REGIONAL DIMENSIONS OF SOCIO-DEMOGRAPHIC RESILIENCE IN UKRAINE: ASSESSMENT AND SPATIAL DISPARITIES
DOI:
https://doi.org/10.35774/rarrpsu2025.30.147Abstract
Introduction. The full-scale war in Ukraine has highlighted the need to reconsider approaches to the analysis of demographic processes at the regional level under conditions of profound uncertainty and limited statistical data availability. In the absence of comprehensive empirical information, methodological and conceptual frameworks capable of assessing regions’ capacity to preserve and restore human potential in post-crisis conditions become particularly important.
Purpose of the study. The purpose of the article is to provide a theoretical and methodological justification of approaches to assessing regional dimensions of socio-demographic resilience in Ukraine and to develop an analytical framework for identifying spatial disparities in regional adaptive and recovery potential during the war and in the post-war period.
Research methods. The study is based on a systemic and interdisciplinary approach, synthesis of international concepts of population resilience, and critical analysis of existing methodologies for its quantitative assessment. A methodological model of an integral index of socio-demographic resilience is proposed, combining demographic, migration, and socio-economic components and incorporating adaptive normalization procedures under conditions of limited data availability.
Results. The study substantiates the relevance of a socio-demographic approach to the analysis of regional resilience and identifies key structural components of integral assessment. Methodological principles for classifying regions according to their adaptive and recovery potential are formulated, and typical spatial disparities of socio-demographic resilience in Ukraine under wartime conditions are outlined.
Prospects. Further research prospects include empirical testing of the proposed methodological framework using updated statistical and administrative data, as well as expanding the model through the inclusion of indicators related to mental health, social cohesion, and human capital.
Keywords: socio-demographic resilience; research methodology; regional analysis; post-war recovery; spatial disparities; integral index.

