Development of a methodology for categorizing the socio-economic development of regions based on an analysis of the needs of the population

the article presents a comparative analysis of two methodological approaches to the categorization of socio-economic development of regions based on the analysis of population needs: mathematical and heuristic categorization. The proposed methodologies are developed based on a review of existing research. Both approaches utilize the Principal Component Analysis (PCA) method but differ in their application strategies. The mathematical categorization relies on a predetermined level of determination, ensuring objectivity, though potentially overlooking the specifics of individual need categories. In contrast, the heuristic categorization takes into account the particularities of each category but is more susceptible to subjectivity. This work contributes to the advancement of methodology for monitoring regional socio-economic development by offering tools for more accurate and effective assessment of development levels based on the analysis of population needs satisfaction. Future research prospects include validation of the developed methodology and optimization of the selection of weighting coefficients during indicator aggregation. The work was carried out within the framework of the project «Development of a methodology for the formation of an instrumental base for analysis and modeling of spatial socio-economic development of systems in the context of digitalization based on internal reserves» (FSEG- 2023-0008).

monitoring, mood category, socio-economic development, categorization of regions, categorization methodology, mathematical and heuristic categorization of regions