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Too Many Proposals Pass the Benefit Cost Test
Abstract
Making the Environment Count brings together, in one accessible volume, an outstanding selection of Alan Randall’s essays published over the past 30 years. It explores ideas on making the environment count from a conceptual perspective and addresses a range of topics pertinent to the study of environmental economics including:
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Citations
Cited by
Contingent Valuation: Is Some Number Better than No Number?
Diamond, P. A., & Hausman, J. A. (1994) · Journal of Economic Perspectives · doi:10.1257/jep.8.4.45 · Cited by 1,894
Valuing the Environment Through Contingent Valuation
Hanemann, W. M. (1994) · Journal of Economic Perspectives · doi:10.1257/jep.8.4.19 · Cited by 1,640
Loomis, J., Kent, P., Strange, L., Fausch, K., & Covich, A. (2000) · Ecological Economics · doi:10.1016/s0921-8009(99)00131-7 · Cited by 789
Many objective robust decision making for complex environmental systems undergoing change
Kasprzyk, J. R., Nataraj, S., Reed, P. M., & Lempert, R. J. (2013) · Environmental Modelling & Software · doi:10.1016/j.envsoft.2012.12.007 · Cited by 508
Metadata
- Authors
- Hoehn, J. P., & Randall, A.
- Venue
- Making the Environment Count
- Publisher
- Edward Elgar Publishing
- Published
- 1999-08-26
- Pages
- 60-68
- OpenAlex
- W1575147782
- Cited by
- 221
- References
- 0
- FWCI
- 89.30
- Type
- book chapter
- Language
- en
- Open access
- closed
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How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
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- CoChat. (2026). Citation check: Too Many Proposals Pass the Benefit Cost Test. https://app.cochat.ai/papers/10.4337/9781035303946.00014
- The paper
- Hoehn, J. P., & Randall, A. (1999). Too Many Proposals Pass the Benefit Cost Test. Making the Environment Count. https://doi.org/10.4337/9781035303946.00014
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.