Flood Protection and Endogenous Sorting of Households: the role of credit constraints
| Autor: | Trond Husby, Marjan W. Hofkes, Tatiana Filatova, Hendri L.F. de Groot |
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| Přispěvatelé: | Department of Governance and Technology for Sustainability, Environmental Economics, Spatial Economics, Economics, Amsterdam Global Change Institute |
| Jazyk: | angličtina |
| Rok vydání: | 2018 |
| Předmět: |
Natural resource economics
Climate change Tiebout model Tiebout-sorting 0502 economics and business parasitic diseases SDG 13 - Climate Action Meteorology & Atmospheric Sciences 050207 economics Adaptation Cluster analysis Constraint (mathematics) Reduction strategy Global and Planetary Change Actuarial science Flood myth Ecology Human migration business.industry 05 social sciences fungi Sorting food and beverages Credit constraints humanities 13. Climate action IR-96881 Flood protection Original Article 050202 agricultural economics & policy business METIS-311312 geographic locations |
| Zdroj: | Husby, T G, de Groot, H L F, Hofkes, M & Filatova, T 2018, ' Flood Protection and Endogenous Sorting of Households: the role of credit constraints ', Mitigation and Adaptation Strategies for Global Change, vol. 23, no. 2, pp. 147-168 . https://doi.org/10.1007/s11027-015-9667-7 Mitigation and Adaptation Strategies for Global Change Mitigation and adaptation strategies for global change, 23(2), 147-168. Springer Mitigation and Adaptation Strategies for Global Change, 23(2), 147-168. Springer Netherlands |
| ISSN: | 1381-2386 |
| Popis: | © 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. |
| Databáze: | OpenAIRE |
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