Abstract
Variability is one of the most salient features of the earth's climate, yet quantitative policy studies have generally ignored the impact of variability on society's best choice of climate-change policy. This omission is troubling because an adaptive emissions-reduction strategy, one that adjusts abatement rates over time based on observations of damages and abatement costs, should perform much better against extreme uncertainty than static, best-estimate policies. However, climate variability can strongly affect the success of adaptive-abatement strategies by masking adverse trends or fooling society into taking too strong an action. This study compares the performance of a wide variety of adaptive greenhouse-gas-abatement strategies against a broad range of plausible future climate-change scenarios. We find that: i) adaptive strategies remain preferable to static, best-estimate policies even with very large levels of climate variability; ii) the most robust strategies are innovation sensitive, that is, adjust future emissions reduction rates on the basis of small changes in observed abatement costs but only for large changes in observed damages; and iii) information about the size of the variability is about a third to an eighth as valuable as information determining the value of the key parameters that represent the long-term, future climate-change state-of-the-world.
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References
Bankes, S. C.: 1993, ‘Exploratory Modeling for Policy Analysis’, Operations Research, 41, pp. 435–449, (also published as RAND RP-211).
Brooks, A., Bankes, S., Bennett, B.: 1997, ‘Weapon Mix and Exploratory Analysis,’ RAND, DB-216/2-AF.
Davis, P. K. and J. Carrillo, M. J.: 1997a, ‘Exploratory analysis of the halt problem: a briefing on methods and initial insights,’ RAND, DB-232.
Davis, P. K., R Kugler, R., and J. Hillestad, R. J.: 1997b, ‘Strategic Issues and Options for the Quadrennial Defense Review’, RAND, DB-201-OSD.
Hammitt, J. K., Lempert, R. J., and Schlesinger, M. E.: 1992, ‘A sequential-decision strategy for abating climate change,’ Nature, 357, 315–318.
Hasselmann, K.: 1976, ‘Stochastic climate models, Part I: Theory’, Tellus 28, 473–485.
Houghton, J. T., Jenkins, G. J. and Ephraums, J. J. (eds.): 1990, Climate Change The IPCC Scientific Assessment. Cambridge University Press, Cambridge, 364 pp.
Katz, R., and Brown, B. G.: 1992, ‘Extreme Events in a Changing Climate: Variability is More Important than Averages,’ Climatic Change 21: 289–302.
Kelly, D. L. and Kolstad, C. D.: 1996, ‘Tracking the Climate Change Footprint: Stochastic Learning About Climate Change,’ University of California Santa Barbara Economics Working Paper 3-96R.
Leggett, J.A., Pepper, W.J., and Swart, R.J. in Climate Change, 1992. The Supplementary Report to the IPCC Scientific Assessment, eds. Houghton, J.T., Callander, B.A. and Varmey, S.K.) 69–95, Cambridge University Press, Cambridge, UK.
Lempert, R. J. and Bonomo, J.: 1998, ‘New Methods for Robust Science and Technology Planning,’ RAND, DB-238-DARPA.
Lempert, R. J., Schlesinger, Bankes, S. C., and Andronova, N.G., 1998: (RAND working paper, in preparation).
Lempert, R. J., Schlesinger, Bankes, S. C.: 1996, ‘When We Don't Know the Costs or the Benefits: Adaptive Strategies for Abating Climate Change’, Climatic Change, 33, 235–274.
Lempert, R. J., Schlesinger, M. E., Hammitt, J. K.: 1994, ‘The Impact of Potential Abrupt Climate Changes on Near-Term Policy Choices’, Climatic Change, 26, 351–376.
Lewis, F. L.: 1986, Optimal Estimation, John Wiley & Sons, New York.
Manne, A. S. and Richels, R. G.: 1992, Buying Greenhouse Insurance: The Economic Costs of Carbon Dioxide Emissions Limits, MIT Press, Cambridge, MA.
Manne, A. S. and Richels, R. G.: 1991, ‘Global CO2 emission reductions: The impact of rising energy costs,’ The Energy Journal, 12, 88–107.
Mendelsohn, R., Nordhaus, W. and Shaw, D.: 1994, ‘The Impact of Global Warming on Agriculture: A Ricardian Analysis’ American Economic Review 84, 753–771.
Munich Rc (Muncherner Ruckversicherungs-Gesellschaft, D-80791 Munchen, Germany (http://www.munichre.com), 1997).
Nordhaus, W. D.: 1991, ‘The Cost of Slowing Climate Change: A Survey,’ The Energy Journal, 12, 37–65.
Nordhaus, W. D.: 1994, Managing the Global Commons: The Economics of Global Change, MIT Press, Cambridge, MA.
Park, G. and Lempert, R. J., 1998: ‘The Class of 2014: Preserving Access to California Higher Education,’ RAND, MR-971.
Peck, S. C. and Teisberg, T. J., 1993: ‘Global warming uncertainties and the value of information: An analysis using CETA’, Resource and Energy Economics, 15, 71–97.
Schlesinger, M.E., and Andronova, N.G., 1999: ‘Maximum-likelihood estimation of climate sensitivity and anthropogenic sulfate forcing’ (in preparation).
Schlesinger, M. E., and Jiang, X.: 1991, ‘Revised projection of future greenhouse warming’, Nature, 350, 219–221.
Schwartz, P.: 1996, The Art of the Long View, Currency Doubleday, New York.
Wigley, T. M. L., Richels, R. & Edmonds, J. A.: 1996, ‘Economic and Environmental Choices in the Stabilization of Atmospheric Carbon Dioxide Concentrations’, Nature, 379, 240–243.
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Lempert, R.J., Schlesinger, M.E., Bankes, S.C. et al. The Impacts of Climate Variability on Near-Term Policy Choices and the Value of Information. Climatic Change 45, 129–161 (2000). https://doi.org/10.1023/A:1005697118423
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DOI: https://doi.org/10.1023/A:1005697118423