Education Performance of Czech Public Higher Education Institutions Using Data Envelopment and Panel Regression Analysis

Pub Date : 2023-12-31 DOI:10.7160/eriesj.2023.160405
Jana Hančlová, Lucie Chytilová
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Abstract

The priority goals of the development of Czech higher education include ensuring the quality of its activities, improving the availability and relevance of flexible forms of education, and increasing efficiency in teaching and research. Several professional articles evaluated educational efficiency, but the proposed models did not include unemployed graduate students. The paper assesses education efficiency at public universities in the Czech Republic in 2020-2021 using an extended Data envelopment model with undesirable outputs, non-proportional and non-radial measures of distance from the efficient frontier. The influence of selected economic, social, regional and institutional factors on education efficiency is estimated by a panel regression model using the Feasible generalized least squares method. The results document the level and development of education efficiency and find insufficient reduction of unemployed graduates as a critical problem of inefficiency. More prominent universities achieve higher education efficiency. The main statistically significant factors influencing changes in education efficiency are population density, the unemployment rate, the location of the university in larger urban centres and the number of students per university employee.
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利用数据包络和面板回归分析法分析捷克公立高等教育机构的教育绩效
捷克高等教育发展的优先目标包括:确保教育活动的质量,提高灵活教育形式的可 用性和实用性,以及提高教学和研究的效率。一些专业文章对教育效率进行了评估,但所提出的模式并不包括失业的研究生。本文采用扩展的数据包络模型,对 2020-2021 年捷克共和国公立大学的教育效率进行了评估,该模型包含不良产出、非比例和非径向衡量与有效前沿的距离。利用可行的广义最小二乘法,通过面板回归模型估算了选定的经济、社会、地区和机构因素对教育效率的影响。结果记录了教育效率的水平和发展,发现未就业毕业生减少不足是效率低下的一个关键问题。比较突出的大学实现了更高的教育效率。在统计学上,影响教育效率变化的主要因素是人口密度、失业率、大学在较大城市中心的位置以及每名大学员工的学生人数。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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