huang, Caiwei, 2019. "Understanding institutional barriers for wind curtailment in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 105(C), pages 476-486.
    7. Xia, Fang & Song, Feng, 2017. "The uneven development of wind power in China: Determinants and the role of supporting policies," Energy Economics, Elsevier, vol. 67(C), pages 278-286.
    8. Song, Feng & Yu, Zichao & Zhuang, Weiting & Lu, Ao, 2021. "The institutional logic of wind energy integration: What can China learn from the United States to reduce wind curtailment?," Renewable and Sustainable Energy Reviews, Elsevier, vol. 137(C).
    9. Chen, Hao & Cui, Jian & Song, Feng & Jiang, Zhigao, 2022. "Evaluating the impacts of reforming and integrating China's electricity sector," Energy Economics, Elsevier, vol. 108(C).
    10. Cui, Qi & He, Ling & Han, Guoyi & Chen, Hao & Cao, Juanjuan, 2020. "Review on climate and water resource implications of reducing renewable power curtailment in China: A nexus perspective," Applied Energy, Elsevier, vol. 267(C).
    11. Paul Simshauser & Farhad Billimoria & Craig Rogers, 2021. "Optimising VRE plant capacity in Renewable Energy Zones," Working Papers EPRG2121, Energy Policy Research Group, Cambridge Judge Business School, University of Cambridge.
    12. Chen, Hao & Gao, Xin-Ya & Liu, Jian-Yu & Zhang, Qian & Yu, Shiwei & Kang, Jia-Ning & Yan, Rui & Wei, Yi-Ming, 2020. "The grid parity analysis of onshore wind power in China: A system cost perspective," Renewable Energy, Elsevier, vol. 148(C), pages 22-30.
    13. Meus, Jelle & De Vits, Sarah & S'heeren, Nele & Delarue, Erik & Proost, Stef, 2021. "Renewable electricity support in perfect markets: Economic incentives under diverse subsidy instruments," Energy Economics, Elsevier, vol. 94(C).
    14. Chen, Hao & Chen, Jiachuan & Han, Guoyi & Cui, Qi, 2022. "Winding down the wind power curtailment in China: What made the difference?," Renewable and Sustainable Energy Reviews, Elsevier, vol. 167(C).
    15. Simshauser, Paul, 2021. "Renewable Energy Zones in Australia's National Electricity Market," Energy Economics, Elsevier, vol. 101(C).
    16. Simshauser, Paul & Billimoria, Farhad & Rogers, Craig, 2022. "Optimising VRE capacity in Renewable Energy Zones," Energy Economics, Elsevier, vol. 113(C).
    17. Elia, A. & Taylor, M. & Ó Gallachóir, B. & Rogan, F., 2020. "Wind turbine cost reduction: A detailed bottom-up analysis of innovation drivers," Energy Policy, Elsevier, vol. 147(C).
    18. Zhang, Xinshuo & Huang, Weibin & Chen, Shijun & Xie, Diya & Liu, Dexu & Ma, Guangwen, 2020. "Grid–source coordinated dispatching based on heterogeneous energy hybrid power generation," Energy, Elsevier, vol. 205(C).
    19. Wang, Yunfei & Li, Jinke & O'Leary, Nigel & Shao, Jing, 2024. "Banding: A game changer in the Renewables Obligation scheme in the United Kingdom," Energy Economics, Elsevier, vol. 130(C).
    20. Li, Mingquan & Patiño-Echeverri, Dalia & Zhang, Junfeng (Jim), 2019. "Policies to promote energy efficiency and air emissions reductions in China's electric power generation sector during the 11th and 12th five-year plan periods: Achievements, remaining challenges, and ," Energy Policy, Elsevier, vol. 125(C), pages 429-444.

    More about this item

    Keywords

    Wind curtailment; Excess capacity; Feed-in tariff; Wind power; Renewable energy policy;
    All these keywords.

    JEL classification:

    • Q42 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Alternative Energy Sources
    • Q48 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Government Policy
    • R11 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Regional Economic Activity: Growth, Development, Environmental Issues, and Changes

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:eneeco:v:86:y:2020:i:c:s014098831930458x. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/eneco .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.