National Interests: Priorities and Security
 

Neural network modeling of development trends of physical culture and sports in the Russian regions as a driver of the national socio-economic growth

Vol. 14, Iss. 11, NOVEMBER 2018

Received: 26 June 2018

Received in revised form: 30 July 2018

Accepted: 1 October 2018

Available online: 16 November 2018

Subject Heading: SOCIAL SERVICES AND EDUCATION

JEL Classification: C38, C45, O15, O40, Z02

Pages: 2064–2082

https://doi.org/10.24891/ni.14.11.2064

Perova V.I. National Research Lobachevsky State University of Nizhny Novgorod (UNN), Nizhny Novgorod, Russian Federation
perova_vi@mail.ru

ORCID id: not available

Perova N.A. National Research Lobachevsky State University of Nizhny Novgorod (UNN), Nizhny Novgorod, Russian Federation
perova_nadja@mail.ru

ORCID id: not available

Subject The article discusses trends in the development of physical culture and sports in the Russian regions. We analyze the current situation in physical culture and sports, which is indicative of human capital.
Objectives The research analyzes distinctions in the development trends of physical culture and sports in the Russian regions using neural networks. We examine and analyze data on physical culture and sports in the Russian regions as reported by the Ministry of Sports of the Russian Federation in pursuit of longer life expectancy and socio-economic development.
Methods The research is based on the neural network modeling using data on trends in the development of physical culture and sports in the Russian regions within 2012 through 2016. For modeling, we used the Kohonen self-organizing maps of unsupervised learning as part of the Deductor software package.
Results We found what distinguishes the Russian regions’s development in physical culture and sports and illustrate their uneven trend. The regions were grouped into four clusters featuring the stable nucleus of regions. The average development cluster embrace the largest number of regions. The nucleus of the leading regions’ clusters include few representatives.
Conclusions and Relevance Physical culture and sports develop differently in the Russian regions. For strategic planning of the socio-economic development in the Russian regions, comprehensive measured should be undertaken so as to encourage the regions for further development.

Keywords: economic growth, human capital, physical culture, sport, cluster analysis, neural network

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