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  Understanding the distributional effects of recurrent floods in the Philippines

Sauer, I., Walsh, B., Frieler, K., Bresch, D. N., Otto, C. (2025): Understanding the distributional effects of recurrent floods in the Philippines. - iScience, 28, 2, 111733.
https://doi.org/10.1016/j.isci.2024.111733

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https://global-flood-database.cloudtostreet.ai/ (Forschungsdaten)
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 Urheber:
Sauer, Inga1, Autor                 
Walsh, Brian2, Autor
Frieler, Katja1, Autor                 
Bresch, David N.2, Autor
Otto, Christian1, 3, Autor                 
Affiliations:
1Potsdam Institute for Climate Impact Research, ou_persistent13              
2External Organizations, ou_persistent22              
3Submitting Corresponding Author, Potsdam Institute for Climate Impact Research, ou_29970              

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 Zusammenfassung: Successful recoveries of households in the aftermath of extreme weather events are key to avoid long-term poverty implications. Yet, in frequently hit regions, there may not always be enough time for households to recover in-between recurrent events. There is a common narrative that the resulting incomplete recoveries aggravate adverse impacts, but there may also be counteracting mechanisms where a cluster of events leads to less destruction than a series of well-separated events because, after the first events, there are less assets left that can be destroyed by the subsequent events. To develop a systematic quantitative understanding for the interplay of the different mechanisms, we extend an agent-based household model to recurrent floods and study their welfare effects in the Philippines in dependence of household exposure and income. We find that incomplete recoveries increase cumulative consumption and well-being losses across the study period 2000-2018 by 40%.
While low-income households suffer the highest well-being losses, lower-middle income households experience the largest relative increase in well-being (280%) and consumption losses (130%) due to incomplete recoveries. Our results show that the impacts of recurrent extreme weather events on households are not additive. In consequence, the well-being and consumption losses can be critically underestimated when concluding from the poverty implications of an individual event on the implications of recurrent events, as usually done in conventional disaster risk management. Thus, accounting for incomplete recoveries may allow to develop more effective risk management strategies and better prepare societies for an intensification of these events under global warming.

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Sprache(n): eng - English
 Datum: 2025-02-212025-01-25
 Publikationsstatus: Final veröffentlicht
 Seiten: 25
 Ort, Verlag, Ausgabe: -
 Inhaltsverzeichnis: -
 Art der Begutachtung: Expertenbegutachtung
 Identifikatoren: DOI: 10.1016/j.isci.2024.111733
Organisational keyword: RD3 - Transformation Pathways
PIKDOMAIN: RD3 - Transformation Pathways
Working Group: Event-based modeling of economic impacts of climate change
MDB-ID: No MDB - stored outside PIK (see locators/paper)
Model / method: Quantitative Methods
Regional keyword: Global
Research topic keyword: Extremes
Research topic keyword: Climate impacts
Research topic keyword: Economics
OATYPE: Gold - DEAL Elsevier
 Art des Abschluß: -

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Projektname : PIK CHANGE
Grant ID : 01LS2001
Förderprogramm : -
Förderorganisation : -
Projektname : QUIDIC
Grant ID : 01LP1907A
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Quelle 1

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Titel: iScience
Genre der Quelle: Zeitschrift, SCI, Scopus
 Urheber:
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Ort, Verlag, Ausgabe: -
Seiten: - Band / Heft: 28 (2) Artikelnummer: 111733 Start- / Endseite: - Identifikator: CoNE: https://publications.pik-potsdam.de/cone/journals/resource/2589-0042
Publisher: Elsevier
Publisher: Cell Press