EconPapers    
Economics at your fingertips  
 

A Theory of Disasters and Long-run Growth

Ken-Ichi Akao and Hiroaki Sakamoto

Discussion papers from Research Institute of Economy, Trade and Industry (RIETI)

Abstract: We examine the long-term consequences to economic growth of disasters using a discrete-time endogenous growth model. We consider two types of hypothetical disasters: historical disasters, which follow a Bernoulli process, and periodic disasters, which are taken as a regular event by assuming that one period is a sufficient time period. We show that the effects of historical disasters on the steady state growth rate depend on the intertemporal elasticity of substitution for consumption. Specifically, when it is less than one, more destructive disasters or more frequent occurrence of historical disasters foster investment in human capital, which results in a higher economic growth rate. This conditionally supports the empirical finding: disasters may positively affect long-run economic growth. We also show the effects of historical and periodic disasters on resource allocation and industrial composition at the steady state and on the convergence speed.

Pages: 40 pages
Date: 2013-07
New Economics Papers: this item is included in nep-dev, nep-dge, nep-fdg and nep-pbe
References: View references in EconPapers View complete reference list from CitEc
Citations: Track citations by RSS feed

Downloads: (external link)
https://www.rieti.go.jp/jp/publications/dp/13e061.pdf (application/pdf)

Related works:
Journal Article: A theory of disasters and long-run growth (2018) Downloads
Working Paper: A theory of disasters and long-run growth Downloads
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:eti:dpaper:13061

Access Statistics for this paper

More papers in Discussion papers from Research Institute of Economy, Trade and Industry (RIETI) Contact information at EDIRC.
Bibliographic data for series maintained by TANIMOTO, Toko ().

 
Page updated 2020-10-18
Handle: RePEc:eti:dpaper:13061