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.
In the context of active reform of the economy of Ukraine, the issue of identification and economic and legal support for the protection of critical infrastructure in the national economy is relevant and needs further study. The existing approaches to the definition of the terms «critical infrastructure» and «critical infrastructure objects» in the scientific works of foreign and domestic scientists and in the regulatory documents of Ukraine and other countries are summarized. Gaps in the laws and bylaws of Ukraine on the identification and protection of critical infrastructure have been identified. The classification of critical infrastructure objects according to certain classification features is offered. The dynamics of emergencies on the territory of Ukraine for the period 2015—2019 and their consequences for the functioning of critical infrastructure are analyzed. There is a tendency to increase the number of emergencies due to natural phenomena and increase the damage caused by these emergencies. It was found that the greatest damage in the last 10 years was caused in 2020 by a medical and biological emergency, namely the pandemic caused by the coronavirus COVID-19. The author’s vision of conceptual provisions on critical infrastructure protection is offered. The main directions of improvement of the state policy on protection of critical infrastructure are substantiated, among which the most priority ones are singled out: complex improvement of the normative-legal base on the issues of ensuring the safety of critical infrastructure; creation of a system of state management of critical infrastructure safety; development of criteria for identification of critical infrastructure objects and compilation of inventory of these objects; establishing a partnership between the government and infrastructure operators on the principles of cooperation, trust and shared responsibility; development of public-private partnership in the field of security of critical infrastructure and prevention of emergencies; development of international cooperation in the field of critical infrastructure protection.