Econometric Modeling of Factors Affecting Regional Gross Product (Based on Data for 2010–2025)

In this study, an econometric model was developed to analyze the processes of regional economic development and identify the main factors affecting the gross regional product. In the study, a regression model was built using the least squares method (LSM) based on statistical data for the period 2010–2025. The model selected the gross regional product indicator as the dependent variable, and the number of economic entities, the volume of investments in fixed capital, and the development indicators of the service sector as independent variables. The results of the analysis show that the selected factors significantly affect regional economic growth. According to the results of the model, the expansion of entrepreneurial activity, increased investment activity, and the development of the service sector have a positive effect on the growth of the gross regional product. Also, the statistical indicators of the model confirm that they have a high level of accuracy and indicate the strength of the relationship between economic indicators.