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Information Sciences Letters

Information Sciences Letters

Abstract

The study aims to test the hypothesis and evaluate the social security of the Russian Federations subjects, highlighting the importance of identifying and addressing critical challenges in the social domain. The authors employed N.V. Kocheryagins methodology and used comparative analysis, synthesis, standardization, integral method, and cause-and-effect relationships analysis as the main scientific methods. The study encompasses all subjects of the Russian Federation from 2016 to 2022. The result of the study is the analysis of directions for achieving the set goals in post-pandemic conditions. Applying the assessment methodology, the researchers identified the regions social security level, social sphere risk zones, and subject type based on the social development level. The regions were then categorized into appropriate groups, with leaders and outsiders recognized. A correlation analysis was conducted to examine the relationship between the security level and the labour market tension coefficient, reflecting the stability of labour resource supply and demand. The study demonstrates that regional social security levels can be classified according to risk levels and social development types. This classification is relevant given the negative impact of economic processes on the social sphere.

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