Study on the industrial Eco-Efficiency in East China based on the Super Efficiency DEA Model: an example of the 2003-2013 panel data

被引:37
作者
Dai, Zhimin [1 ,2 ]
Guo, Lu [3 ]
Jiang, Zhengyi [4 ]
机构
[1] Nanchang Univ, Sch Econ & Management, Nanchang, Peoples R China
[2] Fudan Univ, Postdoctoral Res Ctr Appl Econ, Shanghai, Peoples R China
[3] Jiangxi Univ Finance & Econ, Sch Stat, Nanchang, Peoples R China
[4] Singapore ETH Ctr, Future Resilient Syst, Singapore, Singapore
基金
中国国家自然科学基金; 中国博士后科学基金;
关键词
Industrial Eco-Efficiency; Super Efficiency DEA Model; Malmquist Index; Tobit regression; C33; Q51; Q57; R15; Q58;
D O I
10.1080/00036846.2016.1184380
中图分类号
F [经济];
学科分类号
02 ;
摘要
The article uses the panel data of six provinces and one chartered city in East China from 2003 to 2013 as an example, constructs the input-output indicators system of Eco-Efficiency, calculates each region's industrial Eco-Efficiencies throughout the 11years by the Super Efficiency DEA Model, carries out dynamic studies on the efficiencies by using the Malmquist Index and analyses the factors influencing the efficiencies by the Tobit model. The empirical studies suggest the following: the regions in East China have relatively high industrial Eco-Efficiencies, and the efficiencies turn out a downward then upward trend; there are disparities among the regions as Shanghai, Zhejiang and Jiangsu are regions of relatively high industrial Eco-Efficiencies; the region all have Tfpch (productivity changes) greater than 1, of which the average is 7.2%, and the industrial Eco-Efficiencies are mainly driven by technology advancement; research and development, foreign capital and industrial structure each has a positive relationship with the industrial Eco-Efficiencies, and research and development has a significant influence, while industrial structure has an insignificant influence, and environment governance has a negative and significant influence.
引用
收藏
页码:5779 / 5785
页数:7
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