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Quantifying firm-level economic systemic risk from nation-wide supply networks
Crises like COVID-19 exposed the fragility of highly interdependent corporate supply networks and the complex production processes depending on them. However, a quantitative assessment of individual companies’ impact on the networks’ overall production is hitherto non-existent. Based on a unique val...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9092945/ https://www.ncbi.nlm.nih.gov/pubmed/35546595 http://dx.doi.org/10.1038/s41598-022-11522-z |
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author | Diem, Christian Borsos, András Reisch, Tobias Kertész, János Thurner, Stefan |
author_facet | Diem, Christian Borsos, András Reisch, Tobias Kertész, János Thurner, Stefan |
author_sort | Diem, Christian |
collection | PubMed |
description | Crises like COVID-19 exposed the fragility of highly interdependent corporate supply networks and the complex production processes depending on them. However, a quantitative assessment of individual companies’ impact on the networks’ overall production is hitherto non-existent. Based on a unique value added tax dataset, we construct the firm-level production network of an entire country at an unprecedented granularity and present a novel approach for computing the economic systemic risk (ESR) of all firms within the network. We demonstrate that 0.035% of companies have extraordinarily high ESR, impacting about 23% of the national economic production should any of them default. Firm size cannot explain the ESR of individual companies; their position in the production networks matters substantially. A reliable assessment of ESR seems impossible with aggregated data traditionally used in Input-Output Economics. Our findings indicate that ESR of some extremely risky companies can be reduced by introducing supply chain redundancies and changes in the network topology. |
format | Online Article Text |
id | pubmed-9092945 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-90929452022-05-12 Quantifying firm-level economic systemic risk from nation-wide supply networks Diem, Christian Borsos, András Reisch, Tobias Kertész, János Thurner, Stefan Sci Rep Article Crises like COVID-19 exposed the fragility of highly interdependent corporate supply networks and the complex production processes depending on them. However, a quantitative assessment of individual companies’ impact on the networks’ overall production is hitherto non-existent. Based on a unique value added tax dataset, we construct the firm-level production network of an entire country at an unprecedented granularity and present a novel approach for computing the economic systemic risk (ESR) of all firms within the network. We demonstrate that 0.035% of companies have extraordinarily high ESR, impacting about 23% of the national economic production should any of them default. Firm size cannot explain the ESR of individual companies; their position in the production networks matters substantially. A reliable assessment of ESR seems impossible with aggregated data traditionally used in Input-Output Economics. Our findings indicate that ESR of some extremely risky companies can be reduced by introducing supply chain redundancies and changes in the network topology. Nature Publishing Group UK 2022-05-11 /pmc/articles/PMC9092945/ /pubmed/35546595 http://dx.doi.org/10.1038/s41598-022-11522-z Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Diem, Christian Borsos, András Reisch, Tobias Kertész, János Thurner, Stefan Quantifying firm-level economic systemic risk from nation-wide supply networks |
title | Quantifying firm-level economic systemic risk from nation-wide supply networks |
title_full | Quantifying firm-level economic systemic risk from nation-wide supply networks |
title_fullStr | Quantifying firm-level economic systemic risk from nation-wide supply networks |
title_full_unstemmed | Quantifying firm-level economic systemic risk from nation-wide supply networks |
title_short | Quantifying firm-level economic systemic risk from nation-wide supply networks |
title_sort | quantifying firm-level economic systemic risk from nation-wide supply networks |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9092945/ https://www.ncbi.nlm.nih.gov/pubmed/35546595 http://dx.doi.org/10.1038/s41598-022-11522-z |
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