The DOI matches its Crossref record; 23 of the 23 references it cites were found in a registry or an index.
Designing a Carbon Tax to Reduce U.S. Greenhouse Gas Emissions
Abstract
This article describes a revenue and distributionally neutral approach to reducing U.S. greenhouse gas emissions that uses a carbon tax. The revenue from the carbon tax is used to finance an environmental earned income tax credit designed to be distributionally neutral. The credit is linked to earned income and helps offset the regressivity of the carbon tax. The carbon tax reform proposal is also revenue neutral and avoids conflating carbon policy with debates over the appropriate size of the federal budget. The article provides a distributional analysis of the proposal and also makes a number of political, economic, and administrative arguments in favor of a carbon tax and responds to the arguments that have commonly been made against using a tax-based approach to reducing U.S. emissions.
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Cites
Climate Change 2007: Mitigation of Climate Change
Change, I. P. O. C. (2007) · Cambridge University Press eBooks · doi:10.1017/cbo9780511546013 · Cited by 7,729
(2012) · American Economic Review · doi:10.1257/aer.102.7.i · Cited by 6,810
The Economics of Climate Change
Stern, N. (2010) · Climate Ethics · doi:10.1093/oso/9780195399622.003.0010 · Cited by 2,702
Weitzman, M. L. (1974) · The Review of Economic Studies · doi:10.2307/2296698 · Cited by 2,071
Doppelt, L. F. (1980) · Cited by 1,119
Environmental taxation and the double dividend: A reader's guide
Goulder, L. H. (1995) · International Tax and Public Finance · doi:10.1007/bf00877495 · Cited by 942
Environmental Taxation and the “Double Dividend:” A Reader’s Guide
Goulder, L. H. (1995) · Public Economics and the Environment in an Imperfect World · doi:10.1007/978-94-011-0661-0_14 · Cited by 907
Welfare, the Earned Income Tax Credit, and the Labor Supply of Single Mothers
Meyer, B. D., & Rosenbaum, D. T. (2001) · The Quarterly Journal of Economics · doi:10.1162/00335530152466313 · Cited by 815
Does Britain or the United States Have the Right Gasoline Tax?
Parry, I. W. H., & Small, K. A. (2005) · American Economic Review · doi:10.1257/0002828054825510 · Cited by 753
Welfare, the Earned Income Tax Credit, and the Labor Supply of Single Mothers
Meyer, B., & Rosenbaum, D. (1999) · National Bureau of Economic Research · doi:10.3386/w7363 · Cited by 699
Cited by
Economic aspects of global warming in a post-Copenhagen environment
Nordhaus, W. D. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1005985107 · Cited by 593
Overcoming public resistance to carbon taxes
Carattini, S., Carvalho, M., & Fankhauser, S. (2018) · WIREs Climate Change · doi:10.1002/wcc.531 · Cited by 455
Public acceptability of personal carbon trading and carbon tax
Bristow, A. L., Wardman, M., Zanni, A. M., & Chintakayala, P. K. (2010) · Ecological Economics · doi:10.1016/j.ecolecon.2010.04.021 · Cited by 230
Psychological Barriers to Bipartisan Public Support for Climate Policy
Van Boven, L., Ehret, P. J., & Sherman, D. K. (2018) · Perspectives on Psychological Science · doi:10.1177/1745691617748966 · Cited by 228
Autonomous electric vehicles can reduce carbon emissions and air pollution in cities
Ercan, T., Onat, N. C., Keya, N., Tatari, O., Eluru, N., & Kucukvar, M. (2022) · Transportation Research Part D: Transport and Environment · doi:10.1016/j.trd.2022.103472 · Cited by 184
Metadata
- Authors
- Metcalf, G. E.
- Venue
- Review of Environmental Economics and Policy
- Publisher
- University of Chicago Press
- Published
- 2009-01-01
- Volume
- 3
- Issue
- 1
- Pages
- 63-83
- ISSN
- 1750-6816 (ISSN-L)
- 1750-6824
- OpenAlex
- W2004162832
- Cited by
- 296
- References
- 23
- FWCI
- 31.85
- Type
- journal article
- Language
- en
- Open access
- closed
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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.
