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Transport equipment network analysis: the value-added contribution

Emerging in the twenty-first century, Network Science provides practical measures to interpret a system’s interactions between the components and their links. Literature has focused on countries’ interconnections on the final goods, but its application on the value-added from a network perspective i...

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Autor principal: Hernández García, Luis Gerardo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9734606/
https://www.ncbi.nlm.nih.gov/pubmed/36530193
http://dx.doi.org/10.1186/s40008-022-00289-1
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author Hernández García, Luis Gerardo
author_facet Hernández García, Luis Gerardo
author_sort Hernández García, Luis Gerardo
collection PubMed
description Emerging in the twenty-first century, Network Science provides practical measures to interpret a system’s interactions between the components and their links. Literature has focused on countries’ interconnections on the final goods, but its application on the value-added from a network perspective in trade is still imitated. This paper applies network science properties and a multi-regional input–output analysis by using the UNCTAD-Eora Global Value Chain Database on the Transport Equipment value added on 2017 to unwrap the specific structural characteristics of the industry. Results show that the industry is highly centralized. The center of the network is dominated by developed countries, mainly from Europe, the United States, and Japan. Emerging countries such as China, Mexico, Thailand, and Poland also have an important position. In addition, the structure reveals two sub-hubs located in East Europe and North America. By extending to community detection, the network consists of three different communities led by Germany, the United States, and the United Kingdom, associated with more significant value-added flows. The study concludes that flows are not always consistent with the economy’s geographical location as usually final goods analysis suggests, and highlight the need to continue using the complex network to reveal the world trade structure.
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spelling pubmed-97346062022-12-12 Transport equipment network analysis: the value-added contribution Hernández García, Luis Gerardo J Econ Struct Research Emerging in the twenty-first century, Network Science provides practical measures to interpret a system’s interactions between the components and their links. Literature has focused on countries’ interconnections on the final goods, but its application on the value-added from a network perspective in trade is still imitated. This paper applies network science properties and a multi-regional input–output analysis by using the UNCTAD-Eora Global Value Chain Database on the Transport Equipment value added on 2017 to unwrap the specific structural characteristics of the industry. Results show that the industry is highly centralized. The center of the network is dominated by developed countries, mainly from Europe, the United States, and Japan. Emerging countries such as China, Mexico, Thailand, and Poland also have an important position. In addition, the structure reveals two sub-hubs located in East Europe and North America. By extending to community detection, the network consists of three different communities led by Germany, the United States, and the United Kingdom, associated with more significant value-added flows. The study concludes that flows are not always consistent with the economy’s geographical location as usually final goods analysis suggests, and highlight the need to continue using the complex network to reveal the world trade structure. Springer Berlin Heidelberg 2022-12-06 2022 /pmc/articles/PMC9734606/ /pubmed/36530193 http://dx.doi.org/10.1186/s40008-022-00289-1 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 Research
Hernández García, Luis Gerardo
Transport equipment network analysis: the value-added contribution
title Transport equipment network analysis: the value-added contribution
title_full Transport equipment network analysis: the value-added contribution
title_fullStr Transport equipment network analysis: the value-added contribution
title_full_unstemmed Transport equipment network analysis: the value-added contribution
title_short Transport equipment network analysis: the value-added contribution
title_sort transport equipment network analysis: the value-added contribution
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9734606/
https://www.ncbi.nlm.nih.gov/pubmed/36530193
http://dx.doi.org/10.1186/s40008-022-00289-1
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