The power of bridging decision scales: Model coupling for advanced climate policy analysis
Climate policy faces increasingly complex challenges that span multiple human decision scales in nature-society systems. Contemporary climate policy models, while valuable and increasingly versatile in handling spatial and temporal scales, struggle to capture interacting multiscale decisions on the socioeconomic side. This perspective draws attention to the power of coupling among different modeling families, taking integrated assessment models (IAM), computable general equilibrium models (CGE), and agent-based models (ABM) as examples. Recent computational advances, maturity of models, availability of data, and interdisciplinary expertise make model coupling an increasingly feasible, effective, and useful tool for climate policy analysis. We examine the unique contributions of each modeling approach, highlight synergies from uniting their strengths, and discuss alternatives to and conditions for coupling. In addressing methodological challenges, we present examples of effective coupling of IAM-ABM-CGE, emphasizing the importance of maintaining model integrity while enhancing policy relevance. By bridging human decision scales and leveraging complementary strengths, coupled models can provide nuanced insights into climate-economy interactions, ultimately supporting effective and equitable-not just efficient and optimal-climate policies.
Authors
- Mariësse A.E. van Sluisveld (ORCID: https://orcid.org/0000-0002-3600-2425)
- Anton Pichler
- Theodoros Chatzivasileiadis (ORCID: https://orcid.org/0000-0001-7834-8021)
- Tatiana Filatova (ORCID: https://orcid.org/0000-0002-3546-6930)
- Nicholas R. Magliocca (ORCID: https://orcid.org/0000-0002-0971-0207)
- L. A. M. Verbeek (ORCID: https://orcid.org/0009-0009-4158-3445)
- Alessandro Taberna (ORCID: https://orcid.org/0000-0002-0207-4148)
- Stefan Nabernegg (ORCID: https://orcid.org/0000-0003-3785-2103)
- Taoyuan Wei (ORCID: https://orcid.org/0000-0002-6007-148X)
- Francesco Lamperti (ORCID: https://orcid.org/0000-0003-4862-646X)
- Giacomo Marangoni (ORCID: https://orcid.org/0000-0003-3994-380X)
- Jan Kwakkel (ORCID: https://orcid.org/0000-0001-9447-2954)
- Nina Knittel (ORCID: https://orcid.org/0000-0002-0694-3419)
- Karolina Safarzyńska (ORCID: https://orcid.org/0000-0001-5507-9287)
- Amineh Ghorbani (ORCID: https://orcid.org/0000-0002-9985-8239)
- Francesco Bosello (ORCID: https://orcid.org/0000-0001-8492-219X)
- Ignasi Cortés Arbués (ORCID: https://orcid.org/0009-0007-1210-1924)
- Joos Akkerman
- Olga Ivanova (ORCID: https://orcid.org/0000-0002-5030-4876)
- Adrian Poujon
Institutions
- Vienna University of Economics and Business (AT)
- Ministry of Economy (MK)
- Netherlands Environmental Assessment Agency (NL)
- Ca' Foscari University of Venice (IT)
- Scuola Superiore Sant'Anna (IT)
- University of Alabama (US)
- Center for Social and Economic Research (PL)
- SGH Warsaw School of Economics (PL)
- Committee on Climate Change (GB)
- RFF-CMCC European Institute on Economics and the Environment (IT)
- CICERO Center for International Climate Research (NO)
- CMCC Foundation - Euro-Mediterranean Center on Climate Change (IT)
- Complexity Science Hub (AT)
- Delft University of Technology (NL)
Publication Details
- Journal
- Proceedings of the National Academy of Sciences
- Published
- 2025-09-15
- DOI
- https://doi.org/10.1073/pnas.2411592122
- Citations
- 7
- Primary Topic
- Climate Change Policy and Economics
- Type
- article
- Field-Weighted Citation Impact
- 21.92
Funders
- Klima- und Energiefonds
- European Commission
- Nederlandse Organisatie voor Wetenschappelijk Onderzoek
- Norges Forskningsråd