Digitalisation is a new global trend that significantly influences the economic and social development of various territorial systems (from municipal to macroeconomic level). We hypothesise that the digital transformation of industrial enterprises is becoming a key factor of territorial competitiveness that determines regional development prospects and the possibility of increasing the growth rate of the national economy. To substantiate this hypothesis, we examined the spatial relationships, which emerge when industrial enterprises introduce digital technologies at the regional level, as well as assessed the impact of digitalisation processes on the renewal of the human resource capacity of the regional industry. For analysing the digital modernisation of the regional industry, we used official statistics on the share of organisations using radio-frequency identification (RFID). We chose this particular indicator because RFID-technology is the closest to cyber-physical systems, which enable the so-called smart production (the main indicator of the fourth industrial revolution). Using the global and local Moran’s indexes and the migration matrix of spatial weights, we studied the spatial heterogeneity of the digital industry transformation across the Russian regions. Anselin’s local autocorrelation matrix was applied to analyse inter-regional relationships, which emerge when manufacturing enterprises use of digital technologies. The calculated negative spatial autocorrelation index proves that digitalisation processes in industrial production have a high spatial heterogeneity: only a small part of the regions is characterised by a high level of RFID use by manufacturing enterprises. Using the migration flow matrix of graduates, we revealed that the constituent entities of the Russian Federation differ not only in indicators of using digital technologies but also in attractiveness to young, highly qualified personnel. The results of the spatial analysis confirm that the introduction of smart production technologies by industrial enterprises significantly influences the progressive socio-economic development of territories. This conclusion opens up new topics for research, including the theory of regional economic growth and the issues of transformation of the digital space of the national economic system.

The issue of increasing budgetary independence and security is relevant for the majority of territorial systems, both at the regional and municipal levels. It was hypothesised that changes in the structure of regional public debt have a negative impact on their budgetary security. According to this hypothesis, an increase in the proportion of bank borrowing and corresponding decrease in the issue of debt securities by the constituent entities of the Russian Federation leads to a greater overall debt burden on the regional budget. In order to study transformation processes affecting budgetary independence and regional security. We developed a methodology to permit a separate assessment of these concepts. According to this approach, we propose to evaluate the budgetary independence of regional systems in terms of: (1) the balance of the budget (ratio of internal tax and non-tax revenues to budget expenditures); (2) financial dependence on transfers and subsidies from budgets at other levels; (3) budget security, taking into account gratuitous and non-gratuitous transfers. Thus, budgetary security can be assessed in accordance with the public debt dynamics, as well as the level of budgetary debt covered by the region’s own tax and non-tax revenues. The novelty of the presented methodological approach consists in its systematic use of Moran’s I for various spatial weight matrices combined with regression analysis methods based on panel data. Testing this methodology demonstrated the spatial heterogeneity of regional fiscal capacity, highlighting the financial dependence of most regions on federal and other gratuitous transfers. Autocorrelation analysis carried out according to Moran’s I using various spatial weight matrices confirmed the increasing tendency of the budgetary debt of Russian regions towards spatial heterogeneity. Future studies will focus on simulating the influence of various factors on regional budgetary security in order to predict the dynamics of its change.