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Climate modelling and policy strategies. The role of technical change and uncertainty

Author

Listed:
  • C Carraro

    (Univ Venice, I-30122 Venice, Italy - affiliation inconnue)

  • Jc Hourcade

    (CIRED - centre international de recherche sur l'environnement et le développement - Cirad - Centre de Coopération Internationale en Recherche Agronomique pour le Développement - EHESS - École des hautes études en sciences sociales - AgroParisTech - ENPC - École des Ponts ParisTech - CNRS - Centre National de la Recherche Scientifique)

Abstract

This paper provides a brief outline of the most recent advances of economic-environmental quantitative modelling. After having described some of the most relevant methodological approaches, the paper focuses on the drawbacks of present models and outlines directions for modelling improvements. Two methodological issues are emphasised: the treatment of uncertainty and the endogenisation of technical progress. The paper describes how recent works, particularly those included in this special issue, tackle these two important problems and which solutions, albeit preliminary, have recently been proposed. It is also stressed how results achieved with models where uncertainty and technical change are adequately dealt with largely differ from those obtained from traditional models. (C) 1998 Elsevier Science B.V. All rights reserved.

Suggested Citation

  • C Carraro & Jc Hourcade, 1998. "Climate modelling and policy strategies. The role of technical change and uncertainty," Post-Print hal-00716515, HAL.
    • Handle: RePEc:hal:journl:hal-00716515
    as

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    Citations

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    Cited by:

    1. Henrik Klinge Jacobsen, 2000. "Technology Diffusion in Energy-Economy Models: The Case of Danish Vintage Models," The Energy Journal, International Association for Energy Economics, vol. 0(Number 1), pages 43-71.
    2. Parry, Ian W H & Pizer, William A & Fischer, Carolyn, 2003. "How Large Are the Welfare Gains from Technological Innovation Induced by Environmental Policies?," Journal of Regulatory Economics, Springer, vol. 23(3), pages 237-255, May.
    3. Michael Hoel & Rolf Golombek, 2004. "Climate Agreements and Technology Policy," Working Papers 2004.90, Fondazione Eni Enrico Mattei.
    4. Rosendahl, Knut Einar, 2004. "Cost-effective environmental policy: implications of induced technological change," Journal of Environmental Economics and Management, Elsevier, vol. 48(3), pages 1099-1121, November.
    5. Horne, Matt & Jaccard, Mark & Tiedemann, Ken, 2005. "Improving behavioral realism in hybrid energy-economy models using discrete choice studies of personal transportation decisions," Energy Economics, Elsevier, vol. 27(1), pages 59-77, January.
    6. Rolf Golombek & Michael Hoel, 2005. "Climate Policy under Technology Spillovers," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 31(2), pages 201-227, June.
    7. Terry Barker & Jonathan Köhler & Marcelo Villena, 2002. "Costs of greenhouse gas abatement: meta-analysis of post-SRES mitigation scenarios," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 5(2), pages 135-166, June.
    8. Loschel, Andreas, 2002. "Technological change in economic models of environmental policy: a survey," Ecological Economics, Elsevier, vol. 43(2-3), pages 105-126, December.
    9. Peterson, Sonja, 2006. "Uncertainty and economic analysis of climate change: a survey of approaches and findings," Open Access Publications from Kiel Institute for the World Economy 3778, Kiel Institute for the World Economy (IfW Kiel).
    10. Peterson, Sonja, 2004. "The contribution of economics to the analysis of climate change and uncertainty: a survey of approaches and findings," Kiel Working Papers 1212, Kiel Institute for the World Economy (IfW Kiel).
    11. Kemfert, Claudia, 2004. "Climate coalitions and international trade: assessment of cooperation incentives by issue linkage," Energy Policy, Elsevier, vol. 32(4), pages 455-465, March.

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