Electric Power ›› 2022, Vol. 55 ›› Issue (3): 167-176.DOI: 10.11930/j.issn.1004-9649.202105178

• New Energy • Previous Articles     Next Articles

Regional Differences and Spatial Econometric Analysis of Wind Power Generation Performance in China

LI Cunbin, DONG Jia   

  1. School of Economics and Management, North China Electric Power University, Beijing 102206, China
  • Received:2021-06-18 Revised:2022-01-25 Online:2022-03-28 Published:2022-03-29
  • Supported by:
    This work is supported by National Natural Science Foundation of China (No.71840004).

Abstract: In recent years, wind curtailment in China has seriously affected the utilization rate of wind power resources and hindered the process of China’s energy structure transformation. To effectively improve wind power performance and speed up the progress of energy revolution, this paper conducts differentiated research on regional wind power development of various provinces in China. The DEA-TOPSIS model is used to measure wind power performance, and the result is compared with that of the super efficiency DEA model. It is verified that the proposed model is more suitable for wind power performance evaluation. The space panel model is introduced to analyze the influencing factors in wind power performance, and the differentiation strategy is formulated to promote the development of wind power. The results show that the pure technical efficiency of wind power in various provinces is lower than the scale efficiency as a whole, and the geographical proximity has a positive impact on China’s wind power development. At present, the main factors affecting the performance of wind power in China are the level of regional economic development and wind curtailment. The research provides a decision-making reference for the optimization of wind power operation and management in various provinces.

Key words: performance of wind power generation, DEA, TOPSIS, Moran's I, space panel model