Information and Analytical System for Monitoring the Development of Digital Technologies and Assessing Their Impact on the Dynamics of Structural Shifts in the Russian Economy

Abstract

The purpose of the study is to form methodological aspects and develop an information and analytical system designed to analyze trends in the development of digital technologies, as well as to monitor the assessment of structural shifts in the regional economy of the Russian Federation. To assess structural changes in the economy, the K. Gatev coefficient is used, which is the most effective tool for calculating the magnitude of structural shifts and allows you to assess their changes both in dynamics and effectiveness. In the course of the study, a toolkit of information and analytical support was developed, with the help of which the dynamics of K. Gatev's structural shift coefficients was assessed, the trend of K. Gatev's coefficients for the near future from available data using a neural network was revealed, a regression model of the relationship between indicators of information society development and gross regional product per capita was built. The created information and analytical system makes it possible to increase the effectiveness of monitoring the development of digital technologies in the Russian Federation; to predict the dynamics of structural shifts in the economy and assess their quality; the results of regression analysis can be used to identify key factors contributing to the growth of gross regional product. The scientific novelty of the study lies in the fact that the regional information and analytical system (IAS) proposed by the authors, unlike analogues used by regional authorities, accumulates the results of comprehensive monitoring of structural shifts in the economy of regions; it records the state and results of socio-economic development of regions, including the IT sector. The theoretical significance lies in the proposed methodological approach to the development of an IAS for monitoring the development of digital technologies and assessing their impact on the dynamics of structural shifts in the Russian economy, including an interface aimed at various user groups and a data search service providing remote multidimensional access to relevant data. The practical significance lies in the possibility of using the established IAS by regional authorities in order to improve the efficiency of managing economic processes in the regions.