Spatio-Temporal Heterogeneity in the International Trade Resilience During Covid-19: A Complex Network Approach

Luo, W., He, L., Yang, Z., Zhang, S., Wang, Y., Liu, D., Hu, S., He, L., Xia, J., & Chen, M. (2023). Spatio-temporal heterogeneity in the international trade resilience during COVID-19. Applied Geography, 154, 102923. https://doi.org/10.1016/j.apgeog.2023.102923

24 Pages Posted: 7 Mar 2023 Last revised: 4 May 2023

See all articles by Wei Luo

Wei Luo

GeospatialX Lab, Department of Geography, National University of Singapore (NUS)

Lingfeng He

Institute for Empirical Social Science Research, Xi'an Jiaotong University

Zihui Yang

National University of Singapore (NUS) - Department of Geography

Shirui Zhang

Independent

Yong Wang

Singapore Management University

Dianbo Liu

Massachusetts Institute of Technology (MIT) - MIT Computer Science and Artificial Intelligence Laboratory

Sheng Hu

National University of Singapore (NUS) - Department of Geography

Li He

Xi'an Jiaotong University (XJTU)

Jiezhe Xia

Shenzhen University

min chen

Nanjing Normal University

Date Written: June 14, 2022

Abstract

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.

Keywords: COVID-19, International Trade Network, Resilience, Vulnerability

Suggested Citation

Luo, Wei and He, Lingfeng and Yang, Zihui and Zhang, Shirui and Wang, Yong and Liu, Dianbo and Hu, Sheng and He, Li and Xia, Jizhe and chen, min, Spatio-Temporal Heterogeneity in the International Trade Resilience During Covid-19: A Complex Network Approach (June 14, 2022). Luo, W., He, L., Yang, Z., Zhang, S., Wang, Y., Liu, D., Hu, S., He, L., Xia, J., & Chen, M. (2023). Spatio-temporal heterogeneity in the international trade resilience during COVID-19. Applied Geography, 154, 102923. https://doi.org/10.1016/j.apgeog.2023.102923, Available at SSRN: https://ssrn.com/abstract=4376755 or http://dx.doi.org/10.2139/ssrn.4376755

Wei Luo (Contact Author)

GeospatialX Lab, Department of Geography, National University of Singapore (NUS) ( email )

HOME PAGE: http://https://blog.nus.edu.sg/geospatialx/

Lingfeng He

Institute for Empirical Social Science Research, Xi'an Jiaotong University ( email )

Xi'an, 710049
China

Zihui Yang

National University of Singapore (NUS) - Department of Geography

Shirui Zhang

Independent

Yong Wang

Singapore Management University

Dianbo Liu

Massachusetts Institute of Technology (MIT) - MIT Computer Science and Artificial Intelligence Laboratory ( email )

32 Vassar Street
Cambridge, MA 02139
United States

Sheng Hu

National University of Singapore (NUS) - Department of Geography

Li He

Xi'an Jiaotong University (XJTU)

Jizhe Xia

Shenzhen University

Min Chen

Nanjing Normal University ( email )

Ninghai Road 122, Gulou District
Nanjing, 210046
China

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