俄罗斯地区人口劳动潜力质量指标

IF 1.5 4区 社会学 Q2 DEMOGRAPHY
M. Toksanbaeva, Raisa Popova
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引用次数: 0

摘要

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。
Indicators of the labor potential quality of the Russian regions population
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.
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来源期刊
Population
Population DEMOGRAPHY-
CiteScore
2.00
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