Title
Modelling undesirable outputs in multiple objective data envelopment analysis
Source of Publication
Journal of the Operational Research Society
Abstract
© 2017, © Operational Research Society 2018. Recent empirical and conceptual work in data envelopment analysis (DEA) have emphasised its potential importance in highlighting the environmental performance of economic entities. Initial work in this emerging research area has focused on the separation of output factors into desirable and undesirable ones. In this paper, we describe recent developments in the modelling undesirable outputs. In particular, the modelling of undesirable outputs in the range adjusted measure (RAM) is investigated. We discuss some of the difficulties of RAM in assessing the environmental efficiency of decision-making units (DMUs) and develop a multiple objective DEA model to overcome these difficulties. The proposed multiple objective model is solved as a linear programming and its applicability as a mechanism for assessing environmental efficiency is demonstrated by evaluating the technical, ecological and process environmental quality efficiency scores of China’s provinces.
Document Type
Article
First Page
1903
Last Page
1919
Publication Date
12-2-2018
DOI
10.1080/01605682.2017.1415647
Recommended Citation
Mahdiloo, Mahdi; Jafarzadeh, Abdol Hossein; Saen, Reza Farzipoor; Wu, Yong; and Rice, John, "Modelling undesirable outputs in multiple objective data envelopment analysis" (2018). Scopus Indexed Articles. 918.
https://zuscholars.zu.ac.ae/scopus-indexed-articles/918