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Firm-Network Characteristics and Economic Robustness to Natural Disasters

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Listed:
  • Henriet, F.
  • Hallegatte, S.
  • Tabourier, L.

Abstract

This article proposes a theoretical framework to investigate economic robustness to exogenous shocks such as natural disasters. It is based on a dynamic model that represents a regional economy as a network of production units through the disaggregation of sectorscale Input-Output tables. Results suggest that disaster-related output losses depend on direct losses heterogeneity and on the economic network structure. Two aggregate indexes, concentration and clustering, appear as important drivers of economic robustness, offering opportunities for robustness-enhancing strategies. Modern industrial organization seems to reduce short-term robustness in a trade-off against higher efficiency in normal times.

Suggested Citation

  • Henriet, F. & Hallegatte, S. & Tabourier, L., 2011. "Firm-Network Characteristics and Economic Robustness to Natural Disasters," Working papers 355, Banque de France.
  • Handle: RePEc:bfr:banfra:355
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    1. E Romanoff & S H Levine, 1993. "Information, Interindustry Dynamics, and the Service Industries," Environment and Planning A, , vol. 25(3), pages 305-316, March.
    2. Sungbin Cho & Peter Gordon & James E. Moore II & Harry W. Richardson & Masanobu Shinozuka & Stephanie Chang, 2001. "Integrating Transportation Network and Regional Economic Models to Estimate the Costs of a Large Urban Earthquake," Journal of Regional Science, Wiley Blackwell, vol. 41(1), pages 39-65, February.
    3. Hallegatte, Stephane & Hourcade, Jean-Charles & Dumas, Patrice, 2007. "Why economic dynamics matter in assessing climate change damages: Illustration on extreme events," Ecological Economics, Elsevier, vol. 62(2), pages 330-340, April.
    4. B. Coluzzi & M. Ghil & S. Hallegatte & G. Weisbuch, 2010. "Boolean delay equations on networks: An application to economic damage propagation," Papers 1003.0793, arXiv.org.
    5. Giesecke, Kay & Weber, Stefan, 2006. "Credit contagion and aggregate losses," Journal of Economic Dynamics and Control, Elsevier, vol. 30(5), pages 741-767, May.
    6. Y. Fujiwara & H. Aoyama, 2010. "Large-scale structure of a nation-wide production network," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 77(4), pages 565-580, October.
    7. Adam Rose & Shu‐Yi Liao, 2005. "Modeling Regional Economic Resilience to Disasters: A Computable General Equilibrium Analysis of Water Service Disruptions," Journal of Regional Science, Wiley Blackwell, vol. 45(1), pages 75-112, February.
    8. Gatti, Domenico Delli & Guilmi, Corrado Di & Gaffeo, Edoardo & Giulioni, Gianfranco & Gallegati, Mauro & Palestrini, Antonio, 2005. "A new approach to business fluctuations: heterogeneous interacting agents, scaling laws and financial fragility," Journal of Economic Behavior & Organization, Elsevier, vol. 56(4), pages 489-512, April.
    9. Albala-Bertrand, J. M., 1993. "Political Economy of Large Natural Disasters: With Special Reference to Developing Countries," OUP Catalogue, Oxford University Press, number 9780198287650.
    10. Nier, Erlend & Yang, Jing & Yorulmazer, Tanju & Alentorn, Amadeo, 2007. "Network models and financial stability," Journal of Economic Dynamics and Control, Elsevier, vol. 31(6), pages 2033-2060, June.
    11. Martínez-Jaramillo, Serafín & Pérez, Omar Pérez & Embriz, Fernando Avila & Dey, Fabrizio López Gallo, 2010. "Systemic risk, financial contagion and financial fragility," Journal of Economic Dynamics and Control, Elsevier, vol. 34(11), pages 2358-2374, November.
    12. V. Zlatic & G. Bianconi & A. Díaz-Guilera & D. Garlaschelli & F. Rao & G. Caldarelli, 2009. "On the rich-club effect in dense and weighted networks," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 67(3), pages 271-275, February.
    13. Christopher W. Anderson & Joost R. Santos & Yacov Y. Haimes, 2007. "A Risk-based Input-Output Methodology for Measuring the Effects of the August 2003 Northeast Blackout," Economic Systems Research, Taylor & Francis Journals, vol. 19(2), pages 183-204.
    14. Stefan Weber & Kay Giesecke, 2003. "Credit Contagion and Aggregate Losses," Computing in Economics and Finance 2003 246, Society for Computational Economics.
    15. Battiston, Stefano & Delli Gatti, Domenico & Gallegati, Mauro & Greenwald, Bruce & Stiglitz, Joseph E., 2007. "Credit chains and bankruptcy propagation in production networks," Journal of Economic Dynamics and Control, Elsevier, vol. 31(6), pages 2061-2084, June.
    16. Weisbuch, Gérard & Battiston, Stefano, 2007. "From production networks to geographical economics," Journal of Economic Behavior & Organization, Elsevier, vol. 64(3-4), pages 448-469.
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    More about this item

    Keywords

    Natural disasters; Economic impacts; Economic Network.;
    All these keywords.

    JEL classification:

    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
    • D85 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Network Formation
    • L14 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Transactional Relationships; Contracts and Reputation
    • Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming

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