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

Justin Loye (1, 2) , Leonardo Ermann (3) , Dima Shepelyansky (1, 2)

1 ICQ - Cohérence Quantique (LPT)
2 LPT - Laboratoire de Physique Théorique
3 CNEA - Comisión Nacional de Energía Atómica [ARGENTINA]

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 of KEU9 super-union which is based only on historical, political and economy basis.

Domaines: Réseaux sociaux et d'information [cs.SI]; Physique et Société [physics.soc-ph]

Justin Loye, Leonardo Ermann, Dima Shepelyansky. World impact of kernel European Union 9 countries from Google matrix analysis of the world trade network. Applied Network Science, 2021, 6, pp.37. ⟨10.1007/s41109-021-00380-9⟩. ⟨hal-02975900⟩