Development of a Methodology to Assess the Regional Labor Potential in Modern Russia

Author:

Abstract

The article presents the results of the development of a methodology for assessing the structural structure of the labor potential of a region and its role in socio-economic development, territorial and environmental features of labor resources and mechanisms of reproduction of labor potential. The development of the methodology was based on a conceptual and methodological review of foreign and domestic scientific sources. Promising markers of labor resources in foreign science have been identified, which are manifested in the assessment of migration risks, the impact of globalization factors, forecasting the dependence of labor productivity at the regional level on market factors, climatic conditions, insurance mechanisms, etc. A high level of scientists' interest in the problem of labor potential on micro-, meso and macro levels in Russia. The authors pay special attention to the assessment of existing approaches to the methods for assessing the labor potential of the region proposed by domestic researchers and applied in the Russian Federation; The features of the main methodological approaches are evaluated; their classification is given, as well as the technology for conducting the assessment, depending on the research tasks of scientists. The article describes the methodology developed by the authors for measuring the labor potential of the region based on the index method, which allows taking into account the specific conditions of its reproduction and use at the regional level, as well as conducting reasonable comparative assessments. The calculations are presented according to the proposed methodology of the state and level of development of labor potential for the regions of the North Caucasus and Southern Federal Districts and the Russian Federation as a whole.

Publisher

Blue Eyes Intelligence Engineering and Sciences Engineering and Sciences Publication - BEIESP

Subject

Electrical and Electronic Engineering,Mechanics of Materials,Civil and Structural Engineering,General Computer Science

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Human Resource Management in the Digital Transformation;Approaches to Global Sustainability, Markets, and Governance;2023

2. Assessment of the Labor Potential of the Stavropol Region;Digital Economy and the New Labor Market: Jobs, Competences and Innovative HR Technologies;2020-10-18

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