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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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2020
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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. |
format | Online Article Text |
id | pubmed-7818455 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
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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