Eprint first made available on ORBilu (E-prints, Working papers and Research blog)
Common pool resource management and risk perceptions
Mavi, Can Askan; Quérou, Nicolas
2020
 

Files


Full Text
biased_29112020.pdf
Author preprint (25.12 MB)
biased_Mavi_Quérou
Download

All documents in ORBilu are protected by a user license.

Send to



Details



Keywords :
conservation; perception bias; renewable resources
Abstract :
[en] Motivated by recent discussions about the issue of risk perceptions for climate change related events, we introduce a non-cooperative game setting where agents manage a common pool resource under a potential risk, and agents exhibit different risk perception biases. Focusing on the effect of the polarization level and other population features, we show that the type of bias (overestimation versus underestimation biases) and the resource quality level before and after the occurrence of the shift have first-order importance on the qualitative nature of behavioral adjustments and on the pattern of resource conservation. When there are non-uniform biases within the population, the intra-group structure of the population qualitatively affects the degree of resource conservation. Moreover, unbiased agents may react in nonmonotone ways to changes in the polarization level when faced with agents exhibiting different types of bias. The size of the unbiased agents’ sub-population does not qualitatively affect how an increase in the polarization level impacts individual behavioral adjustments, even though it affects the magnitude of this change. Finally, it is shown how perception biases affect the comparison between centralized and decentralized management.
Disciplines :
Special economic topics (health, labor, transportation...)
Author, co-author :
Mavi, Can Askan ;  University of Luxembourg > Faculty of Law, Economics and Finance (FDEF) > Department of Economics and Management (DEM)
Quérou, Nicolas
Language :
English
Title :
Common pool resource management and risk perceptions
Publication date :
01 December 2020
Number of pages :
41
Available on ORBilu :
since 01 January 2021

Statistics


Number of views
116 (3 by Unilu)
Number of downloads
35 (1 by Unilu)

Bibliography


Similar publications



Contact ORBilu