Analysis of China’s Regional Wind Power Generation Efficiency and its Influencing Factors

Abstract

In order to objectively evaluate the current situation of wind power generation in China and identify the key factors, based on the data of 30 Chinese provinces from 2011 to 2014, this study use a meta-frontier data envelopment analysis (DEA) model and a symbolic regression method to study wind power generation efficiency and its influencing factors. The results show: (1) The wind power generation efficiency of the eastern region is the highest, followed by the western region, and the wind power generation efficiency of the central region is the lowest. (2) The wind power generation efficiency in the eastern region has great room for improvement in internal management; the wind power generation efficiency in the central region and western region has great room for improvement not only at a technical level but also in internal management. (3) Technical progress has the most impact on wind power generation efficiency, followed by carbon regulation, while wind energy reserve has the least impact on wind power generation efficiency.