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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...

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Autores principales: Xu, Mengqiao, Pan, Qian, Xia, Haoxiang, Masuda, Naoki
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Royal Society 2020
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.
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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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