{"title":"Indicators of the labor potential quality of the Russian regions population","authors":"M. Toksanbaeva, Raisa Popova","doi":"10.19181/population.2023.26.4.10","DOIUrl":null,"url":null,"abstract":"The study of indicators of the labor potential quality of the population in Russian regions is part of a larger interregional research on the human potential quality. Labor potential is only one of the components of human potential, therefore, the purpose is to identify the most representative qualitative characteristics of labor potential. On this basis, the problems of constructing appropriate indicators can be solved. The intellectual component or intellectual potential is selected among the components of labor potential as the most representative. The characteristics and indicators of this potential are given a theoretical and methodological substantiation. The article argues that the main characteristic of the intellectual component of labor potential is qualification of employees reflecting complexity of their work, and the complementary characteristic is the level of professional education coordinated with qualification. Since the qualification structure of the employed population is heterogeneous, three ranked categories are proposed: skilled, highly skilled and superskilled workers. The basic information is taken from a number of information sources published by Rosstat. When calculating the indicators, the number of these categories of employees was correlated with the number of either the labor force or the employed population. For preliminary interregional analysis, five regions with the highest and lowest values of indicators were selected. Correctness of the indicators for skilled and highly skilled workers was checked using indicators of employment in the informal sector and unemployment. The indicator for superskilled workers was excluded from the verification due to insufficient information. Despite all limitations, the analysis made it possible to clarify the construction of indicator for the category of skilled workers and outline some approaches to further factorial research on the intellectual potential of the population.","PeriodicalId":47095,"journal":{"name":"Population","volume":"91 3","pages":""},"PeriodicalIF":1.5000,"publicationDate":"2023-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Population","FirstCategoryId":"90","ListUrlMain":"https://doi.org/10.19181/population.2023.26.4.10","RegionNum":4,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"DEMOGRAPHY","Score":null,"Total":0}
引用次数: 0
Abstract
The study of indicators of the labor potential quality of the population in Russian regions is part of a larger interregional research on the human potential quality. Labor potential is only one of the components of human potential, therefore, the purpose is to identify the most representative qualitative characteristics of labor potential. On this basis, the problems of constructing appropriate indicators can be solved. The intellectual component or intellectual potential is selected among the components of labor potential as the most representative. The characteristics and indicators of this potential are given a theoretical and methodological substantiation. The article argues that the main characteristic of the intellectual component of labor potential is qualification of employees reflecting complexity of their work, and the complementary characteristic is the level of professional education coordinated with qualification. Since the qualification structure of the employed population is heterogeneous, three ranked categories are proposed: skilled, highly skilled and superskilled workers. The basic information is taken from a number of information sources published by Rosstat. When calculating the indicators, the number of these categories of employees was correlated with the number of either the labor force or the employed population. For preliminary interregional analysis, five regions with the highest and lowest values of indicators were selected. Correctness of the indicators for skilled and highly skilled workers was checked using indicators of employment in the informal sector and unemployment. The indicator for superskilled workers was excluded from the verification due to insufficient information. Despite all limitations, the analysis made it possible to clarify the construction of indicator for the category of skilled workers and outline some approaches to further factorial research on the intellectual potential of the population.