2017
DOI: 10.1007/s11069-017-2763-0
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Household migration in disaster impact analysis: incorporating behavioural responses to risk

Abstract: Detailed estimates of economy-wide disaster losses provide important inputs for disaster risk management. The most common models used to estimate losses are inputoutput (IO) and computable general equilibrium (CGE) models. A key strength of these models is their ability to capture the ripple effects, whereby the impacts of a disaster are transmitted to regions and sectors that are not directly affected by the event. One important transmission channel is household migration. Changes in the spatial distribution … Show more

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Cited by 12 publications
(6 citation statements)
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References 130 publications
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“…It can also help families absorb the shock of disasters (Gain et al, 2019). In geologically fragile areas, remittances help build household resilience, especially when adaptation programs require large cash investments (Bian et al, 2022; Husby & Koks, 2017). This phenomenon is not inconsistent with the results of this paper.…”
Section: Discussionmentioning
confidence: 99%
“…It can also help families absorb the shock of disasters (Gain et al, 2019). In geologically fragile areas, remittances help build household resilience, especially when adaptation programs require large cash investments (Bian et al, 2022; Husby & Koks, 2017). This phenomenon is not inconsistent with the results of this paper.…”
Section: Discussionmentioning
confidence: 99%
“…While previous studies have integrated economic approaches to estimate physical damage, more work is required on the interactions of economic agents with respect to spatial mobility of factor inputs and commodities using a spatial network. In particular, as discussed in Husby and Koks (2017), the integration of micro‐spatial analysis at the city level with traditional macro‐spatial or aggregated regional models might be suitable for economic analysis of disasters. It is essential to understand the spatial diffusion patterns of the adverse effects from disasters across spatial units.…”
Section: Literature Reviewsmentioning
confidence: 99%
“…Some neighbourhoods are always assessed as extreme risk; Little Cape Bay ( 60), Rockland (55). Furthermore, those neighbourhoods that were evaluated as extreme in all four ADRA assessments are: Maho ( 3), Simpson Bay Village ( 6), Cay Hill ( 24), Little Bay Village ( 57), Mary's Estate ( 22), St Peters (17), Reward ( 15), Madame's Estate (32), and Ocean Terrace (45). Particular attention should be put into these neighbourhoods towards DRR action plans or contingency plans for post-disaster relief.…”
Section: Adra Computationmentioning
confidence: 99%