Solving problems of agricultural production development by modeling using the cluster analysis method

Abstract

The article outlines the need to apply a systematic approach to the analysis and solution of agricultural production development problems. The system approach implementation is carried out using a multidimensional data analysis method – the cluster analysis method. A system of indicators characterizing the conditions and results of agricultural enterprises in the regions of the Central and Volga Federal Districts of the Russian Federation has been built, a multidimensional grouping of regions has been carried out to identify problems and directions for their solution. The multidimensional approach to the study allowed an objective analysis and formulation of well-founded specific conclusions and recommendations for the regions of each cluster. As a result, two clusters of regions were identified according to the level of agricultural production development. Subclusters are also allocated within clusters to detail and concretize proposals. Recommendations on agricultural production development are made to the regions of each cluster. The directions for the formation of the strategy for the development of agriculture of the corresponding groups of regions and territories are outlined.