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On modeling pollution-generating technologies: a new formulation of the by-production approach

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  • Dakpo, K Hervé

Abstract

We contribute to the literature on undesirable-output technology modeling by first discussing the limits of the recently proposed by-production approach of Murty et al. (2012) (hereafter we will refer to these authors as MRL) and second by proposing some possible extensions. We identify two theoretical limits and two practical drawbacks when using Data Envelopment Analysis (DEA) with this approach. Theoretically, MRL’s by-production model is based on estimating two sub-technologies, one representing good outputs and the other one representing undesirable outputs. However, MRL assume independence of the sub-frontiers. In our paper, by contrast, we discuss the importance and implications of considering that all production processes are interconnected and should not be considered separately. Among the three extensions proposed, we argue that the introduction of some dependence constraints that link the two sub-technologies considered in this framework is very powerful. The two by-production approaches, MRL’s and ours, are discussed under the restrictive assumption of fixed levels of inputs and under the flexible case of free choice of polluting input quantities. An application to a sample of 112 countries reveals that MRL model gives higher inefficiency scores compared to our extension with dependence constraints.

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  • Dakpo, K Hervé, 2016. "On modeling pollution-generating technologies: a new formulation of the by-production approach," Working Papers 245191, Institut National de la recherche Agronomique (INRA), Departement Sciences Sociales, Agriculture et Alimentation, Espace et Environnement (SAE2).
  • Handle: RePEc:ags:inrasl:245191
    DOI: 10.22004/ag.econ.245191
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    5. Andreas Eder, 2021. "Environmental efficiency measurement when producers control pollutants under heterogeneous conditions: a generalization of the materials balance approach," Working Papers 752021, University of Natural Resources and Life Sciences, Vienna, Department of Economics and Social Sciences, Institute for Sustainable Economic Development.
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