World impact of kernel European Union 9 countries from Google matrix analysis of the world trade network

Loye, Justin; Ermann, Leonardo; Shepelyansky, Dima L.

info:eu-repo/semantics/article

Date

2021-05

Registration in:

Loye, Justin; Ermann, Leonardo; Shepelyansky, Dima L.; World impact of kernel European Union 9 countries from Google matrix analysis of the world trade network; Springer; Applied Network Science; 6; 1; 5-2021; 1-15

2364-8228

http://hdl.handle.net/11336/166713

CONICET Digital

CONICET

https://repositorioslatinoamericanos.uchile.cl/handle/2250/4380131

Author

Loye, Justin

Ermann, Leonardo

Shepelyansky, Dima L.

Institutions

Consejo Nacional de Investigaciones Científicas y Tecnológicas (Argentina)

Abstract

We use the United Nations COMTRADE database for analysis of the multiproduct world trade network. With this data, considered for years 2012–2018, we determined the world trade impact of the Kernel of EU 9 countries (KEU9), being Austria, Belgium, France, Germany, Italy, Luxembourg, Netherlands, Portugal, Spain, considered as one united country. We apply the advanced Google matrix analysis for investigation of the influence of KEU9 and show that KEU9 takes the top trade network rank positions thus becoming the main player of the world trade being ahead of USA and China. Our network analysis provides additional mathematical grounds in favor of the recent proposal (Saint-Etienne in: Osons l’Europe des Nations. Editions de l’Observatoire/Humensis, Paris, 2018) of KEU9 super-union which is based only on historical, political and economy basis.

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