The Politicization of Climate Change and Polarization in the American Public's Views of Global Warming, 2001–2010
Abstract
We examine political polarization over climate change within the American public by analyzing data from 10 nationally representative Gallup Polls between 2001 and 2010. We find that liberals and Democrats are more likely to report beliefs consistent with the scientific consensus and express personal concern about global warming than are conservatives and Republicans. Further, the effects of educational attainment and self-reported understanding on global warming beliefs and concern are positive for liberals and Democrats, but are weaker or negative for conservatives and Republicans. Last, significant ideological and partisan polarization has occurred on the issue of climate change over the past decade.
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Democrats in the U.S. have greater belief in and concern for climate change than Republicans.
“McCright and Dunlap (2011) have shown that Democrats in the U.S. have greater belief in and concern for climate change than Republicans.”
From A Social Identity Analysis of Climate Change and Environmental Attitudes and Behaviors: Insights and Opportunities (2016) · cites this paper as McCright and Dunlap (2011)
Exposure to different kinds of information on media, politicization of climate change, and exposure to fake information on social media are potential reasons that can contribute to polarization of beliefs about the reality of climate change.
“Various factors like exposure to different kind of information on the media (Iyengar and Massey, 2019;Williams, 2016), politicization of climate change (McCright and Dunlap, 2011), and exposure to fake information on social media platforms are potential reasons that can contribute to polarization of beliefs about the reality of climate change.”
From Credibility of climate change denial in social media (2019) · cites this paper as McCright and Dunlap, 2011
Heterogeneous and bimodal distributions of opinions have been measured in political surveys, especially on controversial issues.
“However, this prediction is not always confirmed empirically: heterogeneous and bimodal distributions of opinions have been measured in political surveys [6, 7], especially on controversial issues, like abortion or global warming [8, 9].”
From Modeling echo chambers and polarization dynamics in social networks (2020) · cites this paper as [8]
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- Authors
- McCright, A. M., & Dunlap, R. E.
- Affiliations
- Michigan State University (US)
- Oklahoma State University (US)
- Corresponding author
- McCright, Aaron M.
- Venue
- The Sociological Quarterly
- Publisher
- Informa UK Limited
- Published
- 2011-05
- Volume
- 52
- Issue
- 2
- Pages
- 155-194
- ISSN
- 0038-0253 (ISSN-L)
- 1533-8525
- OpenAlex
- W2128082596
- Cited by
- 2,340
- References
- 70
- Citations by year
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- FWCI
- 261.54
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Sociological Quarterly (publishedVersion)
- Topics
- Social Sciences › Sociology and Political Science › Climate Change Communication and Perception
- Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Climate Change Policy and Economics
- Social Sciences › Political Science and International Relations › Electoral Systems and Political Participation
- Keywords
- climate change, climate change beliefs, political polarization, partisanship, ideology, liberals and conservatives, Democrats and Republicans, public opinion, scientific consensus, educational attainment, politicization
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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