Provincial Total-factor Energy Efficiency Evaluation Based on Improved Three-stage DEA Model

被引：0
|
作者：
Zheng S. [1 ]
Zhou S. [1 ]
Qiu Y. [1 ]
Lou G. [1 ]
Gu W. [1 ]
Zhang X. [2 ]
机构：
[1] School of Electrical Engineering, Southeast University, Jiangsu Province, Nanjing
[2] School of Engineering, University of Birmingham, Birmingham
来源：
Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering | 2023年 / 43卷 / 14期
基金：
中国国家自然科学基金;
关键词：
carbon neutral; carbon peak; data envelopment analysis (DEA); energy policy; sustainable development; total-factor energy efficiency;
D O I：
10.13334/j.0258-8013.pcsee.213214
中图分类号：
学科分类号：
摘要：
Energy efficiency refers to the ratio of the useful output to the energy input of a production process. The commonly used energy intensity in China is single-factor energy efficiency, but it only considers the energy consumption and gross regional product, so it is difficult to reflect the actual energy efficiency level comprehensively. Therefore, it is necessary to establish an evaluation index system of multiple input and multiple output and a calculation method of energy efficiency for making a more scientific assessment of energy efficiency in different areas facing various environment. This paper establishes a provincial total-factor energy efficiency evaluation system based on the improved three-stage data envelopment analysis (DEA) model. First, the slack based measure (SBM)-undesirable model is used to calculate the total-factor energy efficiency of 30 provinces in mainland China from 2011 to 2019. Then, the impact of external environmental factors on input factors is evaluated through stochastic frontier analysis, and the input data are adjusted to make each province face the same external environment. The SBM model is used again to evaluate provincial total-factor energy efficiency. In the end, corresponding policy suggestions are put forward on how to improve energy efficiency. ©2023 Chin.Soc.for Elec.Eng.
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收藏
页码：5329 / 5341
页数：12
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