The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Tightening Environmental Standards: The Benefit-Cost or the No-Cost Paradigm?
Open accessAbstract
This paper takes issue with the Porter-van der Linde claim that traditional benefit-cost analysis is a fundamental misrepresentation of the environmental problem. They contend that stringent environmental measures induce innovative efforts leading to improvements in abatement and production technologies that offset the costs of the regulations. Drawing both on basic economic theory and existing data on control costs, the authors argue that such offsets are special cases. The data indicate offsets are minuscule relative to control costs. There is no free lunch here: environmental programs must justify their costs by the benefits that improved environmental quality provides to society.
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Citations
Cites
Porter, M. E. (1991) · Scientific American · doi:10.1038/scientificamerican0491-168 · Cited by 1,540
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Greenwash vs. Brownwash: Exaggeration and Undue Modesty in Corporate Sustainability Disclosure
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Market responses to firms’ voluntary carbon disclosure: Empirical evidence from the United Kingdom
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Calel, R. (2020) · American Economic Journal: Economic Policy · doi:10.1257/pol.20180135 · Cited by 166
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Tools for comparative analysis of alternatives: Competing or complementary perspectives?
Hofstetter, P., Bare, J. C., Hammitt, J. K., Murphy, P. A., & Rice, G. E. (2002) · Risk Analysis · doi:10.1111/1539-6924.00255 · Cited by 58
Metadata
- Authors
- Palmer, K., Oates, W. E., & Portney, P. R.
- Venue
- Journal of Economic Perspectives
- Publisher
- American Economic Association
- Published
- 1995-11-01
- Volume
- 9
- Issue
- 4
- Pages
- 119-132
- ISSN
- 0895-3309 (ISSN-L)
- OpenAlex
- W2146006314
- Cited by
- 1,744
- References
- 1
- FWCI
- 48.32
- Type
- journal article
- Language
- en
- Open access
- bronze
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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.