Assessment of financial support for the IT infrastructure of Russian regions based on segmentation and regression modeling

Abstract

Assessment of financial support for the IT infrastructure of Russian regions based on segmentation and regression modeling

Noskov S.I., Medvedev A.P., Seredkin S.P.

Incoming article date: 13.01.2026

Regression analysis is an effective tool for estimating and planning budget allocations, which allows us to identify statistical dependencies between socio-economic indicators. In this paper, based on open statistical data for 80 subjects of the Russian Federation, an analysis of the distribution of IT infrastructure financing for 2025 is carried out. The population of the region was used as an independent variable, and the planned amount of funding was used as a dependent variable. The proposed approach based on the cluster regression model has proved to be a fairly effective tool for targeted diagnostics of the state and planning of financing digital infrastructure. The results obtained make it possible to move from a unified to a differentiated regional policy in the field of digitalization, which in the future may increase the efficiency of budget expenditures and will help reduce digital inequality.

Keywords: IT infrastructure, adequacy criteria, cluster regression model, financing, forecasting, regression analysis, budget planning