TY - JOUR
T1 - Modelling undesirable outputs in multiple objective data envelopment analysis
AU - Mahdiloo, Mahdi
AU - Jafarzadeh, Abdol Hossein
AU - Saen, Reza Farzipoor
AU - Wu, Yong
AU - Rice, John
N1 - Publisher Copyright:
© 2017, © Operational Research Society 2018.
PY - 2018/12/2
Y1 - 2018/12/2
N2 - 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.
AB - 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.
KW - Data envelopment analysis
KW - ecological efficiency
KW - multiple objective
KW - process environmental quality efficiency
KW - undesirable outputs
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U2 - 10.1080/01605682.2017.1415647
DO - 10.1080/01605682.2017.1415647
M3 - Article
AN - SCOPUS:85049035608
SN - 0160-5682
VL - 69
SP - 1903
EP - 1919
JO - Journal of the Operational Research Society
JF - Journal of the Operational Research Society
IS - 12
ER -