Journal
EMERGING MARKETS FINANCE AND TRADE
Volume 56, Issue 10, Pages 2408-2421Publisher
ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD
DOI: 10.1080/1540496X.2020.1785426
Keywords
COVID-19; pandemic; trade; network analysis; artificial neural networks
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This article measures the trade interconnectedness among countries before and after the COVID-19 outbreak, and forecasts the future direction of trade. Using Trade Network Analysis and Artificial Neural Networks, our findings show that: (1) There is a drastic reduction in trade interconnectedness, connectivity, and density among countries after the COVID-19 outbreak. (2) There is a visible change in the structure of trade-network (3) China's 'center' position in the trade network is not affected by the pandemic. (4) There will be a drastic decline in trade of most of the economies until December 2020.
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