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Assessment of the Labor Potential of the Stavropol Region

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Digital Economy and the New Labor Market: Jobs, Competences and Innovative HR Technologies (IPM 2020)

Abstract

The research purpose is assessing the labor potential of the Stavropol region based on a special methodology. The following components were identified as structural elements of the labor potential: demographic; economic; educational and qualification; psychophysiological; innovative. When calculating the labor potential, the following indicators were used: the total birth rate; the total mortality rate; the coefficient of migration growth (retirement) of the population; the ratio of marriages and divorces; age dependency ratio; employment rate (%), unemployment rate (by ILO methodology, %), labour productivity index, population with money incomes below the subsistence minimum in percentage of the total population, the average monthly nominal wage per employee in the full range of organizations (ruble); life expectancy at birth (years), availability of hospital beds (per 10 thousand people of the population), the provision of population with medical workers (per 10 thousand people of the population), expenditures of the consolidated budgets of the regions of the Russian Federation on healthcare (million rubles); the number of organizations performing R&D, the number of personnel engaged in R&D, internal R&D costs, the innovative activity of organizations and the volume of innovative goods, works, services, etc. The main sources of analysis were official statistic data.

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Acknowledgements

The study was conducted within the framework of the RFBR project no. 18-010-00887A “Comprehensive assessment of the impact of youth migration on the labor market of the border regions of the North Caucasus”.

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Correspondence to A. Yu. Lukhyanova .

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Lukhyanova, A.Y., Fedorova, S.A., Prostyakov, A.A. (2021). Assessment of the Labor Potential of the Stavropol Region. In: Ashmarina, S.I., Mantulenko, V.V. (eds) Digital Economy and the New Labor Market: Jobs, Competences and Innovative HR Technologies. IPM 2020. Lecture Notes in Networks and Systems, vol 161. Springer, Cham. https://doi.org/10.1007/978-3-030-60926-9_6

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  • DOI: https://doi.org/10.1007/978-3-030-60926-9_6

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