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Measures of Regional Labour Productivity

https://doi.org/10.34023/2313-6383-2021-28-1-18-27

Abstract

In this article, in the form of publication, are presented key study findings that cover both methodological issues of measurement and comprehensive analysis of regional labor productivity, along with extended formulations of study results. Based on the experience of domestic and foreign statisticians, the author substantiates the system of regional labour productivity indicators required for its integrated assessment. In the author’s opinion, this system is needed in a formation of a single coordinated approach to the calculation of labour productivity from the perspective of branches, enterprises, and constituent entities of the Russian Federation.

The introduction argues for the relevance of the issues related to measuring regional labour productivity, which is necessary to evaluate the progress of the Federal Project “Systemic Measures to Improve Labor Productivity” implemented under the national project “Labor Productivity and Employment Support”.

The author justifies the solution to the problem of clustering regions by regional labour productivity indicator using a combined approach, which explains the trends in the economic development of the regions of Russia in the selected clusters.

The final part of the article concludes that the study is relevant in assessing the factors of regional labour productivity needed to identify growth reserves or to prevent stagnation in economic development, measured, in particular, by means of a basic indicator of the economic production efficiency in constituent entities of the Russian Federation.

About the Author

T. A. Burtseva
Russian Technological University (MIREA)
Russian Federation

Tatiana A. Burtseva - Dr. Sci. (Econ.), Professor; Department of Statistics

78, Vernadsky Av., Moscow, 119454



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Review

For citations:


Burtseva T.A. Measures of Regional Labour Productivity. Voprosy statistiki. 2021;28(1):18-27. (In Russ.) https://doi.org/10.34023/2313-6383-2021-28-1-18-27

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ISSN 2313-6383 (Print)
ISSN 2658-5499 (Online)