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Firm-Network Characteristics and Economic Robustness to Natural Disasters

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  • 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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    References listed on IDEAS

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    Cited by:

    1. Balint, T. & Lamperti, F. & Mandel, A. & Napoletano, M. & Roventini, A. & Sapio, A., 2017. "Complexity and the Economics of Climate Change: A Survey and a Look Forward," Ecological Economics, Elsevier, vol. 138(C), pages 252-265.
    2. Hallegatte, Stephane, 2012. "An exploration of the link between development, economic growth, and natural risk," Policy Research Working Paper Series 6216, The World Bank.
    3. Hallegatte,Stephane & Bangalore,Mook & Jouanjean,Marie Agnes, 2016. "Higher losses and slower development in the absence of disaster risk management investments," Policy Research Working Paper Series 7632, The World Bank.
    4. Strulik, Holger & Trimborn, Timo, 2016. "Natural disasters and macroeconomic performance," ECON WPS - Vienna University of Technology Working Papers in Economic Theory and Policy 07/2016, Vienna University of Technology, Institute for Mathematical Methods in Economics, Research Group Economics (ECON).
    5. repec:eee:dyncon:v:83:y:2017:i:c:p:232-269 is not listed on IDEAS
    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. 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.
    8. Tanaka, Ayumu, 2015. "The impacts of natural disasters on plants' growth: Evidence from the Great Hanshin-Awaji (Kobe) earthquake," Regional Science and Urban Economics, Elsevier, vol. 50(C), pages 31-41.
    9. Matthew A. COLE & Robert J R ELLIOTT & OKUBO Toshihiro & Eric STROBL, 2015. "The Effectiveness of Pre-Disaster Planning and Post-Disaster Aid: Examining the impact on plants of the Great East Japan Earthquake," Discussion papers 15097, Research Institute of Economy, Trade and Industry (RIETI).
    10. Tatsuaki Kuroda, 2015. "A Model of Stratified Production Process and Spatial Risk," Networks and Spatial Economics, Springer, vol. 15(2), pages 271-292, June.
    11. Ryuhei Wakasugi & Ayumu Tanaka, 2013. "Recovery from the Mega-quake in Japan: Evidence from Manufacturing Firms," KIER Working Papers 867, Kyoto University, Institute of Economic Research.
    12. Safarzyńska, Karolina & van den Bergh, Jeroen C.J.M., 2017. "Integrated crisis-energy policy: Macro-evolutionary modelling of technology, finance and energy interactions," Technological Forecasting and Social Change, Elsevier, vol. 114(C), pages 119-137.
    13. Charles D. Brummitt & Kenan Huremovic & Paolo Pin & Matthew H. Bonds & Fernando Vega-Redondo, 2017. "Contagious disruptions and complexity traps in economic development," Papers 1707.05914, arXiv.org.
    14. Hallegatte, Stephane, 2014. "Economic resilience: definition and measurement," Policy Research Working Paper Series 6852, The World Bank.
    15. Tomas Balint & Francesco Lamperti & Antoine Mandel & Mauro Napoletano & Andrea Roventini & Sandro Sapio, 2017. "Complexity and the economics of climate change : a survey and a look foreward," Sciences Po publications info:hdl:2441/1nlv566svi8, Sciences Po.
    16. Safarzyńska, Karolina & Brouwer, Roy & Hofkes, Marjan, 2013. "Evolutionary modelling of the macro-economic impacts of catastrophic flood events," Ecological Economics, Elsevier, vol. 88(C), pages 108-118.

    More about this item

    Keywords

    Natural disasters; Economic impacts; Economic Network.;

    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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