Application of the cluster analysis for assessing the savings and investment potential of the population of the siberian federal district
The article presents a multidimensional cluster analysis of the regions of the Siberian Federal Level by the level of savings and investment potential of the population. Clustering was carried out using the ACC Statistica based on the joint use of hierarchical and non-hierarchical algorithms. This approach made it possible to increase the reliability of dividing the regions of the district into homogeneous groups. As a result, the heterogeneity of the regions of the Siberian Federal District in terms of the studied potential is revealed. Three clusters with a high, medium and low level of savings and investment potential of the population were obtained. Each resulting cluster provides a tool for making effective decisions at the level of both a single region and the district as a whole. The analysis made it possible to analyze the current state and trends in the development of the level of savings and investment potential of the population in the Siberian Federal District. And also to find out the reasons for the low level of the investigated potential.