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Modeling the roles of heterogeneity, substitution, and inventories in the assessment of natural disaster economic costs

Author

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  • Stéphane Hallegatte

    (CIRED - centre international de recherche sur l'environnement et le développement - Cirad - Centre de Coopération Internationale en Recherche Agronomique pour le Développement - EHESS - École des hautes études en sciences sociales - AgroParisTech - ENPC - École nationale des ponts et chaussées - CNRS - Centre National de la Recherche Scientifique, CNRM - Centre national de recherches météorologiques - INSU - CNRS - Institut national des sciences de l'Univers - CNRS - Centre National de la Recherche Scientifique - Comue de Toulouse - Communauté d'universités et établissements de Toulouse - Météo-France)

Abstract

Based on an IO structure, the ARIO-inventory model simulates the economic consequences and responses to a natural disaster. It represents explicitly production bottlenecks, models a flexibility in production capacity in case of scarcity, and introduces inventories as an additional flexibility in the production system. Moreover, it takes into account the heterogeneity in goods and services within sectors, and the consequences on production bottlenecks and substitution possibilities. The model is applied to the landfall of hurricane Katrina in Louisiana. Sensitivity analyses show that results are extremely sensitive to several uncertain model parameters. In particular, accounting for heterogeneity within sectors has a large negative influence on production bottlenecks, and thus increases total economic losses from natural disasters and other supply-side shocks. This paper shows that current models disregard important mechanisms and proposes an approach to take them into account.

Suggested Citation

  • Stéphane Hallegatte, 2012. "Modeling the roles of heterogeneity, substitution, and inventories in the assessment of natural disaster economic costs," Post-Print hal-00802050, HAL.
  • Handle: RePEc:hal:journl:hal-00802050
    DOI: 10.1596/1813-9450-6047
    Note: View the original document on HAL open archive server: https://enpc.hal.science/hal-00802050v1
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    Cited by:

    1. Yuzuka Kashiwagi & Yasuyuki Todo, 2021. "Propagation Of Positive Effects Of Post‐Disaster Policies Through Supply Chains," Contemporary Economic Policy, Western Economic Association International, vol. 39(2), pages 348-364, April.
    2. Jhorland Ayala-Garcia & Sandy Dall?Erba & William C. Ridley, 2021. "Externalities of extreme natural disasters on local tax capacity," Documentos de Trabajo Sobre Economía Regional y Urbana 19386, Banco de la República, Economía Regional.
    3. Yuzuka KASHIWAGI & Yasuyuki TODO, 2019. "Propagation of Positive Effects of Post-disaster Policies through Supply Chains: Evidence from the Great East Japan Earthquake," Discussion papers 19030, Research Institute of Economy, Trade and Industry (RIETI).
    4. Tijs W. Alleman & Koen Schoors & Jan M. Baetens, 2023. "Validating a dynamic input-output model for the propagation of supply and demand shocks during the COVID-19 pandemic in Belgium," Papers 2305.16377, arXiv.org, revised Jan 2024.
    5. Di Noia, Jlenia & Caiani, Alessandro & Cesarini, Luigi & Arosio, Marcello & Monteleone, Beatrice, 2025. "A high resolution input–output model to assess the economic impact of floods," Journal of Economic Behavior & Organization, Elsevier, vol. 230(C).
    6. Yasuyuki Todo & Kentaro Nakajima & Petr Matous, 2015. "How Do Supply Chain Networks Affect The Resilience Of Firms To Natural Disasters? Evidence From The Great East Japan Earthquake," Journal of Regional Science, Wiley Blackwell, vol. 55(2), pages 209-229, March.
    7. Carrera, Lorenzo & Standardi, Gabriele & Bosello, Francesco & Mysiak, Jaroslav, "undated". "Assessing Direct and Indirect Economic Impacts of a Flood Event Through the Integration of Spatial and Computable General Equilibrium Modelling," Climate Change and Sustainable Development 186681, Fondazione Eni Enrico Mattei (FEEM).
    8. Pichler, Anton & Pangallo, Marco & del Rio-Chanona, R. Maria & Lafond, François & Farmer, J. Doyne, 2020. "Production networks and epidemic spreading: How to restart the UK economy?," INET Oxford Working Papers 2020-12, Institute for New Economic Thinking at the Oxford Martin School, University of Oxford.

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