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Estimating international trade status of countries from global liner shipping networks
Maritime shipping is a backbone of international trade and, thus, the world economy. Cargo-loaded vessels travel from one country's port to another via an underlying port-to-port transport network, contributing to international trade values of countries en route. We hypothesize that ports that...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Royal Society
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7657917/ https://www.ncbi.nlm.nih.gov/pubmed/33204446 http://dx.doi.org/10.1098/rsos.200386 |
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author | Xu, Mengqiao Pan, Qian Xia, Haoxiang Masuda, Naoki |
author_facet | Xu, Mengqiao Pan, Qian Xia, Haoxiang Masuda, Naoki |
author_sort | Xu, Mengqiao |
collection | PubMed |
description | Maritime shipping is a backbone of international trade and, thus, the world economy. Cargo-loaded vessels travel from one country's port to another via an underlying port-to-port transport network, contributing to international trade values of countries en route. We hypothesize that ports that involve trans-shipment activities serve as a third-party broker to mediate trade between two foreign countries and contribute to the corresponding country's status in international trade. We test this hypothesis using a port-level dataset of global liner shipping services. We propose two indices that quantify the importance of countries in the global liner shipping network and show that they explain a large amount of variation in individual countries' international trade values and related measures. These results support a long-standing view in maritime economics, which has yet to be directly tested, that countries that are strongly integrated into the global maritime transportation network have enhanced access to global markets and trade opportunities. |
format | Online Article Text |
id | pubmed-7657917 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | The Royal Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-76579172020-11-16 Estimating international trade status of countries from global liner shipping networks Xu, Mengqiao Pan, Qian Xia, Haoxiang Masuda, Naoki R Soc Open Sci Computer Science and Artificial Intelligence Maritime shipping is a backbone of international trade and, thus, the world economy. Cargo-loaded vessels travel from one country's port to another via an underlying port-to-port transport network, contributing to international trade values of countries en route. We hypothesize that ports that involve trans-shipment activities serve as a third-party broker to mediate trade between two foreign countries and contribute to the corresponding country's status in international trade. We test this hypothesis using a port-level dataset of global liner shipping services. We propose two indices that quantify the importance of countries in the global liner shipping network and show that they explain a large amount of variation in individual countries' international trade values and related measures. These results support a long-standing view in maritime economics, which has yet to be directly tested, that countries that are strongly integrated into the global maritime transportation network have enhanced access to global markets and trade opportunities. The Royal Society 2020-10-14 /pmc/articles/PMC7657917/ /pubmed/33204446 http://dx.doi.org/10.1098/rsos.200386 Text en © 2020 The Authors. http://creativecommons.org/licenses/by/4.0/ http://creativecommons.org/licenses/by/4.0/http://creativecommons.org/licenses/by/4.0/Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/, which permits unrestricted use, provided the original author and source are credited. |
spellingShingle | Computer Science and Artificial Intelligence Xu, Mengqiao Pan, Qian Xia, Haoxiang Masuda, Naoki Estimating international trade status of countries from global liner shipping networks |
title | Estimating international trade status of countries from global liner shipping networks |
title_full | Estimating international trade status of countries from global liner shipping networks |
title_fullStr | Estimating international trade status of countries from global liner shipping networks |
title_full_unstemmed | Estimating international trade status of countries from global liner shipping networks |
title_short | Estimating international trade status of countries from global liner shipping networks |
title_sort | estimating international trade status of countries from global liner shipping networks |
topic | Computer Science and Artificial Intelligence |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7657917/ https://www.ncbi.nlm.nih.gov/pubmed/33204446 http://dx.doi.org/10.1098/rsos.200386 |
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