A DEA model for efficiency evaluation with undesirable output: an application of paper mills along Huai River
by Jie Wu; Hong Yan; Zhixiang Zhou; Liang Liang
International Journal of Sustainable Society (IJSSOC), Vol. 4, No. 1/2, 2012

Abstract: This paper focuses on evaluating the operations efficiency of paper mills located on the banks of Huai River in China using data envelopment analysis (DEA). We divide the outputs as desirable (good) and undesirable (bad) outputs and consider them simultaneously. In this manner, we expect to identify the environmental characteristics of efficiency evaluation problem with undesirable outputs. Different from conventional DEA models, a novel model is constructed in this paper to evaluate the performance of decision-making units (DMUs) from both sides of desirable and undesirable outputs. Based on the proposed model, some managerial suggestions for the poorly performing DMUs to improve their efficiency are given. Finally, a practical application on the efficiency evaluation on 31 paper mills is conducted to illustrate the proposed model.

Online publication date: Wed, 31-Dec-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 Sustainable Society (IJSSOC):
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