Agent‐based modeling to integrate elements from different disciplines for ambitious climate policy

Savin, I., Creutzig, F., Filatova, T., Foramitti, J., Konc, T., Niamir, L. ORCID: https://orcid.org/0000-0002-0285-5542, Safarzynska, K., & van den Bergh, J. (2022). Agent‐based modeling to integrate elements from different disciplines for ambitious climate policy. WIREs Climate Change e811. 10.1002/wcc.811.

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Project: Behavioral-evolutionary analysis of climate policy: Bounded rationality, markets and social interactions (EVOCLIM, H2020 741087)

Abstract

Ambitious climate mitigation policies face social and political resistance. One reason is that existing policies insufficiently capture the diversity of relevant insights from the social sciences about potential policy outcomes. We argue that agent-based models can serve as a powerful tool for integration of elements from different disciplines. Having such a common platform will enable a more complete assessment of climate policies, in terms of criteria like effectiveness, equity and public support.

Item Type: Article
Uncontrolled Keywords: agent-based modelling; climate change; policy acceptability; policy integration; policy stringency
Research Programs: Energy, Climate, and Environment (ECE)
Energy, Climate, and Environment (ECE) > Sustainable Service Systems (S3)
Depositing User: Michaela Rossini
Date Deposited: 28 Nov 2022 09:39
Last Modified: 28 Nov 2022 09:39
URI: https://pure.iiasa.ac.at/18425

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