IDEAS home Printed from https://ideas.repec.org/p/hal/journl/hal-03536528.html
   My bibliography  Save this paper

COVID-19 impact on the international trade

Author

Listed:
  • Célestin Coquidé

    (UTINAM - Univers, Théorie, Interfaces, Nanostructures, Atmosphère et environnement, Molécules (UMR 6213) - INSU - CNRS - Institut national des sciences de l'Univers - CNRS - Centre National de la Recherche Scientifique - UFC - Université de Franche-Comté - UBFC - Université Bourgogne Franche-Comté [COMUE])

  • José Lages

    (UTINAM - Univers, Théorie, Interfaces, Nanostructures, Atmosphère et environnement, Molécules (UMR 6213) - INSU - CNRS - Institut national des sciences de l'Univers - CNRS - Centre National de la Recherche Scientifique - UFC - Université de Franche-Comté - UBFC - Université Bourgogne Franche-Comté [COMUE])

  • Leonardo Ermann

    (CNEA - Comisión Nacional de Energía Atómica [ARGENTINA])

  • Dima Shepelyansky

    (ICQ - Cohérence Quantique (LPT) - LPT - Laboratoire de Physique Théorique - UT3 - Université Toulouse III - Paul Sabatier - UT - Université de Toulouse - CNRS - Centre National de la Recherche Scientifique - FeRMI - Fédération de recherche « Matière et interactions » - INSA Toulouse - Institut National des Sciences Appliquées - Toulouse - INSA - Institut National des Sciences Appliquées - UT - Université de Toulouse - UT3 - Université Toulouse III - Paul Sabatier - UT - Université de Toulouse - CNRS - Centre National de la Recherche Scientifique, LPT - Laboratoire de Physique Théorique - UT3 - Université Toulouse III - Paul Sabatier - UT - Université de Toulouse - CNRS - Centre National de la Recherche Scientifique - FeRMI - Fédération de recherche « Matière et interactions » - INSA Toulouse - Institut National des Sciences Appliquées - Toulouse - INSA - Institut National des Sciences Appliquées - UT - Université de Toulouse - UT3 - Université Toulouse III - Paul Sabatier - UT - Université de Toulouse - CNRS - Centre National de la Recherche Scientifique)

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.

Suggested Citation

  • Célestin Coquidé & José Lages & Leonardo Ermann & Dima Shepelyansky, 2022. "COVID-19 impact on the international trade," Post-Print hal-03536528, HAL.
  • Handle: RePEc:hal:journl:hal-03536528
    DOI: 10.3390/e24030327
    Note: View the original document on HAL open archive server: https://hal.science/hal-03536528
    as

    Download full text from publisher

    File URL: https://hal.science/hal-03536528/document
    Download Restriction: no

    File URL: https://libkey.io/10.3390/e24030327?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Kazunobu Hayakawa & Hiroshi Mukunoki & Shujiro Urata, 2023. "Can e-commerce mitigate the negative impact of COVID-19 on international trade?," The Japanese Economic Review, Springer, vol. 74(2), pages 215-232, April.
    2. Vivek Kandiah & Hubert Escaith & Dima L. Shepelyansky, 2015. "Google matrix of the world network of economic activities," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 88(7), pages 1-20, July.
    3. José Lages & Dima L Shepelyansky & Andrei Zinovyev, 2018. "Inferring hidden causal relations between pathway members using reduced Google matrix of directed biological networks," PLOS ONE, Public Library of Science, vol. 13(1), pages 1-28, January.
    4. Mantegna,Rosario N. & Stanley,H. Eugene, 2007. "Introduction to Econophysics," Cambridge Books, Cambridge University Press, number 9780521039871, September.
    5. Luca De Benedictis & Lucia Tajoli, 2011. "The World Trade Network," The World Economy, Wiley Blackwell, vol. 34(8), pages 1417-1454, August.
    6. Leonardo Ermann & Dima L. Shepelyansky, 2011. "Google matrix of the world trade network," Papers 1103.5027, arXiv.org.
    7. C'elestin Coquid'e & Leonardo Ermann & Jos'e Lages & D. L. Shepelyansky, 2019. "Influence of petroleum and gas trade on EU economies from the reduced Google matrix analysis of UN COMTRADE data," Papers 1903.01820, arXiv.org.
    8. Leonardo Ermann & Dima L. Shepelyansky, 2015. "Google matrix analysis of the multiproduct world trade network," Papers 1501.03371, arXiv.org.
    9. Célestin Coquidé & Leonardo Ermann & José Lages & Dima Shepelyansky, 2019. "Influence of petroleum and gas trade on EU economies from the reduced Google matrix analysis of UN COMTRADE data," Working Papers hal-02058766, HAL.
    10. Célestin Coquidé & Leonardo Ermann & José Lages & Dima L. Shepelyansky, 2019. "Influence of petroleum and gas trade on EU economies from the reduced Google matrix analysis of UN COMTRADE data," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 92(8), pages 1-14, August.
    11. Frahm, Klaus M. & Shepelyansky, Dima L., 2020. "Google matrix analysis of bi-functional SIGNOR network of protein–protein interactions," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 559(C).
    12. Tsuyoshi Deguchi & Katsuhide Takahashi & Hideki Takayasu & Misako Takayasu, 2014. "Hubs and Authorities in the World Trade Network Using a Weighted HITS Algorithm," PLOS ONE, Public Library of Science, vol. 9(7), pages 1-16, July.
    13. Marco Bardoscia & Giacomo Livan & Matteo Marsili, 2015. "Statistical mechanics of complex economies," Papers 1511.09203, arXiv.org, revised Apr 2017.
    14. Jasper Verschuur & Elco E. Koks & Jim W. Hall, 2021. "Observed impacts of the COVID-19 pandemic on global trade," Nature Human Behaviour, Nature, vol. 5(3), pages 305-307, March.
    15. Klaus M. Frahm & Katia Jaffrès-Runser & Dima L. Shepelyansky, 2016. "Wikipedia mining of hidden links between political leaders," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 89(12), pages 1-21, December.
    16. Hayakawa, Kazunobu & Mukunoki, Hiroshi, 2021. "The impact of COVID-19 on international trade: Evidence from the first shock," Journal of the Japanese and International Economies, Elsevier, vol. 60(C).
    17. 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.
    18. L. Ermann & A. D. Chepelianskii & D. L. Shepelyansky, 2011. "Fractal Weyl law for Linux Kernel architecture," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 79(1), pages 115-120, January.
    19. Célestin Coquidé & José Lages & Dima Shepelyansky, 2020. "Interdependence of sectors of economic activities for world countries from the reduced Google matrix analysis of WTO data," Post-Print hal-02132487, HAL.
    20. Leonardo Ermann & Dima Shepelyansky, 2015. "Google matrix analysis of the multiproduct world trade network," Post-Print hal-01104619, HAL.
    21. Mena, Carlos & Karatzas, Antonios & Hansen, Carsten, 2022. "International trade resilience and the Covid-19 pandemic," Journal of Business Research, Elsevier, vol. 138(C), pages 77-91.
    22. C. T. Vidya & K. P. Prabheesh, 2020. "Implications of COVID-19 Pandemic on the Global Trade Networks," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 56(10), pages 2408-2421, August.
    23. Leonardo Ermann & Dima Shepelyansky, 2015. "Google matrix analysis of the multiproduct world trade network," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 88(4), pages 1-19, April.
    24. A. O. Zhirov & O. V. Zhirov & D. L. Shepelyansky, 2010. "Two-dimensional ranking of Wikipedia articles," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 77(4), pages 523-531, October.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Célestin Coquidé & José Lages & Dima Shepelyansky, 2020. "Interdependence of sectors of economic activities for world countries from the reduced Google matrix analysis of WTO data," Post-Print hal-02132487, HAL.
    2. C'elestin Coquid'e & Jos'e Lages & Dima L. Shepelyansky, 2020. "Crisis contagion in the world trade network," Papers 2002.07100, arXiv.org.
    3. Célestin Coquidé & José Lages & Dima Shepelyansky, 2024. "Opinion Formation in the World Trade Network," Post-Print hal-04461784, HAL.
    4. Demidov, Denis & Frahm, Klaus M. & Shepelyansky, Dima L., 2020. "What is the central bank of Wikipedia?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 542(C).
    5. C'elestin Coquid'e & Jos'e Lages & Dima L. Shepelyansky, 2024. "Opinion formation in the world trade network," Papers 2401.02378, arXiv.org, revised Feb 2024.
    6. Vivek Kandiah & Hubert Escaith & Dima L. Shepelyansky, 2015. "Google matrix of the world network of economic activities," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 88(7), pages 1-20, July.
    7. V. Kandiah & H. Escaith & D. L. Shepelyansky, 2015. "Contagion effects in the world network of economic activities," Papers 1507.03278, arXiv.org.
    8. C'elestin Coquid'e & Leonardo Ermann & Jos'e Lages & D. L. Shepelyansky, 2019. "Influence of petroleum and gas trade on EU economies from the reduced Google matrix analysis of UN COMTRADE data," Papers 1903.01820, arXiv.org.
    9. Denis Demidov & Klaus M. Frahm & Dima L. Shepelyansky, 2019. "What is the central bank of Wikipedia?," Papers 1902.07920, arXiv.org.
    10. C'elestin Coquid'e & Jos'e Lages & Dima L. Shepelyansky, 2023. "Prospects of BRICS currency dominance in international trade," Papers 2305.00585, arXiv.org.
    11. Frahm, Klaus M. & Shepelyansky, Dima L., 2020. "Google matrix analysis of bi-functional SIGNOR network of protein–protein interactions," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 559(C).
    12. Leonardo Ermann & Dima L. Shepelyansky, 2015. "Google matrix analysis of the multiproduct world trade network," Papers 1501.03371, arXiv.org.
    13. Irena Jindrichovska & Erginbay Uğurlu, 2024. "Effect of COVID-19 on the mutual trade between Germany and the Visegrad Four," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-14, December.
    14. Qing Guan & Haizhong An & Xiaoqing Hao & Xiaoliang Jia, 2016. "The Impact of Countries’ Roles on the International Photovoltaic Trade Pattern: The Complex Networks Analysis," Sustainability, MDPI, vol. 8(4), pages 1-16, March.
    15. Célestin Coquidé & José Lages & Dima Shepelyansky, 2020. "Crisis contagion in the world trade network," Post-Print hal-02482438, HAL.
    16. Guillaume Rollin & José Lages & Dima L Shepelyansky, 2019. "Wikipedia network analysis of cancer interactions and world influence," PLOS ONE, Public Library of Science, vol. 14(9), pages 1-26, September.
    17. Yue Fu & Long Xue & Yixin Yan & Yao Pan & Xiaofang Wu & Ying Shao, 2021. "Energy Network Embodied in Trade along the Belt and Road: Spatiotemporal Evolution and Influencing Factors," Sustainability, MDPI, vol. 13(19), pages 1-29, September.
    18. Guglielmo Maria Caporale & Anamaria Diana Sova & Robert Sova, 2024. "The Covid‐19 pandemic and European trade flows: Evidence from a dynamic panel model," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 29(3), pages 2563-2580, July.
    19. Young-Ho Eom & Dima L Shepelyansky, 2013. "Highlighting Entanglement of Cultures via Ranking of Multilingual Wikipedia Articles," PLOS ONE, Public Library of Science, vol. 8(10), pages 1-10, October.
    20. Ando, Mitsuyo & Hayakawa, Kazunobu, 2022. "Impact of COVID-19 on trade in services," Japan and the World Economy, Elsevier, vol. 62(C).

    More about this item

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:hal:journl:hal-03536528. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: CCSD (email available below). General contact details of provider: https://hal.archives-ouvertes.fr/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.