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DIFFERENTIATION OF AGRICULTURAL ENTERPRISES OF KRASNODAR REGION TO PRODUCTION POTENTIAL MULTIVARIATE STATISTICAL TECHNIQUES  [2015]

Kosnikov S. N. Shalaginova E. S. Kuban State Agrarian University [Corporate Author]

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The article discusses approaches to differentiation of agricultural enterprises of the Krasnodar region on the production potential. As the object of study we have selected 640 agricultural enterprises of the Krasnodar region for 2013. Cluster analysis allows visually differentiate organizations in economic parameters. The advantage of this approach is evident when analyzed a large number of organizations and performance. It is preferred that clustering is made using hierarchical cluster analysis and k-means. The results of clustering agribusiness enterprises of the Krasnodar region on the main economic indicators were given. During the analysis, we revealed that the AIC enterprises of the Krasnodar region generally form five clusters. Cluster 1 is characterized by a very high level of development of the productive capacity of agribusiness enterprises, consists of 12 organizations and is defined as "extra large" organization. 2nd cluster is characterized as "large", it includes 25 agricultural enterprises. 3rd and 4th clusters - as "average", they account for 60% of the acreage, 52.6% of fixed assets for agricultural purposes. 5th cluster is represented as "small", is a leader in the number of organizations - 371 units and contains a minimum number of employees - 30 people. It is assumed that these approaches can be used for analysis of agricultural organizations of the Krasnodar region with different levels of specialization and in other studies

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Polythematic Online Scientific Journal of Kuban State Agrarian University

ISSN : 1990-4665