Indicators of the labor potential quality of the Russian regions population

IF 1.5 4区 社会学 Q2 DEMOGRAPHY Population Pub Date : 2023-12-15 DOI:10.19181/population.2023.26.4.10
M. Toksanbaeva, Raisa Popova
{"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":null,"pages":null},"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.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
俄罗斯地区人口劳动潜力质量指标
对俄罗斯各地区人口劳动潜能质量指标的研究是更广泛的地区间人类潜能质量研究的一部分。劳动潜能只是人类潜能的组成部分之一,因此,研究的目的是确定劳动潜能最具代表性的质量特征。在此基础上,可以解决构建适当指标的问题。在劳动潜能的各个组成部分中,智力部分或智力潜能被选为最具代表性的部分。文章从理论和方法上对这一潜能的特征和指标进行了论证。文章认为,劳动潜能智力部分的主要特征是反映工作复杂性的雇员资格,补充特征是与资格相协调的专业教育水平。由于就业人口的资格结构各不相同,因此提出了三个等级类别:熟练工人、高技能工人和超级技能工人。基本信息来自俄罗斯统计局公布的一些信息来源。在计算指标时,这些类别雇员的数量与劳动力或就业人口的数量相关联。为进行地区间初步分析,选择了指标值最高和最低的五个地区。使用非正规部门就业和失业指标检查了技术工人和高技能工人指标的正确性。由于信息不足,超熟练工人的指标未列入核查范围。尽管存在各种局限性,但通过分析,可以明确技术工人类别指标的构建,并为进一步对人口的智力潜能进行因子研究勾勒出一些方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Population
Population DEMOGRAPHY-
CiteScore
2.00
自引率
0.00%
发文量
10
期刊最新文献
External labor migration in modern Russia: socio-legal and criminological contexts Family potential as a component of the human potential of Russian regions Seminar «Formation of an system assessment of nursing personnel qualification» Labor immigration and labor market in modern Russia: interaction problems Methodology for assessing demographic well-being of the Northern regions of the resource type
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1