Efficiency measurement and factor analysis of China's solar photovoltaic power generation considering regional differences based on a FAHP-DEA model

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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.

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Yang, J., Yang, C., Wang, X., Cheng, M., & Shang, J. (2020). Efficiency measurement and factor analysis of China’s solar photovoltaic power generation considering regional differences based on a FAHP-DEA model. Energies, 13(8). https://doi.org/10.3390/en13081936

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