基于动态矩阵模型的俄罗斯高校创新潜力与人力资本开发研究

Viktor V. Kovelskiy, Elena P. Rostova
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引用次数: 0

摘要

本文讨论了作者评估俄罗斯大学创新潜力和人力资本的方法,并考察了它们之间的关系和相互影响的存在。位于俄罗斯不同地区的16所国立研究型大学被选中进行分析:莫斯科和圣彼得堡的大学以及地区大学被包括在分析中。评估是根据俄罗斯联邦科学和高等教育部监测中的10项指标进行的。所考虑的指标分为创新潜力和人力资本两组。所提出的方法是基于计算被分析大学在R5空间中的笛卡尔距离。利用获得的创新潜力空间和人力资本空间的距离值,对2018年至2022年5年间所研究的高校进行了比较分析。对所考虑的俄罗斯大学的指标值的动态进行比较,可以确定最重要的指标,即对大学发展影响最大的指标。还对所考虑的大学动态指标进行了比较分析,结果为在制定所考虑的指标方面落后的一些大学的发展提出了建议。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
STUDY OF THE DEVELOPMENT OF INNOVATIVE POTENTIAL AND HUMAN CAPITAL OF RUSSIAN UNIVERSITIES USING A DYNAMIC MATRIX MODEL
The article discusses the author’s methodology for assessing the innovative potential and human capital of Russian universities, and also examines their relationship and the presence of mutual influence. 16 national research universities located in different regions of Russia were selected for analysis: universities in Moscow and St. Petersburg and regional universities are included in the analysis. The assessment is carried out according to 10 indicators present in the monitoring of the Ministry of Science and Higher Education of the Russian Federation. The indicators under consideration are divided into groups characterizing innovation potential and human capital. The proposed methodology is based on calculating the Cartesian distance for the analyzed universities in the R5 space. Using the obtained distance values in the space characterizing innovation potential and in the space characterizing human capital, the article carried out a comparative analysis of the universities under study over five years: from 2018 to 2022. Comparison of the dynamics of the indicator values of the Russian universities under consideration made it possible to identify the most significant indicators, i.e. having the greatest impact on the development of the university. A comparative analysis of the considered indicators of universities in dynamics was also carried out, as a result of which recommendations were formulated for the development of some universities that are lagging behind in the development of the indicators under consideration.
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