On modeling pollution-generating technologies

We argue analytically that many commonly used models of pollution-generating technologies, which treat pollution as a freely disposable input or as a weakly disposable and null-joint output, may generate unacceptable implications for the trade-offs among inputs, outputs, and pollution. We show that...

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Bibliographic Details
Published in:Journal of environmental economics and management Vol. 64; no. 1; pp. 117 - 135
Main Authors: Murty, Sushama, Robert Russell, R., Levkoff, Steven B.
Format: Journal Article
Language:English
Published: New York Elsevier Inc 01-07-2012
Elsevier Science Publishing Company, Inc
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Summary:We argue analytically that many commonly used models of pollution-generating technologies, which treat pollution as a freely disposable input or as a weakly disposable and null-joint output, may generate unacceptable implications for the trade-offs among inputs, outputs, and pollution. We show that the correct trade-offs in production are best captured if a pollution-generating technology is modeled as an intersection of an intended-production technology of the firm and nature's residual-generation set. The former satisfies standard disposability properties, while the latter violates free (strong) disposability of pollution and pollution-causing inputs. As a result, the intersection—which we call a by-production technology—violates standard free disposability of pollution and pollution-causing inputs. Employing data envelopment analysis on an electric-power-plant database, we illustrate shortcomings, under by-production, of two popular efficiency indexes: the hyperbolic and directional-distance-function indexes. We propose and implement an alternative index with superior properties. Under by-production, most efficiency indexes decompose very naturally into intended-production and environmental efficiency indexes. This decomposition is difficult to find under alternative specifications of pollution-generating technologies.
Bibliography:ObjectType-Article-2
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ISSN:0095-0696
1096-0449
DOI:10.1016/j.jeem.2012.02.005