E3S Web Conf.
Volume 311, 2021International Conference “Ecological Paradigms of Sustainable Development: Political, Economic and Technological Dimension of Biosphere Problems” (EPSD 2021)
|Number of page(s)||10|
|Section||Ecological Technologies of Smart Cities: Moving to Sustainable Development|
|Published online||19 October 2021|
Cluster analysis of variability of key parameters of the economic environment in the framework of diffusion of blockchain technologies
1 Kazan Federal University, Kazan, Russia
2 Center of Advanced Economic Research in the Academy of Sciences of the Republic of Tatarstan, Kazan, Russia
3 Kazan National Research Technological University, Kazan, Russia
* Corresponding author: Aliya.Abdukaeva@tatar.ru
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.
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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