The DOI matches its Crossref record; 33 of the 33 references it cites were found in a registry or an index.
The Costs of Carbon Sequestration: A Revealed-Preference Approach
Abstract
Increased concem by policy makers with the threat of global climate change has brought with it considerable attention to the possibility of encouraging the growth of forests as a means of sequestering carbon dioxide (National Academy of Sciences [NAS], 1992; James P. Bruce et al., 1996).1 The Kyoto Protocol to the United Nations Framework Convention on Climate Change (1997), which establishes emission reduction targets for the United States and other industrialized nations, states that carbon sequestration can be used by participating nations to achieve their targets. Moreover, even before the Kyoto agreement, this approach had become an explicit element of both U.S. and intemational climate policies (U.S. Department of Energy, 1991; United Nations General Assembly, 1992; William J. Clinton and Albert Gore, 1993). This high level of interest has been due, in part, to: suggestions that sufficient lands are available to use the approach to mitigate a substantial share of annual carbon dioxide (C02) emissions (Greg Marland, 1988; Daniel A. Lashof and Dennis A. Tirpak, 1989; Mark C. Trexler, 1991); and claims that growing trees to sequester carbon is a relatively inexpensive means of combating climate change (Roger A. Sedjo and Allen M. Solomon, 1989; Daniel J. Dudek and Alice LeBlanc, 1990; NAS, 1992). In other words, the serious attention given by policy makers to carbon sequestration can partly be explained by (implicit) assertions about respective marginal cost functions. I develop and demonstrate a method by which the costs of carbon sequestration can be estimated on the basis of evidence from landowners' behavior when confronted with the opportunity costs of alternative land uses. The simplest of previous economic analyses derived single point estimates of average costs associated with particular sequestration levels (Marland, 1988; Sedjo and Solomon, 1989; Dudek and LeBlanc, 1990; Edwin S. Rubin et al., 1992; Omar Masera et al., 1995). Often it has been assumed that land (opportunity) costs are zero (G. van Kooten et al., 1992; J. K. Winjum et al., 1992; New York State Energy Office, 1993; Robert K. Dixon et al, 1994). Another set of studies-essentially engineering/costing has constructed marginal cost schedules by using information on revenues and costs of production for altemative uses on representative types or locations of land, and then sorting these in ascending order of cost (Robert J. Moulton and Kenneth R. Richards, 1990; Richards et al., 1993). Simulation models include a model of the lost profits due to removing land from agricultural production (Peter J. Parks and Ian W. Hardie, 1995), a mathematical programming model of the agricultural sector and the timber market (Richard M. Adams et al, 1993), a related model incorporating the effects of agricultural price support programs (J. M. Callaway and Bruce McCarl, 1996), and a dynamic simulation model of forestry (Susan Swinehart, 1996). Lastly, an analysis by Andrew J. Plantinga (1995) adopts land-use elasticities from an econometric study to estimate sequestration costs. We draw on some of the best features of the previous studies, including the carbon levelization method of Moulton and Richards * John F. Kennedy School of Government, Harvard University, 79 John F. Kennedy Street, Cambridge, MA 02138, and Resources for the Future. Richard Newell supplied excellent research assistance; and valuable comments on a previous version were provided by Lawrence Goulder, William Nordhaus, Andrew Plantinga, Kenneth Richards, two anonymous referees, participants in seminars at the Universities of California at Los Angeles and Santa Barbara, the University of Maryland, the University of Michigan, the University of Texas, Harvard University, Stanford University, Yale University, Resources for the Future, and the National Bureau of Economic Research. The author alone is resDonsible for any errors. 1 After fossil-fuel combustion, deforestation is the second largest source of carbon dioxide emissions. Estimates of annual global emissions from deforestation range from 0.6 to 2.8 billion tons, compared with slightly less than 6.0 billion tons annually from fossil-fuel combustion, cement manufacturing, and natural gas flaring, combined (R. A. Houghton, 1991; T. M. Smith et al., 1993).
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
(2019) · AEA Papers and Proceedings · doi:10.1257/pandp.109.612 · Cited by 10,902
Journal of Economic Literature
(2019) · AEA Papers and Proceedings · doi:10.1257/pandp.109.633 · Cited by 7,468
Carbon pools and flux of global forest ecosystems
Dixon, R. K., Solomon, A. M., Brown, S., Houghton, R. A., Trexier, M. C., & Wisniewski, J. (1994) · Science · doi:10.1126/science.263.5144.185 · Cited by 3,403
Irreversibility, Uncertainty, and Investment
Pindyck, R. (1990) · National Bureau of Economic Research · doi:10.3386/w3307 · Cited by 2,403
Jaffe, A. B., & Peterson, S. R. (1995) · Journal of Economic Literature · Cited by 1,874
Christ, C. F., & Theil, H. (1962) · Econometrica · doi:10.2307/1911296 · Cited by 980
Effects on Carbon Storage of Conversion of Old-Growth Forests to Young Forests
Harmon, M. E., Ferrell, W. K., & Franklin, J. F. (1990) · Science · doi:10.1126/science.247.4943.699 · Cited by 819
Jaffe, A. B., & Stavins, R. N. (1995) · Journal of Environmental Economics and Management · doi:10.1006/jeem.1995.1060 · Cited by 666
Self-citationWhat Drives Deforestation in the Brazilian Amazon?
Pfaff, A. S. P. (1999) · Journal of Environmental Economics and Management · doi:10.1006/jeem.1998.1056 · Cited by 571
Effect of Carbon Taxes and Subsidies on Optimal Forest Rotation Age and Supply of Carbon Services
van Kooten, G. C., Binkley, C. S., & Delcourt, G. (1995) · American Journal of Agricultural Economics · doi:10.2307/1243546 · Cited by 487
Cited by
An Optimal Control Model of Forest Carbon Sequestration
Sohngen, B., & Mendelsohn, R. (2003) · American Journal of Agricultural Economics · doi:10.1111/1467-8276.00133 · Cited by 414
Environment and Statecraft: The Strategy of Environmental Treaty-Making
Barrett, S. (2005) · doi:10.1093/0199286094.001.0001 · Cited by 373
The Problem of the Commons: Still Unsettled after 100 Years
Stavins, R. N. (2011) · American Economic Review · doi:10.1257/aer.101.1.81 · Cited by 265
Self-citationPolicy design for forest carbon sequestration: A review of the literature
Gren, I.-M., & Aklilu, A. Z. (2016) · Forest Policy and Economics · doi:10.1016/j.forpol.2016.06.008 · Cited by 179
The Economics of Tropical Deforestation
Balboni, C., Berman, A., Burgess, R., & Olken, B. A. (2023) · Annual Review of Economics · doi:10.1146/annurev-economics-090622-024705 · Cited by 111
Metadata
- Authors
- Stavins, R. N.
- Venue
- American Economic Review
- Publisher
- American Economic Association
- Published
- 1999-09-01
- Volume
- 89
- Issue
- 4
- Pages
- 994-1009
- ISSN
- 0002-8282 (ISSN-L)
- OpenAlex
- W1983962787
- Cited by
- 443
- References
- 33
- FWCI
- 30.41
- Type
- journal article
- Language
- en
- Open access
- closed
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: The Costs of Carbon Sequestration: A Revealed-Preference Approach. https://app.cochat.ai/papers/10.1257/aer.89.4.994
- The paper
- Stavins, R. N. (1999). The Costs of Carbon Sequestration: A Revealed-Preference Approach. American Economic Review. https://doi.org/10.1257/aer.89.4.994
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.