ПОСИЛЕННЯ ЕКОНОМІЧНОГО ЗРОСТАННЯ В КОНТЕКСТІ ЗМЕНШЕННЯ ДИФЕРЕНЦІАЦІЇ ЛЮДСЬКОЇ НЕРВНОСТІ

Abstract

Today, humanity has one of the oldest unresolved problems – human inequality. It is precisely because of inequality in the modern world that a sharp differentiation is possible, such that people can live below the poverty line and not have the opportunity to change the situation, when on the other side there are people who are always enriched. Inequality is caused by such systems as the labor market, education and its accessibility, health and life expectancy, and the environment. The strongest negative effects of human inequality can be seen in terms of people's health status, life expectancy, economic and social well-being, and social mobility. The purpose of the study is to form a feature space of determinants that determine and influence the value of the indicator of human inequality, as well as to develop a statistically significant regression model for an in-depth analysis of the degree of influence of socio-economic factors, health determinants on the value of the effective indicator of human inequality, to identify opportunities for reducing gaps in the values of the effective indicator in the context of Research countries. The research methodology is based on a meaningful and logical generalization of the essence of socio-economic indicators and determinants of Health that influence the indicator of human inequality, descriptive analysis of the quality of the formed feature space. The research used methods of comparative analysis, content analysis, systematization, logical generalization, bibliometric analysis (using the Vosviewer toolkit), correlation and regression analysis (using the Statgraphics Centurion toolkit). Results. A statistically significant econometric regression model has been developed that characterizes the impact of independent indicators determined by the Gini coefficient, inequality in life expectancy, gross national income, and the inequality – adjusted life expectancy index on the performance indicator-the human inequality coefficient. The significance of the model is justified by statistical criteria for checking the student, Fischer, Darbin-Watson, the value of the coefficient of determination and the significance level of P-value. Practical calculations were performed using the state-of-the-art Statgraphics Centurion application software. The results of the study can be used by state economic agencies for the development of society in order to develop a system of measures aimed at in-depth analysis of influential indicators, taking into account the direction of influence (direct or inversely proportional) to reduce the gap in the value of the indicator of human inequality. The implementation of the developed system of comprehensive measures will contribute to increasing economic growth for any country.