Partisan asymmetry in temporal stability of climate change beliefs
Autor: | Hank C. Jenkins-Smith, Carol L. Silva, Kuhika Gupta, Ani Ter-Mkrtchyan, Deven Carlson, Joseph T. Ripberger, Riley E. Dunlap, Nina Carlson |
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Rok vydání: | 2020 |
Předmět: |
Panel survey
0303 health sciences 010504 meteorology & atmospheric sciences media_common.quotation_subject Polarization (politics) Climate change Environmental Science (miscellaneous) 01 natural sciences 03 medical and health sciences Politics Political science Political economy Elite Rhetoric Survey data collection Social Sciences (miscellaneous) 030304 developmental biology 0105 earth and related environmental sciences media_common |
Zdroj: | Nature Climate Change. 10:322-328 |
ISSN: | 1758-6798 1758-678X |
DOI: | 10.1038/s41558-020-0719-y |
Popis: | Existing literature on climate change beliefs in the US suggests that partisan polarization begets climate change polarization and that the climate beliefs of those on both sides of the partisan divide are firmly held and invariable. Here, we use data from a large panel survey of Oklahoma residents administered quarterly from 2014 through 2018 to challenge this perspective. Contrary to the expectation of rough symmetry in partisan polarization on climate change, we find that partisans on the political right have much more unstable beliefs about climate change than partisans on the left. An important implication is that if climate beliefs are well anchored on the left, but less so on the right, the latter are more susceptible to change. We interpret this to suggest that, despite polarizing elite rhetoric, public beliefs about climate change maintain the potential to shift towards broader acceptance and a perceived need for action. Climate change beliefs in the US are politically polarized. Using longitudinal survey data, this study finds that climate change beliefs are less stable over time for Republicans compared with Democrats, suggesting that public beliefs may eventually shift towards broader acceptance. |
Databáze: | OpenAIRE |
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