【SSCI(Q1)】Environmental efficiency evaluation of industrial sector in china by incorporating learning effects

创建时间 2017/12/27  杨潇   浏览次数:   返回

论文题目:Environmental efficiency evaluation of industrial sector in china by incorporating learning effects
作者:Kangjuan Lyu 吕康娟1Yiwen Bian 卞亦文1Anyu Yu俞安愚3(悉尼工商学院)
论文出处:Journal Of Cleaner Production .2018,172,2464-2474.
论文摘要:Concerns about reducing waste gas emissions and the trade-off with economic development dominate government policy worldwide. However, existing data envelopment analysis does little to permit understanding of how environmental efficiency can be improved by learning solutions. Digesting and following effective strategies from elsewhere is intuitive, but to date no evidence has been able to quantify how exactly the inputs and outputs of production are affected. Developing an improved slacks- based measure model, which incorporates learning effects as one part of undesirable outputs for the first time, we reappraise the performance of Chinese regional industrial production systems. Learning effects have significant impacts for three waste gases, especially for sulfur dioxide, advocating policy which gives managers and operatives access to best practice and empowers them to replicate this within their own firms. As well as reducing output there is strong potential to improve environmental efficiency, particularly in the developed eastern area of China. However, in the central and western regions of China it remains optimal to focus efforts on productivity and there caution on placing too much hope on learning activities is cautioned against. We also find that the proposed approach accompanied with traditional data envelopment analysis model can effectively identify the regional inefficiency whether sourced from learning activities, other production activities, or the both.
关键词:Environmental efficiency Learning effects Slacks-based measure approach Industrial sectorChina
影响因子:2016年影响因子5.7155年平均影响因子6.207

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