MODEL ANALYSIS OF INDICATORS OF SUSTAINABLE DEVELOPMENT OF WORLD COUNTRIES

Abstract

The article discusses the possibilities of use of classical instruments of analytical methods and data mining methods for global sustainability modelling. To divide countries into groups according to the indicators that are traditionally allocated for sustainability studying, it is carried out the cluster analysis by k-medium method, which resulted in 2 clusters. The first cluster includes economically developed industrialized countries. A high level of social performance and a low level of inequality of outcomes characterize them. At the same time, these countries have high rank of corruption and low Gini Index. There are low social standards, but significantly lower rank of corruption and footprint than in developed countries in the countries of the second cluster. However, the index of inequality of outcomes is three times higher than in the countries included in the first cluster. The tree graph classification of the countries of the world has been constructed on the basis of indicators of sustainable development. The computer models, which are presented in this paper, aim to solve the main problems of sustainable development. They can also be applicable in many other fields, including international relations, economics, and management systems.