The impact of risk on technical and scale efficiency: empirical evidence from the China banking sector
by Fadzlan Sufian
International Journal of Business Performance Management (IJBPM), Vol. 12, No. 1, 2010

Abstract: By employing the data envelopment analysis (DEA) method, this paper examines the impact of risks on China banks' technical and scale efficiency estimates. To do so, we follow the procedures set out by Drake and Hall (2003) to include risk factor as a non-discretionary input variable. The results indicate that scale inefficiency outweighs pure technical inefficiency in determining the China banking sector's technical efficiency during the earlier years, while the opposite is true during the latter years. The empirical findings suggest that potential economies of scale to be overestimated in the range of 10% to 22.5% when risk factor is excluded. The inclusion of risk factor has benefited the city commercial banks the most, while the joint stock commercial banks the least. The findings from the multivariate regression analysis indicate that technically efficient banks are larger, relatively better capitalised, have smaller market share and on average have lower amount non-performing loans.

Online publication date: Wed, 13-Oct-2010

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 Business Performance Management (IJBPM):
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