Modeling undesirable factors in efficiency measurement using data envelopment analysis: a review

Noor Asiah Ramli, . and Susila Munisamy, . Modeling undesirable factors in efficiency measurement using data envelopment analysis: a review. pp. 126-135. ISSN 1823-8556

This paper presents a review on the development of efficiency measurement approaches incorporating undesirable outputs in the Data Envelopment Analysis (DEA) framework. The review is based on the literature analysis in DEA with the classification of the literature in two orientations-a methodological orientation and an empirical orientation. For the methodological orientation two categories of direct and indirect approaches have been discussed extensively. As for the empirical orientation the discussion brings up some empirical studies relating to environmental efficiency measurement.

Full text available from: Official URL: http://jssm.umt.edu.my/files/2013/07/15w.pdf

Abstract

This paper presents a review on the development of efficiency measurement approaches incorporating undesirable outputs in the Data Envelopment Analysis (DEA) framework. The review is based on the literature analysis in DEA with the classification of the literature in two orientations-a methodological orientation and an empirical orientation. For the methodological orientation two categories of direct and indirect approaches have been discussed extensively. As for the empirical orientation the discussion brings up some empirical studies relating to environmental efficiency measurement.

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Item Type:	Article
AGROVOC Term:	Production sectors
AGROVOC Term:	Environmental pollution
AGROVOC Term:	Data analysis
AGROVOC Term:	Models
AGROVOC Term:	Efficiency
Depositing User:	Mr. AFANDI ABDUL MALEK
Last Modified:	24 Apr 2025 00:54
URI:	http://webagris.upm.edu.my/id/eprint/8711

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