文章基本信息

标题：Eco-efficiency measurement and improvement of Chinese industry using a new closest target method
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作者：Beibei Xiong ; Yongli Li ; Ernesto D.R. Santibanez Gonzalez 等
期刊名称：International Journal of Climate Change Strategies and Management
印刷版ISSN：1756-8692
电子版ISSN：1756-8706
出版年度：2017
卷号：9
期号：5
页码：666-681
DOI：10.1108/IJCCSM-08-2016-0112
出版社：Emerald Group Publishing Limited
摘要：The purpose of this paper is to measure Chinese industries’ eco-efficiency during 2006-2013. The Chinese industry attained rapid achievement in recent decades, but meanwhile, overconsumption of energy and environmental pollution have become serious problems. To solve these problems, many research studies used the data envelopment analysis (DEA) to measure the Chinese industry’s eco-efficiency. However, because the target set by these works is usually the furthest one for a province to be efficient, it may hardly be accepted by any province.,This paper builds a new “closest target method” based on an additive DEA model considering the undesirable outputs. This method is a mixed-integer programming problem which can measure the ecological efficiency of provinces and more importantly guide the province to perform efficiently with minimum effort.,The results show that the eco-efficiency of Chinese provinces increased at the average level, but the deviations remained at a larger value. Compared to the “furthest” target methods, the targets by the approach proposed by this study are more acceptable for a province to improve its performance on both economy and environment counts.,This study is the first attempt to introduce the closest targets concept to measure the eco-efficiency and set the target for each provincial industry in China.
关键词：Data envelopment analysis;Eco-efficiency;Closest target;Undesirable output