Improved data envelopment analysis model based on geometric mean model
by Feng Yanhong; Wang Zhongfu
International Journal of Computer Applications in Technology (IJCAT), Vol. 61, No. 1/2, 2019

Abstract: According to the characteristics of the circular economy conception of the under-development regions under new economy situation, the improved data envelopment analysis model based on geometric mean model is reconstructed in the paper through increasing unexpected input (waste recycling quantity) in the input and increasing unexpected output (waste discharge quantity) in the output; then, the improved data envelopment analysis model is adopted to evaluate the efficiency of the circular economy of the under-development regions in 31 provinces and cities in China during 2002-2012. The research result shows that the efficiency of the circular economy of the under-development regions in China is generally improved, and the scale efficiency gradually tends to reach the optimum efficiency, but the obvious insufficiency of pure technical efficiency has influenced the development level of the circular economy of the under-development regions in China.

Online publication date: Fri, 06-Sep-2019

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Computer Applications in Technology (IJCAT):
Login with your Inderscience username and password:

    Username:        Password:         

Forgotten your password?


Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com