Flood protection and endogenous sorting of households: the role of credit constraints

Husby, T; de Groot, HLF; Hofkes, MW; Filatova, T

Flood protection and endogenous sorting of households: the role of credit constraints

Husby, T de Groot, HLF Hofkes, MW Filatova, T

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Publication Type:: Journal Article
Citation:: Mitigation and Adaptation Strategies for Global Change, 2018, 23 (2), pp. 147 - 168
Issue Date:: 2018-02-01

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Field	Value	Language
dc.contributor.author	Husby, T	en_US
dc.contributor.author	de Groot, HLF	en_US
dc.contributor.author	Hofkes, MW	en_US
dc.contributor.author	Filatova, T https://orcid.org/0000-0002-3546-6930	en_US
dc.date.available	2015-06-02	en_US
dc.date.issued	2018-02-01	en_US
dc.identifier.citation	Mitigation and Adaptation Strategies for Global Change, 2018, 23 (2), pp. 147 - 168	en_US
dc.identifier.issn	1381-2386	en_US
dc.identifier.uri	http://hdl.handle.net/10453/130565
dc.description.abstract	© 2015, The Author(s). Human migration is increasingly seen as a promising climate change adaptation and flood risk reduction strategy. The purpose of this paper is to investigate how spatial differences in flood risk, due to differences in flood protection, reduce the mobility of vulnerable households through a credit constraint mechanism. Using an equilibrium model with two households types and endogenous sorting, we show how spatial differences in flood protection lead to clustering of vulnerable households in a risky region, in a real-world setting of common United States (US) flood zones. We find clustering effects of some size for flood zones with return periods of less than 30 years.	en_US
dc.relation.ispartof	Mitigation and Adaptation Strategies for Global Change	en_US
dc.relation.isbasedon	10.1007/s11027-015-9667-7	en_US
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject.classification	Meteorology & Atmospheric Sciences	en_US
dc.title	Flood protection and endogenous sorting of households: the role of credit constraints	en_US
dc.type	Journal Article
utslib.citation.volume	2	en_US
utslib.citation.volume	23	en_US
utslib.for	0501 Ecological Applications	en_US
utslib.for	0502 Environmental Science and Management	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Information, Systems and Modelling
pubs.organisational-group	/University of Technology Sydney/Strength - PERSWADE - Centre on Persuasive Systems for Wise Adaptive Living
utslib.copyright.status	closed_access	*
pubs.issue	2	en_US
pubs.publication-status	Published	en_US
pubs.volume	23	en_US

Abstract:

© 2015, The Author(s). Human migration is increasingly seen as a promising climate change adaptation and flood risk reduction strategy. The purpose of this paper is to investigate how spatial differences in flood risk, due to differences in flood protection, reduce the mobility of vulnerable households through a credit constraint mechanism. Using an equilibrium model with two households types and endogenous sorting, we show how spatial differences in flood protection lead to clustering of vulnerable households in a risky region, in a real-world setting of common United States (US) flood zones. We find clustering effects of some size for flood zones with return periods of less than 30 years.

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http://hdl.handle.net/10453/130565