Encyclopedia of Operations Research and Management Science

2001 Edition
| Editors: Saul I. Gass, Carl M. Harris

Global climate change models

  • Hans W. Gottinger
Reference work entry
DOI: https://doi.org/10.1007/1-4020-0611-X_388
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Over the past twenty years, operations research has impacted the conceptual foundations, the scale and scope of models providing normative and predictive explanations on a potentially serious environmental threat known as the “greenhouse effect.” To assess long-term socio-economic changes due to the prevalence of the greenhouse effect, integrated models of energy, economy and the environment (EEE) of various levels of complexity have been constructed and put to use (Dowlabati, 1995).

STRUCTURE OF ENERGY-ECONOMY-ENVIRONMENTAL (EEE) MODELS

We start with some early modeling approaches in the context of carbon dioxide (CO2) policies, involving an activity analysis model adapted to the CO2 problem (Nordhaus, 1979, 1980). This is an instructive example of the application of simple optimization models to a quantitative, qualitative and integrated analysis of CO2 strategies. The analysis contains the major ingredients of EEE models of this kind: (i) the dynamics of the CO2cycle, the sources...

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References

  1. [1]
    Arrow, K.J., Parikh, S., and Pillet, G. (1994). “Decision Making Framework to Address Climate Change,” in Pillet, G. and Gassman, F., eds., Report of the IPCC Working Group III, Montreux Meeting PSI-Bericht 94-10, Paul Scherrer Institute, Wurenlingen, Switzerland.Google Scholar
  2. [2]
    Bertsekas, D.P. (1976). Dynamic Programming and Stochastic Control, Academic Press, New York.Google Scholar
  3. [3]
    Chiarella, C. (1980). “Optimal Depletion of a Nonrenewable Resource when Technological Progress is Endogenous,” in Kemp, M.C. and Long, N.V., eds., Exhaustible Resources, Optimality and Trade, North Holland, Amsterdam.Google Scholar
  4. [4]
    Conrad, J.M. (1992). “Stopping rules and the control of stock pollutants,” Seminar of Uncertainty in Management of Natural Resources and the Environment, Central Statistical Bureau, Oslo.Google Scholar
  5. [5]
    Dowlabati, H. (1995). “Integrated Assessment Models of Climate Change,” Energy Policy 23, 289–296.Google Scholar
  6. [6]
    Gilbert, R.J. (1979). “Optimal Depletion of an Uncertain Stock,” Review Economic Studies 46, 47–57.Google Scholar
  7. [7]
    Gottinger, H.W. (1996). “Choosing Regulatory Options when Environmental Costs are Uncertain,” European Jl. Operational Research 88, 28–41.Google Scholar
  8. [8]
    Gottinger, H.W. (1995). “Regulatory Policies under Uncertainty, Value of Information and Greenhouse Gas Emissions,” Energy Policy 23, 51–56.Google Scholar
  9. [9]
    Gottinger, H.W. (1998a). Global Environmental Economics, Kluwer, Boston.Google Scholar
  10. [10]
    Gottinger, H.W. (1998b). “Greenhouse Gas Economics and Computable General Equilibrium,” Jl. Policy Modeling 20, xx-xx.Google Scholar
  11. [11]
    Kolstad, Ch.D. (1993). “Looking vs. leaping: The timing of CO2 control in the face of uncertainty and learning,” in Costs, Impacts and Possible Benefits of CO2 Mitigation, IIASA, Laxenburg, Austria.Google Scholar
  12. [12]
    Loury, R.C. (1978). “The Optimum Exploration of an Unknown Reserve,” Review Economic Studies 45, 621–636.Google Scholar
  13. [13]
    Manne, A.S. and Richels, R.G. (1992). Buying Green-house Insurance–The Economic Costs of CO2 Emission Limits, MIT Press, Cambridge, Massachusetts.Google Scholar
  14. [14]
    Manne, A.S. and Richels, R.G. (1990). “CO2 Emission Limits: An Economic Cost Analysis for the USA,” Energy Jl., 11, xx-xx.Google Scholar
  15. [15]
    Nordhaus, W.D. (1991). “The Cost of Slowing Climate Change: A Survey,” Energy Jl. 12, 37–65.Google Scholar
  16. [16]
    Nordhaus, W.D. (1979). The Efficient Use of Energy Resources, Cowles Foundation, Yale University Press, New Haven, Connecticut.Google Scholar
  17. [17]
    Nordhaus, W.D. (1980). “Thinking about Carbon Dioxide: Theoretical and Empirical Aspects of Optimal Control Strategies,” Cowles Foundation Discussion Paper, No. 565, Yale University, New Haven, Connecticut.Google Scholar
  18. [18]
    Nordhaus, W.D. (1993). “Rolling the ‘DICE’: Optimal Transition Path for Controlling Greenhouse Gases,” Resource and Energy Economics, 15(1), 27–50.Google Scholar
  19. [19]
    Nordhaus, W.D. (1994). Managing the Global Commons: The Economics of Climate Change, MIT Press, Cambridge, Massachusetts.Google Scholar
  20. [20]
    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(1), 71–97.Google Scholar

Copyright information

© Kluwer Academic Publishers 2001

Authors and Affiliations

  • Hans W. Gottinger
    • 1
  1. 1.International Institute for Technology Management and EconomicsBad WaldseeGermany