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Economic Assessment of Mitigating Damage of Flood Events: Cost-Benefit Analysis of Flood-Proofing Commercial Buildings in Umbria, Italy

  • W. J.Wouter Botzen*
  • , Érika Monteiro
  • , Francisco Estrada
  • , Giulia Pesaro
  • , Scira Menoni
  • *Corresponding author for this work
    • Vrije Universiteit Amsterdam
    • Universidad Nacional Autónoma de México
    • Polytechnic University of Milan

    Research output: Contribution to journal › Article › Academic › peer-review

    Abstract

    Floods are among the costliest natural disasters worldwide. Integrated flood risk management approaches involving both public and private measures have been proposed to cope with trends in flood risk. These approaches are hampered by a lack of information about the cost-effectiveness of private flood damage mitigation measures. This study examines the economic desirability of flood-proofing different types of commercial buildings in Umbria, which is a flood-prone region in Europe. A cost-benefit analysis (CBA) is applied, which uses empirical information on flood damages to a variety of commercial activities. The CBA accounts for a diversity of uncertainties, including those of flood damage statistics and related flood-proofing benefits derived from bootstrap methods. Results show that, on average, dry flood-proofing is economically attractive for certain categories of commercial buildings. The flood probability and uncertainty of damage are key factors driving CBA results. Implications of our findings for policymakers and insurers are discussed.

    Original languageEnglish
    Pages (from-to)585-608
    Number of pages24
    JournalGeneva Papers on Risk and Insurance: Issues and Practice
    Volume42
    Issue number4
    DOIs
    Publication statusPublished - 1 Oct 2017

    UN SDGs

    This output contributes to the following UN Sustainable Development Goals (SDGs)

    1. SDG 13 - Climate Action
      SDG 13 Climate Action

    Keywords

    • climate risk
    • cost-benefit analysis
    • flood risk
    • risk prevention
    • uncertainty

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