Abstract
Detailed estimates of economy-wide disaster losses provide important inputs for disaster risk management. The most common models used to estimate losses are input–output (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 of people are likely to have substantial impacts on local labour and housing markets. In this paper, we argue that IO and CGE models suffer from limitations in representing household migration under disaster risk. We suggest combining IO and CGE models with agent-based models to improve the representation of migration in disaster impact analysis.
Original language | English |
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Pages (from-to) | 287-305 |
Number of pages | 19 |
Journal | Natural Hazards |
Volume | 87 |
Issue number | 1 |
DOIs | |
Publication status | Published - 1 May 2017 |
Funding
This research was carried out and funded as part of the Dutch Knowledge for Climate Research Programme (Theme 8), the EU FP7 TURAS project (Grant Agreement No: 282834), the ENHANCE project (Grant Agreement No: 308438). The paper benefitted substantially from comments by six anonymous reviewers, Henri L.F. de Groot and Marjan Hofkes.
Funders | Funder number |
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Dutch Knowledge for Climate Research Programme | |
EU FP7 TURAS | |
Seventh Framework Programme | 282834, 308438 |
Keywords
- Agent-based models
- Computable general equilibrium
- Disaster risk
- Households migration
- Input–output