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ZENODO
Dataset . 2023
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2023
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2023
License: CC BY
Data sources: ZENODO
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Shifting Dynamics in International Trade Networks: A Longitudinal Analysis of Major Exporting Economies (1992-2020): A case of the US, China, India, Japan and South Korea

Authors: Nobuo YAZAWA;

Shifting Dynamics in International Trade Networks: A Longitudinal Analysis of Major Exporting Economies (1992-2020): A case of the US, China, India, Japan and South Korea

Abstract

This article aims to analyze the changes in trading networks by bringing out aspects of centrality and reciprocity among participating countries. The research considers the trade relations of five export countries, namely, The U.S., China, India, Japan, and South Korea from 1992 to 2020. We examine whether trade networks are truly becoming more bidirectional over the long term and how the political and economic crises that have occurred in the past 30 years affect the structure of trade networks. The article presents key findings on the changes in the network structure of international trade over the past 30 years. The network structure has become more reciprocal for most product categories, and the center of the trade network has shifted from the United States to China. The analysis also demonstrated that the center of the network has shifted from U to C for all product categories, except for raw materials. The study also highlights the significant impact of global events and crises on the international trade network structure, emphasizing the importance of considering geopolitical events and economic shocks in understanding trade dynamics.

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Keywords

network analysis, international trade, reciprocity

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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