Perova V.I.National Research Lobachevsky State University of Nizhny Novgorod (UNN), Nizhny Novgorod, Russian Federation email@example.com ORCID id: not available
Perova N.A.National Research Lobachevsky State University of Nizhny Novgorod (UNN), Nizhny Novgorod, Russian Federation firstname.lastname@example.org 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.
Makarov V.L. Stanovlenie ekonomiki znanii v Rossii i mire. V kn.: Ekonomika znanii. Ch. 1: kollektivnaya monografiya [The origination of the knowledge economy in Russia and worldwide. In: Knowledge economy. Part 1: a collective monograph]. Moscow, INFRA-M Publ., 2008, pp. 34–44.
Makarov V.L. [The knowledge economy: Lessons for Russia]. Vestnik Rossiiskoi akademii nauk = Bulletin of the Russian Academy of Sciences, 2003, vol. 73, no. 5, pp. 450–456. (In Russ.)
Kleiner G.B., Mishurov S.S., Erznkyan B.A. et al. Innovatsionnoe razvitie regiona: potentsial, instituty, mekhanizmy: monografiya [The innovative development of the region: The potential, institutions, mechanisms: a monograph]. Ivanovo, Ivanovo State University Publ., 2011, 198 p.
Filin S.A. Mekhanizm realizatsii innovatsionnoi politiki: monografiya [The mechanism for implementing the innovative policy: a monograph]. Moscow, Rospatent Publ., 2005, 286 p.
Endovitskii D.A., Komendenko S.N. Organizatsiya analiza i kontrolya innovatsionnoi deyatel'nosti khozyaistvuyushchego sub"ekta [Arranging for the analysis and control of the business entity’s innovative activities]. Moscow, Finansy i Statistika Publ., 2004, 272 p.
Trofimov O.V. [The formation of effective innovative strategies: Issues and solutions]. Ekonomicheskie nauki = Economic Science, 2010, no. 9, pp. 71–75. (In Russ.)
Gorbunova M.L., Elizarova N.K. [Analysis of development of the Nizhny Novgorod region innovation system]. Vestnik Nizhegorodskogo gosuniversiteta im. N.I. Lobachevskogo = Vestnik of Lobachevsky University of Nizhny Novgorod, 2012, no. 2-2, pp. 42–46. URL: Link (In Russ.)
Perova V.I., Zaitseva K.V. [Researching the trends in innovation activity of Russian regions using the neural simulation]. Ekonomicheskii analiz: teoriya i praktika = Economic Analysis: Theory and Practice, 2017, vol. 16, iss. 5, pp. 887–901. URL: Link (In Russ.)
Barro R.J., Sala-i-Martin X. Economic Growth. MIT Press, 2004, 672 p.
Quah D. Empirics for Growth and Distribution: Stratification, Polarization, and Convergence Clubs. JournalofEconomicGrowth, 1997, vol. 2, iss. 1, pp. 27–59. URL: Link
Kuznetsov Yu.A. [Human capital, productivity and economic growth]. Ekonomicheskii analiz: teoriya i praktika = Economic Analysis: Theory and Practice, 2012, no. 43, pp. 2–14. URL: Link (In Russ.)
Lavrov E.I., Lavrova L.A. [Human capital as a factor of economic growth]. Vestnik Omskogo universiteta. Ser. Ekonomika = Herald of Omsk University. Series Economics, 2006, no. 2, pp. 63–69. URL: Link (In Russ.)
Becker G.S. Human Capital: A Theoretical and Empirical Analysis, with Special Reference to Education. Columbia University Press, 1964, pp. 94–144.
Benhabib J., Spiegel M.M. The Role of Human Capital in Economic Development: Evidence from Aggregate Cross-Country Data. Journal of Monetary Economics, 1994, vol. 34, no. 2, pp. 143–173.
Soboleva I.V. Chelovecheskii potentsial rossiiskoi ekonomiki: problemy sokhraneniya i razvitiya [Human potential of the Russian economy: Issues of its preservation and development]. Moscow, Nauka Publ., 2007, 201 p.
Lesgaft P.F. Izbrannye trudy [Selected works]. Moscow, Fizkul'tura i sport Publ., 1987, 359 p.
Vikulov S.F., Khrustalev S.Yu. [Economic bases of Russia's military security]. Natsional'nye interesy: prioritety i bezopasnost' = National Interests: Priorities and Security, 2014, no. 7, pp. 2–9. URL: Link (In Russ.)
Granberg A.G., Shul'bert B.M., Kichedzhi V.N. et al. Strategii makroregionov Rossii: metodologicheskie podkhody, prioritety, mekhanizmy realizatsii [Strategies of the Russian macroregions: Methodological approaches, priorities, implementation mechanisms]. Moscow, Nauka Publ., 2004, 720 p.
Perova V.I., Neznakomtseva O.Yu. [Research into the dynamics of social and economic development of the Russian Federation regions]. Vestnik Nizhegorodskogo universiteta im. N.I. Lobachevskogo. Ser. Sotsial'nye nauki = Vestnik of Lobachevsky State University of Nizhny Novgorod. Series Social Sciences, 2016, no. 4, pp. 44–51. URL: Link (In Russ.)
Kendall M.G. Vremennye ryady [Time Series]. Moscow, Finansy i Statistika Publ., 1981, 198 p.
Shchetinin E.Yu. [On the methods of evaluating the long memory of the financial time series]. Finansovaya analitika: problemy i resheniya = Financial Analytics: Problems and Solutions, 2010, vol. 3, iss. 13, pp. 39–45. URL: Link (In Russ.)
Ryzhikov Yu.I. Imitatsionnoe modelirovanie. Teoriya i tekhnologii [Simulation modeling. Theory and techniques]. Moscow, Al'teks-A Publ., 2004, 384 p.
Lazarev V.M., Sviridov A.P. Neiroseti i neirokomp'yutery: monografiya [Neural networks and neurocomputers: a monograph]. Moscow, Akademiya Publ., 2011, 131 p.
Khrustalev E.Yu., Shramko O.G. [Using the neural network method to forecast investment efficiency]. Ekonomicheskii analiz: teoriya i praktika = Economic Analysis: Theory and Practice, 2017, vol. 16, iss. 8, pp. 1438–1454. (In Russ.) URL: Link
Osovskii S. Neironnye seti dlya obrabotki informatsii [Neural networks for data processing]. Moscow, Finansy i Statistika Publ., 2002, 344 p.
Haykin S. Neironnye seti: polnyi kurs [Neural Networks: A Comprehensive Foundation]. Moscow, Vil'yams Publ., 2006, 1104 p.
Schmidhuber J. Deep Learning in Neural Networks: An Overview. Neural Networks, 2015, vol. 61, pp. 85–117. URL: Link
Deboeck G., Kohonen T. Analiz finansovykh dannykh s pomoshch'yu samoorganizuyushchikhsya kart [Visual Explorations in Finance with Self-Organizing Maps]. Moscow, Al'pina Publ., 2001, 317 p.
Kohonen Т. Self-Organized Formation of Topologically Correct Feature Maps. Biological Cybernetics, 1982, vol. 43, iss. 1, pp. 59–69. URL: Link
Kohonen T. The Self-Organizing Map. Proceedings of the Institute of Electrical and Electronics Engineers, 1990, vol. 78, iss. 9, pp. 1464–1480. URL: Link
Tavan P., Grubmüller H., Kühnel H. Self-Organization of Associative Memory and Pattern Classification: Recurrent Signal Processing on Topological Feature Maps. Biological Cybernetics, 1990, vol. 64, iss. 2, pp. 95–105. URL: Link
Hajek P., Henriques R., Hajkova V. Visualising Components of Regional Innovation Systems Using Self-Organizing Maps – Evidence from European Regions. Technological Forecasting and Social Change, 2014, vol. 84, pp. 197–214. URL: Link
Carboni O.A., Russu P. Assessing Regional Wellbeing in Italy: An Application of Malmquist–DEA and Self-Organizing Map Neural Clustering. Social Indicators Research, 2015, vol. 122, iss. 3, pp. 677–700. URL: Link
Gorbunov S.A., Dubrovskii A.V. [The role of physical culture in improving the mental aptitude for learning and professional performance]. Teoriya i praktika fizicheskoi kul'tury = Theory and Practice of Physical Culture, 2002, no. 12, pp. 13–15. (In Russ.)