Efficiency Measurement and Factor Analysis of China’s Solar Photovoltaic Power Generation Considering Regional Differences Based on a FAHP–DEA Model

Jing Yang, Changhui Yang, Xiaojia Wang, Manli Cheng and Jingjing Shang
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Jing Yang: School of Management, Hefei University of Technology, Hefei 230009, China
Changhui Yang: School of Management, Hefei University of Technology, Hefei 230009, China
Xiaojia Wang: Key Laboratory of Process Optimization and Intelligent Decision-Making (Ministry of Education), Hefei University of Technology, Hefei 230009, China
Manli Cheng: School of Management, Hefei University of Technology, Hefei 230009, China
Jingjing Shang: School of Management, Hefei University of Technology, Hefei 230009, China

Energies, 2020, vol. 13, issue 8, 1-26

Abstract: Driven by the transformation of the energy structure, China’s photovoltaic (PV) power generation industry has made remarkable achievements in recent years. However, there are more than 30 regions (cities/provinces) in China, and the economic, policy, technological, and the environmental conditions of each region are significantly different, which leads to a huge discrepancy in PV power generation efficiency. To address the imbalance in the development of PV industry, first, this paper employed the integrated fuzzy analytic hierarchy process–data envelopment analysis (FAHP–DEA) model to evaluate the PV power generation efficiency of 30 regions in China. Second, Tobit regression model was used to examine the effects of 9 potential influencing factors. Third, a concrete analysis was conducted, and discussion based on the efficiency rankings and regression results was made. Additionally, the FAHP–DEA model proposed in this study can also be applied to the efficiency evaluation issues of other types of renewable energy.

Keywords: photovoltaic; efficiency measurement; factor analysis; fuzzy analytic hierarchy process (FAHP); data envelopment analysis (DEA) (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

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