Statistical Assessment of The Development of Digital Skills of The Employed Population in The Russian Federation

IF 7.6 1区 经济学 Q1 ECONOMICS Review of Economics and Statistics Pub Date : 2022-06-28 DOI:10.21686/2500-3925-2022-3-25-38
P. E. Prokhorov
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引用次数: 1

Abstract

Quantitative measurement of the competencies of the employed population in the use of modern technologies makes it possible to characterize the resources for the development of the digital economy and the factors for the spread of digital innovations in the economic activities of enterprises in terms of the quality of human capital. Many empirical studies and analytical reports characterize digital skills using measures of the number of specialists in the field of information and communication technologies. However, this approach is limited, since the spread of digital business models and the introduction of technologies in all areas of the economy have increased the skill complexity of work in a wide range of occupations. Now, the personnel of the digital economy can be considered not only ICT specialists, but also those employees who intensively use computer and computing equipment and software systems.Purpose of the study. The purpose of this study is to develop a methodology for quantifying the skills of using digital technologies among the employed population based on official statistical methodology, testing it on real data, as well as analyzing trends in the development of digital skills in recent years, including for various socio-economic and demographic categories of the employed population.Materials and methods. To achieve this goal, international and domestic experience in building summary indicators of competencies necessary for the operation of computer equipment and work with standard and specialized programs and applications was studied. A comparative analysis of such approaches has been carried out. The index method was used to calculate the digital skills indicator. Grouping methods, tabular and graphical methods, dynamics analysis methods, distribution variation analysis methods were used to form summary results and analyze them.The information source of the study was microdata from sample surveys of the Federal State Statistics Service. The indicators are presented in the annual frequency for 2016-2020 for the Russian Federation.Results. The advantages and disadvantages of digital skills assessment approaches were identified. A methodology has been developed for calculating the weighted average level of digital skills of the employed population. The calculation was carried out using this method based on the microdata of sample surveys for 2020. The changes that have taken place in the distribution of employees by levels of digital skills have been studied. The dynamics of the level of digital skills is analyzed, including by age groups, professional groups and types of economic activity.Conclusion. The results of the analysis of the development of digital skills can be used in studies on modeling the relationship between the level of user competencies of personnel in the digital environment and the development of the digital economy in order to study the features and patterns of digital transformation of economic activity in the Russian Federation in a deeper and more comprehensive way.
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俄罗斯联邦就业人口数字技能发展的统计评估
对就业人口在使用现代技术方面的能力进行定量测量,可以从人力资本质量的角度描述数字经济发展的资源和企业经济活动中数字创新传播的因素。许多实证研究和分析报告使用信息和通信技术领域专家数量的度量来描述数字技能。然而,这种方法是有限的,因为数字商业模式的传播和技术在经济各个领域的引入增加了各种职业工作的技能复杂性。现在,数字经济人员不仅可以被认为是信息通信技术专家,还可以被认为是那些大量使用计算机和计算设备和软件系统的员工。研究目的:本研究的目的是根据官方统计方法,开发一种量化就业人口使用数字技术技能的方法,用实际数据进行测试,并分析近年来数字技能发展的趋势,包括就业人口的各种社会经济和人口类别。材料和方法。为了实现这一目标,研究了国际和国内在建立计算机设备操作和标准和专门程序和应用程序工作所需的能力摘要指标方面的经验。对这些方法进行了比较分析。采用指数法计算数字技能指标。采用分组法、表格图解法、动态分析方法、分布变异分析方法,形成汇总结果并进行分析。这项研究的资料来源是联邦国家统计局抽样调查的微观数据。这些指标以俄罗斯联邦2016-2020年的年度频率呈现。确定了数字技能评估方法的优缺点。已经开发了一种计算就业人口数字技能加权平均水平的方法。根据2020年抽样调查的微观数据,采用该方法进行计算。我们研究了不同数字技能水平的员工分布发生的变化。分析了数字技能水平的动态变化,包括按年龄组、专业群体和经济活动类型划分。数字技能发展分析的结果可用于研究数字环境中人员的用户能力水平与数字经济发展之间的关系建模,以便更深入、更全面地研究俄罗斯联邦经济活动数字化转型的特征和模式。
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来源期刊
CiteScore
8.50
自引率
0.00%
发文量
175
期刊介绍: The Review of Economics and Statistics is a 100-year-old general journal of applied (especially quantitative) economics. Edited at the Harvard Kennedy School, the Review has published some of the most important articles in empirical economics.
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