ECONOMETRIC MODELS OF REGIONAL LABOUR PRODUCTIVITY
Abstract
The author substantiates relevant statistically significant factors of regional labour productivity growth: availability of production means to the regional economy, investment and innovative potential of the region, investment policy of the region. Due to this, the article proposes a set of independent variables and testes econometric models of regional labour productivity based on current statistical information about the development of Russian regions, which allowed for measuring growth reserves of work productivity in Russia and providing recommendations on their optimization.
The article reflects author’s ideas on development and justification of recommendations for optimizing state investments distribution in order to invest in the most successful (in terms of the increase of the number of highly productive jobs) regions and their influence on growth of regional labour productivity.
The author concludes that to increase labour productivity in the regions of Russia, it is necessary to ensure wage growth in education and utilities. An important task for the development of Russia’s regional economy is the growth in the number of highly productive jobs in mining, public administration, and financial services.
Keywords
References
1. Dirks S., Keeling M. Russia’s productivity imperative. Leveraging technology and innovation to drive growth. IBM Global business services strategy and change executive report. Available at: http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.207.5072&rep=repl&type=pdf (accessed 09.08.2015).
2. DrzeniekM.H., PrazdichnykhA. (eds.). The Russia competitiveness report 2011. Laying the foundation for sustainable prosperity. Available at: http://www3.weforum.org/docs/WEF_GCR_Russia_Report_2011.pdf (accessed 09.08.2015).
3. Bakatina D. et al. Lean Russia: Sustaining economy growth through improved productivity. McKinsey Global Institute, 2009. Available at: file: http://www.mckinsey.com/global-themes/employment-and-growth/lean-russia-sustainmg-economic-growth (accessed 09.02.2015).
4. Yal’tsev S.Y. Proizvoditel’nost’ truda. Prosto о prostom [Labour productivity. Just a simple]. Problems of modern science and education, 2012, no. 9 (9), pp. 6-16. (In Russ.).
5. Gunina I. A. К voprosu о metodakh otsenki i faktorakh rosta proizvoditel’nosti truda [On the problem of assessment methods and productivity growth factors]. Organizer of production, 2015, no.l (64), pp. 18-24. (In Russ.).
6. Suvorov У.У., Timarsueva М.У. [Institutional environment as a condition for effective management of the process of improving productivity]. Lnzhenemye innovatsii i ekonomika promyshlennosti. Trudy nauchno-prakticheskoi konferentsii s mezhdunarodnym uchastiem [Engineering innovation and industrial economics. Proc. Sci.-Pract. Conf. with Int. participation], St. Petersburg, 2015. P. 11-28. (In Russ.).
7. Garetskii S.P. [Correlation methods in labour productivity analysis], Matematicheskaya statistika. Т. VII. [Mathematical statistics, vol. VII]. Moscow, USSR Academy of Sciences, 1962. (In Russ.).
8. Mortensen D.T., Pissarides Ch.A. Job creation and job destruction hi the theory of unemployment. The Review of Economic Studies, 1994, vol. 61, no. 3, pp. 397-415.
9. Ngai R.L., Pissarides Ch.A. Structural change in a multi-sector model of growth. Available at: http://epriiits.lse.ac.uk/4468/1/Stmctural_Change_in_a_Multi- Sector_Model_of_Growth.pdf.
Review
For citations:
Burtseva T.A. ECONOMETRIC MODELS OF REGIONAL LABOUR PRODUCTIVITY. Voprosy statistiki. 2017;(3):30-36. (In Russ.)