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Economic Shock Transmission through Global Value Chains: An Assessment using Network Analysis
This paper examines the role of some key economies in the economic contagion across global value chains using input-output analysis and complex network statistics. The empirical research focuses on China, France, Germany, Italy, Japan, Korea, the United Kingdom, and the United States. A range of nov...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10187516/ http://dx.doi.org/10.1007/s11294-023-09871-0 |
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author | Angelidis, Georgios Varsakelis, Nikos C. |
author_facet | Angelidis, Georgios Varsakelis, Nikos C. |
author_sort | Angelidis, Georgios |
collection | PubMed |
description | This paper examines the role of some key economies in the economic contagion across global value chains using input-output analysis and complex network statistics. The empirical research focuses on China, France, Germany, Italy, Japan, Korea, the United Kingdom, and the United States. A range of novel measures were used to measure the nature and extent of global value chain relationships. The empirical results reveal that, because of the high interdependence and interconnectedness in the global value chain networks, the transmission of an economic shock in China and the United States will be fast, wide, and in-depth in the global value chain networks. Sample countries are more exposed to an economic shock in China than a shock in the other four big economic partners, namely the United States, Germany, Japan, and Korea. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s11294-023-09871-0. |
format | Online Article Text |
id | pubmed-10187516 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Springer US |
record_format | MEDLINE/PubMed |
spelling | pubmed-101875162023-05-17 Economic Shock Transmission through Global Value Chains: An Assessment using Network Analysis Angelidis, Georgios Varsakelis, Nikos C. Int Adv Econ Res Article This paper examines the role of some key economies in the economic contagion across global value chains using input-output analysis and complex network statistics. The empirical research focuses on China, France, Germany, Italy, Japan, Korea, the United Kingdom, and the United States. A range of novel measures were used to measure the nature and extent of global value chain relationships. The empirical results reveal that, because of the high interdependence and interconnectedness in the global value chain networks, the transmission of an economic shock in China and the United States will be fast, wide, and in-depth in the global value chain networks. Sample countries are more exposed to an economic shock in China than a shock in the other four big economic partners, namely the United States, Germany, Japan, and Korea. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s11294-023-09871-0. Springer US 2023-05-16 /pmc/articles/PMC10187516/ http://dx.doi.org/10.1007/s11294-023-09871-0 Text en © International Atlantic Economic Society 2023, Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Article Angelidis, Georgios Varsakelis, Nikos C. Economic Shock Transmission through Global Value Chains: An Assessment using Network Analysis |
title | Economic Shock Transmission through Global Value Chains: An Assessment using Network Analysis |
title_full | Economic Shock Transmission through Global Value Chains: An Assessment using Network Analysis |
title_fullStr | Economic Shock Transmission through Global Value Chains: An Assessment using Network Analysis |
title_full_unstemmed | Economic Shock Transmission through Global Value Chains: An Assessment using Network Analysis |
title_short | Economic Shock Transmission through Global Value Chains: An Assessment using Network Analysis |
title_sort | economic shock transmission through global value chains: an assessment using network analysis |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10187516/ http://dx.doi.org/10.1007/s11294-023-09871-0 |
work_keys_str_mv | AT angelidisgeorgios economicshocktransmissionthroughglobalvaluechainsanassessmentusingnetworkanalysis AT varsakelisnikosc economicshocktransmissionthroughglobalvaluechainsanassessmentusingnetworkanalysis |