The DOI matches its Crossref record; 30 of the 30 references it cites were found in a registry or an index.
On modeling pollution-generating technologies
Open accessAbstract
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.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
The Measurement of Productive Efficiency
Farrell, M. J. (1957) · Journal of the Royal Statistical Society. Series A (General) · doi:10.2307/2343100 · Cited by 16,038
Productivity and Undesirable Outputs: A Directional Distance Function Approach
Chung, Y. H., Färe, R., & Grosskopf, S. (1997) · Journal of Environmental Management · doi:10.1006/jema.1997.0146 · Cited by 2,949
The Theory of Environmental Policy
Baumol, W. J., & Oates, W. E. (1988) · Cambridge University Press eBooks · doi:10.1017/cbo9781139173513 · Cited by 2,845
The Measurement of Efficiency of Production
Färe, R., Grosskopf, S., & Lovell, C. A. K. (1985) · Springer eBooks · doi:10.1007/978-94-015-7721-2 · Cited by 2,137
Index numbers and indifference surfaces
Malmquist, S. (1953) · Trabajos de Estadistica · doi:10.1007/bf03006863 · Cited by 2,097
Multilateral Productivity Comparisons When Some Outputs are Undesirable: A Nonparametric Approach
Faere, R., Grosskopf, S., Lovell, C. A. K., & Pasurka, C. (1989) · The Review of Economics and Statistics · doi:10.2307/1928055 · Cited by 1,895
Shephard, R. W. (1981) · Lecture Notes in Economics and Mathematical Systems · doi:10.1007/978-3-642-51578-1 · Cited by 1,890
Benefit and Distance Functions
Chambers, R. G., Chung, Y., & Färe, R. (1996) · Journal of Economic Theory · doi:10.1006/jeth.1996.0096 · Cited by 1,408
Environmental Economics: A Survey
Cropper, M. L., & Oates, W. E. (1996) · The Economics of Environmental regulation · doi:10.4337/9781782542513.00034 · Cited by 1,384
Multi-Output Production and Duality: Theory and Applications
Färe, R. G., & Primont, D. (1995) · Springer eBooks · doi:10.1007/978-94-011-0651-1 · Cited by 1,309
Cited by
Zhou, H., Yang, Y., Chen, Y., & Zhu, J. (2018) · European Journal of Operational Research · doi:10.1016/j.ejor.2017.06.023 · Cited by 359
Dakpo, K. H., Jeanneaux, P., & Latruffe, L. (2016) · European Journal of Operational Research · doi:10.1016/j.ejor.2015.07.024 · Cited by 321
Cui, Q., Wei, Y.-M., & Li, Y. (2016) · Applied Energy · doi:10.1016/j.apenergy.2016.09.048 · Cited by 81
Farm Advisory Services and total factor productivity growth in the Irish dairy sector
Parikoglou, I., Emvalomatis, G., Thorne, F., & Wallace, M. (2023) · European Review of Agricultural Economics · doi:10.1093/erae/jbac024 · Cited by 8
Metadata
- Authors
- Murty, S., Robert Russell, R., & Levkoff, S. B.
- Venue
- Journal of Environmental Economics and Management
- Publisher
- Elsevier BV
- Published
- 2012-07
- Volume
- 64
- Issue
- 1
- Pages
- 117-135
- ISSN
- 0095-0696 (ISSN-L)
- OpenAlex
- W2156600585
- Cited by
- 538
- References
- 30
- FWCI
- 23.48
- Type
- journal article
- Language
- en
- Open access
- hybrid
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: On modeling pollution-generating technologies. https://app.cochat.ai/papers/10.1016/j.jeem.2012.02.005
- The paper
- Murty, S., Robert Russell, R., & Levkoff, S. B. (2012). On modeling pollution-generating technologies. Journal of Environmental Economics and Management. https://doi.org/10.1016/j.jeem.2012.02.005
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
