Abstract:

The article analyzes the structure and dynamics of the digital economy of Russia. The aim of the study was to identify significant indicators of the digital economy of Russia that determine its qualitative structure and quantitative dynamics. The paper revealы the reasons prompting the conduct structural and dynamic analysis of the digital economy in Russia associated with the active displacement of the target vector of development of the leading countries of the world to the global digitalization, declining of rate of world trade and gaining global competition. Orientation on the digital economy gives the impulse to the significant reduction in transaction costs and improvement of the competitiveness of the Russian economy. Russia is represented in the form of a corporation in which one can distinguish both powerful organizations (activities) and the “core” of the digital economy. Structural and dynamic analysis of the digital economy of Russia includes a wide range of analysis methods implemented in the algorithm. The algorithm consists of coherent  steps : cluster analysis - identifying clusters volume; neural network analysis - determining the importance of indicators of volume clusters; nonparametric analysis - hypothesis testing; correlation analysis (Pearson's correlation coefficient) - finding the most interrelated growth dynamics of significant indicators of the digital economy of Russia ; separation of weighty indicators of the “core” from interrelated dynamics of growth rates; analysis of the dynamics of the “core” of the digital economy of Russia using the modified Cobb – Douglas formula . The results of the study are new theoretical and methodological and practical provisions for analyzing the structure and dynamics of the digital economy of Russia, which allow us to single out volume clusters and the importance of growth rates of development indicators of the Russian information society, the most significant indicators and the core of the digital economy that are most interconnected in terms of growth rates.