ПРИМЕНЕНИЕ КЛАСТЕРНОГО АНАЛИЗА ДЛЯ ОЦЕНКИ РАЗВИТИЯ ЦИФРОВОЙ ЭКОНОМИКИ РЕГИОНОВ РОССИИ

Abstract

Subject . Regional features of digital economy development in the Russian Federation regions. Methodological problems of evaluating the digital economy and applied research of its development in different regions. Differentiation of regional digital economies and development of promising directions for the development of the digital economy of individual regions. Topic . Formation of relevant approaches to assessing the development of the regional digital economy and solving problems of digital inequality among Russian regions. Purpose. Assessment of the development of the digital economy in Russian regions (their homogeneous groups) and justification of a differentiated approach to the selection of appropriate measures and tools for managing development processes. Methodology. The assessment of the development of the digital economy of Russian regions was made using cluster analysis, which allowed dividing 85 regions of Russia into virtual clusters by 14 indicators. The study uses data from official statistics «Monitoring the development of the information society in the Russian Federation». Normalization of indicators was carried out using the MS Excel program; the division of regions into clusters was made using the Statistica 10 program using the K average method for normalized values of indicators.Results . As a result of virtual clustering, five similar groups of Russian regions were analyzed. Leaders and outsiders are identified among them, and their weaknesses and strengths are identified, including in the context of public subsystems (households, the public sector, and business structures). The necessity of a differentiated approach to the choice of measures and tools for managing the development of digitalization for a specific subject of the Russian Federation is shown. Applicationarea . The results of the research can be used in the development and updating of national and regional documents on the development of the digital economy. Conclusions . Methods for assessing the development of the digital economy, as well as the composition of the indicators used in them, remain variable. The currently dominant ratings for the development of the digital economy set priorities, but they cannot form homogeneous groups of countries or regions for certain components of the development of the digital economy. The use of cluster analysis allowed us to identify three leading groups of Russian regions, characterized as territories of active users of information and communication technologies in the corresponding social subsystemthe driver of the digital economy development. The remaining two clusters, which unite half of the Russian regions, are outsiders in an unbalanced state. When determining the future directions of development of the digital economy of individual regions (their groups) and selecting management tools, it is advisable to take into account the existing differentiation and focus on the corresponding subsystem drivers.