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Adaptive Model-Predictive Climate Policies in a Multi-Country Setting


  • Thierry Bréchet

    () (CORE - Louvain School of Management)

  • Carmen Camacho

    () (CES - Centre d'économie de la Sorbonne - UP1 - Université Panthéon-Sorbonne - CNRS - Centre National de la Recherche Scientifique)

  • Vladimir M. Veliov

    () (ORCOS - Institute of Mathematical Methods in Economics)


The purpose of this paper is to extend the use of integrated assessment models by defining rational policies based on predictive control and adaptive behavior. The paper begins with an review of the main IAMs and their use. Then the concept of Model Predictive Nash Equilibrium (MPNE) is introduced within a general model involving heterogeneous economic agents operating in (and interfering with) a common environment. This concept captures the fact that agents do not have a perfect foresight for several ingredients of the model, including that of the environment. A version of the canonical IAM (DICE) is developed as a benchmark case. The concept of MPNE is then enhanced with adaptive learning about the environmental dynamics and the damages caused by global warming. The approach is illustrated by some numerical experiments in a two-region setting for several scenarios.

Suggested Citation

  • Thierry Bréchet & Carmen Camacho & Vladimir M. Veliov, 2012. "Adaptive Model-Predictive Climate Policies in a Multi-Country Setting," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-00718659, HAL.
  • Handle: RePEc:hal:cesptp:halshs-00718659
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    References listed on IDEAS

    1. Fleurbaey,Marc & Maniquet,François, 2011. "A Theory of Fairness and Social Welfare," Cambridge Books, Cambridge University Press, number 9780521715348, March.
    2. Zili Yang, 2008. "Strategic Bargaining and Cooperation in Greenhouse Gas Mitigations: An Integrated Assessment Modeling Approach," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262240548, January.
    3. Thierry Bréchet & François Gerard, 2007. "Climate Coalitions: A Theoretical and Computational Appraisal," Working Papers 2007.21, Fondazione Eni Enrico Mattei.
    4. Edenhofer, Ottmar & Bauer, Nico & Kriegler, Elmar, 2005. "The impact of technological change on climate protection and welfare: Insights from the model MIND," Ecological Economics, Elsevier, vol. 54(2-3), pages 277-292, August.
    5. WAN, Shui-Ki & WANG, Shin-Huei & WOO, Chi-Keung, 2012. "Total tourist arrival forecast: aggregation vs. disaggregation," CORE Discussion Papers 2012039, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    6. Duranton, Gilles & Martin, Philippe & Mayer, Thierry & Mayneris, Florian, 2010. "The Economics of Clusters: Lessons from the French Experience," OUP Catalogue, Oxford University Press, number 9780199592203, June.
    7. Thierry Bréchet & Carmen Camacho & Vladimir Veliov, 2014. "Model predictive control, the economy, and the issue of global warming," Annals of Operations Research, Springer, vol. 220(1), pages 25-48, September.
    8. Thierry Bréchet & Yann Ménière & Pierre M. Picard, 2016. "The Clean Development Mechanism in a world carbon market," Canadian Journal of Economics, Canadian Economics Association, vol. 49(4), pages 1569-1598, November.
    9. Samwick, Andrew A., 1998. "Discount rate heterogeneity and social security reform," Journal of Development Economics, Elsevier, vol. 57(1), pages 117-146, October.
    10. Eyckmans, Johan & Tulkens, Henry, 2003. "Simulating coalitionally stable burden sharing agreements for the climate change problem," Resource and Energy Economics, Elsevier, vol. 25(4), pages 299-327, October.
    11. Nordhaus, William D., 1993. "Rolling the 'DICE': an optimal transition path for controlling greenhouse gases," Resource and Energy Economics, Elsevier, vol. 15(1), pages 27-50, March.
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    Cited by:

    1. Willi Semmler & Lars Grüne & Marleen Stieler, 2013. "Using Nonlinear Model Predictive Control for Dynamic Decision Problems in Economics," EcoMod2013 5782, EcoMod.
    2. Grüne, Lars & Semmler, Willi & Stieler, Marleen, 2015. "Using nonlinear model predictive control for dynamic decision problems in economics," Journal of Economic Dynamics and Control, Elsevier, vol. 60(C), pages 112-133.
    3. Greiner, Alfred & Gruene, Lars & Semmler, Willi, 2014. "Economic growth and the transition from non-renewable to renewable energy," Environment and Development Economics, Cambridge University Press, vol. 19(04), pages 417-439, August.

    More about this item


    Integrated assessment; adaptative behavior; learning; climate change; Estimation intégrée; comportement adaptatif; apprentissage; changement climatique;

    JEL classification:

    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • O13 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Agriculture; Natural Resources; Environment; Other Primary Products
    • E61 - Macroeconomics and Monetary Economics - - Macroeconomic Policy, Macroeconomic Aspects of Public Finance, and General Outlook - - - Policy Objectives; Policy Designs and Consistency; Policy Coordination

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