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Self-interest and support for climate-related transport policy measures in Germany and Sweden
Baden-Wuerttemberg Cooperative State University (DHBW) Villingen-Schwenningen, Business School, Friedrich-Ebert-Str. 30, 78054 Villingen-Schwenningen, Germany.
University of Kassel, Institute of Economics, Nora-Platiel-Str. 4, 34109 Kassel, Germany.
Luleå University of Technology, Department of Social Sciences, Technology and Arts, Social Sciences. University of Gothenburg, Department of Economics, Vasagatan 1, 41124 Göteborg, Sweden.ORCID iD: 0000-0002-4528-1753
ZEW – Leibniz Centre for European Economic Research, L7 1, 68161 Mannheim, Germany.
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2025 (English)In: Transportation Research Part D: Transport and Environment, ISSN 1361-9209, E-ISSN 1879-2340, Vol. 144, article id 104707Article in journal (Refereed) Published
Abstract [en]

Based on survey data among citizens from Germany and Sweden, this paper examines the individual support for climate-related passenger transport policy measures. Our descriptive statistics reveal that pull policy measures are more strongly supported in both countries than push policy measures and bans. Our econometric analysis focuses on the relevance of economic self-interest, measured by indicators that are in line with the corresponding policy measure. Using multivariate ordered probit models, we show for both countries that citizens who are negatively affected by car-, air travel-, and bicycle-related policy measures are significantly more likely to disagree with them, while citizens who benefit from them are significantly more likely to support them. The corresponding estimated probability effects are substantial. For example, citizens who own or use a means of transport are estimated to be up to 21 percentage points less likely to support policy measures that negatively affect their ownership or use.

Place, publisher, year, edition, pages
Elsevier, 2025. Vol. 144, article id 104707
Keywords [en]
Climate change, Transport policy measures, Individual support, Multivariate ordered probit models, Simulated maximum likelihood estimatio
National Category
Economics
Research subject
Economics
Identifiers
URN: urn:nbn:se:ltu:diva-112603DOI: 10.1016/j.trd.2025.104707Scopus ID: 2-s2.0-105003374249OAI: oai:DiVA.org:ltu-112603DiVA, id: diva2:1956891
Funder
Mistra - The Swedish Foundation for Strategic Environmental Research
Note

Validerad;2025;Nivå 2;2025-05-07 (u4);

Fulltext license: CC BY-NC-ND

Available from: 2025-05-07 Created: 2025-05-07 Last updated: 2025-05-07Bibliographically approved

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Löfgren, Åsa

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