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All countries in the world are involved into international trade so it is crucially to understand economical patterns of interrelations between countries. This research is aimed to estimate current condition of international agricultural trade between Russia and EU countries for the period of 2000-2017. Import and export trade flows were estimated with the gravity model for specific groups of products. Impact of such variables as gross domestic product (GDP), the distance between countries, common border, language and history on trade flow value was also estimated. Impact of Russian import ban was also studied in the article. Obtained results of 48 regressions were subdivided into 3 groups for import and 4 groups for export by means of the cluster analysis. The classical gravity model works for meat, fruits and cereals, and this fact can be proved by existence of dependency between distance and GDP of trade partners. However, influencing factors for other groups of products are common language and border. The import ban variable influences each group of the agricultural products exported from Europe to Russia and partly extends its influence on the imported products. Hence, impact of import ban is much stronger than it was declared earlier.

Trade Flow Estimation Between Russia and European Union Countries per Agricultural Commodity Group