Publication:
Global Socio-economic Resilience to Natural Disasters

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dc.contributor.authorMiddelanis, Robin
dc.contributor.authorJafino, Bramka Arga
dc.contributor.authorHill, Ruth
dc.contributor.authorNguyen, Minh Cong
dc.contributor.authorHallegatte, Stephane
dc.date.accessioned2025-05-22T14:48:16Z
dc.date.available2025-05-22T14:48:16Z
dc.date.issued2025-05-22
dc.description.abstractMost disaster risk assessments use damages to physical assets as their central metric, often neglecting distributional impacts and the coping and recovery capacity of affected people. To address this shortcoming, the concepts of well-being losses and socio-economic resilience—the ability to experience asset losses without a decline in well-being—have been proposed. This paper uses microsimulations to produce a global estimate of well-being losses from, and socio-economic resilience to, natural disasters, covering 132 countries. On average, each $1 in disaster-related asset losses results in well-being losses equivalent to a $2 uniform national drop in consumption, with significant variation within and across countries. The poorest income quintile within each country incurs only 9% of national asset losses but accounts for 33% of well-being losses. Compared to high-income countries, low-income countries experience 67% greater well-being losses per dollar of asset losses and require 56% more time to recover. Socio-economic resilience is uncorrelated with exposure or vulnerability to natural hazards. However, a 10 percent increase in GDP per capita is associated with a 0.9 percentage point gain in resilience, but this benefit arises indirectly—such as through higher rate of formal employment, better financial inclusion, and broader social protection coverage—rather than from higher income itself. This paper assess ten policy options and finds that socio-economic and financial interventions (such as insurance and social protection) can effectively complement asset-focused measures (e.g., construction standards) and that interventions targeting low-income populations usually have higher returns in terms of avoided well-being losses per dollar invested.en
dc.identifierhttp://documents.worldbank.org/curated/en/099542505212567521
dc.identifier.urihttps://hdl.handle.net/10986/43229
dc.languageEnglish
dc.language.isoen_US
dc.publisherWashington, DC: World Bank
dc.relation.ispartofseriesPolicy Research Working Paper; 11129
dc.rightsCC BY 3.0 IGO
dc.rights.holderWorld Bank
dc.rights.urihttps://creativecommons.org/licenses/by/3.0/igo/
dc.subjectNATURAL DISASTERS
dc.subjectRISK REDUCTION
dc.subjectWELL-BEING
dc.subjectRESILIENCE
dc.subjectRECOVERY
dc.titleGlobal Socio-economic Resilience to Natural Disastersen
dc.typeWorking Paper
dspace.entity.typePublication
okr.date.disclosure2025-05-22
okr.date.lastmodified2025-05-21T18:06:26Zen
okr.doctypePolicy Research Working Paper
okr.doctypePublications & Research
okr.docurlhttp://documents.worldbank.org/curated/en/099542505212567521
okr.guid099542505212567521
okr.identifier.docmidIDU-c00f466d-e3e5-4c61-93f2-1e768a22b785
okr.identifier.doi10.1596/1813-9450-11129
okr.identifier.externaldocumentum40014817
okr.identifier.internaldocumentum40014817
okr.identifier.reportWPS11129
okr.import.id7427
okr.importedtrueen
okr.language.supporteden
okr.pdfurlhttps://documents.worldbank.org/curated/en/099542505212567521/pdf/IDU-c00f466d-e3e5-4c61-93f2-1e768a22b785.pdfen
okr.region.geographicalWorld
okr.topicPoverty Reduction::Equity and Development
okr.topicPoverty Reduction::Inequality
okr.topicPoverty Reduction::Poverty Monitoring & Analysis
okr.topicEnvironment::Natural Disasters
okr.topicEnvironment::Environmental Economics & Policies
okr.unitISADR - Director SAR Infrastructure; EPVGE - EFI-Poverty and Equity-GE; GGSVP - VP
okr.unitSD Practice Group
relation.isAuthorOfPublication2fea2b63-4a74-5fbd-b964-71ef895df009
relation.isAuthorOfPublication.latestForDiscovery2fea2b63-4a74-5fbd-b964-71ef895df009
relation.isSeriesOfPublication26e071dc-b0bf-409c-b982-df2970295c87
relation.isSeriesOfPublication.latestForDiscovery26e071dc-b0bf-409c-b982-df2970295c87
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