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http://dx.doi.org/10.14400/JDC.2022.20.5.375

Research on Eco-efficiently Evaluation of China Based on DEA-Malmquist Index  

YULIN, LU (Department of Public Policy, Mokwon University)
YAN, HE (Department of Public Policy, Mokwon University)
Publication Information
Journal of Digital Convergence / v.20, no.5, 2022 , pp. 375-381 More about this Journal
Abstract
The DEA-BCC model. And the Malmquist index have been used, from static and dynamic perspectives, to measure the eco-efficiency of 30 cities and provinces in China from 2011 to 2020. The results shows that: the average static eco-efficiency of 30 cities and provinces in China is 0.643. Differences exists all over China. While Shanghai and Beijing are ecologically efficient, other 28 cities and provinces are faced with different extents of inefficiency. There are also differences among regions, which generally show the spatial distribution pattern with high efficiency in the eastern regions while low in the western regions. The Malmquist index of eco-efficiency in total 30 cities and provinces shows a healthy growth trend, and the technological progress. Acts as its main driving force. Therefore, eastern regions should enhance the. radiation capacity, strengthen the synergy among regions, give full play to. The advantages of each regions. It is sensible to improve the eco-efficiency by means of optimizing the industrial structure, enhancing the technological level and improving eco-efficiency of China and realizing green development.
Keywords
eco- efficiency; DEA model; China; Dynamics; Static; Malmquist index;
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