Digest Finance

A Neural Network Analysis of the Fixed Capital Investment Trends in Regions of the Russian Federation

Vol. 22, Iss. 3, SEPTEMBER 2017

PDF  Article PDF Version

Received: 27 January 2017

Received in revised form: 10 February 2017

Accepted: 27 February 2017

Available online: 21 September 2017


JEL Classification: С15, С45, E22, R11

Pages: 258-273


Kuznetsov Yu.A. National Research Lobachevsky State University of Nizhny Novgorod, Nizhny Novgorod, Russian Federation

Perova V.I. National Research Lobachevsky State University of Nizhny Novgorod, Nizhny Novgorod, Russian Federation

Lastochkina E.I. National Research Lobachevsky State University of Nizhny Novgorod, Nizhny Novgorod, Russian Federation

Importance The article considers the changes in and characteristics of the investment activities and behavior of the Russian Federation regions.
Objectives The article aims to analyze and describe the trends and characteristics of fixed capital investment behavior of the Russian Federation regions to ensure the economic growth and socio-economic development of the country and regions.
Methods We examine the regions' investment activities for the period from 2012 through 2014 using the neural modeling methodology on the basis of thirteen indicators characterizing the investment activities of the regions and defining their socio-economic development prospects. We also apply the Self Organizing Map using the STATISTICA software. Data of the Federal State Statistics Service of Russia on fixed investment by type of economic activity in the regions underlie our study.
Results The paper shows certain characteristics and peculiarities of the investment performance and behavior of the Russian Federation regions.
Conclusions and Relevance The cluster analysis of the Russian Federation regions' investment activities shows their uneven nature. The findings indicate the need for comprehensive measures to help change the structure of the investments involved and stimulate investment activity in all regions of the Russian Federation.

Keywords: investment behavior, cluster analysis, neural networks, STATISTICA software


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