Subject The article reviews the dynamics of the regional education development in Russia. Objectives The research identifies the Russian regions with high and low pace of the education development. Methods The research is based on a systems approach and statistical and cluster analysis of the future dynamics of the Russian regional education development. Results We found out that pre-school education, subsequent basic and secondary education are largely accessible for children. We also captured a slow-down in the training of professionals in the highly subsidized regions. There is a positive correlation of high growth rates of alumni who finished their secondary education programs in financially sustainable regions and an excess of teachers with the relevant qualification. Financially sustainable regions are interested in training qualified workers and servants. Teaching capabilities are expected to grow in the regions of the North, Far East and Siberia, pursuing the training under the Bachelor’s, Specialist’s and Master’s programs. Conclusions and Relevance As a result of statistical and cluster analysis, we showed the process of rearranging the Russian regional education in the long run. Financially sustainable regions are expected to seek to train professional workers and specialists, while highly subsidized ones prioritize high education programs. Hence, the latter will be exposed to labor market tensions, while financially sustainable ones will be able to soften them. Regions in the North, Far East and Siberia attract talent by allowing for free higher education, thus dooming themselves to the shortage of high professionals. The findings can be used to formulate and implement the strategy for the Russian regional education development.
Glaz'ev S.Yu., Stepin V.S., Ivakhnenko E.N. et al. [Fundamental academic research of the science potential in the development of the modern world, Russia and Eurasian integration group (on monograph ‘Science, Society, State: History of Interaction, Balance of Interests, Mutual Responsibility, Modern Imperatives’ of the National Institute of Development, Department of Social Sciences RAS)]. Rossiiskii ekonomicheskii zhurnal = Russian Economic Journal, 2017, no. 3, pp. 69–80. (In Russ.)
Ivanter V.V., Belousov D.R., Blokhin A.A. et al. [Structural and investment policy as an instrument for modernizing the Russian economy]. Problemy prognozirovaniya = Problems of Forecasting, 2017, no. 4, pp. 3–16. (In Russ.)
Glaisher J.L. On the Solution of the Equations in the Method of Least Squares. Monthly Notices of the Royal Astronomical Society, 1874, vol. 34, iss. 7, pp. 311–335. URL: Link
Sheppard W.F. Fitting of Polynomial by Method of Least Squares (Solution in Terms of Differences or Sums). Proceedings of the London Mathematical Society, 1914, vol. s2-13, iss. 1, pp. 97–108. URL: Link
Khabaza I.M. An Iterative Least-Square Method Suitable for Solving Large Sparse Matrices. The Computer Journal, 1963, vol. 6, iss. 2, pp. 202–206. URL: Link
Krupkin A.V., Gorodnova N.V. [Factor analysis of the system for managing the Smart City concept projects]. Natsional'nye interesy: prioritety i bezopasnost' = National Interests: Priorities and Security, 2018, vol. 14, iss. 3, pp. 396–410. (In Russ.) URL: Link
Makoveev V.N. [Factor analysis and assessment of the development of innovation activity in manufacturing industry]. Regional'naya ekonomika: teoriya i praktika = Regional Economics: Theory and Practice, 2016, vol. 14, iss. 12, pp. 143–153. URL: Link (In Russ.)
Brookins O.T. Factor Analysis and Gross National Product: A Comment. The Quarterly Journal of Economics, 1970, vol. 84, iss. 4, pp. 648–650. URL: Link
Papanek G.F. Factor Analysis and Growth: An Empirical Test. The Quarterly Journal of Economics, 1971, vol. 85, iss. 3, pp. 508–512. URL: Link
Hiorns R.W. Modern Factor Analysis. The Computer Journal, 1968, vol. 11, iss. 2, p. 219. URL: Link
Pozhidaeva E.S. [Economic and statistical analysis of food staples consumption under foreign trade restrictions]. Ekonomicheskii analiz: teoriya i praktika = Economic Analysis: Theory and Practice, 2017, vol. 16, iss. 1, pp. 116–127. (In Russ.) URL: Link
Dzobelova V.B., Olisaeva A.V. [A statistical analysis of the innovative development of the North Caucasian Federal District regions]. Regional'naya ekonomika: teoriya i praktika = Regional Economics: Theory and Practice, 2017, vol. 15, iss. 2, pp. 355–363. (In Russ.) URL: Link
Antonenko V.V., Karaulova N.M. [A statistical analysis of cross-cut effects of income dependence on the educational level]. Ekonomicheskii analiz: teoriya i praktika = Economic Analysis: Theory and Practice, 2017, vol. 16, iss. 3, pp. 472–487. (In Russ.) URL: Link
Belinskii A.V. [Economic and statistical analysis of the Russian gas distribution sector]. Finansovaya analitika: problemy i resheniya = Financial Analytics: Science and Experience, 2017, vol. 10, iss. 4, pp. 384–402. (In Russ.) URL: Link
Popova G.L. [Depopulation of rural residents in the Tambov oblast: A statistical analysis of trends]. Regional'naya ekonomika: teoriya i praktika = Regional Economics: Theory and Practice, 2017, vol. 15, iss. 8, pp. 1565–1579. (In Russ.) URL: Link
Sorens Ja. The Politics and Economics of Official Ethnic Discrimination: A Global Statistical Analysis, 1950–2003. International Studies Quarterly, 2010, vol. 54, iss. 2, pp. 535–560. URL: Link
Burt O.R., Finley R.M. Statistical Analysis of Identities in Random Variables. American Journal of Agricultural Economics, 1968, vol. 50, iss. 3, pp. 734–744. URL: Link
Simpson K. A Statistical Analysis of the Relation between Cost and Price. The Quarterly Journal of Economics, 1921, vol. 35, iss. 2, pp. 264–287. URL: Link
Waite W.C. ‘Methods of Statistical Analysis in the Social Sciences’. By George R. Davies and Walter F. Crowder. New York: John Wiley and Sons, Inc., 1933, pp. ix–355. American Journal of Agricultural Economics, 1933, vol. 15, iss. 4, p. 745. URL: Link
