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A model of the indirect losses from negative shocks in production and finance

Economies are frequently affected by natural disasters and both domestic and overseas financial crises. These events disrupt production and cause multiple other types of economic losses, including negative impacts on the banking system. Understanding the transmission mechanism that causes various ne...

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Autores principales: Krichene, Hazem, Inoue, Hiroyasu, Isogai, Takashi, Chakraborty, Abhijit
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7511019/
https://www.ncbi.nlm.nih.gov/pubmed/32966335
http://dx.doi.org/10.1371/journal.pone.0239293
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author Krichene, Hazem
Inoue, Hiroyasu
Isogai, Takashi
Chakraborty, Abhijit
author_facet Krichene, Hazem
Inoue, Hiroyasu
Isogai, Takashi
Chakraborty, Abhijit
author_sort Krichene, Hazem
collection PubMed
description Economies are frequently affected by natural disasters and both domestic and overseas financial crises. These events disrupt production and cause multiple other types of economic losses, including negative impacts on the banking system. Understanding the transmission mechanism that causes various negative second-order post-catastrophe effects is crucial if policymakers are to develop more efficient recovery strategies. In this work, we introduce a credit-based adaptive regional input-output (ARIO) model to analyse the effects of disasters and crises on the supply chain and bank-firm credit networks. Using real Japanese networks and the exogenous shocks of the 2008 Lehman Brothers bankruptcy and the Great East Japan Earthquake (March 11, 2011), this paper aims to depict how these negative shocks propagate through the supply chain and affect the banking system. The credit-based ARIO model is calibrated using Latin hypercube sampling and the design of experiments procedure to reproduce the short-term (one-year) dynamics of the Japanese industrial production index after the 2008 Lehman Brothers bankruptcy and the 2011 Great East Japan earthquake. Then, through simulation experiments, we identify the chemical and petroleum manufacturing and transport sectors as the most vulnerable Japanese industrial sectors. Finally, the case of the 2011 Great East Japan Earthquake is simulated for Japanese prefectures to understand differences among regions in terms of globally engendered indirect economic losses. Tokyo and Osaka prefectures are the most vulnerable locations because they hold greater concentrations of the above-mentioned vulnerable industrial sectors.
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spelling pubmed-75110192020-10-01 A model of the indirect losses from negative shocks in production and finance Krichene, Hazem Inoue, Hiroyasu Isogai, Takashi Chakraborty, Abhijit PLoS One Research Article Economies are frequently affected by natural disasters and both domestic and overseas financial crises. These events disrupt production and cause multiple other types of economic losses, including negative impacts on the banking system. Understanding the transmission mechanism that causes various negative second-order post-catastrophe effects is crucial if policymakers are to develop more efficient recovery strategies. In this work, we introduce a credit-based adaptive regional input-output (ARIO) model to analyse the effects of disasters and crises on the supply chain and bank-firm credit networks. Using real Japanese networks and the exogenous shocks of the 2008 Lehman Brothers bankruptcy and the Great East Japan Earthquake (March 11, 2011), this paper aims to depict how these negative shocks propagate through the supply chain and affect the banking system. The credit-based ARIO model is calibrated using Latin hypercube sampling and the design of experiments procedure to reproduce the short-term (one-year) dynamics of the Japanese industrial production index after the 2008 Lehman Brothers bankruptcy and the 2011 Great East Japan earthquake. Then, through simulation experiments, we identify the chemical and petroleum manufacturing and transport sectors as the most vulnerable Japanese industrial sectors. Finally, the case of the 2011 Great East Japan Earthquake is simulated for Japanese prefectures to understand differences among regions in terms of globally engendered indirect economic losses. Tokyo and Osaka prefectures are the most vulnerable locations because they hold greater concentrations of the above-mentioned vulnerable industrial sectors. Public Library of Science 2020-09-23 /pmc/articles/PMC7511019/ /pubmed/32966335 http://dx.doi.org/10.1371/journal.pone.0239293 Text en © 2020 Krichene et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Krichene, Hazem
Inoue, Hiroyasu
Isogai, Takashi
Chakraborty, Abhijit
A model of the indirect losses from negative shocks in production and finance
title A model of the indirect losses from negative shocks in production and finance
title_full A model of the indirect losses from negative shocks in production and finance
title_fullStr A model of the indirect losses from negative shocks in production and finance
title_full_unstemmed A model of the indirect losses from negative shocks in production and finance
title_short A model of the indirect losses from negative shocks in production and finance
title_sort model of the indirect losses from negative shocks in production and finance
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7511019/
https://www.ncbi.nlm.nih.gov/pubmed/32966335
http://dx.doi.org/10.1371/journal.pone.0239293
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