Post-Brexit Power of European Union From the World Trade Network Analysis

Loye, Justin; Shepelyansky, Dima L.

doi:10.52825/bis.v1i.48

Cited by 2 publications

(2 citation statements)

References 11 publications

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“…Let us note that the above-depicted algorithms have been used in [42,43] to analyze the multiproduct WTN for years before 2019, and hence, the effects of COVID-19 on the WTN have not been captured there.…”

Section: Datasets and Google Matrix Algorithmsmentioning

confidence: 99%

COVID-19’s Impact on International Trade

Coquidé

Lages

Ermann

et al. 2022

Entropy

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We analyze how the COVID-19 pandemic affected the trade of products between countries. With this aim, using the United Nations Comtrade database, we perform a 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—PageRank, CheiRank and the reduced Google matrix—take into account the multiplicity of the WTN links, providing new insights into international trade compared to the usual import–export analysis. These complex networks analysis algorithms establish new rankings and trade balances of countries and products considering all countries on equal grounds, independent of their wealth, and every product on the basis of its relative exchanged volumes. In comparison with the pre-COVID-19 period, significant changes in these metrics occurred 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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Section: Datasets and Google Matrix Algorithmsmentioning

confidence: 99%

COVID-19’s Impact on International Trade

Coquidé

Lages

Ermann

et al. 2022

Entropy

Self Cite

View full text Add to dashboard Cite

show abstract

“…Let us note that the above depicted algorithms have been used in [36,37] to analyze the multiproduct WTN for years before 2019, and hence, the COVID-19 effects on the WTN have not been captured there.…”

Section: Data Sets and Google Matrix Algorithmsmentioning

confidence: 99%

COVID-19 impact on the international trade

Coquidé,

Lages,

Ermann

et al. 2022

Preprint

Self Cite

View full text Add to dashboard Cite

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.

show abstract

Post-Brexit Power of European Union From the World Trade Network Analysis

Cited by 2 publications

References 11 publications

COVID-19’s Impact on International Trade

COVID-19’s Impact on International Trade

COVID-19 impact on the international trade

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