Abstract:

The work carried out the development of a generalized algorithm for the comparative analysis of indicators of the results of socio-economic development based on multivariate models of macroeconomic indicators of the development of society. The study of the 16-factor complex of global indices, which includes five indicators of results, made it possible to identify its systemic characteristics and main interrelationships. It is shown that the Human Development Index and Social Progress Index have a dominant influence on various performance indicators. In addition to the high level of influence on other indicators of results (0.3–0.7 total influence), they have a cooperative effect on other indicators within the framework of complex predictors. The GDP per capita indicator is interconnected within the framework of complex predictors, mainly with the World Happiness Index.