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

机译:基于超高效三阶段DEA模型的电力行业环境绩效研究

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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 China???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 China???s electric power industry.
机译:通过构建超高效三阶段DEA模型,对中国30个省市的电力行业环境绩效进行了研究。首先,考虑到不期望的输出,本文利用超高效的一级DEA模型(Super-SBM)来评估和分析中国电力行业的环境绩效。其次,运用超效率两阶段DEA模型(Tobit模型)对影响中国电力行业环境绩效的宏观因素进行了回归分析。最后,本文计算了宏观影响因素,并将其包括在super-efficiencyDEA模型中,对第三阶段进行了实证分析。研究结果表明,考虑到宏观因素的影响,本文提出上海,海南,北京,浙江,湖北等地区取得了较高的综合环境绩效,并提出了改善环境的政策建议。中国电力行业的环境绩效。

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