EconPapers    
Economics at your fingertips  
 

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

Zhimin Dai, Lu Guo and Zhengyi Jiang

Applied Economics, 2016, vol. 48, issue 59, 5779-5785

Abstract: 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 11 years 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.

Date: 2016
References: View complete reference list from CitEc
Citations: View citations in EconPapers (14)

Downloads: (external link)
http://hdl.handle.net/10.1080/00036846.2016.1184380 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:taf:applec:v:48:y:2016:i:59:p:5779-5785

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/RAEC20

DOI: 10.1080/00036846.2016.1184380

Access Statistics for this article

Applied Economics is currently edited by Anita Phillips

More articles in Applied Economics from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().

 
Page updated 2025-03-20
Handle: RePEc:taf:applec:v:48:y:2016:i:59:p:5779-5785