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Getting models and modellers to inform deep decarbonisation strategies

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  • Franck Lecocq

    (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 - Université Paris-Saclay - CNRS - Centre National de la Recherche Scientifique)

  • Alain Nadaï

    (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 - Université Paris-Saclay - CNRS - Centre National de la Recherche Scientifique, CNRS - Centre National de la Recherche Scientifique)

  • C. Cassen

    (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 - Université Paris-Saclay - CNRS - Centre National de la Recherche Scientifique)

Abstract

An increasing number of countries issue Deep Decarbonization Strategies (DDS). While DDS contents are well analysed, the processes by which they are developed attract less attention. This paper investigates what numerical model(s) are used in these processes, how they are used, and how models, modellers and stakeholders jointly contribute to the production of DDS. It draws lessons from an in-depth analysis of the second French national low-carbon strategy, complemented with insights from the US, Swedish and Brazilian DDS production processes. While configurations differ, DDS processes typically rely on multiple, sometimes overlapping models and involve a broad range of stakeholders. Articulating models together, and through stakeholder consultations, produces both numbers and collectives that share visions of the future – and both are equally important. Setting up and coordinating such assemblages of models and stakeholders requires effort, time, anticipation and resources. The cases presented here highlight the importance of technical, institutional and relational legacies (e.g. prior experience of joint work, hybrid communities), and of political support. We conclude on the importance for policymakers to account for these dimensions when setting up DDS processes and layout avenues for further research.

Suggested Citation

  • Franck Lecocq & Alain Nadaï & C. Cassen, 2021. "Getting models and modellers to inform deep decarbonisation strategies," Post-Print halshs-03504158, HAL.
  • Handle: RePEc:hal:journl:halshs-03504158
    DOI: 10.1080/14693062.2021.2002250
    Note: View the original document on HAL open archive server: https://shs.hal.science/halshs-03504158v1
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    References listed on IDEAS

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    1. Mathy, Sandrine & Fink, Meike & Bibas, Ruben, 2015. "Rethinking the role of scenarios: Participatory scripting of low-carbon scenarios for France," Energy Policy, Elsevier, vol. 77(C), pages 176-190.
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    1. Anja Bauer & Leo Capari & Daniela Fuchs & Titus Udrea, 2023. "Diversification, integration, and opening: developments in modelling for policy," Science and Public Policy, Oxford University Press, vol. 50(6), pages 977-987.

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    More about this item

    Keywords

    Mid-century strategy; NDC; modelling assemblage; public policy; mitigation pathways;
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