Abstract

Study on environmental performance of electric power industry based on super-efficiency three-stage DEA model

Author(s): Wu Qunli, Jia Ruijie, Li Mingming

By means of constructing the super-efficiency three-stage DEA model, this paper conducts a study on the environmental performance of electric power industry in 30 cities, provinces and municipalities of China. Firstly, in consideration of the undesired output, this paper takes advantage of super-efficiency one-stage DEA model (Super-SBM) to evaluate and analyze the environmental performance of ChinaÂ’s electric power industry. Secondly, this paper makes a regression analysis on the macro-factors influencing environmental performance of electric power industry ofChina, by dint of super-efficiency two-stage DEA model (Tobit model). At last, this paper calculates the macro impact factors, as well as includes them in the super-efficiencyDEAmodel to empirically analyze the third stage. The findings show that in consideration of the influence of macro-factors, this paper works out that the regions such as Shanghai, Hainan, Beijing, Zhejiang, and Hubei achieve comparatively high comprehensive environmental performance, aswell as puts forward the policy suggestions on the improving environmental performance of ChinaÂ’s electric power industry.