Spatio-Temporal Heterogeneity in the International Trade Resilience During Covid-19 : A Complex Network Approach
The COVID-19 pandemic and subsequent lockdowns have created immeasurable health and economic crises, leading to unprecedented disruptions to world trade and supply chains. The COVID-19 pandemic shows diverse impacts on different economies and markets that suffer and recover at different rates and degrees. This research aims to evaluate the spatio-temporal heterogeneity of strengths and vulnerabilities of international trade networks 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 scale, regional scale, and country scale for the pre- and post- COVID-19 outbreak period from 2018 to 2021. 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 (e.g., European Union), whereas low-income countries (e.g., Africa) show high vulnerability. The overall findings elicit the hidden global trading disruption, recovery, and growth due to the adverse impact of the COVID-19 pandemic
Year of publication: |
2023
|
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Authors: | Luo, Wei ; He, Lingfeng ; Yang, Zihui ; Zhang, Shirui ; Wang, Yong ; Liu, Dianbo ; Hu, Sheng ; He, Li ; Xia, Jiezhe ; chen, min |
Publisher: |
[S.l.] : SSRN |
Saved in:
freely available
Extent: | 1 Online-Ressource (24 p) |
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Type of publication: | Book / Working Paper |
Language: | English |
Notes: | Nach Informationen von SSRN wurde die ursprüngliche Fassung des Dokuments June 14, 2022 erstellt |
Other identifiers: | 10.2139/ssrn.4376755 [DOI] |
Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10014260005
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