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Uncertainty and economic analysis of climate change : a survey of approaches and findings

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  • Peterson, Sonja

Abstract

The analysis of climate change is confronted with large uncertainties that need to be taken into account to arrive at meaningful policy recommendations. The main contribution of economics to this interdisciplinary task is to provide formal frameworks and techniques for analyzing climate policy in the context of uncertainty. This paper will give an overview of existing approaches and findings to provide a broad picture of what economics can contribute to the debate. --

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File URL: http://econstor.eu/bitstream/10419/3778/1/Pe_Climate_Change.pdf
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Bibliographic Info

Paper provided by Kiel Institute for the World Economy (IfW) in its series Open Access Publications from Kiel Institute for the World Economy with number 3778.

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Date of creation: 2006
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Handle: RePEc:zbw:ifwkie:3778

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Keywords: Climate change ; uncertainty ; survey ; modeling;

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  1. Alan Manne & Richard Richels, 1995. "The Greenhouse Debate: Econonmic Efficiency, Burden Sharing and Hedging Strategies," The Energy Journal, International Association for Energy Economics, vol. 0(Number 4), pages 1-38.
  2. Ulph, Alistair & Ulph, David, 1997. "Global Warming, Irreversibility and Learning," Economic Journal, Royal Economic Society, vol. 107(442), pages 636-50, May.
  3. Scott, Michael J. & Sands, Ronald D. & Edmonds, Jae & Liebetrau, Albert M. & Engel, David W., 1999. "Uncertainty in integrated assessment models: modeling with MiniCAM 1.0," Energy Policy, Elsevier, vol. 27(14), pages 855-879, December.
  4. Pindyck, Robert S., 2000. "Irreversibilities and the timing of environmental policy," Resource and Energy Economics, Elsevier, vol. 22(3), pages 233-259, July.
  5. Zhao, Jinhua, 2003. "Irreversible abatement investment under cost uncertainties: tradable emission permits and emissions charges," Journal of Public Economics, Elsevier, vol. 87(12), pages 2765-2789, December.
  6. M. L. Weitzman, 1973. "Prices vs. Quantities," Working papers 106, Massachusetts Institute of Technology (MIT), Department of Economics.
  7. Lange, Andreas, 2002. "Climate change and the irreversibility effect: combining expected utility and MaxiMin," ZEW Discussion Papers 02-29, ZEW - Zentrum für Europäische Wirtschaftsforschung / Center for European Economic Research.
  8. Lecocq, Franck & Crassous, Renaud, 2003. "International climate regime beyond 2012 - are quota allocation rules robust to uncertainty?," Policy Research Working Paper Series 3000, The World Bank.
  9. Kanudia, Amit & Loulou, Richard, 1998. "Robust responses to climate change via stochastic MARKAL: The case of Quebec," European Journal of Operational Research, Elsevier, vol. 106(1), pages 15-30, April.
  10. Baranzini, Andrea & Chesney, Marc & Morisset, Jacques, 2003. "The impact of possible climate catastrophes on global warming policy," Energy Policy, Elsevier, vol. 31(8), pages 691-701, June.
  11. Michael Hoel & Larry Karp, 1999. "Taxes and Quotas for a Stock Pollutant with Multiplicative Uncertainty," Working Papers 1999.15, Fondazione Eni Enrico Mattei.
  12. Grubb, Michael, 1997. "Technologies, energy systems and the timing of CO2 emissions abatement : An overview of economic issues," Energy Policy, Elsevier, vol. 25(2), pages 159-172, February.
  13. Plambeck, Erica L & Hope, Chris, 1996. "PAGE95 : An updated valuation of the impacts of global warming," Energy Policy, Elsevier, vol. 24(9), pages 783-793, September.
  14. Gjerde, Jon & Grepperud, Sverre & Kverndokk, Snorre, 1999. "Optimal climate policy under the possibility of a catastrophe," Resource and Energy Economics, Elsevier, vol. 21(3-4), pages 289-317, August.
  15. Gollier, Christian & Jullien, Bruno & Treich, Nicolas, 2000. "Scientific progress and irreversibility: an economic interpretation of the 'Precautionary Principle'," Journal of Public Economics, Elsevier, vol. 75(2), pages 229-253, February.
  16. Baker, Erin, 2005. "Uncertainty and learning in a strategic environment: global climate change," Resource and Energy Economics, Elsevier, vol. 27(1), pages 19-40, January.
  17. Zapert, R. & Gaertner, P. S. & Filar, J. A., 1998. "Uncertainty propagation within an integrated model of climate change1," Energy Economics, Elsevier, vol. 20(5-6), pages 571-598, December.
  18. Anthony Fisher & Urvashi Narain, 2003. "Global Warming, Endogenous Risk, and Irreversibility," Environmental & Resource Economics, European Association of Environmental and Resource Economists, vol. 25(4), pages 395-416, August.
  19. Arrow, Kenneth J & Fisher, Anthony C, 1974. "Environmental Preservation, Uncertainty, and Irreversibility," The Quarterly Journal of Economics, MIT Press, vol. 88(2), pages 312-19, May.
  20. Geoffrey Heal & Bengt Kriström, 2002. "Uncertainty and Climate Change," Environmental & Resource Economics, European Association of Environmental and Resource Economists, vol. 22(1), pages 3-39, June.
  21. Mort Webster, 2002. "The Curious Role of "Learning" in Climate Policy: Should We Wait for More Data?," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2), pages 97-119.
  22. Peck, Stephen C. & Teisberg, Thomas J., 1993. "Global warming uncertainties and the value of information: an analysis using CETA," Resource and Energy Economics, Elsevier, vol. 15(1), pages 71-97, March.
  23. Minh Ha-Duong, 1998. "Quasi-option value and climate policy choices," Post-Print halshs-00002457, HAL.
  24. Pizer, William A., 1999. "The optimal choice of climate change policy in the presence of uncertainty," Resource and Energy Economics, Elsevier, vol. 21(3-4), pages 255-287, August.
  25. William D. Nordhaus & David Popp, 1996. "What is the Value of Scientific Knowledge? An Application to Global Warming Using the PRICE Model," Cowles Foundation Discussion Papers 1117, Cowles Foundation for Research in Economics, Yale University.
  26. Hope, Chris & Anderson, John & Wenman, Paul, 1993. "Policy analysis of the greenhouse effect : An application of the PAGE model," Energy Policy, Elsevier, vol. 21(3), pages 327-338, March.
  27. Kolstad, Charles D., 1996. "Learning and Stock Effects in Environmental Regulation: The Case of Greenhouse Gas Emissions," Journal of Environmental Economics and Management, Elsevier, vol. 31(1), pages 1-18, July.
  28. Henry, Claude, 1974. "Investment Decisions Under Uncertainty: The "Irreversibility Effect."," American Economic Review, American Economic Association, vol. 64(6), pages 1006-12, December.
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Citations

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Cited by:
  1. Medel, Carlos A., 2011. "The Effects of Global Warming on Fisheries," MPRA Paper 28373, University Library of Munich, Germany.
  2. Eory, Vera & Topp, Cairistiona F. E. & Moran, Dominic & Butler, Adam, 2014. "Assessing uncertainty in the cost-effectiveness of agricultural greenhouse gas mitigation," 88th Annual Conference, April 9-11, 2014, AgroParisTech, Paris, France 170784, Agricultural Economics Society.
  3. Gren, Ing-Marie & Carlsson, Mattias & Elofsson, Katarina & Munnich, Miriam, 2012. "Stochastic carbon sinks for combating carbon dioxide emissions in the EU," Energy Economics, Elsevier, vol. 34(5), pages 1523-1531.
  4. Alberth, Stephan & Hope, Chris, 2007. "Climate modelling with endogenous technical change: Stochastic learning and optimal greenhouse gas abatement in the PAGE2002 model," Energy Policy, Elsevier, vol. 35(3), pages 1795-1807, March.
  5. DeCarolis, Joseph F., 2011. "Using modeling to generate alternatives (MGA) to expand our thinking on energy futures," Energy Economics, Elsevier, vol. 33(2), pages 145-152, March.
  6. Michela Catenacci & Carlo Giupponi, 2010. "Potentials and Limits of Bayesian Networks to Deal with Uncertainty in the Assessment of Climate Change Adaptation Policies," Working Papers 2010.7, Fondazione Eni Enrico Mattei.

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