Spatio-temporal heterogeneity in the international trade resilience during COVID-19

The COVID-19 pandemic and subsequent lockdowns have created immeasurable health and economic crises, leading to unprecedented disruptions to world trade. The COVID-19 pandemic shows diverse impacts on different economies that suffer and recover at different rates and degrees. This research aims to e...

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Main Authors: LUO, Wei, HE, Lingfeng, YANG, Zihui, ZHANG, Shirui, WANG, Yong, LIU, Dianbo, HU, Sheng, HE, Li, XIA, Jizhe, CHEN, Min
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Language:English
Published: Institutional Knowledge at Singapore Management University 2023
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Online Access:https://ink.library.smu.edu.sg/sis_research/8603
https://ink.library.smu.edu.sg/context/sis_research/article/9606/viewcontent/1_s2.0_S0143622823000541_main.pdf
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spelling sg-smu-ink.sis_research-96062024-01-25T08:29:44Z Spatio-temporal heterogeneity in the international trade resilience during COVID-19 LUO, Wei HE, Lingfeng YANG, Zihui ZHANG, Shirui WANG, Yong LIU, Dianbo HU, Sheng HE, Li XIA, Jizhe CHEN, Min The COVID-19 pandemic and subsequent lockdowns have created immeasurable health and economic crises, leading to unprecedented disruptions to world trade. The COVID-19 pandemic shows diverse impacts on different economies that suffer and recover at different rates and degrees. This research aims to evaluate the spatio-temporal heterogeneity of international trade network vulnerabilities in the current crisis to understand the global production resilience and prepare for the future crisis. We applied a series of complex network analysis approaches to the monthly international trade networks at the world, regional, and country scales for the pre- and post- COVID-19 outbreak period. The spatio-temporal patterns indicate that countries and regions with an effective COVID-19 containment such as East Asia show the strongest resilience, especially Mainland China, followed by high-income countries with fast vaccine roll-out (e.g., U.S.), whereas low-income countries (e.g., Africa) show high vulnerability. Our results encourage a comprehensive strategy to enhance international trade resilience when facing future pandemic threats including effective non-pharmaceutical measures, timely development and rollout of vaccines, strong governance capacity, robust healthcare systems, and equality via international cooperation. The overall findings elicit the hidden global trading disruption, recovery, and growth due to the adverse impact of the COVID-19 pandemic. 2023-03-01T08:00:00Z text application/pdf https://ink.library.smu.edu.sg/sis_research/8603 info:doi/10.1016/j.apgeog.2023.102923 https://ink.library.smu.edu.sg/context/sis_research/article/9606/viewcontent/1_s2.0_S0143622823000541_main.pdf http://creativecommons.org/licenses/by-nc-nd/4.0/ Research Collection School Of Computing and Information Systems eng Institutional Knowledge at Singapore Management University COVID-19 International trade network Resilience Vulnerability Databases and Information Systems Health Information Technology
institution Singapore Management University
building SMU Libraries
continent Asia
country Singapore
Singapore
content_provider SMU Libraries
collection InK@SMU
language English
topic COVID-19
International trade network
Resilience
Vulnerability
Databases and Information Systems
Health Information Technology
spellingShingle COVID-19
International trade network
Resilience
Vulnerability
Databases and Information Systems
Health Information Technology
LUO, Wei
HE, Lingfeng
YANG, Zihui
ZHANG, Shirui
WANG, Yong
LIU, Dianbo
HU, Sheng
HE, Li
XIA, Jizhe
CHEN, Min
Spatio-temporal heterogeneity in the international trade resilience during COVID-19
description The COVID-19 pandemic and subsequent lockdowns have created immeasurable health and economic crises, leading to unprecedented disruptions to world trade. The COVID-19 pandemic shows diverse impacts on different economies that suffer and recover at different rates and degrees. This research aims to evaluate the spatio-temporal heterogeneity of international trade network vulnerabilities in the current crisis to understand the global production resilience and prepare for the future crisis. We applied a series of complex network analysis approaches to the monthly international trade networks at the world, regional, and country scales for the pre- and post- COVID-19 outbreak period. The spatio-temporal patterns indicate that countries and regions with an effective COVID-19 containment such as East Asia show the strongest resilience, especially Mainland China, followed by high-income countries with fast vaccine roll-out (e.g., U.S.), whereas low-income countries (e.g., Africa) show high vulnerability. Our results encourage a comprehensive strategy to enhance international trade resilience when facing future pandemic threats including effective non-pharmaceutical measures, timely development and rollout of vaccines, strong governance capacity, robust healthcare systems, and equality via international cooperation. The overall findings elicit the hidden global trading disruption, recovery, and growth due to the adverse impact of the COVID-19 pandemic.
format text
author LUO, Wei
HE, Lingfeng
YANG, Zihui
ZHANG, Shirui
WANG, Yong
LIU, Dianbo
HU, Sheng
HE, Li
XIA, Jizhe
CHEN, Min
author_facet LUO, Wei
HE, Lingfeng
YANG, Zihui
ZHANG, Shirui
WANG, Yong
LIU, Dianbo
HU, Sheng
HE, Li
XIA, Jizhe
CHEN, Min
author_sort LUO, Wei
title Spatio-temporal heterogeneity in the international trade resilience during COVID-19
title_short Spatio-temporal heterogeneity in the international trade resilience during COVID-19
title_full Spatio-temporal heterogeneity in the international trade resilience during COVID-19
title_fullStr Spatio-temporal heterogeneity in the international trade resilience during COVID-19
title_full_unstemmed Spatio-temporal heterogeneity in the international trade resilience during COVID-19
title_sort spatio-temporal heterogeneity in the international trade resilience during covid-19
publisher Institutional Knowledge at Singapore Management University
publishDate 2023
url https://ink.library.smu.edu.sg/sis_research/8603
https://ink.library.smu.edu.sg/context/sis_research/article/9606/viewcontent/1_s2.0_S0143622823000541_main.pdf
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