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How Do Chinese Residents Expect of Government Subsidies on Solar Photovoltaic Power Generation?—A Case of Wuhan, China

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  • Liping Ding

    (School of Economics and Management, Mineral Resource Strategy and Policy Research Center of China, China University of Geosciences, Wuhan 430074, Hubei, China)

  • Fan Zhang

    (School of Economics and Management, Mineral Resource Strategy and Policy Research Center of China, China University of Geosciences, Wuhan 430074, Hubei, China)

  • Jing Shuai

    (School of Economics and Management, Mineral Resource Strategy and Policy Research Center of China, China University of Geosciences, Wuhan 430074, Hubei, China)

Abstract

This paper investigates local residents’ expectations of the Chinese government subsidies on solar photovoltaic (PV) power generation. Residents’ demographics including age, educational attainment, income level, gender, and employment fields are analyzed based on a survey study in Wuhan, China. Results of the regression analysis on the influence of demographic variables on residents’ expectations indicate that: (1) residents with different demographics have significantly different expectations of the Chinese government subsidies for adopting PV power generation facilities; (2) income, education attainment, and residents’ employment fields have a significant impact on their expectations of government subsidies. With these findings, this paper concludes with useful policy implications.

Suggested Citation

  • Liping Ding & Fan Zhang & Jing Shuai, 2018. "How Do Chinese Residents Expect of Government Subsidies on Solar Photovoltaic Power Generation?—A Case of Wuhan, China," Energies, MDPI, vol. 11(1), pages 1-11, January.
  • Handle: RePEc:gam:jeners:v:11:y:2018:i:1:p:228-:d:127584
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    References listed on IDEAS

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    2. Zheng Lu & Yunfei Chen & Qiaoqiao Fan, 2021. "Study on Feasibility of Photovoltaic Power to Grid Parity in China Based on LCOE," Sustainability, MDPI, vol. 13(22), pages 1-14, November.
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    4. Tao Yi & Ling Tong & Mohan Qiu & Jinpeng Liu, 2019. "Analysis of Driving Factors of Photovoltaic Power Generation Efficiency: A Case Study in China," Energies, MDPI, vol. 12(3), pages 1-15, January.

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