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What Does It Take?: A Cross-National Study Exploring Drivers for Willingness to Engage in Effortful Climate Action
IPN Leibniz Inst Sci & Math Educ, Dept Biol Educ, Kiel, Germany..
Karlstad University, Faculty of Health, Science and Technology (starting 2013), Department of Environmental and Life Sciences (from 2013).ORCID iD: 0000-0003-4306-8278
Karlstad University, Faculty of Health, Science and Technology (starting 2013), Department of Environmental and Life Sciences (from 2013).ORCID iD: 0000-0001-8735-2102
Karlstad University, Faculty of Health, Science and Technology (starting 2013), Department of Engineering and Physics (from 2013).ORCID iD: 0000-0003-4997-2938
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2026 (English)In: Sustainable Development, ISSN 0968-0802, E-ISSN 1099-1719Article in journal (Refereed) Epub ahead of print
Abstract [en]

While much is known about what drives general participation in climate action, less is known about the drivers of actions that are explicitly linked to time, resource, or convenience constraints (i.e., effortful climate action). Understanding what drives effortful climate action is important to effectively tackle climate change, as many high impact actions will most likely require additional effort. In this cross-sectional study (N = approx. 4000), the theoretical framework of climate literacy is used to examine how knowledge, skills, value orientations, and risk perception help explain people's willingness to take effortful climate action in Germany and Sweden. The results of the sequential regression analyses indicate that risk perception (i.e., "How concerned are you about global warming?") is the strongest relative predictor of willingness to engage in effortful climate action in both countries. In contrast, the explanatory potential of knowledge about climate change and data analysis and interpretation skills is rather weak.

Place, publisher, year, edition, pages
WILEY , 2026.
Keywords [en]
climate action, climate literacy, risk perception, sequential regression analysis
National Category
Educational Sciences Economics and Business
Research subject
Biology; Statistics
Identifiers
URN: urn:nbn:se:kau:diva-111919DOI: 10.1002/sd.71510ISI: 001829935100001Scopus ID: 2-s2.0-105045650633OAI: oai:DiVA.org:kau-111919DiVA, id: diva2:2090830
Available from: 2026-08-10 Created: 2026-08-10 Last updated: 2026-08-13Bibliographically approved

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Christenson, NinaGericke, NiklasHaglund, JesperAppelgren, Jari

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4748495051525350 of 55
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