Estimating return rate of higher education fund in Russia
Abstract
Currently, the Russian government pays great attention to the field of higher and postgraduate education. But in the Russian scientific literature there are gaps related to the effectiveness of theoverall evaluation of the higher education sector. The article dwells upon the problem of interregional income spread of the Russian population. Empirical estimator of difference influence accounting for human capital accumulated in Russian regions on wage levels and maximum increase of total wage levels and population income for 2001–2011 is carried out. Higher education, exceeding the influence of accumulated volume of the main funds, has a great influence on income spread in Russian regions. Besides, increase of higher education fund in Russian regions contributes to the population’s wage increase and growth in income, but at the same time it decreases legal wages. Results of the study extend knowledge of the economics of education of the Russian Federation.
About the Authors
V. A. SemenikhinaRussian Federation
I. N. Karelin
Russian Federation
A. V. Koritskii
Russian Federation
References
1. Hall R. E., Jones C. I. Why do Some Countries Produce So Much More Output per Worker than Others? Quarterly Journal of Economics, 1999, no. 114, p. 83–116.
2. Gundlach E., Rudman D., Woessman L. Second Thoughts on Development Accounting. Applied Economic, 2002, no. 34, p. 1359–1369.
3. Caselli F. Accounting for Cross-Country Income Differences. Handbook of Economic Growth, 2005.
4. Klenow P., Rodrigues-Clare A. The Neoclassical Revival in Growth Economics: Has It Gone Too Far? NBER Macroeconomics Annual, 1997, no. 12, p. 73–103.
5. Mankiw N. G., Romer D., Weil D. N. A Contribution to the Empirics of Growth. Quarterly Journal of Economics, 1992, no. 107, p. 408–437.
6. Barro R., Sala-i-Martin X. Economic Growth. New York, McGraw-Hill, 1995.
7. Yong Alwyn. The Tyranny of Numbers. Confronting the Statistical Realities of the East Asian Growth Experience. Quarterly Journal of Economics, 1995, no. 110, p. 641–680.
8. Aiello F., Scoppa V. Uneven Regional Development in Italy: Explaining Differences in Productivity Levels. Giornale degli Economisti e Annali di Economia, 2000, no. 60, p. 270–298.
9. Di Liberto A., Mura R., Pigliar F. How to Measure the Unobservable. A Panel Technique for the Analysis of TFP Convergence, Contributi di Ricerca CRENOS. University of Cagliari, 2004.
10. Marrocu E., Paci R., Pala R. Estimation of Total Factor Productivity for Regions and Sectors in Italy: A Panel Cointegration Approach. Rivista Internazionale di Scienze Economiche e Commerciali, 2001, no. 48, p. 533–558.
11. Breinlich H., Ottaviano G. I. P., Temple J. R. W. Regional Growth and Decline. CEP Discussion Paper, 2013, no. 1332.
12. Scoppa V. The Quantity of Human and Physical Capital Technological Gaps among Italian Regions. Regional Studies, 2007, no. 41 (5), p. 585–599.
13. Koritskii A. V. Chelovecheskii kapital kak factor ekonomicheskogo rosta regionov Rossii
14. [Human Capital as a Factor of Economic Growth among Russian Regions]. Novosibirsk, 2010. 368 p. (In Russ.)
15. Babkina A. V. (ed.) Razvitie innovatsionnoii ekonomiki: teoriia i praktika [Development of the Innovational Economics]. St.-Petersburg, Politechnical University Publ., 2012, 484 p. (In Russ.)
Review
For citations:
Semenikhina V.A., Karelin I.N., Koritskii A.V. Estimating return rate of higher education fund in Russia. World of Economics and Management. 2014;14(2):38–47. (In Russ.)