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Interdependence of sectors of economic activities for world countries from the reduced Google matrix analysis of WTO data

Célestin Coquidé (), José Lages and Dima Shepelyansky ()
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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]
Dima Shepelyansky: ICQ - Cohérence Quantique (LPT) - LPT - Laboratoire de Physique Théorique - IRSAMC - Institut de Recherche sur les Systèmes Atomiques et Moléculaires Complexes - UT3 - Université Toulouse III - Paul Sabatier - UT - Université de Toulouse - CNRS - Centre National de la Recherche Scientifique, LPT - Laboratoire de Physique Théorique - IRSAMC - Institut de Recherche sur les Systèmes Atomiques et Moléculaires Complexes - UT3 - Université Toulouse III - Paul Sabatier - UT - Université de Toulouse - CNRS - Centre National de la Recherche Scientifique

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Abstract: We apply the recently developed reduced Google matrix algorithm for the analysis of the OECD-WTO world network of economic activities. This approach allows to determine interdependences and interactions of economy sectors of several countries, including China, Russia and USA, properly taking into account the influence of all other world countries and their economic activities. Within this analysis we also obtain the sensitivity of economy sectors and EU countries to petroleum activity sector. We show that this approach takes into account multiplicity of network links with economy interactions between countries and activity sectors thus providing more rich information compared to the usual export-import analysis.

Keywords: World Trade Organization; networks; Google matrix; Markovian process; PageRank (search for similar items in EconPapers)
Date: 2020-12-13
New Economics Papers: this item is included in nep-cis, nep-int and nep-net
Note: View the original document on HAL open archive server: https://hal.science/hal-02132487v1
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Citations: View citations in EconPapers (1)

Published in Entropy, 2020, 22, ⟨10.3390/e22121407⟩

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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-02132487

DOI: 10.3390/e22121407

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