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Multidimensional partisanship shapes climate policy support and behaviours

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  • Adam P. Mayer

    (Michigan State University – Center for Global Change and Earth Observations)

  • E. Keith Smith

    (ETH Zürich – International Political Economy and Environmental Politics)

Abstract

Partisanship is one of the largest and most studied social barriers to climate change mitigation in the United States. Here we expand conceptualizations of ‘left-right’ or ‘Democrat-Republican’ towards understanding partisanship as a multidimensional social identity with both negative and positive elements. Partisan support or opposition for climate action can be driven by identification with the partisan in-group (positive or ‘expressive’ partisanship), as well as perceived threats from the ‘out-group’ (negative partisanship). Using original survey data, we show that when negative and expressive partisanship is low, climate policy support is similar for Republicans and Democrats. However, differences in policy support increase when partisan identification amplifies. Yet, for climate behaviours, we find more limited partisan effects. The proposed multidimensional partisanship framework revisits the role of partisan polarization in shaping climate change action and points to alternative ways to transcend partisan barriers.

Suggested Citation

  • Adam P. Mayer & E. Keith Smith, 2023. "Multidimensional partisanship shapes climate policy support and behaviours," Nature Climate Change, Nature, vol. 13(1), pages 32-39, January.
    • Handle: RePEc:nat:natcli:v:13:y:2023:i:1:d:10.1038_s41558-022-01548-6
    DOI: 10.1038/s41558-022-01548-6
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    References listed on IDEAS

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    1. Roulin, Nicolas, 2015. "Don't Throw the Baby Out With the Bathwater: Comparing Data Quality of Crowdsourcing, Online Panels, and Student Samples," Industrial and Organizational Psychology, Cambridge University Press, vol. 8(2), pages 190-196, June.
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    Cited by:

    1. Sibel Eker & Charlie Wilson & Niklas Hohne & Mark S. McCaffrey & Irene Monasterolo & Leila Niamir & Caroline Zimm, 2023. "A dynamic systems approach to harness the potential of social tipping," Papers 2309.14964, arXiv.org.

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