Measuring efficiency in Chinese commercial banks using a DEA model with undesirable output
by Xiaodan Huang; Dasha Hu; Zhixiang Zhou
International Journal of Information and Decision Sciences (IJIDS), Vol. 5, No. 2, 2013

Abstract: Data envelopment analysis (DEA) approaches are widely utilised to measure the performance of commercial banks with considering multiple input and output variables. In order to attain accurate efficiency score, undesirable outputs such as bad loan are taken into consideration when evaluating the efficiency of commercial banks. However, the same problem arises within all the existing undesirable DEA approaches which have been utilised to measure the performance of commercial banks: the commercial banks can get higher efficiency scores if undesirable outputs are considered. This paper constructs a new undesirable DEA model for overcoming this dilemma. We also applied the new proposed models to investigate 15 main Chinese commercial banks from the year 2007 to 2010 for illustrating the use and advantages of it.

Online publication date: Fri, 28-Feb-2014

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 Information and Decision Sciences (IJIDS):
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