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Does a Small Difference Make a Difference? Impact of Feed-in Tariff on Renewable Power Generation in China

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  • Yimeng Du

    (Graduate School of Economics, Kobe University)

  • Kenji Takeuchi

    (Graduate School of Economics, Kobe University)

Abstract

This study investigates the effectiveness of regionally differentiated feed-in tariffs (FIT) for the development of renewable energy in China. By using a spatial regression discontinuity design, we estimate the impacts of regionally differentiated FITs on the outcome indicators of wind and solar power generation, such as utilization rate, installed capacity, power generation, and hours of operation. Our findings show that FIT implementation plays a role in promoting renewable energy development in resourcepoor regions. A small difference in the tariff rate leads to statistically significant differences in outcome indicators among regions. Our results suggest that regionally differentiated FITs might help mitigate the overproduction of wind electricity in regions with abundant wind resources but low electricity demand.

Suggested Citation

  • Yimeng Du & Kenji Takeuchi, 2018. "Does a Small Difference Make a Difference? Impact of Feed-in Tariff on Renewable Power Generation in China," Discussion Papers 1828, Graduate School of Economics, Kobe University.
    • Handle: RePEc:koe:wpaper:1828
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    Cited by:

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    2. Dong, Zhuojia & Yu, Xianyu & Chang, Ching-Ter & Zhou, Dequn & Sang, Xiuzhi, 2022. "How does feed-in tariff and renewable portfolio standard evolve synergistically? An integrated approach of tripartite evolutionary game and system dynamics," Renewable Energy, Elsevier, vol. 186(C), pages 864-877.
    3. 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).
    4. Wu, Jiaqian & Chen, Yu & Yu, Lean & Li, Guohao & Li, Jingjing, 2023. "Has the evolution of renewable energy policies facilitated the construction of a new power system for China? A system dynamics analysis," Energy Policy, Elsevier, vol. 183(C).
    5. Dong, Changgui & Zhou, Runmin & Li, Jiaying, 2021. "Rushing for subsidies: The impact of feed-in tariffs on solar photovoltaic capacity development in China," Applied Energy, Elsevier, vol. 281(C).
    6. Wang, Yadong & Mao, Jinqi & Chen, Fan & Wang, Delu, 2022. "Uncovering the dynamics and uncertainties of substituting coal power with renewable energy resources," Renewable Energy, Elsevier, vol. 193(C), pages 669-686.
    7. Hu, Xing & Yu, Shiwei & Fang, Xu & Ovaere, Marten, 2023. "Which combinations of renewable energy policies work better? Insights from policy text synergies in China," Energy Economics, Elsevier, vol. 127(PA).
    8. Bigerna, Simona & Ceccacci, Francesca & Micheli, Silvia & Polinori, Paolo, 2023. "Between saying and doing for ensuring energy resources supply: The case of Italy in time of crisis," Resources Policy, Elsevier, vol. 85(PA).

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    More about this item

    Keywords

    Feed-in Tariff; Renewable Energy; Renewable Curtailment; Spatial Regression Discontinuity Design;
    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

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