Regionální disparity v Ruské federaci: Konvergenční a divergenční trendy v období 2010-2022

This thesis focuses on the analysis of regional disparities in socio-economic indicators across the regions of the Russian Federation between 2010 and 2022. The main emphasis is placed on evaluating σ-convergence and β-convergence, which allow for the examination of trends in the equalization or deepening of differences between regions. Additionally, the geographically weighted regression (GWR) model is utilized to identify spatial patterns and relationships among socio-economic indicators in regions with similar demographic and urbanization characteristics. The results indicate that spatial differentiation among regions significantly impacts socio-economic indicators; however, adequately identifying clear trends of convergence or divergence remains a complex task. The data suggest that demographic, national, and urbanization characteristics proved insufficiently robust as foundations for effective regional classification, complicating the precise delineation of socio-economic convergence processes. This complexity underscores the need for further exploration of additional factors and methods that could better reflect the specificities of individual regions. These conclusions can contribute to a deeper understanding of the mechanisms of regional development and disparities.