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Bulletin of the State University of Education. Series: Economics

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Transformation of the regional labor market of the Smolensk region: economic and statistical analysis and forecast until 2030

https://doi.org/10.18384/2949-5024-2025-4-109-127

Abstract

Aim. To carry out a comprehensive analysis of the factors affecting the state of the regional labor market (using the example of the Smolensk Region) in order to form a forecast for its transformation until 2030, as well as to assess current government support measures aimed at minimizing possible risks of increasing staff shortages and supply and demand imbalances for certain types of economic (labor) activities.

Methodology. The methodology is defined by the integrated use of general scientific methods, qualitative and quantitative research methods, as well as the method of modeling and forecasting.

Results. The study identified current trends and challenges and formulated forecasts for the transformation of the regional labor market (using the example of the Smolensk Region), which allowed for a more comprehensive understanding of its current state and potential for further development.

Research implications. The theoretical significance of the project is to substantiate the impact of socio-economic and demographic factors, as well as the process of digital transformation of the economy on the current state and transformation of the labor market. The practical significance lies in the formation of a forecast for the transformation of the Smolensk Region’s labor market until 2030, which can be used in the development of regional socio-economic development programs.

About the Authors

E. Shvets
Federal State Statistics Service of the Smolensk Region
Russian Federation

Ekaterina A. Shvets (Smolensk) – Economist of the 1st Category at the Territorial Body



S. Shcherbakova
Smolensk State University; Sevastopol State University
Russian Federation

Svetlana A. Shcherbakova (Smolensk) – Cand. Sci. (Geography), Assoc. Prof., Assoc. Prof. Department of Geography; Assoс. Prof. Department of Tourism, Service, and Hotel Business



References

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ISSN 2949-5040 (Print)
ISSN 2949-5024 (Online)