Modelling undesirable outputs in multiple objective data envelopment analysis

Document Type

Article

Source of Publication

Journal of the Operational Research Society

Publication Date

12-2-2018

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.

ISSN

0160-5682

Publisher

Taylor and Francis Ltd.

Volume

69

Issue

12

First Page

1903

Last Page

1919

Disciplines

Business

Keywords

Data envelopment analysis, ecological efficiency, multiple objective, process environmental quality efficiency, undesirable outputs

Scopus ID

85049035608

Indexed in Scopus

yes

Open Access

yes

Open Access Type

Green: A manuscript of this publication is openly available in a repository

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