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

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,

Post-Brexit power of European Union from the world trade network analysis

“…It is interesting to note that the network influence of EU with 27 countries is somewhat similar to the one constituted by a kernel of 9 dominant EU countries (KEU9) (being Austria, Belgium, France, Germany, Italy, Luxembourg, Netherlands, Portugal, Spain) discussed in [7]. This shows the leading role played by these KEU9 countries in the world trade influence of EU.…”

“…These 10 products are: Food and live animals (0); Beverages and tobacco (1); Crude materials, inedible, except fuels (2); Mineral fuels etc (3); Animal and vegetable oils and fats (4); Chemicals and related products, n.e.s. (5); Basic manufactures (6); Machinery, transport equipment (7); Miscellaneous manufactured articles (8); Goods not classified elsewhere (9) (product index p is given in brackets). They belong to the Standard International Trade Classification (SITC Rev.…”

“…We consider 27 EU countries as a single trade player having the trade exchange between EU and other countries. Our approach uses the Google matrix tools and algorithms developed for the WTN [4,5,6,7] and other complex directed networks [8,9]. The efficiency of the Google matrix and PageRank algorithms is well known from the World Wide Web network analysis [10,11].…”