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

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  • Hallegatte, Stephane

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.

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  • Hallegatte, Stephane, 2012. "Modeling the roles of heterogeneity, substitution, and inventories in the assessment of natural disaster economic costs," Policy Research Working Paper Series 6047, The World Bank.
  • Handle: RePEc:wbk:wbrwps:6047
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    2. Lorenzo Carrera & Gabriele Standardi & Francesco Bosello & Jaroslav Mysiak, 2014. "Assessing Direct and Indirect Economic Impacts of a Flood Event Through the Integration of Spatial and Computable General Equilibrium Modelling," Working Papers 2014.82, Fondazione Eni Enrico Mattei.
    3. 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.
    4. KASHIWAGI Yuzuka & TODO Yasuyuki, 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).
    5. 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.
    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. Anton Pichler & Marco Pangallo & R. Maria del Rio-Chanona & Franc{c}ois Lafond & J. Doyne Farmer, 2020. "Production networks and epidemic spreading: How to restart the UK economy?," Papers 2005.10585, arXiv.org.

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