Published March 27, 2018
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Using Cluster Analysis for the Evaluation of the Efficiency of Distributing Financial Resources of Agricultural Enterprises
Description
Theoretical-methodical aspects of using cluster analysis in the process of making managerial decisions in the sphere of distributing financial resources by enterprises in agricultural sphere are considered in the article. Index cluster analysis of agricultural enterprises’ activities in Poltava region was conducted using the method of k-averages. The obtained results enable not only to determine clearly the level of financial potential at enterprises of the branch, but also demonstrate the impact of separate components on the formation of the given level, and show, which indices influence this or that sub-potential most of all.
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References
- Bezrukov, N.S. (2008). Methods of regional clustering in terms of human capital on the basis of self-learning neural networks. Upravleniye v sotsialno-ekonomicheskikh sistemakh. Vol. 1(15), 96-102.[in Russian].
- Bondarenko, O.S. (2011). Methods of cluster analysis. Retrieved from: http://www.rusnauka.com/ 11_EISN_2011/Informatica/1_84590.doc.htm [in Ukrainian].
- Bushuyeva, M.A. (2012). Synergy in the cluster. Internet-zhurnal "Naukovedeniye". Vol 4, 1-6 [in Russian].
- Vladimirskiy, E.I. (2011). "Synergetic methods for controlling chaotic systems". 240 [in Russian].
- Golubêva, N. (2011). Estimation of production potential of coal-mining enterprises on the basis of cluster analysis. Skhid – East. Vol. 3(110), 14-17 [in Ukrainian].
- Guseva, Y.Y. (2009). Methodical recommendations on diagnostics of financial condition of machine-building enterprises of Ukraine with use of cluster analysis. Otkrytyye informatsionnyye i kompyuternyye integrirovannyye tekhnologii. Vol. 41, 189-195 [in Ukrainian].
- Dubrovskaya, L.I. (2011). Computer processing of natural science data using multidimensional applied statistics: Study allowance. 120 [in Russian].
- Kovalenko, A.V. (2010). Cluster analysis of the financial and economic state of the construction industry enterprises. Nauchnyy zhurnal KubGAU. Vol. 60(06), 1-11 [in Russian].
- Kravets, T.V. (2010). Rating Estimating the Enterprises Activity Using the Modified Clusterization Method. Derzhava ta regioni. Seria : Yekonomika ta pidpriemnitstvo. Vol. 6, 173-180 [in Ukrainian].
- Mirkin, B.G. (2011). Methods of cluster analysis to support decision-making. Izd. dom Natsionalnogo issledovatelskogo universiteta "Vysshaya shkola ekonomiki", 88 [in Russian].
- Khalafyan, A.A. (2010). Statistica 6. Mathematical statistics with elements of the theory of probability. "Binom-press", 496 [in Russian].
- Khasanova, G.F. (2011). Synergy as a method of increasing the efficiency of the companys operations. Elektronnyy nauchnyy zhurnal "Neftegazovoye delo", Vol. 6 [in Russian].