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A Detailed Overview and Consistent Classification of Climate-Economy Models

In: Understanding Risks and Uncertainties in Energy and Climate Policy

Author

Listed:
  • Alexandros Nikas

    (School of Electrical and Computer Engineering, National Technical University of Athens)

  • Haris Doukas

    (School of Electrical and Computer Engineering, National Technical University of Athens)

  • Andreas Papandreou

    (University of Athens)

Abstract

The proliferation and growing variety of climate-economy models and what are known as integrated assessment models (IAMs) can make it difficult for someone interested in following the debate to place any specific model, or the discussion about the merits of one or another, into a broader context. The literature related to climate-economy modelling is already vast: apart from a very large number of models and an even larger number of applications, there already exist many good surveys comparing—inter alia—modelling frameworks, model assumptions and model results. The objective of this chapter is to provide a simple overview and organising scheme of this modelling world by delving into the characteristics of more than 60 individual IAMs towards describing the main ways in which certain classes or groups of climate-economy models differ from one another. In contrast to other more detailed or narrowly focused “overviews” and literature reviews, this analysis takes less for granted and aims at providing an initial understanding of generic model structures. After briefly discussing some principles of classification that can help organise this often daunting modelling world, the chapter offers descriptions and comparisons of the main classes of models.

Suggested Citation

  • Alexandros Nikas & Haris Doukas & Andreas Papandreou, 2019. "A Detailed Overview and Consistent Classification of Climate-Economy Models," Springer Books, in: Haris Doukas & Alexandros Flamos & Jenny Lieu (ed.), Understanding Risks and Uncertainties in Energy and Climate Policy, pages 1-54, Springer.
    • Handle: RePEc:spr:sprchp:978-3-030-03152-7_1
    DOI: 10.1007/978-3-030-03152-7_1
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    Citations

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    Cited by:

    1. Maes, Ben & Sacchi, Romain & Steubing, Bernhard & Pizzol, Massimo & Audenaert, Amaryllis & Craeye, Bart & Buyle, Matthias, 2023. "Prospective consequential life cycle assessment: Identifying the future marginal suppliers using integrated assessment models," Renewable and Sustainable Energy Reviews, Elsevier, vol. 188(C).
    2. Addanki, Thushara & Cadavid Isaza, Andrea & de la Rúa, Cristina & Odersky, Leonhard & Hamacher, Thomas, 2024. "Impuls-urbs: Integration of life cycle assessment into energy system models," Renewable and Sustainable Energy Reviews, Elsevier, vol. 198(C).
    3. Coppens, Léo & Dietz, Simon & Venmans, Frank, 2024. "Optimal climate policy under exogenous and endogenous technical change: making sense of the different approaches," LSE Research Online Documents on Economics 124548, London School of Economics and Political Science, LSE Library.
    4. Michael Grubb & Rutger-Jan Lange & Nicolas Cerkez & Claudia Wieners & Ida Sognnaes & Pablo Salas, 2020. "Dynamic determinants of optimal global climate policy," Tinbergen Institute Discussion Papers 23-063/VI, Tinbergen Institute, revised 01 Aug 2024.
    5. Rabaa, Simon & Geisendorf, Sylvie & Wilken, Robert, 2022. "Why change does (not) happen: Understanding and overcoming status quo biases in climate change mitigation," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 45(1), pages 100-134.

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