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Bulletin of the State University of Education. Series: Economics

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Proposals for improving the mechanism of regulation of labor migration in the context of digitalization

https://doi.org/10.18384/2949-5024-2025-4-59-71

Abstract

Aim. In this economic study, the authors examine the correlation between labor migration processes and indicators of tourist demand, which have undergone changes under the influence of the pandemic, based on previous periods and predicting future trends in the tourism industry.

Methodology. In their study, the authors used an intersectoral approach in unrelated industries as the main method, which can reveal hidden factors that influence the regulation of labor migration.

Results. The study revealed that labor and tourism flows, although they may seem different, are closely interconnected and can influence each other. The main difference lies in the purpose of the movement: labor flows are driven by job search and worker mobility, while tourism flows are related to leisure, recreation, or business travel. However, tourism flows can stimulate labor migration, and employment in a region can attract tourists.

Research implications. The study proposes the use of econometric models of tourist demand to determine additional labor flows and their application in improving the digital mechanism for regulating labor migration. In the sectoral aspect, the search for a target category of labor resources in industrial and environmental tourism can be considered.

About the Authors

A. Zheltenkov
Federal State University of Education
Russian Federation

Alexander V. Zheltenkov (Moscow) – Dr. Sci. (Economics), Prof., Public Procurement, Management and Public Administration Department



L. Mikhailova
Moscow Aviation Institute (National Research University)
Russian Federation

Lubov V. Mikhailova (Moscow) – Cand. Sci. (Economics), Assoc. Prof., Management and Marketing of High-Tech Industries of the Industry Department



T. Eremicheva
Novgorod State University
Russian Federation

Tatiana V. Eremicheva (Moscow) – Postgraduate Student, Regional Economy Department



References

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