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Supply Constraint from Earthquakes in Japan in Input–Output Analysis

Disasters often cause exogenous flow damage (i.e., the [hypothetical] difference in economic scale with and without a disaster in a certain period) to production (“supply constraint”). However, input‐output (IO) analysis (IOA) cannot usually consider it, because the Leontief quantity model (LQM) ass...

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Autores principales: Yagi, Michiyuki, Kagawa, Shigemi, Managi, Shunsuke, Fujii, Hidemichi, Guan, Dabo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7818455/
https://www.ncbi.nlm.nih.gov/pubmed/32506698
http://dx.doi.org/10.1111/risa.13525
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author Yagi, Michiyuki
Kagawa, Shigemi
Managi, Shunsuke
Fujii, Hidemichi
Guan, Dabo
author_facet Yagi, Michiyuki
Kagawa, Shigemi
Managi, Shunsuke
Fujii, Hidemichi
Guan, Dabo
author_sort Yagi, Michiyuki
collection PubMed
description Disasters often cause exogenous flow damage (i.e., the [hypothetical] difference in economic scale with and without a disaster in a certain period) to production (“supply constraint”). However, input‐output (IO) analysis (IOA) cannot usually consider it, because the Leontief quantity model (LQM) assumes that production is endogenous; the Ghosh quantity model (GQM) is considered implausible; and the Leontief price model (LPM) and the Ghosh price model (GPM) assume that quantity is fixed. This study proposes to consider a supply constraint in the LPM, introducing the price elasticity of demand. This study uses the loss of social surplus (SS) as a damage estimation because production (sales) is less informative as a damage index than profit (margin); that is, production can be any amount if without considering profit, and it does not tell exactly how much profit is lost for each supplier (upstream sector) and buyer (downstream sector). As a model application, this study examines Japan's largest five earthquakes from 1995 to 2017 and the Great East Japan Earthquake (GEJE) in March 2011. The worst earthquake at the peak tends to increase price by 10–20% and decrease SS by 20–30%, when compared with the initial month's prices/production. The worst damage tends to last eight months at most, accumulating 0.5‐month‐production damage (i.e., the sum of [hypothetical] differences in SS with and without an earthquake [for eight months] is 50% of the initial month production). Meanwhile, the GEJE in the five prefectures had cumulatively, a 25‐month‐production damage until the temporal recovery at the 37th month.
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spelling pubmed-78184552021-01-29 Supply Constraint from Earthquakes in Japan in Input–Output Analysis Yagi, Michiyuki Kagawa, Shigemi Managi, Shunsuke Fujii, Hidemichi Guan, Dabo Risk Anal Original Research Articles Disasters often cause exogenous flow damage (i.e., the [hypothetical] difference in economic scale with and without a disaster in a certain period) to production (“supply constraint”). However, input‐output (IO) analysis (IOA) cannot usually consider it, because the Leontief quantity model (LQM) assumes that production is endogenous; the Ghosh quantity model (GQM) is considered implausible; and the Leontief price model (LPM) and the Ghosh price model (GPM) assume that quantity is fixed. This study proposes to consider a supply constraint in the LPM, introducing the price elasticity of demand. This study uses the loss of social surplus (SS) as a damage estimation because production (sales) is less informative as a damage index than profit (margin); that is, production can be any amount if without considering profit, and it does not tell exactly how much profit is lost for each supplier (upstream sector) and buyer (downstream sector). As a model application, this study examines Japan's largest five earthquakes from 1995 to 2017 and the Great East Japan Earthquake (GEJE) in March 2011. The worst earthquake at the peak tends to increase price by 10–20% and decrease SS by 20–30%, when compared with the initial month's prices/production. The worst damage tends to last eight months at most, accumulating 0.5‐month‐production damage (i.e., the sum of [hypothetical] differences in SS with and without an earthquake [for eight months] is 50% of the initial month production). Meanwhile, the GEJE in the five prefectures had cumulatively, a 25‐month‐production damage until the temporal recovery at the 37th month. John Wiley and Sons Inc. 2020-06-07 2020-09 /pmc/articles/PMC7818455/ /pubmed/32506698 http://dx.doi.org/10.1111/risa.13525 Text en © 2020 The Authors. Risk Analysis published by Wiley Periodicals LLC on behalf of Society for Risk Analysis This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Research Articles
Yagi, Michiyuki
Kagawa, Shigemi
Managi, Shunsuke
Fujii, Hidemichi
Guan, Dabo
Supply Constraint from Earthquakes in Japan in Input–Output Analysis
title Supply Constraint from Earthquakes in Japan in Input–Output Analysis
title_full Supply Constraint from Earthquakes in Japan in Input–Output Analysis
title_fullStr Supply Constraint from Earthquakes in Japan in Input–Output Analysis
title_full_unstemmed Supply Constraint from Earthquakes in Japan in Input–Output Analysis
title_short Supply Constraint from Earthquakes in Japan in Input–Output Analysis
title_sort supply constraint from earthquakes in japan in input–output analysis
topic Original Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7818455/
https://www.ncbi.nlm.nih.gov/pubmed/32506698
http://dx.doi.org/10.1111/risa.13525
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