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Implications of COVID-19 Pandemic on the Global Trade Networks
Abstract
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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Cited by
The Influence of the Global Energy Crisis on Energy Efficiency: A Comprehensive Analysis
Gajdzik, B., Wolniak, R., Nagaj, R., Žuromskaitė-Nagaj, B., & Grebski, W. W. (2024) · Energies · doi:10.3390/en17040947 · Cited by 280
COVID-19 and the Oil Price – Stock Market Nexus: Evidence From Net Oil-Importing Countries
Prabheesh, K. P., Padhan, R., & Garg, B. (2020) · Energy RESEARCH LETTERS · doi:10.46557/001c.13745 · Cited by 245
Self-citationYoo, J.-W., Stephens, A. R., & Zhang, W. (2026) · Asia Pacific Business Review · doi:10.1080/13602381.2024.2425817 · Cited by 4
Metadata
- Authors
- Vidya, C. T., & Prabheesh, K. P.
- Venue
- Emerging Markets Finance and Trade
- Publisher
- Informa UK Limited
- Published
- 2020-07-25
- Volume
- 56
- Issue
- 10
- Pages
- 2408-2421
- ISSN
- 1061-2009 (ISSN-L)
- 1540-496X
- 1558-0938
- OpenAlex
- W3045293448
- Cited by
- 436
- References
- 0
- FWCI
- 73.16
- Type
- journal article
- Language
- en
- Open access
- closed
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