КЛАСТЕРИЗАЦИЯ РАЙОНОВ ОРЛОВСКОЙ ОБЛАСТИ ПО ПОКАЗАТЕЛЯМ ПРОИЗВОДСТВА МОЛОКА (90,00 руб.)

The purpose of the study is to determine the main trends in milk production in the Orel region by conducting economic statistical and cluster analysis n by districts for the period 20092015. <...> At the level of similarity of districts within clusters not less than 80% four clusters are formed, of which three include approximately equal number of districts (7-8), and the leader – Krasnozorenskiy district – forms an independent cluster. <...> The percentage of correct classification is high – 95.8%, which allows us to adopt the cluster solution obtained by hierarchical analysis as a working model in further analysis. <...> As a result of the cluster analysis, the Orel regions are characterized by different dynamics of milk production per 136 етник ОелАУ, , Июнь , http://dx.doi.org/./ capita, as well as an increase in this indicator, including: the first cluster is a the central cluster, the annual milk production there corresponds to the average level in the Orel region – about 550 kg / year per capita, which exceeds the recommended production by the Ministry of Health Standard (325 kg / person per year); the second cluster is characterized by milk production values – about 310 kg / year per capita, inferior to the standard, as well as reliable negative average annual dynamics of the indicator; the third cluster for milk production per capita is above the average for the region – about 627 kg, which in turn exceeds the Ministry of Health standard twice. <...> Negative dynamics of production of dairy products were established; the fourth cluster, represented by the Krasnozorensk district, is markedly distinguished both by high production indicators and by general indicators of growth. <...> Цель исследования - определение основных тенденций производства молока в Орловской области в разрезе районов, путем проведения экономико-статистического и кластерного анализа за период 2009-2015 гг. <...> На уровне сходства районов внутри кластеров не ниже 80% сформируются четыре кластера, из которых три включают примерно равное число районов (7-8), а лидер - Краснозоренский район - образует самостоятельный кластер. <...> В результате проведенного кластерного анализа определены районы Орловской, которые характеризуются различной динамикой производства молока на душу населения, а также прироста данного показателя, в т.ч <...>