Abstract
In 2010, the U.S. government adopted its first consistent estimates of the social cost of carbon (SCC) for government-wide use in regulatory cost-benefit analysis. Here, the authors examine a number of limitations of the estimates identified in the U.S. government report and elsewhere and review recent advances that could pave the way for improvements. The authors consider in turn socio-economic scenarios, treatment of physical climate response, damage estimates, ways of incorporating risk aversion, and consistency between SCC estimates and broader climate policy.
References
Ackerman, F., Stanton, E., and Bueno, R. (2010). Fat tails, exponents, extreme uncertainty: Simulating catastrophe in DICE. Ecological Economics, 69(8): 1657–1665. doi 10.1016/j.ecolecon.2010.03.013. urlhttp://ideas.repec.org/a/eee/ecolec/v69y2010i8p1657-1665.html.Search in Google Scholar
Anthoff, D., and Tol, R. (2010). The climate framework for uncertainty, negotiation and distribution (FUND), technical description, version 3.5. Discussion paper. urlhttp://www.fund-model.org/.Search in Google Scholar
Anthoff, D., Tol, R., and Yohe, G. (2009). Risk aversion, time preference, and the social cost of carbon. Environmental Research Letters, 4(2): 024002. doi 10.1088/1748-9326/4/2/024002. urlhttp://ideas.repec.org/p/esr/wpaper/wp252.html.Search in Google Scholar
Archer, D., Eby, M., Brovkin, V., Ridgwell, A., Cao, L., Mikolajewicz, U., Caldeira, K., Matsumoto, K., Munhoven, G., Montenegro, A., and Tokos, K. (2009). Atmospheric lifetime of fossil fuel carbon dioxide. Annual Review of Earth and Planetary Sciences, 37(1): 117–134. doi 10.1146/annurev.earth.031208.100206.Search in Google Scholar
Atkinson, G., Dietz, S., Helgeson, J., Hepburn, C., and Sælen, H. (2009). Siblings, not triplets: Social preferences for risk, inequality and time in discounting climate change. Economics: The Open-Access, Open-Assessment E-Journal, 3: 2009–26. doi 10.5018/economics-ejournal.ja.2009-26. urlhttp://www.economics-ejournal.org/economics/journalarticles/2009-26.Search in Google Scholar
Azar, C., and Lindgren, K. (2003). Catastrophic events and stochastic costbenefit analysis of climate change. Climatic Change, 56(3): 245–255. doi 10.1023/A:1021743622080.Search in Google Scholar
Baumol, W. (1972). On taxation and the control of externalities. American Economic Review, 62(3): 307–322. urlhttp://ideas.repec.org/a/aea/aecrev/v62y1972i3p307-22.html.Search in Google Scholar
Calvin, K., Clarke, L., Edmonds, J., Kyle, P., Luckow, P., Thomson, A., and Wise, M. (in rev.). Climate impacts in GCAM: mitigation, adaptation and agriculture. Climatic Change.Search in Google Scholar
Clarke, L. (2009). Overview of EMF 22 international scenarios. urlhttp://emf.stanford.edu/events/emf_briefing_on_climate_policy_scenarios_us_domestic_and_international_policy_architectures/.Search in Google Scholar
Clarke, L. (2010). Representation of climate impacts in GCAM. In Improving the assessment and valuation of climate change impacts for policy and regulatory analysis: modeling climate change impacts and associated economic damages. U.S. Environmental Protection Agency and U.S. Department of Energy. urlhttp://go.usa.gov/rMO.Search in Google Scholar
Cooke, R. M. (in rev.). Uncertainty analysis comes to integrated assessment models for climate change... and conversely. Climatic Change.Search in Google Scholar
Crost, B., and Traeger, C. (2011). Risk and aversion in the integrated assessment of climate change. CUDARE Working Paper 1104R. urlhttp://www.escholarship.org/uc/item/1562s275.Search in Google Scholar
Dell, M., Jones, B., and Olken, B. A. (2009). Temperature and income: Reconciling new cross-sectional and panel estimates. American Economic Review, 99(2): 198–204. doi 10.1257/aer.99.2.198.Search in Google Scholar
Dietz, S. (2011). High impact, low probability? An empirical analysis of risk in the economics of climate change. Climatic Change, 108: 519–541. doi 10.1007/s10584-010-9993-4.Search in Google Scholar
Epstein, P., Buonocore, J. J., Eckerle, K., Hendryx, M., Stout III, B., Heinberg, R., Clapp, R., May, B., Reinhart, N., Ahern, M., Doshi, S., and Glustrom, L. (2011). Full cost accounting for the life cycle of coal. Annals of the New York Academy of Sciences, 1219(1): 73–98. doi 10.1111/j.1749-6632.2010.05890.x.Search in Google Scholar
Fedorov, A., Dekens, P., McCarthy, M., Ravelo, A., deMenocal, P., Barreiro, M., Pacanowski, R., and Philander, S. (2006). The Pliocene paradox (Mechanisms for a permanent El Niño). Science, 312(5779): 1485–1489. doi 10.1126/science.1122666.Search in Google Scholar
Hegerl, G. C., Zwiers, F. W., Braconnot, P., Gillett, N. P., Luo, Y., Marengo Orsini, J. A., Nicholls, N., Penner, J. E., and Stott, P. A. (2007). Understanding and attributing climate change. In S. Solomon, D. Qin, M. Manning, Z. Chen, M. Marquis, K. B. Averyt, M. Tignor, and H. L. Miller (Eds.), Climate Change 2007: The Physical Science Basis. Cambridge, United Kingdom: Cambridge University Press. urlhttp://www.ipcc.ch/publications_and_data/ar4/wg1/en/ch9.html.Search in Google Scholar
Hof, A., Hope, C., Lowe, J., Mastrandrea, M., Meinshausen, M., and Vuuren, D. (2011). The benefits of climate change mitigation in integrated assessment models: the role of the carbon cycle and climate component. Climatic Change. doi 10.1007/s10584-011-0363-7.Search in Google Scholar
Hope, C. (2006). The marginal impact of CO2 from PAGE2002: An integrated assessment model incorporating the IPCC’s five reasons for concern. Integrated Assessment, 6(1): 19–56. urlhttp://journals.sfu.ca/int_assess/index.php/iaj/article/viewArticle/227.Search in Google Scholar
Interagency Working Group on the Social Cost of Carbon, U. S. G. (2010). Appendix 15a. Social cost of carbon for regulatory impact analysis under Executive Order 12866. In Final Rule Technical Support Document (TSD): Energy Efficiency Program for Commercial and Industrial Equipment: Small Electric Motors. U.S. Department of Energy. urlhttp://go.usa.gov/3fH.Search in Google Scholar
Intergovernmental Panel on Climate Change (2000). Special report on emissions scenarios. Cambridge, United Kingdom: Cambridge University Press. urlhttp://www.ipcc.ch/ipccreports/sres/emission/index.php?idp=0.Search in Google Scholar
Kaplow, L., Moyer, E., and Weisbach, D. (2010). The social evaluation of intergenerational policies and its application to integrated assessment models of climate change. The B.E. Journal of Economic Analysis & Policy, 10(2). doi 10.2202/1935-1682.2519.10.2202/1935-1682.2519Search in Google Scholar
Kaufman, N. (2011). The bias of integrated assessment models that ignore climate catastrophes. Climatic Change. doi 10.1007/s10584-011-0140-7.Search in Google Scholar
Keller, K., Hall, M., Kim, S.-R., Bradford, D., and Oppenheimer, M. (2005). Avoiding dangerous anthropogenic interference with the climate system. Climatic Change, 73(3): 227–238. doi 10.1007/s10584-005-0426-8.Search in Google Scholar
Kopp, R., Golub, A., Keohane, N., and Onda, C. (2012). The influence of the specification of climate change damages on the social cost of carbon. Economics: The Open-Access, Open-Assessment E-Journal, 6: 2012–13. doi 10.5018/economics-ejournal.ja.2012-13. urlhttp://www.economics-ejournal.org/economics/journalarticles/2012-13.Search in Google Scholar
Kopp, R., Simons, F., Mitrovica, J., Maloof, A., and Oppenheimer, M. (2009). Probabilistic assessment of sea level during the last interglacial stage. Nature, 462(7275): 863–867. doi 10.1038/nature08686.Search in Google Scholar
Kousky, C., Kopp, R., and Cooke, R. (2011). Risk premia and the social cost of carbon: a review. Economics: The Open-Access, Open-Assessment E-Journal, 5: 2011–21. doi 10.5018/economics-ejournal.ja.2011-21. urlhttp://www.economics-ejournal.org/economics/journalarticles/2011-21.Search in Google Scholar
Kriegler, E., Hall, J., Held, H., Dawson, R., and Schellnhuber, H. (2009). Imprecise probability assessment of tipping points in the climate system. Proceedings of the National Academy of Sciences, 106(13): 5041–5046. doi 10.1073/pnas.0809117106.Search in Google Scholar
Kriegler, E., O’Neill, B., Hallegatte, S., Kram, T., Lempert, R., Moss, R., and Wilbanks, T. (2010). Socio-economic scenario development for climate change analysis. urlhttp://www.ipcc-wg3.de/meetings/expert-meetings-and-workshops/WoSES.Search in Google Scholar
Lempert, R., and Collins, M. (2007). Managing the risk of uncertain threshold responses: comparison of robust, optimum, and precautionary approaches. Risk Analysis, 27(4): 1009–1026. doi 10.1111/j.1539-6924.2007.00940.x.Search in Google Scholar
Lempert, R., Schlesinger, M., Bankes, S., and Andronova, N. (2000). The impacts of climate variability on near-term policy choices and the value of information. Climatic Change, 45(1): 129–161. doi 10.1023/A:1005697118423.Search in Google Scholar
Lenton, T., Footitt, A., and Dlugolecki, A. (2009). Major tipping points in the earth’s climate system and consequences for the insurance sector.WorldWildlife Fund and Allianz SE. urlhttps://www.allianz.com/static-resources/en/press/media/documents/tipping_points.pdf.Search in Google Scholar
Lenton, T., Held, H., Kriegler, E., Hall, J., Lucht, W., Rahmstorf, S., and Schellnhuber, H. (2008). Tipping elements in the Earth’s climate system. Proceedings of the National Academy of Sciences, 105(6): 1786–1793. doi 10.1073/pnas.0705414105.Search in Google Scholar
Lobell, D., Schlenker, W., and Costa-Roberts, J. (2011). Climate trends and global crop production since 1980. Science, 333(6042): 616–620. doi 10.1126/science.1204531.Search in Google Scholar
Marten, A. (2011). Transient temperature response modeling in IAMs: The effects of oversimplication on the SCC. Economics: The Open-Access, Open-Assessment E-Journal, pages 2011–18. doi 10.5018/economicsejournal. ja.2011-18. urlhttp://www.economics-ejournal.org/economics/journalarticles/2011-18.Search in Google Scholar
Masur, J., and Posner, E. (2011). Climate regulation and the limits of cost-benefit analysis. California Law Review, 99: 1557–1600. urlhttp://papers.ssrn.com/sol3/papers.cfm?abstract_id=1662147.Search in Google Scholar
McInerney, D., Lempert, R., and Keller, K. (2012). What are robust strategies in the face of uncertain climate threshold responses? Climatic Change. doi 10.1007/s10584-011-0377-1.Search in Google Scholar
Meinshausen, M., Raper, S., andWigley, T. (2011). Emulating coupled atmosphereocean and carbon cycle models with a simpler model, MAGICC6 - Part 1: Model description and calibration. Atmos. Chem. Phys., 11(4): 1417–1456. doi 10.5194/acp-11-1417-2011.Search in Google Scholar
Monier, E., Scott, J., Sokolov, A., Forest, C., and Schlosser, C. (2011). The MIT IGSM-CAM framework for uncertainty studies in global and regional climate change. AGU Fall Meeting Abstracts. urlhttp://adsabs.harvard.edu/abs/2011AGUFMGC22C..08M.Search in Google Scholar
Muller, N., Mendelsohn, R., and Nordhaus, W. (2011). Environmental accounting for pollution in the United States economy. American Economic Review, 101(5): 1649–1675. doi 10.1257/aer.101.5.1649.Search in Google Scholar
Nordhaus, W. (1994). Expert opinion on climatic change. American Scientist, 82(1): 45–51. urlhttp://www.osti.gov/energycitations/product.biblio.jsp?osti_id=5458592.Search in Google Scholar
Nordhaus,W. (2007). Accompanying Notes and Documentation on Development of DICE-2007 Model. urlhttp://nordhaus.econ.yale.edu/Accom_Notes_100507.pdf.Search in Google Scholar
Nordhaus, W. (2008). A question of balance: weighing the options on global warming policies. New Haven, CT: Yale University Press. urlhttp://nordhaus.econ.yale.edu/Balance_2nd_proofs.pdf.Search in Google Scholar
Nordhaus, W. (2010). Economic aspects of global warming in a post-Copenhagen environment. Proceedings of the National Academy of Sciences, 107(26): 11721–11726. doi 10.1073/pnas.1005985107.Search in Google Scholar
Nordhaus, W., and Boyer, J. (2000). Warming the world: Economic models of global warming. Cambridge, MA: The MIT Press.Search in Google Scholar
O’Neill, B. (2010). Multi-century scenario development and socioeconomic uncertainty. In Improving the Assessment and Valuation of Climate Change Impacts for Policy and Regulatory Analysis: Modeling Climate Change Impacts and Associated Economic Damages. U.S. Environmental Protection Agency and U.S. Department of Energy. urlhttp://go.usa.gov/rMO.Search in Google Scholar
O’Neill, B., Dalton, M., Fuchs, R., Jiang, L., Pachauri, S., and Zigova, K. (2010). Global demographic trends and future carbon emissions. Proceedings of the National Academy of Sciences, 107(41): 17521–17526. doi 10.1073/pnas.1004581107.Search in Google Scholar
Oppenheimer, M., and Petsonk, A. (2005). Article 2 of the UNFCCC: historical origins, recent interpretations. Climatic Change, 73(3): 195–226. doi 10.1007/s10584-005-0434-8.Search in Google Scholar
Ramsey, F. (1928). A mathematical theory of saving. The Economic Journal, 38(152): 543–559. doi 10.2307/2224098.Search in Google Scholar
Randall, D. A., Wood, R. A., Bony, S., Colman, R., Fichefet, T., Fyfe, J., Kattsov, V., Pitman, A., Shukla, J., Srinivasan, J., Stouffer, R. J., Sumi, A., and Taylor, K. E. (2007). Climate models and their evaluation. In S. Solomon, D. Qin, M. Manning, Z. Chen, M. Marquis, K. B. Averyt, M. Tignor, and H. L. Miller (Eds.), Climate Change 2007: The Physical Science Basis. Cambridge, United Kingdom: Cambridge University Press. urlhttp://www.ipcc.ch/publications_and_data/ar4/wg1/en/ch8.html.Search in Google Scholar
Reilly, J., Paltsev, S., Stezepek, K., Selin, N. E., Cai, Y., Nam, K.-M., Monier, E., Dutkiewicz, S., Scott, J., Webster, M., and Sokolov, A. (in rev.). Valuing climate impacts in integrated assessment models: the MIT IGSM. Climatic Change.Search in Google Scholar
Roe, G. (2010). Knowability and no ability in climate projections. In Improving the Assessment and Valuation of Climate Change Impacts for Policy and Regulatory Analysis: Modeling Climate Change Impacts and Associated Economic Damages. U.S. Environmental Protection Agency and U.S. Department of Energy. urlhttp://go.usa.gov/rMO.Search in Google Scholar
Sherwood, S., and Huber, M. (2010). An adaptability limit to climate change due to heat stress. Proceedings of the National Academy of Sciences, 107(21): 9552–9555. doi 10.1073/pnas.0913352107.Search in Google Scholar
Sokolov, A., Schlosser, C., Dutkiewicz, S., Paltsev, S., Kicklighter, D., Jacoby, H., Prinn, R., Forest, C., Reilly, J. M., Wang, C., Felzer, B., Sarofim, M., Scott, J., Stone, P., Melillo, J. M., and Cohen, J. (2005). The MIT Integrated Global System Model (IGSM) Version 2: Model description and baseline evaluation. Joint Program Report 124, Massachusetts Institute of Technology. urlhttp://globalchange.mit.edu/pubs/abstract.php?publication_id=696.Search in Google Scholar
Stern, N. (2007). The economics of climate change: the Stern review. Cambridge University Press.10.1017/CBO9780511817434Search in Google Scholar
Sterner, T., and Persson, U. (2008). An even Sterner review: Introducing relative prices into the discounting debate. Review of Environmental Economics and Policy, 2(1): 61–76. doi 10.1093/reep/rem024.Search in Google Scholar
Stott, P., Mitchell, J., Allen, M., Delworth, T., Gregory, J., Meehl, G., and Santer, B. (2006). Observational constraints on past attributable warming and predictions of future global warming. Journal of Climate, 19(13): 3055–3069. doi 10.1175/JCLI3802.1.Search in Google Scholar
Tol, R. (1997). On the optimal control of carbon dioxide emissions: an application of FUND. Environmental Modeling and Assessment, 2(3): 151–163. doi 10.1023/A:1019017529030.Search in Google Scholar
Traeger, C. (2009). Recent developments in the intertemporal modeling of uncertainty. Annual Review of Resource Economics, 1(1): 261–286. doi 10.1146/annurev.resource.050708.144242.Search in Google Scholar
U.K. Department of Energy and Climate Change (2009). Carbon valuation in U.K. policy appraisal: A revised approach. urlhttp://www.decc.gov.uk/assets/decc/what%20we%20do/a%20low%20carbon%20uk/carbon%20valuation/1_20090715105804_e_@@_carbonvaluationinukpolicyappraisal.pdf.Search in Google Scholar
United Nations (1992). United Nations Framework Convention on Climate Change. urlhttp://unfccc.int/essential_background/convention/background/items/2853.php.Search in Google Scholar
United Nations Department of Economics and Social Affairs (2004). World Population in 2300. ESA/P/WP.187/Rev.1. New York. urlhttp://www.un.org/esa/population/publications/longrange2/2004worldpop2300reportfinalc.pdf.Search in Google Scholar
United Nations Department of Economics and Social Affairs (2011). World Population Prospects: The 2010 Revision. ESA/P/WP.220. New York. urlhttp://esa.un.org/unpd/wpp/Documentation/pdf/WPP2010_Highlights.pdf.Search in Google Scholar
United Nations Framework Convention on Climate Change (2010). The Cancun Agreements: Outcome of the work of the Ad Hoc Working Group on Long-term Cooperative Action under the Convention. urlhttp://unfccc.int/resource/docs/2010/cop16/eng/07a01.pdf.Search in Google Scholar
U.S. Department of Energy (2010a). Energy conservation program: Energy conservation standards for small electric motors; Final Rule. Federal Register, 75(45): 10874–10948. urlhttp://www1.eere.energy.gov/buildings/appliance_standards/commercial/small_electric_motors.html.Search in Google Scholar
U.S. Department of Energy (2010b). Energy conservation program: Energy conservation standards for residential water heaters, direct heating equipment, and pool heaters; Final Rule. Federal Register, 75(73): 20112–20236. urlhttp://www1.eere.energy.gov/buildings/appliance_standards/residential/heating_products_fr.html.Search in Google Scholar
U.S. Department of State (2010). U.S. Submission Under the Copenhagen Accord. urlhttp://unfccc.int/files/meetings/cop_15/copenhagen_accord/application/pdf/unitedstatescphaccord_app.1.pdf.Search in Google Scholar
U.S. Energy Information Administration (2011a). Electric power annual 2009. DOE/EIA-0348(2009). urlhttp://www.eia.doe.gov/cneaf/electricity/epa/epa_sum.html.Search in Google Scholar
U.S. Energy Information Administration (2011b). Emissions of greenhouse gases in the United States 2009. DOE/EIA-0573(2009). urlhttp://www.eia.gov/environment/emissions/ghg_report/.Search in Google Scholar
van Vuuren, D., Lowe, J., Stehfest, E., Gohar, L., Hof, A., Hope, C., Warren, R., Meinshausen, M., and Plattner, G. (2011). How well do integrated assessment models simulate climate change? Climatic Change, 104(2): 255–285. doi 10.1007/s10584-009-9764-2.Search in Google Scholar
Warren, R. (2011). The role of interactions in a world implementing adaptation and mitigation solutions to climate change. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 369(1934): 217–241. doi 10.1098/rsta.2010.0271.Search in Google Scholar
Warren, R., Mastrandrea, M., Hope, C., and Hof, A. (2010). Variation in the climatic response to SRES emissions scenarios in integrated assessment models. Climatic Change, 102(3-4): 671–785. doi 10.1007/s10584-009-9769-x.Search in Google Scholar
Weitzman, M. (2009). On modeling and interpreting the economics of catastrophic climate change. The Review of Economics and Statistics, 91(1): 1–19. doi 10.1162/rest.91.1.1.Search in Google Scholar
Weitzman, M. (2010). What is the “damages function” for global warming – and what difference might it make? Climate Change Economics, 01(01): 57–69. doi 10.1142/S2010007810000042.Search in Google Scholar
Wing, I. (2010). Sectoral and regional disaggregation and interactions. In Improving the Assessment and Valuation of Climate Change Impacts for Policy and Regulatory Analysis: Modeling Climate Change Impacts and Associated Economic Damages. U.S. Environmental Protection Agency and U.S. Department of Energy. urlhttp://go.usa.gov/rMO.Search in Google Scholar
Zachos, J., Dickens, G., and Zeebe, R. (2008). An early Cenozoic perspective on greenhouse warming and carbon-cycle dynamics. Nature, 451(7176): 279–283. doi 10.1038/nature06588.Search in Google Scholar
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