Implications of COVID-19 Pandemic on the Global Trade Networks

被引:267
|
作者
Vidya, C. T. [1 ]
Prabheesh, K. P. [2 ]
机构
[1] Ctr Econ & Social Studies CESS, Hyderabad, Telangana, India
[2] Indian Inst Technol Hyderabad, Hyderabad, Telangana, India
关键词
COVID-19; pandemic; trade; network analysis; artificial neural networks; TIME;
D O I
10.1080/1540496X.2020.1785426
中图分类号
F [经济];
学科分类号
02 ;
摘要
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.
引用
收藏
页码:2408 / 2421
页数:14
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