A Detailed Overview and Consistent Classification of Climate-Economy Models
Alexandros Nikas (),
Haris Doukas () and
Andreas Papandreou ()
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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
A chapter in Understanding Risks and Uncertainties in Energy and Climate Policy, 2019, pp 1-54 from Springer
Abstract:
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.
Keywords: Climate policy; Integrated assessment models; Equilibrium; Macroeconometric; Energy systems; Climate-economy modelling; Optimal growth; Uncertainty (search for similar items in EconPapers)
Date: 2019
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-030-03152-7_1
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DOI: 10.1007/978-3-030-03152-7_1
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