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Climate Policy Costs, Regional Politics, and Backlash against International Co-operation

Published online by Cambridge University Press:  23 October 2025

Patrick Bayer*
Affiliation:
School of Social and Political Sciences, University of Glasgow, Glasgow, UK
Federica Genovese
Affiliation:
Department of Politics and International Relations, University of Oxford, Oxford, UK
*
Corresponding author: Patrick Bayer; Email: patrick.bayer@glasgow.ac.uk
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Abstract

This paper investigates the conditions under which subnational concerns shape public assessments of international climate governance. In line with existing literature, we maintain that costly policy adjustments fuel negative views of international co-operation in policy-exposed regions. At the same time, we argue that the more resentful relations are with the national center of politics, the more sympathetic these regions are to international institutions and global governance. Based on geographically targeted survey data from the United Kingdom, we find that fossil fuel-intensive regions with strong, institutionalized regional politics have more positive assessments of international climate co-operation than structurally similar regions where regional political institutions are less pronounced. The findings show that regional politics characteristics are key for understanding climate policy beliefs among citizens that bear the brunt of adjustments to international climate agreements.

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Article
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
© The Author(s), 2025. Published by Cambridge University Press
Figure 0

Figure 1. Main results: climate governance preferences by UK sampleNote: panels show indicated choice for local, subnational, national, and international levels of climate governance by respondents from our survey samples ($y$-axis). Point estimates and error bars denote average predicted probabilities by sample from multinomial logistic regressions and 95 per cent confidence intervals. Estimates for the general population sample are shaded in gray to help contextualize relative effect sizes. Statistically significant pairwise comparisons of average predicted probabilities between Yorkshire/Cumbria and Scotland as well as between Yorkshire/Cumbria and Wales are shown in yellow ($p \lt 0.05$, two-tailed equivalence tests).

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