Priming for individual energy efficiency action crowds out support for national climate change policy
Jorie Knook,
Zack Dorner and
Philip Stahlmann-Brown
Ecological Economics, 2022, vol. 191, issue C
Abstract:
The uptake of actions to mitigate climate change at the household level might crowd out subsequent policy at the national level, which is problematic because national policy often has a larger mitigation potential than individual household measures. This study analyses crowding out between the uptake of low-cost actions and the support for national climate change policy in the agricultural sector. In the experimental set-up, survey respondents were primed to think about the implementation of low-cost mitigation practices and subsequently asked to express support for national mitigation policy. The results show a crowding-out effect between individual mitigation measures and support for national policy. Individuals with high levels of worry show a stronger crowding out effect. This study contributes to building understanding of when and why crowding out occurs in order to help frame and communicate future climate change policy.
Keywords: Behavioural spillover; Agriculture; Landowner decision making; Crowding out effect; Policy; Climate change (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0921800921002986
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:191:y:2022:i:c:s0921800921002986
DOI: 10.1016/j.ecolecon.2021.107239
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 ().