Replication Data for: "An empirically-based dynamic approach to sustainable climate policy design"

DOI

The published Stata syntax and data files can be used to replicate the results reported in Schmelz, K. & Bowles, S. (2025): Conventional approaches to policy design often fail to recognize the plasticity of citizens’ beliefs and values upon which policy effectiveness and political sustainability depends. By way of illustration, we show that environmental policies may fail this test, crowding out pre-existing green values. Our representative survey of 3,306 Germans finds that enforced restrictions to promote carbon-neutral lifestyles would trigger strong negative responses because they “restrict freedom.” This is true even among those who would adopt green lifestyles when voluntary, possibly undermining support for green political movements. These results combined with the long-term political consequences of the polarizing reactions to covid mandates motivate a new approach to climate policy design. We set aside the conventional economic model assuming self-interested citizens, in which there could be no green values to crowd out. Instead, we propose a dynamic approach recognizing that a) to succeed, essential policies including bans, carbon taxes and the promotion of new technologies must be both implementable and politically sustainable, entailing b) a critical role for citizens’ green values, which c) may be either diminished or cultivated, depending on policy design.

Non-probability Sample

Web-based interviewInterview.WebBased

Webbasiertes InterviewInterview.WebBased

Identifier
DOI https://doi.org/10.7802/2961
Source https://search.gesis.org/research_data/SDN-10.7802-2961?lang=de
Metadata Access https://datacatalogue.cessda.eu/oai-pmh/v0/oai?verb=GetRecord&metadataPrefix=oai_ddi25&identifier=4e303f663e815a3496f357495f73ea9f997f04e581e3a2b5b12a8f7139fb7933
Provenance
Creator Schmelz, Katrin; Bowles, Samuel
Publisher GESIS Data Archive for the Social Sciences; GESIS Datenarchiv für Sozialwissenschaften
Publication Year 2025
Funding Reference [Funded by the Deutsche Forschungsgemeinschaft (DFG – German Research Foundation) under Germany‘s Excellence Strategy – EXC-2035/1 – 390681379]
Rights Free access (without registration) - The research data can be downloaded directly by anyone without further limitations. CC BY-SA 4.0: Attribution – ShareAlike (https://creativecommons.org/licenses/by-sa/4.0/deed.de); Freier Zugang (ohne Registrierung) - Die Forschungsdaten können von jedem direkt heruntergeladen werden. CC BY-SA 4.0: Attribution – ShareAlike (https://creativecommons.org/licenses/by-sa/4.0/deed.de)
OpenAccess true
Contact http://www.gesis.org/
Representation
Discipline Social Sciences
Spatial Coverage Germany; Germany