Abstract

The aim of the article. The article analyzes the investment attractiveness of the domestic agricultural sector, determines the structure of sources of investment, heterogeneity of directions and attraction conditions. The results of the analysis. It is noted that the investment activity in Ukraine is under conditions of deficiency of financial resources and destructive financial policies. 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. But all this had social consequences, in particular reducing the number of employees and migration of the rural population. Investment attractive clusters of agricultural regions via factor, regression and neural analysis of information processing are defined. 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. It is specified on the main advantages of applying the method of neural networks. Visualization of neuro clustering results is based on the self-organizing map. This neuro clustering identified three clusters that partially repeat the results of factor analysis. Inequalities in the distribution of investment capital among clusters of agricultural enterprises are specified. Conclusions and directions of further researches. 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.

Keywords: investment attractiveness, agricultural sector, clusters, neural networks, self-organizing map

JEL Classification: E22, C45.

Cite as: Novak, I. (2016). Cluster formation of investment attractive agrarian regions of the country using neural networks. Marketing and Management of Innovations, 3, 221-229. https://doi.org/10.21272/mmi.2016.3-17

This work is licensed under a Creative Commons Attribution 4.0 International License

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