Differentiation of CFD Regions: A Classification Approach Based on the Performance Indicators of Regional Heads

Despite its leadership in key indicators, the socio-economic polarization of regions within the Central Federal District (CFD) necessitates the development of new comprehensive approaches to classifying its constituent subjects. This is crucial for achieving state governance goals aimed at reducing interregional disparities. The research objective is to create an original methodology for the typology of Russian Federation subjects based on the performance indicators of their heads, as approved by Presidential Decree. Its scientific and practical significance lies in providing a tool to identify regional characteristics, enabling the differentiation of management strategies and optimization of resources. Testing the methodology on CFD data for 2022-2023 led to the identification of 6 typological groups, revealing key differences, potential, and challenges of the regions, and confirming the district's pronounced polarization. The value and scientific novelty lie in the proposed universal classification approach, which comprehensively assesses regions based on both their current state and development dynamics, viewed through the lens of leadership effectiveness. The methodology is adapted to the specifics of the CFD but can potentially be applied to other districts once sufficient data is accumulated. The study highlights the connection between the activities of regional authorities and socio-economic outcomes, offering a tool for enhancing public administration