Strategic directions of regulation of regional labor markets in re-connected territories: cognitive approach

Introduction. Modern economic science is characterized by a diversity of theoretical approaches and methodological tools for studying regional labor markets, which creates methodological heterogeneity and complicates the development of unified models for analysis, forecasting, and decision-making in their management. In the absence of reliable statistical information on the labor market of reunited territories, this issue becomes especially relevant, necessitating the development of new regulatory approaches that ensure both their stability and competitiveness.

The purpose of this study is the development of strategic directions for the regulation of regional labor markets in reunited territories based on a cognitive approach, which allows for consideration of qualitative factors and causal relationships under conditions of incomplete statistical data.

Materials and methods. The methodological basis of the research was the cognitive approach, implemented through simulation modeling methods. For structuring knowledge and analyzing causal relationships, cognitive maps of various levels of detail (weighted directed graphs) were constructed. Scenario modeling was conducted using the GMCS and "Ados-Pro" software systems. Additionally, content analysis of expert surveys and analysis of statistical data were applied.

Results. The article argues that effective regulation of the regional labor markets of reunited territories requires the integrated application of cognitive modeling and traditional analytical methods. The developed methodological toolkit enables the consideration of qualitative factors and the construction of forecasts under conditions of uncertainty. The proposed strategic directions represent a practical mechanism for transitioning from crisis management to strategic development based on the simultaneous enhancement of the stability and competitiveness of regional labor markets.

Conclusions. The article proves that effective regulation of regional labor markets in re-connected territories requires an integrated application of cognitive modelling and traditional methods of analysis. The developed methodological tools allow to take into account qualitative factors and make forecasts in conditions of uncertainty. The proposed strategic directions represent a practical mechanism of transition from crisis management to strategic development based on synchronous increase in resilience and competitiveness of regional labour markets.

1. Zmiyak S.S. Regional Mechanism of State Regulation of the Labor Market: Concept and Directions for Improvement: Doctor of Economic Sciences Dissertation. Vladikavkaz; 2013. 368 p. (In Russ.)

2. Mukhametova A.D. Study of the Balance of Regional Labor Markets. Ufa Humanitarian Scientific Forum. 2024;1(17):199–208. (In Russ.)

3. Khrabrov K.G. Foreign Experience in Forecasting Labor Demand. Professional Education in Russia and Abroad. 2014;1(13):136–139. (In Russ.)

4. Mamleeva E.R., Trofimova N.V., Sazykina M.Yu. Analysis of Regional Labor Markets. PNRPU Sociology and Economics Bulletin. 2022;(2):206–224. (In Russ.)

5. Petrunina O.E. Methodology for Assessing the Efficiency of Regional Labor Market Functioning. Bulletin of the Institute of integrated studies of arid territories. 2010;(2):46–50. (In Russ.)

6. Fomina A.S. Statistical Study of Labor Market Optimality as a Basis for Effective Economic Development of Regions: Candidate of Economic Sciences Dissertation. Saratov; 2015. 193 p. (In Russ.)

7. Agafonov S.M. Methodological Approaches to Assessing the State and Development Potential of the Regional Labor Market. News of Southwest State University. Series "Economics. Sociology. Management." 2018; 8(2(27)):231–238. (In Russ.)

8. Pankin P.V. Regulation of the Labor Market Considering Features of Labor Migration: Candidate of Economic Sciences Dissertation Abstract. Orel; 2018. 31 p. (In Russ.)

9. Tarasyev A.A. Assessment and Forecasting of the Development of the Russian Labor Market under Labor Migration Dynamics: Candidate of Economic Sciences Dissertation. Yekaterinburg; 2020. 261 p. (In Russ.)

10. Anisimova N.Yu., Mitrofanova I.V. Methodology for Assessing the Efficiency of Digital Labor. Economics: Yesterday, Today, Tomorrow. 2020;12(9A):699–710. (In Russ.)

11. Bylkov V.G. Segmentation of the Regional Labor Market by Level of Involvement in the Digital Economy. Labor Economics. 2021;8(5):489–508. (In Russ.)

12. Dashkova E.S., Dorokhova N.V. Regional Labor Market: Research Methodology.Journal of New Economy. 2023;(3):119–135. (In Russ.)

13. Bryukhanova N.V., Sergienko L.S. Methodology for Forming a System for Monitoring and Forecasting the Labor Resources Balance as a Tool for Managing Socio-Economic Development of the Region. Intellectual Resources for Regional Development. 2014;(1):73–79. (In Russ.)

14. Gorelova G.V. Labor Market of Southern Russia, Cognitive Analysis of Development. In: Collection of Papers "System Analysis and Information Technologies": Proceedings of the 14th International Scientific and Technical Conference SAIT 2012. Kyiv: UNK "IPSA" NTUU "KPI"; 2012. P. 44–46. (In Russ.)

15. Gurtov V.A., Averyanov A.O., Korzun D.Zh., Smirnov N.V. Classification System of Technologies in the Field of Artificial Intelligence for Workforce Forecasting. Economic and Social Changes: Facts, Trends, Forecast. 2020;15(3):113–133. (In Russ.)

16. Kalinovskaya I.N. Modern Methods of Collecting and Processing Labor Market Information and Their Use in Human Resource Management Practice. Bulletin of Vitebsk State Technological University. 2024;2(48). P. 82–101. (In Russ.)

17. Granberg A.G. Fundamentals of Regional Economics: Textbook for Universities. Moscow: HSE Publishing; 2003. 492 p. (In Russ.)

18. Gorelova G.V., Zakharova E.N., Radchenko S.A. Study of Weakly Structured Problems of Socio-Economic Systems: Cognitive Approach. Rostov-on-Don: RGU Publishing; 2006. 332 p. (In Russ.)

19. Gorelova G.V., Kalinichenko A.I., Kuzminov A.N. Program for Cognitive Modeling and Analysis of Regional Socio-Economic Systems. State Registration Certificate for Software No. RU 2018661506 dated 07.09.2018. Application No. 2018619390 dated 29.08.2018. (In Russ.)

20. Gorelova G.V., Zakharova E.N., Radchenko S.A. Study of Weakly Structured Problems of Socio-Economic Systems: Cognitive Approach. Rostov-on-Don: RGU Publishing; 2006. 332 p. (In Russ.)