CEU Electronic Theses and Dissertations, 2022
| Author | 加賀谷 賢一 |
|---|---|
| Title | Data Envelopment Analysis Of Higher Education Public Expenditure Efficiency: A Systematic Review |
| Summary | This current study provides the first systematic review in the literature applying Data Envelopment Analysis (DEA) to measure the efficiency of public spending on Higher Education (HE). First, this paper explores different concepts of efficiency and DEA’s history, assumptions, types, and advantages /disadvantages regarding its application in HE. Next, it looks at past systematic reviews on institutional-level DEA studies and concludes that none of them measures efficiency in HE at the national level. Afterward, based on a systematic review of 11 national-level DEA studies published between 2005 and 2019, it documents the overview of used variables, techniques, challenges, and results. The findings reveal that the selected studies face a lack of consensus regarding variables and methodological difficulties, which causes biases in their results. Finally, it offers a conceptual framework and recommendations to help researchers and policymakers mitigate the biases and better measure, interpret, and improve the national-level efficiency in higher education. |
| Supervisor | Orosz, Kata |
| Department | Public Policy MA |
| Full text | https://www.etd.ceu.edu/2022/kagatani_kenichi.pdf |
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