Arbeitspapier

Evidence from measuring community flood resilience in Asia

Disaster risk and subsequent loss and damage in Asia are increasing at an alarming rate, threatening socioeconomic gains. Arresting this rapid increase in exposure requires risk-informed development and urban planning - a challenging proposition complicated by multiple economic and political incentives. To reduce these risks, action at the national and regional levels must be complemented by action at the community level. Measuring community disaster resilience can help lead to novel and systemic investments that build community resilience. Our analysis of community flood resilience data finds deficiencies and potential for substantial improvements in community flood resilience investment across the region, with different recommendations for urban, peri-urban, and rural locations. Our evidence from case studies shows that interventions prioritized by the measurementinformed process are more likely to succeed and be sustainable and have cobenefits for community development.

Sprache
Englisch

Erschienen in
Series: ADB Economics Working Paper Series ; No. 595

Klassifikation
Wirtschaft
Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
Socialist Systems and Transitional Economies: Urban, Rural, and Regional Economics
Climate; Natural Disasters and Their Management; Global Warming
Ecological Economics: Ecosystem Services; Biodiversity Conservation; Bioeconomics; Industrial Ecology
Thema
assets and livelihoods
decision making
disaster
flood
measurement
resilience
wastemanagement

Ereignis
Geistige Schöpfung
(wer)
Laurien, Finn
Keating, Adriana
Ereignis
Veröffentlichung
(wer)
Asian Development Bank (ADB)
(wo)
Manila
(wann)
2019

DOI
doi:10.22617/WPS190484-2
Handle
Letzte Aktualisierung
10.03.2025, 11:44 MEZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Arbeitspapier

Beteiligte

  • Laurien, Finn
  • Keating, Adriana
  • Asian Development Bank (ADB)

Entstanden

  • 2019

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