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The Relationship between Labor Productivity and Salary Return: An Empirical Analysis on Russian Regional Data

https://doi.org/10.33293/1609-1442-2022-3(98)-26-37

Abstract

The article deals with dynamics and differentiation of labor productivity and salary return in the Russian Federation in the period 2012–2020, as well as the relationship between these indicators. The study is based on Russian regional data published by Rosstat in the Unified Interdepartmental Information and Statistical System (EMISS). The theoretical section of the article discusses the mechanisms responsible for the dynamics of labor productivity and salary return, as well as for the correlation between these indicators, including technological development, the sectoral structure of the regional economy and local labor market characteristics. Calculations have shown that both labor productivity and salary return in the regions of Russia in the period under review have positive dynamics and significant regional variation. However, most of this variation is due to the presence of four regions in which the studied indicators show levels several times higher than the values in the bulk of the regions: Nenets Autonomous Okrug, Yamalo-Nenets Autonomous Okrug, Khanty-Mansi Autonomous Okrug, Sakhalin Oblast. In our opinion, the leadership of these regions is due to the predominance of the extractive industry in their sectoral structure, characterized by a high level of capital intensity and a low level of labor intensity. The analysis of the number of employed and the number of hours worked shows a negative trend and a significant variation by region, which can serve as a factor of high interregional differentiation of labor productivity and salary return. Correlation analysis of the average over the period of labor productivity and salary return indicates the absence of a significant relationship between the studied indicators when excluding atypical observations from the analysis.

About the Authors

Marina V. Frants
Institute of social and economic researches at Ufa Federal Research Center, the Russian Academy of Science, Ufa
Russian Federation


Ekaterina V. Potapseva
Institute of Economics, Ural Branch of the Russian Academy of Science, Еkaterinburg


References

1. Alferova T. V., Tretyakova E. A. (2018). Determination of trends in the socio-economic development of the economy of the Perm Region. Perm National Research Politech. University. Bulletin of Sociology and Economics, no. 2, pp. 137–146 (in Russian). DOI: 10.15593/2224-9354/2018.2.14

2. Baev L. A., Dzenzelyuk N. S., Kochegarova L. G. (2019). Assessment of the quality of socio-economic development of the Chelyabinsk region. Bulletin of South Ural State University. Series “Economics and Management”, no. 3, pp. 14–22 (in Russian). DOI: 10.14529/em190302

3. Vinokurov E.F. (2021). Wage dynamics and economic growth: Russian realities. Economics of Contemporary Russia, no. 4, pp. 68–77 (in Russian). DOI: 10.33293/1609-1442-2021-4(95)-68-77

4. Voskoboynikov I. B., Gimpelson V. E. (2015). Productivity growth, structural shifts and informal employment in the Russian economy. Voprosy Ekonomiki, no. 11, pp. 30–61 (in Russian).

5. Volkova N.N., Romanyuk E. I., Frenkel A. A. (2020) Comparative analysis of various approaches to measuring labor productivity. Economics of Contemporary Russia, no. 3 (90), pp. 117–131 (in Russian). DOI: 10.33293/1609-1442-2020-3(90)-117-131

6. Zimnyakova T. S. (2021). Factors of labor productivity of resource and “non-resource” regions. Management Issues, no. 2 (69), pp. 47–60 (in Russian). DOI: 10.22394/2304-3369-2021-2-47-60

7. Kireev V. E. (2017). Productivity, Profitability and Labour Intensity: Russia and OECD Countries. Bulletin of Ural Federal University. Series Economics and Management, vol. 16, no. 2, pp. 308–326 (in Russian). DOI: 10.15826/vestnik.2017.16.2.016

8. Lobanova V. A., Trofimova N. V. (2015). Labor productivity dynamics: calculation and features in the regions. News of the Saratov University. New series. Economics. Management. Law, no. 2, pp. 125–131 (in Russian).

9. Merkulova E.Yu. (2019). The impact of labor productivity on the economic growth of Russian regions. Scientific Works of the Free Economic Society of Russia (VEO of Russia), no. 4, pp. 544–551 (in Russian).

10. Rastvortseva S. N. (2018). Labor productivity and capital equipment in ensuring economic growth of Russian regions. Social Area, no. 1 (13), pp. 1 (in Russian). DOI: 10.15838/sa/2018.1.13.1

11. Samusenko S. A. (2021). Econometric analysis of labor productivity growth factors at the country and regional level. Ekonomika Truda (Journal of Labor Economics), no. 8, pp. 763–784 (in Russian). DOI: 10.18334/et.8.8.112834

12. Spasskaya N. V., Kireev V. E. (2015). Investment aspects of increasing labor productivity in the regions of Russia. Regional Economics: Theory and Practice, no. 39 (414), pp. 17–29 (in Russian).

13. Sun P., Ushakova E. V., Borisova T. A. (2022). Regional socio-economic development in the Northwestern Federal District in the context of the COVID‑19 pandemic: economic potential assessment. Economics and Management, no. 28 (1), pp. 42–51 (in Russian). DOI: 10.35854/1998-1627-2022-1-42-51

14. Topuzov N. K., Oreshkina N. S. (2015). The influence of factors of resource and organizational equipment of workplaces in the processes of labor productivity growth. Bulletin of High Educational Institutions. Ural Region, no. 1, pp. 36–40 (in Russian).

15. Chekmarev O. P. (2015). Motivation of Employees' Productivity: Factors of Staff Deficit, Size and Wage Differences. Proceedings (Izvestiya) Saint-Petersburg State Agrarian University, no. 38 (in Russian).


Review

For citations:


Frants M.V., Potapseva E.V. The Relationship between Labor Productivity and Salary Return: An Empirical Analysis on Russian Regional Data. Economics of Contemporary Russia. 2022;(3):26-37. (In Russ.) https://doi.org/10.33293/1609-1442-2022-3(98)-26-37

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