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Research on the Influencing Factors of Russian Foreign Trade Based on R Language Regression Analysis

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  • Shuna Zhou
  • Chengwen Kang

Abstract

Based on the systematic analysis of the development of Russian foreign trade and the characteristics of the regional distribution structure of trade, this work further studies the influencing factors of Russia’s foreign trade by using the R language regression analysis method and constructs three econometric models from import, export, and total import and export. The real effective exchange rate and various instruments and equipment and accessories are the main factors affecting Russia’s import trade, energy, minerals, timber, and related products are the main factors affecting its export trade, and Russia’s GDP and international oil prices are the major factors affecting the total import and export volume. A correct understanding of the factors affecting Russia’s foreign trade will help to understand Russia’s economic and trade development and its changing trend and provide a reliable reference value for the further expansion and optimization of economic and trade cooperation between other economies and Russia.

Suggested Citation

  • Shuna Zhou & Chengwen Kang, 2021. "Research on the Influencing Factors of Russian Foreign Trade Based on R Language Regression Analysis," Mathematical Problems in Engineering, Hindawi, vol. 2021, pages 1-11, December.
  • Handle: RePEc:hin:jnlmpe:5638831
    DOI: 10.1155/2021/5638831
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