Оценка технологических возможностей регионов для развития человеческого потенциала (на примере субъектов Уральского и Сибирского федеральных округов)

Abstract

Introduction. Developing human potential, improving the population’s life quality of the regions are the unconditional priorities of the regional socio-economic policy. The implementation of such priorities requires an objective assessment of the existing socio-economic situation of the Russian Federation’s constituent entities, an analysis of the conditions for regional development, a search for economic growth drivers, and the development of effective mechanisms for implementing priorities. The designated issues are in the area of scientists’ and specialists’ close attention, whose range of scientific research and applied practices is constantly replenished. In this regard, the article expands the understanding of the complexity of the regions’ socio-economic and technological development, and various aspects of the processes of regional development are considered on the basis of the proposed model, the essence of which is represented by the triad “conditions-factors-results”. Within the framework of the proposed triad, «conditions» were determined by the socio-economic situation of the region, scientific, technological and digital «factors» were considered as drivers of development; and “results” were investigated through social parameters that reflect the level of human development. Taking into account the importance of achieving social results in the framework of technological development, studies aimed at studying the interdependence of the processes of technological transformation and human development seem to be very timely and relevant. Purpose. Reveal the mutual influence of the scientific and technical potential and the level of digitalization of the territory, as factors of socio-economic development, on the human potential of the region. Methods. For the study, a statistical analysis was used based on data from Rosstat, Moscow School of Management Skolkovo, RIA Rating; correlation analysis; methods of comparative analysis, rating, grouping and positioning of regions. The scientific novelty of the research consists in the developed model of regional development, the content of which is described by the triad “conditions-factorsresults”. The conditions of regional development are considered as opportunities to achieve the set goal, factors - as catalysts for technological development of territories, results - as an increase in human potential. At the same time, the model has reproductive characteristics, since it provides for direct and feedback connections, namely: the achieved «results» affect and change the «conditions» that form the updated «factors», which in turn generate new «results». The resulting cumulative effect of the technological development of the regions is converted into the strengthening and development of human potential. Results and Conclusions. The authors conducted a study on the influence of integral indicators of the socioeconomic situation of regions, the level of scientific and technical potential and digitalization on the human development index of the regions of the Ural and Siberian federal districts. The comparison of the regions was carried out both separately for each federal district and jointly for all regions of the two districts. The grouping and positioning of regions in the study of the triad «conditions-factors-results» made it possible to identify the strongest regions where a favorable socio-economic situation, high digital and scientific and technical potential contribute to the development of human potential. In contrast, less prosperous regions (from the standpoint of conditions and factors of technological development) are not capable of a technological breakthrough and are limited in their impact on human potential. The unevenness of digital development and the scientific and technical potential of the regions was established, and the leading regions and outsider regions characterized by unequal opportunities for technological development were identified. The positioning of the regions made it possible to identify groups for which measures are needed to expand opportunities for technological development. The influence of the level of digitalization and scientific and technical potential on the human development index was established, which made it possible to identify regions, one of which is advisable to be included in interregional interaction (partnerships) to enhance the use of their specific capabilities, while others - to overcome the lag in the studied areas of development.