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

Célestin Coquidé (1) , José Lages (1) , Dima Shepelyansky (2, 3)

1 UTINAM - Univers, Transport, Interfaces, Nanostructures, Atmosphère et environnement, Molécules (UMR 6213)
2 ICQ - Cohérence Quantique (LPT)
3 LPT - Laboratoire de Physique Théorique

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.

Mots clés: World Trade Organization; networks; Google matrix; Markovian process; PageRank

Domaines: Microstructure des marchés [q-fin.TR]; Physique [physics]; Physique et Société [physics.soc-ph]

Célestin Coquidé, José Lages, Dima Shepelyansky. Interdependence of sectors of economic activities for world countries from the reduced Google matrix analysis of WTO data. Entropy, 2020, 22, ⟨10.3390/e22121407⟩. ⟨hal-02132487⟩