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Evidence from Measuring Community Flood Resilience in Asia

Author

Listed:
  • Laurien , Finn

    (International Institute for Applied Systems Analysis)

  • Keating, Adriana

    (International Institute for Applied Systems Analysis)

Abstract

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 measurement-informed process are more likely to succeed and be sustainable and have cobenefits for community development.

Suggested Citation

  • Laurien , Finn & Keating, Adriana, 2019. "Evidence from Measuring Community Flood Resilience in Asia," ADB Economics Working Paper Series 595, Asian Development Bank.
    • Handle: RePEc:ris:adbewp:0595
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    References listed on IDEAS

    as
    1. Angelika Wirtz & Wolfgang Kron & Petra Löw & Markus Steuer, 2014. "The need for data: natural disasters and the challenges of database management," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 70(1), pages 135-157, January.
    2. Richard S.J. Tol & Gary W. Yohe, 2005. "Infinite Uncertainty, Forgotten Feedbacks, And Cost-Benefit Analysis Of Climate Policy," Wesleyan Economics Working Papers 2005-003, Wesleyan University, Department of Economics.
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    Cited by:

    1. Md. Nawrose Fatemi & Seth Asare Okyere & Stephen Kofi Diko & Michihiro Kita & Motoki Shimoda & Shigeki Matsubara, 2020. "Physical Vulnerability and Local Responses to Flood Damage in Peri-Urban Areas of Dhaka, Bangladesh," Sustainability, MDPI, vol. 12(10), pages 1-23, May.

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    More about this item

    Keywords

    assets and livelihoods; decision making; disaster; flood; measurement; resilience; waste management;
    All these keywords.

    JEL classification:

    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
    • P25 - Political Economy and Comparative Economic Systems - - Socialist and Transition Economies - - - Urban, Rural, and Regional Economics
    • Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming
    • Q57 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Ecological Economics

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