Journal article
Prioritising resilience policies to reduce welfare losses from natural disasters: A case study for coastal Bangladesh
- Abstract:
- Quantified flood risk assessments focus on asset losses, neglecting longer-term impacts to household welfare via income and consumption losses. The extent of welfare losses depends upon resilience – the ability to anticipate, resist, cope, recover and learn from a shock. Here, we use a novel welfare loss modelling framework and perform a high-resolution spatial analysis in coastal Bangladesh to quantify welfare losses from a tropical cyclone under present and future climatic and socio-economic conditions. We further test various adaptation options that are intended to enhance resilience. Results show that poor households experience, on average, 7% of the asset losses, but 42% of the welfare losses. Combining dike heightening, post-disaster support and stronger housing can reduce welfare losses by up to 70%, and foster sustainable development by benefitting the poor, increasing resilience and demonstrating robustness under socio-economic and climatic uncertainties. Thus, a welfare-orientated perspective helps to identify adaptation options that enhance resilience and leave no-one behind.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
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(Preview, Version of record, 3.4MB, Terms of use)
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- Publisher copy:
- 10.1016/j.gloenvcha.2020.102179
Authors
- Publisher:
- Elsevier
- Journal:
- Global Environmental Change More from this journal
- Volume:
- 65
- Issue:
- November 2020
- Article number:
- 102179
- Publication date:
- 2020-10-02
- Acceptance date:
- 2020-09-20
- DOI:
- ISSN:
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0959-3780
- Language:
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English
- Keywords:
- Pubs id:
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1138502
- Local pid:
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pubs:1138502
- Deposit date:
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2020-10-27
Terms of use
- Copyright holder:
- J Verschuur et al.
- Copyright date:
- 2020
- Rights statement:
- © 2020 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
- Licence:
- CC Attribution (CC BY)
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