CLUSTER FORMATION OF INVESTMENT ATTRACTIVE AGRARIAN REGIONS OF THE COUNTRY USING NEURAL NETWORKS

The article analyzes the investment attractiveness of the domestic agricultural sector, determines the structure of sources of investment, heterogeneity of directions and attraction conditions. It is pointed out that during the period of 2012-2016 the total amount of money allocated by the state in the agricultural sector decreased by 83% and in 2016 is 16,5% in comparison with 2012. It is noted that the negative dynamics of public funding was partially covered with growth of capital investments from own funds of agricultural enterprises. Using regression analysis, it is proved that the studied phenomena are closely linked, namely: increase in gross regional product of the cluster is due to the growth of factor characteristics. The analytical platform Deductor Studio Academic 5.2 is used for the neural processing of statistical information. Inequalities in the distribution of investment capital among clusters of agricultural enterprises are specified. It is noted that investment policy requires improvement towards the creation of favorable conditions for attracting capital to the development of the agricultural sector and the organizational and economic mechanism requires development to facilitate the proportional allocation of investments.