School of Economics, Ocean University of China, Qingdao, China; Marine Development Studies Institute of OUC, Key Research Institute of Humanities and Social Sciences at Universities, Ministry of Education, Qingdao, China.
School of Economics, Ocean University of China, Qingdao, China.
Sci Total Environ. 2020 Aug 20;731:139001. doi: 10.1016/j.scitotenv.2020.139001. Epub 2020 May 5.
This paper aims to investigate efficiency performance and the dynamic evolution of industrial circular economy (ICE). We first employ the cooperative game network data envelopment analysis (DEA) to measure the overall efficiency, subsystem efficiency, and factor efficiency of the ICE system. Then, an extended Malmquist index (EMI) method is proposed to identify the dynamic evolution of efficiency performance over time. Unlike the standard Malmquist index method, the proposed EMI method can finally decompose the EMI of the ICE system into the square root of the product of four dynamic indicators of efficiency change and the technological progress of subsystems, providing more details and dominants underlying EMI in the ICE system. The evaluation results of China's Yangtze River Delta region over 2012-2017 show that overall efficiency of the ICE system presents obvious disparity across cities and subsystems. Besides, it is found that EMI of the ICE system presents a V-shaped fluctuation and is mainly dominated by the environmental treatment (ET) subsystem. The decline of EMI of the ICE system early in the sample period (2013-2014) is caused by serious efficiency deterioration of the ET subsystem, while its rise at the end of sample period (2016-2017) is due to the technological progress of the ET subsystem.
本文旨在探讨工业循环经济（ICE）的效率绩效和动态演变。我们首先采用合作博弈网络数据包络分析（DEA）来衡量 ICE 系统的整体效率、子系统效率和要素效率。然后，提出了一种扩展的 Malmquist 指数（EMI）方法来识别效率绩效随时间的动态演变。与标准的 Malmquist 指数方法不同，所提出的 EMI 方法最终可以将 ICE 系统的 EMI 分解为效率变化的四个动态指标的乘积的平方根和子系统的技术进步，从而为 ICE 系统中 EMI 的更多细节和主导因素提供了信息。对 2012-2017 年中国长江三角洲地区的评估结果表明，ICE 系统的整体效率在城市和子系统之间存在明显差异。此外，还发现 ICE 系统的 EMI 呈现出 V 形波动，主要由环境处理（ET）子系统主导。样本早期（2013-2014 年）ICE 系统 EMI 的下降是由于 ET 子系统的效率严重恶化所致，而样本末期（2016-2017 年）的上升则是由于 ET 子系统的技术进步所致。
