Abstract
Prospects for the development of the national economy in the context of integration of blockchain technologies into the system of economic processes indicate the need to develop methods and algorithms for a formalized assessment of their impact on the key parameters of socio-economic dynamics. Meanwhile, if in the scientific and expert space, although it is extremely rare, but still one can find works devoted to certain aspects of this scientific and methodological problem, then, unfortunately, it should be stated that the study of the impact of the technologies under study on certain sectors of the economy does not occur in information-analytical and scientific spaces at all. Unfortunately, the methods of empirical study of the influence of blockchain technologies on the parameters of economic development at the current time not only have not found their consolidated solution, but are completely characterized by fragmentation and patchiness. This study is an attempt to strengthen the positions of formalized approaches to the study of the scientific and practical problem. The paper proposes an algorithm for studying the dynamics of the gross value added of the sectors of the Russian economy through the prism of a possible transformation of the key parameters of the functioning of the financial and real sectors of the economy as a result of the diffusion of blockchain technologies. Relying on the hypotheses put forward, cointegration models were built for the studied types of economic activity, which make it possible to identify the contribution of exogenous factors, corrected under the pressure of penetration of distributed data storage technologies into the economic environment, on the degree of added value growth. This, in turn, made it possible to carry out a cluster analysis of the studied sectors of the economy in terms of their level of sensitivity to institutional transformations caused by the integration of blockchain technologies into the economic environment.
Highlights
It should be noted that in the conditions of the gaining momentum of the fourth industrial revolution, it is increasingly possible to observe the active integration into the system of economic relations of new, progressive forms of organization of models of socio-economic development
With regret, we have to state that, despite the progressive interest on the part of the expert and scientific community in distributed data storage technologies and the problems of studying their impact on the development of the national economy and its individual sectors, there is both disunity of views on the solution of the question posed, and lack of unified approaches to a formalized assessment of possible generated opportunities and risks
In this regard, taking into account the very high interest in the problems posed, there is a need to develop methodological solutions that provide the process of substantiating the influence of distributed data storage technologies on the possible growth dynamics of individual sectors of the national economy
Summary
It should be noted that in the conditions of the gaining momentum of the fourth industrial revolution, it is increasingly possible to observe the active integration into the system of economic relations of new, progressive forms of organization of models of socio-economic development. In the overwhelming majority of cases, the positions of authors, both Russian and foreign, are inclined to believe that studies of this kind of issues are extremely relevant, significant from a practical and scientific point of view, and require the development of an appropriate methodological apparatus [1,2,3,4,5,6,7,8] In this regard, taking into account the very high interest in the problems posed, there is a need to develop methodological solutions that provide the process of substantiating the influence of distributed data storage technologies on the possible growth dynamics of individual sectors of the national economy. The solution to this problem will allow to move from qualitative assessments to formalized ones based on the use of special methods of economic and mathematical modeling, and to form a foundation for the creation and development of the theory of blockchain economics
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