HEALTH CAPITAL, SOCIAL AND PSYCHOLOGICAL CAPITALS IN THE SYSTEMIC ORGANIZATION OF HUMAN CAPITAL: FROM ENDOGENOUS HARMONY TO ECONOMIC EFFECT

Abstract

Contemporary socio-economic transformations, digitalisation, and labour market instability highlight the need to reconsider the traditional understanding of human capital as a stock of knowledge, skills, competencies, and professional experience. The linear relationship between investment in education and expected economic returns does not fully explain differences in the effectiveness of human capital realisation. The study aims to provide a theoretical and methodological substantiation and conceptualisation of human capital architecture as a nonlinear, relational, and emergently organised system by identifying the structural and functional roles of its endogenous components in generating economic effects. The methodological framework is based on the structural-functional approach, complemented by the principles of complexity economics, complex adaptive systems theory, behavioural economics, and causal analysis. Four interrelated components are distinguished within the structure of human capital: educational-competency capital, health capital, social capital, and psychological capital. The study substantiates the transition from an additive interpretation of human capital towards its understanding as an integrated system whose economic performance depends on the internal coherence of its components. The concept of endogenous harmony of human capital is introduced. Health capital is conceptualised as a primary mediator of the realisation of educational-competency potential, while social capital acts as a subsequent mediator enabling its practical externalisation through social and institutional interactions. Psychological capital performs a moderating function by influencing the strength of the economic effect depending on an individual’s motivation, adaptability, resilience, and other psychological resources. Human capital should be considered a complex self-regulating system whose effectiveness is determined not only by the level of development of its individual components but also by the nature of their interaction and functional coherence. Further research should focus on empirical validation of the proposed model, development of quantitative indicators for its components, mathematical modelling of nonlinear relationships among them, and construction of diagnostic matrices for identifying internal human capital imbalances.