Econometric Analysis of Factors of Labor Productivity Growth in Constituent Entities of the Russian Federation
https://doi.org/10.34023/2313-6383-2021-28-2-80-89
Abstract
In the current context of recovery growth in Russia, the urgent task of identifying factors of growth of labor productivity can be solved using econometric methods. Preliminary examination of interregional comparative analysis of dynamics of this crucial economic efficiency index, in the author’s opinion, showed low information content of this approach due to the presence of a low base effect. The author recommends a more realistic approach to the interregional comparative analysis of the labor productivity dynamics and its growth factors on the basisof econometric panel data models.
It was revealed that for the period 2010–2018, the growth of labor productivity in the regions of the Russian Federation strongly correlated with dynamic characteristics of industrial production, real wages and physical volume of investments in fixed assets, growth intensity in the share of added value of high-tech and knowledge-intensive industries in GRP. It has been empirically proven that the growth of labor productivity in the regions in the considered interval correlates with a decrease in the number of employees. In addition, an increase in labor productivity is typical for constituent entities of the Russian Federation with high rates of industrial production.
The influence of the structure of employed in the economy on the level of education on the growth of labor productivity has not been established, which may indicate the presence of inefficient jobs. Also, the hypothesis that the export-oriented regions of the Russian Federation are highly productive has not been confirmed.
In conclusion, taking into account the results of modeling, the author formulated recommendations adjusting focal points of structural changes in the economy, which could boost labor productivity growth.
About the Author
E. A. Gafarova
Ufa State Petroleum Technological University
Russian Federation
Russian Federation
Elena A. Gafarova – Cand. Sci. (Econ.), Docent, Department of Corporate Finance and Accounting Technologies
1, Kosmonavtov St., Ufa, 450064
References
1. Gagarina G.Yu. et al. Regional Aspect of the Analysis of Labor Productivity as an Indicator of the Effectiveness of the Russian Economy. Regional Economics and Management: Electronic Scientific Journal. 2019;3(59). (In Russ.) Available from: https://eee-region.ru/article/5910/.
2. Trubin V. et al. Labor Efficiency in the Russian Federation. Social Bulletin. June 2017. Iss. 9. 41 p. (In Russ.)Available from: https://ac.gov.ru/archive/files/publication/a/13612.pdf.
3. Averina T.N. et al. Labor Productivity Factors in the Region. Russian Journal of Economic Theory. 2020;17(1):225–229. (In Russ.) Available from: https://doi.org/10.31063/2073-6517/2020.17-1.18.
4. Burtseva T.A. Econometric Models of Regional Labor Productivity. Voprosy Statistiki. 2017;(3):30–36. (In Russ.)
5. Rukobratsky P. Analysis of Factors for Increasing Labor Productivity in the Russian Economy. Bulletin of the Expert Council. 2019;2(17):94–105. (In Russ.)
6. Basovskiy L.E., Basovskaya E.N., Averina T.N. On the Impact of New Technologies on Labor Productivity in the Regions of Modern Russia. Journal of Economic Studies. 2019;5(4):26–31. (In Russ.)
7. Mirolyubova T.V. Labor Productivity in Russian Regions: Spatial Aspects and Interrelation with Information Resources. Perm University Herald. ECONOMY. 2016;3(30):120–131. (In Russ.)
8. Komarova A.S. The Volga Federal District: Influence of Human Capital on Labor Productivity. Regional Economics: Theory and Practice. 2015;13(15):23–30. (In Russ.)
9. Rusanovskiy V.A., Markov V.A. Factor of Urbanization in Spatial Models of Their Economic Growth: Estimate and Peculiarities in Russian Federation. Tambov University Review. Series: Humanities. 2015;7(147):113–124. (In Russ.)
10. Azorin J., Vega M. Human Capital Effects on Labor Productivity in EU Regions. Applied Economics. 2015;47(45):4814-4828. Available from: https://doi.org/10.1080/00036846.2015.1037434.
11. Vieira E., Vazquez-Rozas E., Neira I. The Innovation Factor: An Econometric Model of Productivity European Regions. Regional and Sectoral Economic Studies. 2008;8(1):59–70.
12. Naveed A., Ahmad N. Labor Productivity Convergence and Structural Changes: Simultaneous Analysis at Country, Regional and Industry Levels. Journal of Economic Structures. 2016;(5):19. Available from: https://doi.org/10.1186/s40008-016-0050-y.
13. Cainelli G., Leoncini R., Montini A. Spatial Knowledge Spillovers and Regional Productivity Growth in Europe. Revue d’Économie Régionale & Urbaine. 2007;2(juillet):201–221. Available from: https://doi.org/10.3917/reru.072.0201.
14. Verbeek M. Panel Data Models. Applied Econometrics. 2006;1(1):94–135. (In Russ.)
15. Karlova N., Puzanova E., Bogachyova I. Industrial Sector Productivity: Growth Drivers. Analytic Note. Moscow: Central Bank of the Russian Federation; 2019. 27 p. (In Russ.) Available from: https://cbr.ru/Content/Document/File/90569/analytic_note_20191125_dip.pdf.
16. Uskova T.V. Labor Productivity Growth as the Strategic Goal of the Region. Economic and Social Changes: Facts, Trends, Forecast. 2008;4(4):15–26. (In Russ.)
Review
For citations:
Gafarova E.A. Econometric Analysis of Factors of Labor Productivity Growth in Constituent Entities of the Russian Federation. Voprosy statistiki. 2021;28(2):80-89. (In Russ.) https://doi.org/10.34023/2313-6383-2021-28-2-80-89
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