Multidimensional Assessment of the Labour Market in the Regions of the Russian Federation

Guzel Salimova (), Alisa Ableeva, Rasul Gusmanov, Gulnara Nigmatullina and Tatyana Lubova
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Guzel Salimova: Federal State Budgetary Educational Establishment of Higher Education “Bashkir State Agrarian University”
Alisa Ableeva: Federal State Budgetary Educational Establishment of Higher Education “Bashkir State Agrarian University”
Rasul Gusmanov: Federal State Budgetary Educational Establishment of Higher Education “Bashkir State Agrarian University”
Gulnara Nigmatullina: Federal State Budgetary Educational Establishment of Higher Education “Bashkir State Agrarian University”
Tatyana Lubova: Federal State Budgetary Educational Establishment of Higher Education “Bashkir State Agrarian University”

The Indian Journal of Labour Economics, 2024, vol. 67, issue 2, No 13, 547-569

Abstract: Abstract Although labour markets show resilience, they still experience a decrease in labour productivity and, consequently, the level of socioeconomic development and living standards of the population. In practise, multidimensional analysis methods and their visualisation are relevant for the further development of the labour market and research in this field. This study aims to identify the main dependencies in labour market and develop recommendations for the integrated regional development. The research methodology includes cluster analysis and multiple correlation and regression analysis. The information array is presented with data on 31 regions of the Russian Federation for 2018–2022. The novelty of the research lies in the combination of static and dynamic analysis and informative visualisation of the results. A specific system of indicators helped to analyse the labour market in modern conditions, ongoing changes in the economy, and the impact on social life. The regions were divided into 4 clusters. The proposed development scenarios differed depending on the level of development in each region. The second stage was the analysis of the relationship between the employment rate and a set of exogenous variables. The results confirm that the influence of wages and investments on the employment rate has decreased, and the influence of social guarantees has increased. This study assesses the potential of the regions to improve the employment rate and the quality of life; the discovered patterns make it possible to develop actions that promote sustainable socioeconomic development.

Keywords: Labour force; Age composition; Population income; Production; Social development; Personnel training; Innovative development (search for similar items in EconPapers)
JEL-codes: F16 R23 (search for similar items in EconPapers)
Date: 2024
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DOI: 10.1007/s41027-024-00500-w

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