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

**Authors:** C\'elestin Coquid\'e, Jos\'e Lages, Dima L. Shepelyansky

arXiv: 1905.06489 · 2020-12-15

## TL;DR

This paper uses a reduced Google matrix algorithm to analyze global economic sector interdependencies, revealing detailed interactions among countries and sectors, including sensitivities to petroleum, surpassing traditional export-import methods.

## Contribution

It introduces a novel application of the reduced Google matrix to capture complex interdependencies in the world economic network, considering all country-sector influences.

## Key findings

- Identifies key interdependencies among countries and sectors.
- Reveals sensitivities of sectors to petroleum activity.
- Provides richer interaction data than traditional methods.

## 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.

## Full text

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## Figures

11 figures with captions in the complete paper: https://tomesphere.com/paper/1905.06489/full.md

## References

37 references — full list in the complete paper: https://tomesphere.com/paper/1905.06489/full.md

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Source: https://tomesphere.com/paper/1905.06489