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2012
- handle: 10670/1.h106u2
- hal: hal-00716554
- doi: 10.1016/j.jedc.2011.10.001
- PRODINRA: 317120
- WOS: 000298571200009
Ce document est lié à :
info:eu-repo/semantics/altIdentifier/doi/10.1016/j.jedc.2011.10.001
Ce document est lié à :
info:eu-repo/grantAgreement/EC/FP7/233783/EU/Weather Extremes: Assessment of impacts on Transport Systems and Hazards for European Regions/WEATHER
Mots-clés
Natural disasters Economic impacts Economic network C - Mathematical and Quantitative Methods/C.C6 - Mathematical Methods • Programming Models • Mathematical and Simulation Modeling/C.C6.C63 - Computational Techniques • Simulation Modeling D - Microeconomics/D.D8 - Information, Knowledge, and Uncertainty/D.D8.D85 - Network Formation and Analysis: Theory L - Industrial Organization/L.L1 - Market Structure, Firm Strategy, and Market Performance/L.L1.L14 - Transactional Relationships • Contracts and Reputation • Networks Q - Agricultural and Natural Resource Economics • Environmental and Ecological Economics/Q.Q5 - Environmental Economics/Q.Q5.Q54 - Climate • Natural Disasters and Their Management • Global WarmingSujets proches
Natural calamitiesCiter ce document
Fanny Henriet et al., « Firm-network characteristics and economic robustness to natural disasters », HAL-SHS : économie et finance, ID : 10.1016/j.jedc.2011.10.001
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Résumé
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 sector-scale 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. (C) 2011 Published by Elsevier B.V.