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Disaster Impact And Input--Output Analysis

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  • Yasuhide Okuyama
  • Joost R. Santos

Abstract

Macroeconomics models, such as the input--output model, the social accounting matrix, and the computable general equilibrium model, have been used for impact analysis of catastrophic disasters for some time. While the use of such models to disaster situation, which may quite differ from the ordinary economic setting, has been critiqued (for recent example, see Albala-Bertrand, 2013), there are still valuable reasons for the use of such models. In particular, such models can be used in order to quickly provide a ballpark estimate of the system-wide impact for recovery plan and finance and/or to evaluate disaster countermeasures in the pre-event period. This paper presents how these methodologies have evolved to incorporate with disaster-specific feature and discusses how far they still need to go from the current stage. This paper also serves as a preface to this special issue, which encompasses several papers devoted to the use of macroeconomic data and models to assess economic losses from disasters.

Suggested Citation

  • Yasuhide Okuyama & Joost R. Santos, 2014. "Disaster Impact And Input--Output Analysis," Economic Systems Research, Taylor & Francis Journals, vol. 26(1), pages 1-12, March.
  • Handle: RePEc:taf:ecsysr:v:26:y:2014:i:1:p:1-12
    DOI: 10.1080/09535314.2013.871505
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    References listed on IDEAS

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    1. Jose-Miguel Albala-Bertrand, 2014. "Disasters and the Networked Economy. A Book Summary," Working Papers 718, Queen Mary University of London, School of Economics and Finance.
    2. Albala-Bertrand, J. M., 1993. "Political Economy of Large Natural Disasters: With Special Reference to Developing Countries," OUP Catalogue, Oxford University Press, number 9780198287650.
    3. -, 2003. "Handbook for estimating the socio-economic and environmental effects of disasters," Libros y Documentos Institucionales, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL), number 2782 edited by Eclac, September.
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