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The Long Shadow of Partisan Hostility: How Affective Polarization Hinders Democracies’ Ability to Mitigate Climate Change

DSEID
DSEID-001-8959415
DOI
10.1177/00031224251396518
Journal
American Sociological Review
Publisher
SAGE Publications
Published
2026-2
Status
metadata_only

Abstract

Sociologists and others have studied whether democracies are becoming more ideologically polarized over climate change. However, research has yet to investigate if a newer form of division—affective polarization, or citizens’ hostility toward opposing party members—shapes major polluters’ carbon (CO 2 ) emissions. Building on the Advocacy Coalition Framework, integrated with neo-institutional and stakeholder perspectives, we argue that high levels of affective polarization enable power plants to emit greenhouse gases at a higher rate than those operating in less polarized contexts. To test our argument, we analyze a novel dataset of over 20,000 power plants in 92 democratic countries. Controlling for conventional predictors of emissions, we find that power plants in democracies marked by high affective polarization emit CO 2 at significantly higher rates. Also, in contexts of heightened interparty hostility, government-owned power stations emit more carbon, climate policies are less effective at curbing plants’ emissions, and plants pollute more where strong political constraints susceptible to gridlock are in place. These results are robust across different modeling specifications, suggesting that partisan animosity likely creates institutional conditions that insulate power plants from stakeholder and regulatory pressure, thereby undermining democracies’ ability to limit emissions from some of the world’s largest carbon polluters.

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Metadata

Title
The Long Shadow of Partisan Hostility: How Affective Polarization Hinders Democracies’ Ability to Mitigate Climate Change
Delta ID
DSEID-001-8959415
Authors
Don Grant, Andrew Jorgenson, Wesley Longhofer, Ion Bodgan (“Bodi”) Vasi
Abstract source
crossref
Source URL
None
Access
closed_or_uncertain
Licence
unknown
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WhenEventFieldOldNew
2026-06-18 19:37:53.011249+00:00identifier_assignedDSEIDDSEID-001-8959415