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COVID-19 impact on the international trade

Author

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  • C'elestin Coquid'e
  • Jos'e Lages
  • Leonardo Ermann
  • Dima L. Shepelyansky

Abstract

Using the United Nations Comtrade database, we perform the Google matrix analysis of the multiproduct World Trade Network (WTN) for the years 2018-2020 comprising the emergence of the COVID-19 as a global pandemic. The applied algorithms -- the PageRank, the CheiRank and the reduced Google matrix -- take into account the multiplicity of the WTN links providing new insights on the international trade comparing to the usual import-export analysis. These algorithms establish new rankings and trade balances of countries and products considering every countries on equal grounds, independently of their wealth, and every products on the basis of their relative exchanged volumes. In comparison with the pre-COVID-19 period, significant changes in these metrics occur for the year 2020 highlighting a major rewiring of the international trade flows induced by the COVID-19 pandemic crisis. We define a new PageRank-CheiRank product trade balance, either export or import oriented, which is significantly perturbed by the pandemic.

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  • C'elestin Coquid'e & Jos'e Lages & Leonardo Ermann & Dima L. Shepelyansky, 2022. "COVID-19 impact on the international trade," Papers 2201.07737, arXiv.org.
    • Handle: RePEc:arx:papers:2201.07737
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    References listed on IDEAS

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    1. Mantegna,Rosario N. & Stanley,H. Eugene, 2007. "Introduction to Econophysics," Cambridge Books, Cambridge University Press, number 9780521039871, October.
    2. Roberto Antonietti & Paolo Falbo & Fulvio Fontini & Rosanna Grassi & Giorgio Rizzini, 2021. "International Trade Network: Country centrality and COVID-19 pandemic," Papers 2107.14554, arXiv.org.
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