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The issue raised in the article is the study of the dependence of export and import of agricultural machinery on its production in Russia. The Russian agricultural machinery market is influenced by three groups of factors: 1) own production of agricultural machinery; 2) export of agricultural machinery of Russian production; 3) import of agricultural machinery of foreign production. Traditionally, such problems are solved using multivariate analysis. However, in this case, the use of this method is problematic for a number of reasons: the source data is dimensional and measured in different units, the number of observations is less than the number of factors, the factors depend on each other, and the number of factors is too large. These restrictions are proposed to be overcome by applying automated system-cognitive analysis and its software tools of the intellectual system "Eidos". For this purpose the following tasks were solved: 1) formulation of the idea and the concept of problem solving; 2) justification of the choice of the method and tool for solving the problem; 3) application of the selected method and tool to solve the problem; 4) evaluation of the effectiveness of the proposed solution of the problem; 5) consideration of the restrictions and disadvantages of the proposed solution of the problem and the prospects for its development by overcoming these restrictions and disadvantages. Some results of solving these problems are briefly summarized in this article.

Our article analyses the prospects of coal industry development in the 21st century. It is apparent that the share of coal in the world’s total energy mix is shrinking as it is replaced by natural gas, renewables, and other forms of energy production. In the same time, countries like China, Russia, but also Poland are dependent on coal as the major fuel for generating their electricity. Quite remarkably, China is using more coal to generate electricity for powering its growing fleet of electric vehicles and transport. This cycle needs to be broken in order to ensure the full transition to the renewable energy future and reducing the burden on the climate and global warming. We argue that the shift away from coal to the renewable energy is driven mainly by the growth of green energy policies and supporting actions induced by the political forces. However, it might still remain the major source of power generation in less-developed and developing economies.

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