There has been remarkable growth in the number of studies using data envelopment analysis (DEA) in research on higher education. Heterogeneous DEA models have been applied in assessing the performance of higher education institutions (HEIs), and the multi‐faceted production process of higher education has further motivated the extension and improvement of the DEA approach. The present study conducts a meta‐regression analysis of 109 published DEA applications in higher education at different levels of analysis to provide a better understanding of the relationship between the efficiency results and the attributes of the studies implemented in different nations.

中文翻译：

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高等教育技术效率调查：元分数回归分析

在高等教育研究中，使用数据包络分析（DEA）进行的研究数量已显着增长。异构DEA模型已用于评估高等教育机构（HEI）的绩效，高等教育的多方面生产过程进一步推动了DEA方法的扩展和改进。本研究对109种已发布的DEA在高等教育中的应用进行了不同层次的荟萃回归分析，以更好地理解效率结果与在不同国家实施的研究的属性之间的关系。