Extreme weather event attribution predicts climate policy support across the world

Open Access
Authors
  • Viktoria Cologna
  • Simona Meiler
  • Chahan M. Kropf
  • Samuel Lüthi
  • Niels G. Mede
  • David N. Bresch
  • Oscar Lecuona
  • Sebastian Berger
  • John Besley
  • Cameron Brick ORCID logo
  • Marina Joubert
  • Edward W. Maibach
  • Sabina Mihelj
  • Naomi Oreskes
  • Mike S. Schäfer
  • Sander van der Linden
  • TISP Consortium
  • Myrto Pantazi ORCID logo
  • André Krouwel
  • Alaa Aldoh ORCID logo
Publication date 07-2025
Journal Nature Climate Change
Volume | Issue number 15 | 7
Pages (from-to) 725-735
Organisations
  • Faculty of Science (FNWI) - Institute for Biodiversity and Ecosystem Dynamics (IBED)
  • Faculty of Social and Behavioural Sciences (FMG) - Psychology Research Institute (PsyRes)
Abstract
Extreme weather events are becoming more frequent and intense due to climate change. Yet, little is known about the relationship between exposure to extreme events, subjective attribution of these events to climate change, and climate policy support, especially in the Global South. Combining large-scale natural and social science data from 68 countries (N = 71,922), we develop a measure of exposed population to extreme weather events and investigate whether exposure to extreme weather and subjective attribution of extreme weather to climate change predict climate policy support. We find that most people support climate policies and link extreme weather events to climate change. Subjective attribution of extreme weather was positively associated with policy support for five widely discussed climate policies. However, exposure to most types of extreme weather event did not predict policy support. Overall, these results suggest that subjective attribution could facilitate climate policy support.
Document type Article
Note With supplementary information
Language English
Published at https://doi.org/10.1038/s41558-025-02372-4
Other links https://doi.org/10.17605/OSF.IO/G23A7 https://www.scopus.com/pages/publications/105025036530
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