Applicability of a spatial computable general equilibrium model to assess the short-term economic impact of natural disasters
Yoshio Kajitani and
Hirokazu Tatano
Economic Systems Research, 2018, vol. 30, issue 3, 289-312
Abstract:
Computable general equilibrium (CGE) models have been widely used to assess the economic impact of natural disasters, but the models have not been fully validated by applying them to real disasters. This study focuses on validating a model for use in a short-run case in which the functional recovery of infrastructure and businesses occurred on a time scale of a few months. A special attempt is made to determine the parameter values of elasticity of substitutions, which play an important role in the effect on supply chains. In this study, a spatial CGE model, in which Japan is divided into nine regions, is constructed and applied to the case of the 2011 Great East Japan Earthquake and Tsunami. Through this application, the best estimates of the elasticity parameters generated relatively consistent estimates of production change compared with the observed change, both in severely affected regions and in other regions.
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (8)
Downloads: (external link)
http://hdl.handle.net/10.1080/09535314.2017.1369010 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:taf:ecsysr:v:30:y:2018:i:3:p:289-312
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/CESR20
DOI: 10.1080/09535314.2017.1369010
Access Statistics for this article
Economic Systems Research is currently edited by Bart Los and Manfred Lenzen
More articles in Economic Systems Research from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().