Evaluating eco-efficiency with data envelopment analysis : an analytical reexamination

This paper reexamines the unintended consequences of the two widely cited models for measuring environmental efficiency—the hyperbolic efficiency model (HEM) and directional distance function (DDF). I prove the existence of three main problems: (1) these two models are not monotonic in undesirable o...

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Main Author: Chen, Chien-Ming
Other Authors: Nanyang Business School
Format: Journal Article
Language:English
Published: 2014
Subjects:
Online Access:https://hdl.handle.net/10356/104126
http://hdl.handle.net/10220/19441
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author Chen, Chien-Ming
author2 Nanyang Business School
author_facet Nanyang Business School
Chen, Chien-Ming
author_sort Chen, Chien-Ming
collection NTU
description This paper reexamines the unintended consequences of the two widely cited models for measuring environmental efficiency—the hyperbolic efficiency model (HEM) and directional distance function (DDF). I prove the existence of three main problems: (1) these two models are not monotonic in undesirable outputs (i.e., a firm’s efficiency may increase when polluting more, and vice versa), (2) strongly dominated firms may appear efficient, and (3) some firms’ environmental efficiency scores may be computed against strongly dominated points. Using the supply-chain carbon emissions data from the 50 major U.S. manufacturing companies, I empirically compare these two models with a weighted additive DEA model. The empirical results corroborate the analytical findings that the DDF and HEM models can generate spurious efficiency estimates and must be used with extreme caution.
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spelling ntu-10356/1041262023-05-19T06:44:41Z Evaluating eco-efficiency with data envelopment analysis : an analytical reexamination Chen, Chien-Ming Nanyang Business School DRNTU::Business::Operations management This paper reexamines the unintended consequences of the two widely cited models for measuring environmental efficiency—the hyperbolic efficiency model (HEM) and directional distance function (DDF). I prove the existence of three main problems: (1) these two models are not monotonic in undesirable outputs (i.e., a firm’s efficiency may increase when polluting more, and vice versa), (2) strongly dominated firms may appear efficient, and (3) some firms’ environmental efficiency scores may be computed against strongly dominated points. Using the supply-chain carbon emissions data from the 50 major U.S. manufacturing companies, I empirically compare these two models with a weighted additive DEA model. The empirical results corroborate the analytical findings that the DDF and HEM models can generate spurious efficiency estimates and must be used with extreme caution. Accepted version 2014-05-26T01:51:09Z 2019-12-06T21:27:02Z 2014-05-26T01:51:09Z 2019-12-06T21:27:02Z 2013 2013 Journal Article Chen, C. M. (2014). Evaluating eco-efficiency with data envelopment analysis: an analytical reexamination. Annals of Operations Research, 214(1), 49-71. 0254-5330 https://hdl.handle.net/10356/104126 http://hdl.handle.net/10220/19441 10.1007/s10479-013-1488-z en Annals of operations research © 2013 Springer Science+Business Media New York. This is the author created version of a work that has been peer reviewed and accepted for publication by Annals of Operations Research, Springer Science+Business Media New York. It incorporates referee’s comments but changes resulting from the publishing process, such as copyediting, structural formatting, may not be reflected in this document. The published version is available at: [http://dx.doi.org/10.1007/s10479-013-1488-z]. application/pdf
spellingShingle DRNTU::Business::Operations management
Chen, Chien-Ming
Evaluating eco-efficiency with data envelopment analysis : an analytical reexamination
title Evaluating eco-efficiency with data envelopment analysis : an analytical reexamination
title_full Evaluating eco-efficiency with data envelopment analysis : an analytical reexamination
title_fullStr Evaluating eco-efficiency with data envelopment analysis : an analytical reexamination
title_full_unstemmed Evaluating eco-efficiency with data envelopment analysis : an analytical reexamination
title_short Evaluating eco-efficiency with data envelopment analysis : an analytical reexamination
title_sort evaluating eco efficiency with data envelopment analysis an analytical reexamination
topic DRNTU::Business::Operations management
url https://hdl.handle.net/10356/104126
http://hdl.handle.net/10220/19441
work_keys_str_mv AT chenchienming evaluatingecoefficiencywithdataenvelopmentanalysisananalyticalreexamination