Construction of an Economically Effective System of Target Indicators for the Development of University Research Activities Considering Correlation Dependencies
Construction of an Economically Effective System of Target Indicators for the Development of University Research Activities Considering Correlation Dependencies
复制标题
考虑相关性的大学研究活动发展经济有效的目标指标体系的构建
DOI：
10.21686/2500-3925-2020-4-71-84
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发表时间：
2020
期刊：
影响因子：
--
通讯作者：
D. Gladyrev
中科院分区：
文献类型：
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作者：
D. Sandler;D. Gladyrev
俄罗斯大学的发展计划包含许多不同的目标指标。其中许多指标侧重于研究活动的发展。在发展财政资源有限的情况下，有效的目标指标体系问题非常重要。要构建这样一个目标指标体系，必须满足三个条件：1）这些目标指标之间不相互矛盾; 2）存在对经济指标有积极影响的指标; 3）考虑到研究的主题领域。本研究旨在探讨大学出版活动的主要指标与其他科学计量、社会和结构指标之间的线性相关依赖关系。该研究使用了俄罗斯49所最大的大学4年来的经济，结构和科学计量数据，从监测高等教育机构的表现和SciVal分析工具下载。作为研究的一部分，研究了哪些变量与所采用的科学计量变量相关。由于主要分析涉及大量变量，该表仅包含与所考虑变量相关且相关系数大于0.3模数的变量。结论所获得的结果既可以解决出版物数量和质量同时增加的矛盾，又可以突出科学计量指标与大学经济指标、国际化和入学质量之间的一些联系。这些依赖关系的知识是有用的编制大学发展计划，不包含内部矛盾。所获得的结论使得有可能提高效率的建设系统的大学目标指标的研究领域在三个方面：编制大学发展计划与一致的目标指标，包括指标具有积极影响的经济指标，同时考虑到科学和教育领域的特殊性，在大学运作。
The development programs of Russian universities contain many different target indicators. Many of these indicators are focused on the development of the research activities. In the context of limited financial resources for development, the question of an effective system of target indicators is very important. To construct such a system of target indicators, three conditions must be met: 1) these target indicators do not contradict each other; 2) there are indicators with a positive effect on economic indicators; 3) subject areas are taken into account.The aim of the research. This study is aimed to study linear correlation dependencies between the main indicators measuring the university’s publication activity and other scientometric, social and structural indicators.Materials and methods. The study used economic, structural and scientometric data for 49 largest universities in Russia over 4 years, downloaded from monitoring the performance of educational institutions of higher education and the SciVal analytical tool.Results. As part of the research, it was studied which variables are correlated with the taken scientometric variables. Due to the large number of variables involved in the primary analysis, the table contains only those variables that correlate with the variables under consideration with a correlation coefficient of more than 0.3 modulus.Conclusion. The results obtained allow both to resolve the contradiction of the simultaneous increase in the number and quality of publications, and to highlight a number of links between scientometric indicators and indicators of university economics, internationalization and quality of admission. Knowledge of these dependencies is useful for compiling university development programs that do not contain internal contradictions. The conclusions obtained make it possible to increase the efficiency of construction a system of university target indicators in the research field in three areas: compiling the university development program with consistent target indicators, the inclusion of indicators with a positive impact on economic indicators, taking into account the peculiarities of the field of science and education in which the university operates.