Prospect theory, mitigation and adaptation to climate change
Daniel Osberghaus
Journal of Risk Research, 2017, vol. 20, issue 7, 909-930
Abstract:
Prospect theory (PT) is a widely accepted theory for decisions under uncertainty. However, so far a systematic application to climate policy (CP) does not exist. One important postulation of PT is that outcomes are perceived as gains or losses, relative to the reference point. When it comes to CP, different decision-makers may have different reference points. For example, one decision-maker perceives the current climate as the reference point whereas another decision-maker may have another one, say climate in 100 years. For the former, climate damages are losses and the benefits of CP are reductions of losses. For the latter, benefits of CP are gains. PT suggests that the former places a higher value in CP than the latter. After a critical review whether and how PT may be applied to CP, the paper systematically presents this and other cases where PT offers new insights into climate-related analyses, notwithstanding the importance of well-known aspects such as discounting, altruism, political and economic costs. It is shown that accounting for PT may contribute to a better understanding of some well-known puzzles in the climate debate, including different preferences for CP amongst individuals and nations, the role of technical vs. financial adaptation, and the apparent preference for hard protection measures in coastal adaptation. Finally, concrete possibilities for empirical research on these effects are proposed.
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (9)
Downloads: (external link)
http://hdl.handle.net/10.1080/13669877.2015.1121907 (text/html)
Access to full text is restricted to subscribers.
Related works:
Working Paper: Prospect theory, mitigation and adaptation to climate change (2013) 
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:taf:jriskr:v:20:y:2017:i:7:p:909-930
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/RJRR20
DOI: 10.1080/13669877.2015.1121907
Access Statistics for this article
Journal of Risk Research is currently edited by Bryan MacGregor
More articles in Journal of Risk Research from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().