Construction of the Simulation Model of Social Potential of Childhood in a Region

Abstract

Introduction. The relevance of the study is determined by the uneven regional conditions for the development of childhood in Russia. Russia’s regions have different resources for preserving children’s health and educating children. The aim of the work is to identify regional factors affecting the social potential of children, and the subsequent construction of the simulation model of Social potential of childhood in a region. Materials and Methods. The study employed the methods of correlation and regression analysis. Statistical data presented in official sources were used as the materials of the study. The calculations were made using the Deductor analytical platform, the construction of the simulation model was implemented using the AnyLogic software. Results. During the study, 12 target and 36 control factors were identified. An analysis of the relationships between the target and control factors made it possible to identify target indicators characterizing children’s education, health and survival rates. The identified control factors were divided into three groups: the constants, factors that can be regulated by the regions, and factors that are difficult to regulate by the regions. The constructed simulation model is part of the assessment of the control factors’ influence on childhood in Russia’s regions. Experiments with the model showed that in addition to influencing the socio-economic situation in a region as a whole, it is important to reduce the number of shifts in schools and at the same time improve the skills of school teachers, increase the number of children involved in summer recreational activities. Discussion and Conclusion. The research materials will be useful in planning for preservation and development of the social potential of childhood in a region. The data obtained are of value both to sociologists and scientists involved in modeling of socio-economic processes. In the study of regional systems.