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Balance Technologies for Calculating and Predictive Estimation of Labor Resources for Regional Socio-Economic Systems

https://doi.org/10.22394/1726-1139-2022-4-35-43

Abstract

The article analyzes the institutional and technological features of the calculus (representation) and predictive assessment of the balance of labor resources for regional economic systems.

The review is carried out in the general context of the particular tasks of developing egional strategies: goal-setting, analysis and forecasting.

The theoretical and practical experience of the laboratory of mathematical methods of data analysis of IPRE RAS and St. Petersburg EMI RAS (until 2018) in the framework of the direction “Economic and mathematical methods for state regulation of socially oriented economies at the regional level within the framework of innovative development models” is presented.

About the Authors

V. A. Kurzenev
Russian Presidential Academy of National Economy and Public Administration (North-West Institute of Management, Branch of RANEPA); Institute for Regional Economic Studies Russian Academy of Sciences
Russian Federation

Vladimir A. Kurzenev, Professor of the North-West Institute of Management of RANEPA, Chief Researcher of Institute for Regional Economic Studies Russian Academy, Doctor of Science (Engineering), Professor

St. Petersburg



V. T. Perekrest
Institute for Regional Economic Studies Russian Academy of Sciences
Russian Federation

Vladimir T. Perekrest, Head of laboratory, Doctor of Science (Physics and Mathematics)

St. Petersburg



I. V. Perekrest
Institute for Regional Economic Studies Russian Academy of Sciences
Russian Federation

Igor V. Perekrest, Senior Researcher

St. Petersburg



References

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For citations:


Kurzenev V.A., Perekrest V.T., Perekrest I.V. Balance Technologies for Calculating and Predictive Estimation of Labor Resources for Regional Socio-Economic Systems. Administrative Consulting. 2022;(4):35-43. (In Russ.) https://doi.org/10.22394/1726-1139-2022-4-35-43

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ISSN 1726-1139 (Print)
ISSN 1816-8590 (Online)