Author
Listed:
- Marina V. Frants
- Ekaterina V. Potapseva
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.
Suggested Citation
Marina V. Frants & Ekaterina V. Potapseva, 2022.
"The Relationship between Labor Productivity and Salary Return: An Empirical Analysis on Russian Regional Data,"
Economics of Contemporary Russia, Regional Public Organization for Assistance to the Development of Institutions of the Department of Economics of the Russian Academy of Sciences, issue 3.
Handle:
RePEc:ack:journl:y:2022:id:791
DOI: 10.33293/1609-1442-2022-3(98)-26-37
Download full text from publisher
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ack:journl:y:2022:id:791. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
We have no bibliographic references for this item. You can help adding them by using this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Ð ÐµÐ´Ð°ÐºÑ†Ð¸Ñ (email available below). General contact details of provider: .
Please note that corrections may take a couple of weeks to filter through
the various RePEc services.