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Clean Technologies and Environmental Policy

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01.03.2014 | Original Paper

A new data envelopment analysis (DEA) model to select eco-efficient technologies in the presence of undesirable outputs

verfasst von: Amir Shabani, Reza Farzipoor Saen, Seyed Mohammad Reza Torabipour

Erschienen in: Clean Technologies and Environmental Policy | Ausgabe 3/2014

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Abstract

Recent global attention to the challenges of environmental protection is forcing firms and governments to evaluate, rank, and select eco-efficient technologies. Technologies may consume inputs to produce both desirable and undesirable outputs. It seems that the data envelopment analysis (DEA) is a proper method to evaluate eco-efficient technologies. There are some DEA extensions for dealing with undesirable output, and sometimes it is difficult to choose a suitable model to evaluate the technologies. The challenge becomes much more complex when the outcomes of models are not similar. In such a condition, subjective selection of alternative DEA models may lead to deviation from an optimal decision. Accordingly, the objective of this paper is to develop a combined model to include all characters of the previous DEA techniques in a flexible model to select optimum eco-efficient technology in the presence of undesirable outputs. A case study demonstrates the application of proposed procedure.

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Titel: A new data envelopment analysis (DEA) model to select eco-efficient technologies in the presence of undesirable outputs
verfasst von: Amir Shabani
Reza Farzipoor Saen
Seyed Mohammad Reza Torabipour
Publikationsdatum: 01.03.2014
Verlag: Springer Berlin Heidelberg
Erschienen in: Clean Technologies and Environmental Policy / Ausgabe 3/2014
Print ISSN: 1618-954X
Elektronische ISSN: 1618-9558
DOI: https://doi.org/10.1007/s10098-013-0652-0

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