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An experience with Mathematica in the field of economics of the environment: DIAM

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  • Minh Ha-Duong

    (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)

  • Pierre Matarasso

    (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

Climate change is one of the biggest challenges facing humankind for the next century. We expose how we build a Model about the Dynamics of Inertia and Adaptability in energy systems (DIAM) to study the question \"Shall we wait another decade before taking costly measures to curb greenhouse gases emissions\". Using primarily Mathematica, we had to use also the GAMS language, not only to be understood by other researchers in our field, but also to gain access to a powerful non linear constrained optimisation solver. It seems urgent to bridge the gap between these kind of solvers and Mathematica because when one builds models of complex systems, intertemporal optimisation is often preferred to recursive simulation.

Suggested Citation

  • Minh Ha-Duong & Pierre Matarasso, 1997. "An experience with Mathematica in the field of economics of the environment: DIAM," Post-Print halshs-00007465, HAL.
  • Handle: RePEc:hal:journl:halshs-00007465
    Note: View the original document on HAL open archive server: https://shs.hal.science/halshs-00007465
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    Keywords

    climate change; nonlinear optimisation; integrated assessment model; changement climatique; modèle intégré; optimisation non linéaire;
    All these keywords.

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