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Cited by 580

The DOI matches its Crossref record; 69 of the 69 references it cites were found in a registry or an index.

Support for Climate Change Policy: Social Psychological and Social Structural Influences*

Dietz, Thomas, Dan, Amy, Shwom, Rachael·2007·Rural Sociology

Abstract

Abstract We investigated preferences for climate change mitigation policies and factors contributing to higher levels of policy support. The sample was comprised of 316 Michigan and Virginia residents, all of whom completed mail surveys. Of the eight policies proposed to reduce the burning of fossil fuels, respondents overwhelmingly indicated they would not support a gas tax, while support was highest for shifting subsidies away from fossil fuels and towards sustainable energy strategies. With the exception of taxes on gasoline and “gas guzzlers,” a majority of respondents supported all other mitigation policies. Multivariate analyses revealed that greater trust in environmentalists and less trust in industry, greater recognition of the consequences of climate change, higher income, being black, and older age were predictive of greater policy support. Personal values (e.g., altruism), future orientation, and political affiliation were strong predictors of policy support but only indirectly via worldviews and environmental beliefs.

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Crossref · 10.1526/003601107781170026

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Metadata

Authors
Dietz, T., Dan, A., & Shwom, R.
Venue
Rural Sociology
Publisher
Wiley
Published
2007-06
Volume
72
Issue
2
Pages
185-214
ISSN
  • 0036-0112 (ISSN-L)
  • 1549-0831
OpenAlex
W2136785298
Cited by
580
References
69
FWCI
35.00
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Support for Climate Change Policy: Social Psychological and Social Structural Influences*. https://app.cochat.ai/papers/10.1526/003601107781170026
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Dietz, T., Dan, A., & Shwom, R. (2007). Support for Climate Change Policy: Social Psychological and Social Structural Influences*. Rural Sociology. https://doi.org/10.1526/003601107781170026

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.