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Integrated assessment of climate change: state of the literature

  • John Weyant EMAIL logo

Abstract

This paper reviews applications of benefit-cost analysis (BCA) in climate policy assessment at the US national and global scales. Two different but related major application types are addressed. First there are global-scale analyses that focus on calculating optimal global carbon emissions trajectories and carbon prices that maximize global welfare. The second application is the use of the same tools to compute the social cost of carbon (SCC) for use in US regulatory processes. The SCC is defined as the climate damages attributable to an increase of one metric ton of carbon dioxide emissions above a baseline emissions trajectory that assumes no new climate policies. The paper describes the three main quantitative models that have been used in the optimal carbon policy and SCC calculations and then summarizes the range of results that have been produced using them. The results span an extremely broad range (up to an order of magnitude) across modeling platforms as well as across the plausible ranges of input assumptions to a single model. This broad range of results sets the stage for a discussion of the five key challenges that face BCA practitioners participating in the national and global climate change policy analysis arenas: (1) including the possibility of catastrophic outcomes; (2) factoring in equity and income distribution considerations; (3) addressing intertemporal discounting and intergenerational equity; (4) projecting baseline demographics, technological change, and policies inside and outside the energy sector; and (5) characterizing the full set of uncertainties to be dealt with and designing a decision-making process that updates and adapts new scientific and economic information into that process in a timely and productive manner. The paper closes by describing how the BCA models have been useful in climate policy discussions to date despite the uncertainties that pervade the results that have been produced.


Corresponding author: John Weyant, Department of Management Science and Engineering, Room 260, Huang Engineering Center, Stanford University, Stanford, CA 94305-4026, USA, Phone: +1 650 723 0645, Fax: +1 650 723 3506, e-mail:

Acknowledgments

The author thanks David Anthoff, Chris Hope, Jia Li, William Nordhaus, Richard Richels, Steve Rose, Fran Sussman, James Sweeney, Richard Tol, Delavane Turner and two excellent anonymous reviewers for suggestions on this paper.

References

Ackerman, F., & Stanton, E. A. (2010). The social cost of carbon: A report for the economics for equity and the environment network. Sommerville, MA: Stockholm Environment Institute – U.S. Center. Retrieved from http://www.climate-economics.org/papers/SocialCostOfCarbon_SEI_20100401.pdf.Search in Google Scholar

Ackerman, F., & Stanton, E. (2012). Climate risks and carbon prices: Revising the social cost of carbon. Economics: The Open-Access, Open-Assessment E-Journal, 6 (2012-10), 1–25. Retrieved from http://dx.doi.org/10.5018/economics-ejournal.ja.2012-10.10.5018/economics-ejournal.ja.2012-10Search in Google Scholar

Adler, M. (2012). Well-being and fair distribution: Beyond cost-benefit analysis. New York, NY: Oxford University Press.Search in Google Scholar

Anthoff, D., & Tol, R. S. J. (2010). On international equity weights and national decision making on climate change. Journal of Environmental Economics and Management, 60(1), 14–20.10.1016/j.jeem.2010.04.002Search in Google Scholar

Anthoff, D., & Tol, R. S. J. (2013). The uncertainty about the social cost of carbon: A decomposition analysis using FUND. Climatic Change, 117(3), 515–530.10.1007/s10584-013-0706-7Search in Google Scholar

Arrow, K. J., Cline, W. R., Maler, K.-G., Munasinghe, M., Squitieri, R., & Stiglitz, J. E. (1995). Intertemporal equity, discounting, and economic efficiency. In J. Bruce, H. Lee & E. Haites (Eds.), Climate Change 1995: Economic and social dimensions of climate change, contribution of Working Group III to the Second Assessment Report of the Intergovernmental Panel on Climate Change (pp. 125–144). Cambridge, UK: Cambridge University Press. Retrieved from http://www.econ.yale.edu/~nordhaus/Resources/22073-Chap4-Intertemporal%20Equity.pdf.Search in Google Scholar

Arrow, K., Cropper, M., Gollier, C, Groom, B., Heal, G., Newell, R., … Weitzman, M. (2013). Determining benefits and costs for future generations. Science, 341, 349–350.10.1126/science.1235665Search in Google Scholar

Browne, E. A. (1996). Modeling expert dependency in decision analysis. Ph.D. Dissertation, Department of Engineering Economic Systems, Stanford University.Search in Google Scholar

Cass, D. (1965). Optimum growth in an aggregative model of capital accumulation. Review of Economic Studies, 32(3), 233–240.10.2307/2295827Search in Google Scholar

Clemen, R. (1984). Modeling dependent information: A Bayesian approach. Ph.D. Dissertation, Indiana University.Search in Google Scholar

Clemen, R. (1985). Extraneous expert information. Journal of Forecasting, 4(4), 329–348.10.1002/for.3980040403Search in Google Scholar

Clemen, R. (1986). Calibration and the aggregation of probabilities. Management Science, 32(3), 312–314.10.1287/mnsc.32.3.312Search in Google Scholar

Clemen, R. (1989). Combining forecasts: A review and annotated bibliography. International Journal of Forecasting, 5(4), 559–583.10.1016/0169-2070(89)90012-5Search in Google Scholar

Clemen, R., & Winkler, R. (1985). Limits for the precision and value of information from dependent sources. Operations Research, 33(2), 427–442. doi:10.1287/opre.33.2.427.10.1287/opre.33.2.427Search in Google Scholar

Clemen, R., & Winkler, R. (1986). Combining economic forecasts. Journal of Business & Economic Statistics, 4(1), 39. doi:10.2307/1391385.10.2307/1391385Search in Google Scholar

Clemen, R., & Winkler, R. (1987). Calibrating and combining precipitation probability forecasts. Probability and Bayesian Statistics, 97–110. New York: Plenum.10.1007/978-1-4613-1885-9_10Search in Google Scholar

Clemen, R., & Winkler, R. L. (1992). Sensitivity of weights in combining forecasts. Operations Research, 40(3), 609–614.10.1287/opre.40.3.609Search in Google Scholar

Clemen, R., & Winkler, R. (1993). Aggregating point estimates: A flexible modeling approach. Management Science, 39(4), Sol–SIS.10.1287/mnsc.39.4.501Search in Google Scholar

Cline, W. (1992). The economics of global warming. Washington, D.C.: Institute of International Economics.Search in Google Scholar

Domike, J., & Zacoroli, A. (Eds.). (2013). The Clean Air Act handbook(3rd ed.). Chicago: American Bar Association.Search in Google Scholar

Gayer, T., & Viscusi, W. (2014). Determining the proper scope of climate change benefits. Working Paper, Brookings Institution.10.2139/ssrn.2446522Search in Google Scholar

Greenstone, M., Kopits, E., & Wolverton, A. (2011). Estimating the social cost of carbon for use in U.S. federal rulemakings: A summary and interpretation. NBER Working Paper 16913.Search in Google Scholar

Greenstone, M., Kopits, E., & Wolverton, A. (2013). Developing a social cost of carbon for US regulatory analysis: A methodology and interpretation. Review of Environmental Economics and Policy, 7(1), 23–46.10.1093/reep/res015Search 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 Journal, 6(1), 19–56.Search in Google Scholar

Hope, C. (2011). The social cost of CO2 from the PAGE09 model. Cambridge, UK: Judge Business School Working Paper.Search in Google Scholar

Howard, R. A. (1984). Risk preference (paper 34). In: R. A. Howard & J. E. Matheson (Eds.), The principles and applications of decision analysis (Vol. II). Menlo Park, CA: Strategic Decisions Group.Search in Google Scholar

Integrated Assessment Modeling Consortium (IAMC). 2014. Last accessed November 6, 2014 @ http://www.globalchange.umd.edu/iamc/.Search in Google Scholar

Interagency Working Group (IWG). (2010). Technical support document: Social cost of carbon for regulatory impact analysis under Executive Order 12866 (p. 51). Washington, DC: Interagency Working Group on Social Cost of Carbon, United States Government. Retrieved from http://www.epa.gov/oms/climate/regulations/scc-tsd.pdf.Search in Google Scholar

Interagency Working Group (IWG). (2013). Technical support document: Technical update of the social cost of carbon for regulatory impact analysis under Executive Order 12866 (p. 21). Washington, DC: Interagency Working Group on Social Cost of Carbon, United States Government. Retrieved from http://www.whitehouse.gov/sites/default/files/omb/inforeg/social_cost_of_carbon_for_ria_2013_update.pdf.Search in Google Scholar

IPCC. (2012). Managing the risks of extreme events and disasters to advance climate change adaptation. In C. B. Field, V. Barros, T. F. Stocker, D. Qin, D. J. Dokken, K. L. Ebi, … P. M. Midgley (Eds.), A special report of the Intergovernmental Panel on Climate Change. Cambridge, UK; New York, NY: Cambridge University Press.Search in Google Scholar

IPCC. (2013). Climate change 2013: The physical science basis. In T. F. Stocker, D. Qin, G.-K. Plattner, M. Tignor, S. K. Allen, J. Boschung, … P. M. Midgley (Eds.), Contribution of Working Group I to the Intergovernmental Panel on Climate Change Fifth Assessment Report. Cambridge, UK and New York, NY: Cambridge University Press. Retrieved from http://www.ipcc.ch/report/ar5/wg1/#.Ukn99hCBm71.Search in Google Scholar

IPCC. (2014a). Climate change 2014: Impacts, adaptation, and vulnerability. In C. B. Field, V. R. Barros, D. J. Dokken, K. J. Mach, M. D. Mastrandrea, T. E. Bilir, … L. L. White (Eds.), Contribution of Working Group II to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge, UK and New York, NY: Cambridge University Press.Search in Google Scholar

IPCC. (2014b). Climate change 2014: Mitigation of climate change. In O. Edenhofer, R. Pichs-Madruga, Y. Sokona, E. Farahani, S. Kadner, K. Seyboth, … J. C. Minx (Eds.), Contribution of Working Group III to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge, UK and New York, NY: Cambridge University Press.Search in Google Scholar

Johnson, L., & Hope, C. (2012). The social cost of carbon in U.S. regulatory impact analyses: An introduction and critique. Journal of Environmental Studies and Sciences, 2(3), 205–221.Search in Google Scholar

Jouini, M. (1992). Combining experts’ opinions: A nonparametric approach using copulas. Ph.D. Dissertation, Dept. of Decision Sciences, University of Oregon.Search in Google Scholar

Jouini, M., & Clemen, R. (1994). Copula models for aggregating expert opinions. Working Paper, College of Business Administration, University of Oregon.Search in Google Scholar

Koopmans, T. C. (1965). On the concept of optimal economic growth. Academiae Scientiarum Scripta Varia, 28(1), 1–75.Search in Google Scholar

Lempert, R. J. (2014). Embedding (some) benefit-cost concepts into decision support processes with deep uncertainty. The Journal of Benefit-Cost Analysis, 5(3), 487–514.10.1515/jbca-2014-9006Search in Google Scholar

Lenton, T., Held, H., Kriegler, E., Hall, J.,.Lucht, W., Rahmstorf, S., & Schellenhuber, J. (2008). Tipping elements in the Earth’s climate system. Nature, 105(6), 1786–1793.Search in Google Scholar

Li, J., Mullan, M., & Helgeson J.r. (2014). Improving the practice of economic analysis of climate change adaptation. The Journal of Benefit-Cost Analysis, 5(3), 445–467.10.1515/jbca-2014-9004Search in Google Scholar

Lind, R. (1995). Intergenerational equity, discounting, and the role of cost benefit analysis in evaluating global climate policy. Energy Policy 23, 379–389.10.1016/0301-4215(95)90162-ZSearch in Google Scholar

Lind, R., Ruskin, F. (Ends). (1982). Discounting for time and risk in energy policy. Washington, DC.: Resources for the Future.Search in Google Scholar

Marten, A., & Newbold, S. (2012). Estimating the social cost of non-CO2 GHG emissions: Methane and nitrous oxide. Energy Policy, 5, 957–972.10.1016/j.enpol.2012.09.073Search in Google Scholar

Masters, G., & Ela, W. (2007). Introduction to environmental engineering and science (3rd Edition). New York, NY: Prentice Hall.Search in Google Scholar

Meinshausen, M., Raper, S. C. B., & Wigley, T. M. L. (2011). Emulating coupled atmosphere-ocean and carbon cycle models with a simpler model, MAGICC6 – Part 1: Model description and calibration. Atmospheric Chemistry and Physics, 11(4), 1417–1456. doi:10.5194/acp-11-1417-2011.10.5194/acp-11-1417-2011Search in Google Scholar

Morgan, G., & Keith, D. (1995). Subjective judgments by climate experts. Environmental Science & Technology, 29, A468–A476.10.1021/es00010a753Search in Google Scholar

Morin, J., & Orsini, A. (Eds.) (2015). The essential guide to global environmental governance. New York, NY: Routledge.Search in Google Scholar

Morris, P. A. (1971). Bayesian expert resolution. Ph.D. Dissertation, Dept. of Engineering-Economic Systems, Stanford University.Search in Google Scholar

Morris, P. A. (1974). Decision analysis expert use. Management Science, 20(9), 1233–1241.10.1287/mnsc.20.9.1233Search in Google Scholar

Morris, P. A. (1977). Combining expert judgments: A bayesian approach. Management Science, 23(7), 679–693.10.1287/mnsc.23.7.679Search in Google Scholar

Morris, P. (1983). An axiomatic approach to expert resolution. Management Science, 29(1), 24–32.10.1287/mnsc.29.1.24Search in Google Scholar

Morris, P. (1986). Observations of expert aggregation. Management Science, 32(3), 321–328.10.1287/mnsc.32.3.321Search in Google Scholar

National Research Council, Committee on Abrupt Climate Change. (2002). Abrupt climate change: Inevitable surprises. Washington, DC: National Academy Press.Search in Google Scholar

Neumann, J. E., & Strzepek, K. (2014). State of the literature on the economic impacts of climate change in the United States. The Journal of Benefit-Cost Analysis, 5(3), 411–443.10.1515/jbca-2014-9003Search in Google Scholar

Nordhaus, W. D. (1992). An optimal transition path for controlling greenhouse gases. Science, 258(5086), 1315–1319.Search in Google Scholar

Nordhaus, W. D. (1994a). Managing the global commons: the economics of climate change. Cambridge, MA: MIT Press.Search in Google Scholar

Nordhaus, W. D. (1994b). Expert opinion on climatic change. American Scientist, 82, 45–51.Search in Google Scholar

Nordhaus, W. D. (2007). A review of the stern review on the economics of climate change. Journal of Economic Literature 45(3), 686–702.10.1257/jel.45.3.686Search in Google Scholar

Nordhaus, W. D. (2008). A question of balance: Weighing the options on global warming policies. New Haven, CT: Yale University Press.Search in Google Scholar

Nordhaus, W. D. (2010). Economic aspects of global warming in a post-Copenhagen environment. Proceedings of the U.S. National Academy of Sciences, 107(26), 11721–11726.10.1073/pnas.1005985107Search in Google Scholar

Nordhaus, W. D. (2013). Integrated economic and climate modeling. In P. B. Dixon & D. W. Jorgenson (Eds.), Handbook of Computable General Equilibrium Modeling. Amsterdam, The Netherlands: North Holland.Search in Google Scholar

Nordhaus, W. D. (2014). Estimates of the social cost of carbon: concepts and results from the DICE-2013R model and alternative approaches. Journal of the Association of Environmental and Resource Economists, 1(1/2), 273–312.10.1086/676035Search in Google Scholar

Nordhaus, W., & Yang, Z. (1996). A regional dynamic general-equilibrium model of alternative climate-change strategies. American Economic Review, 86(4), 741–765.Search in Google Scholar

Nordhaus, W., & Boyer, J. (2000). Warming the world: Economic modeling of global warming. Cambridge, MA: MIT Press.Search in Google Scholar

Nordhaus, W., & Sztorc, P. (2013). DICE 2013R: Introduction and user’s manual. Retrieved from http://www.econ.yale.edu/~nordhaus/homepage/ documents/DICE_Manual_100413r1.pdf.Search in Google Scholar

OMB. (2003). Office of Management and Budget. Circular A-4. Retrieved from http://www.whitehouse.gov/omb/circulars_a004_a-4.Search in Google Scholar

Pindyck, R. (2013). Climate change policy: What do the models tell us? Journal of Economic Literature, 51(3), 860–872.10.1257/jel.51.3.860Search in Google Scholar

Portney, P., & Weyant, J. (Eds.). (1999). Discounting and intergenerational equity. Washington, DC: Resources for the Future Press.Search in Google Scholar

Pratt, J., Raiffa, H., & Schlaifer, R. (1995). Introduction to statistical decision theory. Cambridge, MA: Washington, DC.Search in Google Scholar

Raiffa, H. (1968). DECISION ANALYSIS: Introductory Lectures on Choices under Uncertainty. New York, NY: Addison-Wesley.10.2307/2987280Search in Google Scholar

Ramsey, F. (1928). A mathematical theory of saving. Economic Journal, 38, 543–559.10.2307/2224098Search in Google Scholar

Reagan, R. (1981). Federal regulation. Presidential Executive Order 12291. Signed: February 17, Federal Register page and date: 46 FR 13193; February 19.Search in Google Scholar

Rose, S., Turner, D., Blanford, G., Bistline, J., de la Chesnaye, F., & Wilson, T. (2014). Understanding the social cost of carbon: A technical assessment. Palo Alto, CA: Electric Power Research Institute, Report #3002004657.Search in Google Scholar

Schaeffer, M., Gohar, L., Kriegler, E., Lowe, J., Riahi, K., & van Vuuren, D. (2013). Mid- and long-term climate projections for fragmented and delayed-action scenarios. Technological Forecasting and Social Change. doi:10.1016/j.techfore.2013.09.013.10.1016/j.techfore.2013.09.013Search in Google Scholar

Stern, N. (2007). The economics of climate change: The Stern review. Cambridge, UK: Cambridge University Press.10.1017/CBO9780511817434Search in Google Scholar

Stern, N. (2008). The economics of climate change. American Economic Review, 98(2), 1–37.10.1257/aer.98.2.1Search in Google Scholar

Stern, N. (2013). The structure of economic modeling of the potential impacts of climate change: Grafting gross underestimation of risk onto already narrow science models. Journal of Economic Literature, 51(3), 838–859.10.1257/jel.51.3.838Search in Google Scholar

Tol, R. (2008). The social cost of carbon: Trends, outliers and catastrophes, economics. The Open-Access, Open-Assessment E-Journal, 2(25), 1–22.10.5018/economics-ejournal.ja.2008-25Search in Google Scholar

Tol, R. (2009). The economic impact of climate change. Journal of Economic Perspectives, 23(2), 29–51.10.1257/jep.23.2.29Search in Google Scholar

Toman, M. (2014). The need for multiple types of information to inform climate change assessment. The Journal of Benefit-Cost Analysis, 5(3), 469–485.10.1515/jbca-2014-9005Search in Google Scholar

van Vuuren, D., Lowe, J., Stehfest, E., Gohar, L. Hof, A., Hope, C., … Plattner, G. K. (2011). How well do integrated assessment models simulate climate change? Climatic Change, 104(2011), 255–285.Search in Google Scholar

Washington, W. & Parkinson, C. (2005). An introduction to three-dimensional climate modeling (2nd ed.). Sausalito, CA: University Scientific Books.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), 1–19.10.1162/rest.91.1.1Search in Google Scholar

Weitzman, M. (2013). Tail-hedge discounting and the social cost of carbon. Journal of Economic Literature, 51(3), 873–882.10.1257/jel.51.3.873Search in Google Scholar

Weyant, J. (2001). Economic models: How they work and why their results differ. In E. Claussen (Ed.), Climate Change: Science, Strategies and Solutions. The Pew Center on Global Climate Change. Boston, MA: Brill Academic Publishers Inc.Search in Google Scholar

Wolverton, A., Kopits, E., Moore, C., Marten, A., Newbold. S., & Griffiths, C. (2012). The social cost of carbon: Valuing carbon reductions in policy analysis. In I. Parry, M. Keen, R. de Mooij (Eds.), Fiscal policy to mitigate climate change: A guide for policymakers. Washington, DC: International Monetary Fund.Search in Google Scholar

Zhimin, L., & Nordhaus, W. (2013). The social cost of carbon: Methods and a survey of estimates. Berkeley, CA: University of California.Search in Google Scholar

Published Online: 2015-1-13
Published in Print: 2014-12-1

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