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Feed-In Tariff for Onshore Wind Power in China

Author

Listed:
  • Jiahai Yuan
  • Chunning Na
  • Yan Xu
  • Changhong Zhao

Abstract

This article estimated the cost of onshore wind power in China by employing levelized cost of the electricity model. The analytical framework has enough precision for appraising the effectiveness of feed-in tariff (FIT) policy. Results show that the existing FIT policy is attractive to investors, but serious curtailment and turbine quality issues could make wind power unprofitable. Meanwhile, rapid learning-by-doing in turbine price has substantially lowered the cost of wind power and made it competitive with coal power in 2013. Our estimate results indicate that it is necessary and the right time to reform the FIT policy for the newly commissioned wind farms.

Suggested Citation

  • Jiahai Yuan & Chunning Na & Yan Xu & Changhong Zhao, 2016. "Feed-In Tariff for Onshore Wind Power in China," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 52(6), pages 1427-1437, June.
    • Handle: RePEc:mes:emfitr:v:52:y:2016:i:6:p:1427-1437
    DOI: 10.1080/1540496X.2016.1152797
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    Cited by:

    1. Chunning Na & Can Jin & Huan Pan & Lixia Ding, 2022. "Green Power Trade Behavior in China’s Renewable Portfolio Standard: An Evolutionary Game-Based System Dynamics Approach," Sustainability, MDPI, vol. 14(9), pages 1-12, April.
    2. He, Zhengxia & Cao, Changshuai & Kuai, Leyi & Zhou, Yanqing & Wang, Jianming, 2022. "Impact of policies on wind power innovation at different income levels: Regional differences in China based on dynamic panel estimation," Technology in Society, Elsevier, vol. 71(C).
    3. Yan Xu & Wenyu Li & Jiahai Yuan, 2017. "Economical Efficiency of Combined Cooling Heating and Power Systems Based on an Enthalpy Method," Energies, MDPI, vol. 10(11), pages 1-16, November.
    4. Dahlke, Steven & Sterling, John & Meehan, Colin, 2019. "Policy and market drivers for advancing clean energy," OSF Preprints hsbry, Center for Open Science.

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