Modeling the development of agricultural production by cluster analysis

Abstract

The article carried out a multidimensional grouping of the regions of the Central and Volga Federal Districts of the Russian Federation according to indicators characterizing the state and development of agricultural production. The cluster analysis method was applied twice: when constructing a system of indicators for grouping regions and when combining regions into clusters. This approach made it possible to enhance the practical significance of the study, made it possible to objectively analyze and formulate reasonable specific conclusions and recommendations for the regions of each cluster. As a result, four groups (clusters) of indicators and three clusters of regions were identified according to the level of development of agricultural production.