Uncertainty about carbon impact and the willingness to avoid CO2 emissions
Davide D. Pace,
Taisuke Imai,
Peter Schwardmann and
Joël J. van der Weele
Ecological Economics, 2025, vol. 227, issue C
Abstract:
Using data from a large representative survey, we document that consumers are very uncertain about the emissions associated with various actions, which may affect their willingness to reduce their carbon footprint. We then experimentally test two channels for the behavioral impact of such uncertainty, namely risk aversion about the impact of mitigating actions and the formation of motivated beliefs about this impact. In two novel large online experiments (N=2,219), participants make incentivized trade-offs between personal gain and (uncertain) carbon impact. We find no evidence that uncertainty affects individual climate change mitigation efforts through risk aversion or motivated belief channels. The results suggest that reducing consumer uncertainty through information campaigns is not a policy panacea and that communicating scientific uncertainty around climate impact need not backfire.
Keywords: CO2 emissions; Sustainable consumption; Economic experiments (search for similar items in EconPapers)
JEL-codes: C91 D81 Q54 (search for similar items in EconPapers)
Date: 2025
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0921800924002982
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:ecolec:v:227:y:2025:i:c:s0921800924002982
DOI: 10.1016/j.ecolecon.2024.108401
Access Statistics for this article
Ecological Economics is currently edited by C. J. Cleveland
More articles in Ecological Economics from Elsevier
Bibliographic data for series maintained by Catherine Liu ().