Methodical Bases of the Analysis of Regional Differentiation of Development of Animal Husbandry in Ukraine

Abstract

In recent years, Ukraine experienced inadequate efficiency in forming strategic goals for the development of animal husbandry industries, which comprise the potential not only of agriculture, but also of the country as a whole, so research and scientific substantiation in this sphere is relevant. Particularly, the relevance of the study lies in the need to analyze the level of animal husbandry potential in terms of the number of animals and selling for slaughter in all categories. The article is aimed at studying the regional development of Ukraine according to the key indicators of animal husbandry, further identifying characteristic regional features and developing recommendations on development prospects. To research the impact of these factors on the development of animal husbandry, regions of Ukraine were classified using the methods of cluster analysis. This approach allows to build up scientifically grounded classifications, to determine internal links between individual objects of the studied population in the conditions of constant increase and complication of the statistic data flows. Two cluster analysis methods have been applied: building up a dendrogram and the k-means method. The carried out analysis defined three groups of regions characterized by similar features, where the regions belonging to the third cluster have the highest level of animal husbandry development, the second cluster has an average level of development, and the first cluster has the lowest level of animal husbandry development among all regions. Cluster analysis allowed to identify problematic situations and set out ways to solve them. Cluster approach allows to classify regions of Ukraine according to the aforementioned indicators, as well as develop differentiated strategies for improving the strategy of animal husbandry development at regional levels, to compound comprehensive ratings of animal husbandry development. Disparities in the levels of development of regions and individual components have a negative impact on the development of the State in general and should be researched to determine the government and regional policy, which would account the features indicated.

Untitled

“…Operational assessment of the development of information and communication technologies is the basis of a balanced policy at the regional level for managing sustainable development and is a determining criterion for progress in a digital, economic and social society (Korepanov, 2018). The development of computer technologies is related to cyber security.…”