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Study on the direct and indirect effectiveness of wind power policy: Empirical evidence from 30 provinces in China

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  • Song, Yan
  • Liu, Jun
  • Wei, Yuanchao
  • Zhang, Ming

Abstract

As a renewable energy, wind energy plays a momentous role in improving energy structure and maintaining energy strategic security. Based on the provincial level panel data, this paper not only explores the direct effect of price-oriented policy (POP) and quantity-oriented policy (QOP) on newly installed wind power capacity (NI), but also investigates the indirect impact paths and mechanisms through learning-by-researching (LBS) and learning-by-doing (LBD). Main results are as follows: (1) From the national perspective, it is observed that the two policies can directly promote the expansion of wind power, and POP is better than QOP. (2) From the perspective of regional heterogeneity, POP plays a significant direct role in promoting the wind power growth in the eastern, central and western regions, and QOP has achieved a long-term success in the eastern region, but fails in the central and western regions in the long run. (3) From the perspective of resource endowment heterogeneity, QOP plays a better direct role than POP in areas with rich wind resources, but the opposite is true that in the areas with relatively poor wind resources. Based on the research results, several constructive suggestions are put forward.

Suggested Citation

  • Song, Yan & Liu, Jun & Wei, Yuanchao & Zhang, Ming, 2021. "Study on the direct and indirect effectiveness of wind power policy: Empirical evidence from 30 provinces in China," Renewable Energy, Elsevier, vol. 170(C), pages 749-763.
    • Handle: RePEc:eee:renene:v:170:y:2021:i:c:p:749-763
    DOI: 10.1016/j.renene.2021.02.044
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    Citations

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    Cited by:

    1. Wang, Xue & Fan, Li-Wei & Zhang, Hongyan, 2023. "Policies for enhancing patent quality: Evidence from renewable energy technology in China," Energy Policy, Elsevier, vol. 180(C).
    2. Li, Aitong & Sun, Ying & Song, Xiaobin, 2023. "Gradual improvement and reactive intervention: China's policy pathway for developing the wind power industry," Renewable Energy, Elsevier, vol. 216(C).
    3. Liu, Xiaoxiao & Niu, Qian & Dong, Shuli & Zhong, Shuiying, 2023. "How does renewable energy consumption affect carbon emission intensity? Temporal-spatial impact analysis in China," Energy, Elsevier, vol. 284(C).
    4. Bangjun, Wang & Feng, Zhaolei & Feng, Ji & Yu, Pan & Cui, Linyu, 2022. "Decision making on investments in photovoltaic power generation projects based on renewable portfolio standard: Perspective of real option," Renewable Energy, Elsevier, vol. 189(C), pages 1033-1045.
    5. Liu, Tingting & Chen, Zhe & Xu, Jiuping, 2022. "Empirical evidence based effectiveness assessment of policy regimes for wind power development in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 164(C).
    6. Jiang, Zihao & Liu, Zhiying, 2022. "Policies and exploitative and exploratory innovations of the wind power industry in China: The role of technological path dependence," Technological Forecasting and Social Change, Elsevier, vol. 177(C).
    7. Usman, Muhammad & Jahanger, Atif & Makhdum, Muhammad Sohail Amjad & Balsalobre-Lorente, Daniel & Bashir, Adnan, 2022. "How do financial development, energy consumption, natural resources, and globalization affect Arctic countries' economic growth and environmental quality? An advanced panel data simulation," Energy, Elsevier, vol. 241(C).
    8. Li, Chengzhe & Zhang, Libo & Ou, Zihan & Ma, Jiayu, 2022. "Using system dynamics to evaluate the impact of subsidy policies on green hydrogen industry in China," Energy Policy, Elsevier, vol. 165(C).

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