Study of regional agricultural production using multivariate analysis techniques

Abstract

The article substantiates the application of the cluster analysis method on empirical data. A system of indicators of agricultural production has been designed. A multidimensional grouping by the method of cluster analysis was carried out, the regions were grouped into clusters according to the level of resource provision in the industry, the effectiveness and efficiency of production, its technical, scientific potential and support. The characteristics of each cluster are given, the main strengths and weaknesses of the agriculture of the regions are shown according to the selected indicators. Practical recommendations have been developed for the regions of each cluster, which will allow using the totality of available resources, conditions and factors to increase the efficiency and sustainability of production in addition to increasing its social and environmental orientation. Cluster analysis made it possible to implement a systematic approach to the study of agricultural production, to equally take into account various indicators, to lay dynamic changes in a spatial study. A drawback of the study is the limited data and access to information. Some aspects of the organization and management of production are briefly described.