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Analysis of Driving Factors of Photovoltaic Power Generation Efficiency: A Case Study in China

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  • Tao Yi

    (School of Economics and Management, North China Electric Power University, Beijing 102206, China
    Beijing Key Laboratory of New Energy and Low-Carbon Development (North China Electric Power University), Beijing, 102206, China)

  • Ling Tong

    (School of Economics and Management, North China Electric Power University, Beijing 102206, China
    Beijing Key Laboratory of New Energy and Low-Carbon Development (North China Electric Power University), Beijing, 102206, China)

  • Mohan Qiu

    (School of Economics and Management, North China Electric Power University, Beijing 102206, China
    Beijing Key Laboratory of New Energy and Low-Carbon Development (North China Electric Power University), Beijing, 102206, China)

  • Jinpeng Liu

    (School of Economics and Management, North China Electric Power University, Beijing 102206, China
    Beijing Key Laboratory of New Energy and Low-Carbon Development (North China Electric Power University), Beijing, 102206, China)

Abstract

With the increasing consumption of fossil energy and changes in the ecological environment, meeting the energy demands required for industrial and economic development with clean and efficient power generation is a major challenge of our society. Solar energy is considered to be one of the most renewable and sustainable energy sources, and photovoltaic power generation has become an important research topic. This study combines data envelopment analysis (DEA) with Tobit regression analysis to assess the efficiency of photovoltaic power generation in China and analyze factors affecting efficiency to improve the efficiency of photovoltaic power generation. The results show that there are obvious regional differences in photovoltaic power generation efficiency in China. The phenomenon of focusing on economic development at the expense of the use of solar power generation still exists. The establishment of photovoltaic demonstration projects, the implementation of differential electricity price policies, and the promotion of photovoltaic precision poverty alleviation can alleviate economic pressure and effectively improve the efficiency of photovoltaic power generation.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:3:p:355-:d:200236
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    5. Liu, Jing & Huang, Fubin & Wang, Zihan & Shuai, Chuanmin, 2021. "What is the anti-poverty effect of solar PV poverty alleviation projects? Evidence from rural China," Energy, Elsevier, vol. 218(C).
    6. Liangen Zeng & Haiyan Lu & Yenping Liu & Yang Zhou & Haoyu Hu, 2019. "Analysis of Regional Differences and Influencing Factors on China’s Carbon Emission Efficiency in 2005–2015," Energies, MDPI, vol. 12(16), pages 1-21, August.
    7. Tomasz Brzęczek & Łukasz Hadaś, 2024. "Photovoltaic Capacity Management for Investment Effectiveness," Energies, MDPI, vol. 17(13), pages 1-14, June.
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    9. Yongshi Jie & Xianhua Ji & Anzhi Yue & Jingbo Chen & Yupeng Deng & Jing Chen & Yi Zhang, 2020. "Combined Multi-Layer Feature Fusion and Edge Detection Method for Distributed Photovoltaic Power Station Identification," Energies, MDPI, vol. 13(24), pages 1-19, December.
    10. Liu, Jicheng & Lu, Yunyuan, 2023. "A task matching model of photovoltaic storage system under the energy blockchain environment - based on GA-CLOUD-GS algorithm," Energy, Elsevier, vol. 283(C).
    11. Xiaohua Song & Caiping Zhao & Jingjing Han & Qi Zhang & Jinpeng Liu & Yuanying Chi, 2020. "Measurement and Influencing Factors Research of the Energy and Power Efficiency in China: Based on the Supply-Side Structural Reform Perspective," Sustainability, MDPI, vol. 12(9), pages 1-23, May.
    12. Wei Li & Hui Ren & Ping Chen & Yanyang Wang & Hailong Qi, 2020. "Key Operational Issues on the Integration of Large-Scale Solar Power Generation—A Literature Review," Energies, MDPI, vol. 13(22), pages 1-25, November.
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