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Disentangling the Stern/Nordhaus Controversy : Beyond the Discounting Clash

Author

Listed:
  • Etienne Espagne

    (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 nationale des ponts et chaussées - CNRS - Centre National de la Recherche Scientifique)

  • Baptiste Perrissin Fabert

    (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 nationale des ponts et chaussées - CNRS - Centre National de la Recherche Scientifique)

  • Antonin Pottier

    (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 nationale des ponts et chaussées - CNRS - Centre National de la Recherche Scientifique)

  • Franck Nadaud

    (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 nationale des ponts et chaussées - CNRS - Centre National de la Recherche Scientifique)

  • Patrice Dumas

    (Cirad - Centre de Coopération Internationale en Recherche Agronomique pour le Développement)

Abstract

The Stern/Nordhaus controversy has polarized the widely disparate beliefs about what to do in order to tackle the climate challenge. To explain differences in results and policy recommendations, comments following the publication of the Stern Review have mainly focused on the role played by the discount rate. A closer look at the actual drivers of the controversy reveals however that Stern and Nordhaus also disagree on two other parameters: technical progress on abatement costs and the climate sensitivity. This paper aims at appraising the relative impacts of such key drivers of the controversy on the social cost of carbon and climate policy recommendations. To this end, we use the flexible integrated assessment model RESPONSE which allows us to compare very diverse worldviews, including Stern and Nordhaus' ones within the same modelling framework and map the relative impacts of beliefs on the three key drivers of the controversy. Furthermore we appraise quantitatively, by means of a linear statistical model, the impacts on results of an extended set of core parameters of RESPONSE. We show that beliefs on long term economic growth, technical progress, the form of the climate damage function and the climate sensitivity have an impact as important as beliefs on pure time preference. Hence, we can qualify the role played by the discount rate in the Stern/Nordhaus controversy and more broadly in the definition of climate policies.

Suggested Citation

  • Etienne Espagne & Baptiste Perrissin Fabert & Antonin Pottier & Franck Nadaud & Patrice Dumas, 2012. "Disentangling the Stern/Nordhaus Controversy : Beyond the Discounting Clash," Post-Print hal-00804294, HAL.
  • Handle: RePEc:hal:journl:hal-00804294
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    Blog mentions

    As found by EconAcademics.org, the blog aggregator for Economics research:
    1. What to do about climate change: looking beyond the discount rate controversy
      by Economic Logician in Economic Logic on 2012-11-29 20:53:00

    Citations

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    Cited by:

    1. Havranek, Tomas & Irsova, Zuzana & Janda, Karel & Zilberman, David, 2015. "Selective reporting and the social cost of carbon," Energy Economics, Elsevier, vol. 51(C), pages 394-406.
    2. Vogt-Schilb, Adrien & Meunier, Guy & Hallegatte, Stéphane, 2018. "When starting with the most expensive option makes sense: Optimal timing, cost and sectoral allocation of abatement investment," Journal of Environmental Economics and Management, Elsevier, vol. 88(C), pages 210-233.
    3. Etienne Espagne, 2018. "Money, Finance and Climate: The Elusive Quest for a Truly Integrated Assessment Model," Comparative Economic Studies, Palgrave Macmillan;Association for Comparative Economic Studies, vol. 60(1), pages 131-143, March.
    4. Perrissin Fabert, Baptiste & Espagne, Etienne & Antonin, Pottier & Patrice, Dumas, 2014. "The Comparative Impact of Integrated Assessment Models' Structures on Optimal Mitigation Policies," Climate Change and Sustainable Development 177304, Fondazione Eni Enrico Mattei (FEEM).
    5. Edilio Valentini & Paolo Vitale, 2019. "Optimal Climate Policy for a Pessimistic Social Planner," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 72(2), pages 411-443, February.
    6. Baptiste Perrissin Fabert & Etienne Espagne & Antonin Pottier & Patrice Dumas, 2012. "The "Doomsday" Effect in Climate Policies: Why is the Present Decade so Crucial to Tackling the Climate Challenge?," Post-Print hal-00800879, HAL.
    7. Michel Aglietta & Etienne Espagne, 2016. "Climate and finance systemic risks, more than an analogy? The climate fragility hypothesis," Working Papers 2016-10, CEPII research center.
    8. Meng, Weizhen & Chen, Tuyue & Yang, Jinqiang, 2025. "The economic and policy consequences of carbon emissions," Journal of Mathematical Economics, Elsevier, vol. 117(C).

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    Keywords

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    JEL classification:

    • Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming
    • Q58 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environmental Economics: Government Policy
    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis

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