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Investigating the technical efficiency of Japanese national universities following corporatization: a two-stage data envelopment analysis approach
International Journal of Educational Management ( IF 2.4 ) Pub Date : 2021-07-26 , DOI: 10.1108/ijem-10-2020-0456
Khanh Quoc Thai 1 , Masayoshi Noguchi 1
Affiliation  

Purpose

The purpose of this study is to measure the technical efficiency of Japanese national universities over the period 2010–2016. In addition, the authors also sought to identify the determinants of efficiency, especially those amenable to public policy intervention.

Design/methodology/approach

First, the authors ran a global intertemporal data envelopment analysis to understand the trends in efficiency for national universities over the relevant period. Following this, the authors conducted a second-stage regression using a double-bootstrapped truncated regression model to identify the possible determinants of efficiency.

Findings

The authors found no evidence to suggest that technical efficiency of national universities systematically decreased or increased in response to either structural reform or a reduction to government grants. Moreover, the share of government grants, the size of universities and disciplines of study offered by the universities were statistically significant determinants of efficiency.

Practical implications

The study results suggest that efficacious public policy remedies might include inter alia measures to reduce the reliance on public funding, efforts to attract more foreign students, the execution of mergers among small universities and consolidation of inefficient departments.

Originality/value

This research fills an important gap in the scholarly literature with respect to Japanese national universities and identifies possible determinants to efficiency, which are amenable to remedial public policy interventions.



中文翻译:

企业化后日本国立大学的技术效率调查:两阶段数据包络分析法

目的

本研究的目的是衡量日本国立大学在 2010-2016 年期间的技术效率。此外,作者还试图确定效率的决定因素,尤其是那些适合公共政策干预的因素。

设计/方法/方法

首先,作者进行了全球跨期数据包络分析,以了解相关时期国立大学的效率趋势。在此之后,作者使用双引导截断回归模型进行了第二阶段回归,以确定效率的可能决定因素。

发现

作者没有发现任何证据表明国立大学的技术效率因结构改革或政府拨款减少而系统性地降低或提高。此外,政府拨款的份额、大学的规模和大学提供的研究学科在统计上是效率的重要决定因素。

实际影响

研究结果表明,有效的公共政策补救措施可能包括减少对公共资金依赖的措施、吸引更多外国学生的努力、小型大学之间的合并以及低效率部门的合并。

原创性/价值

这项研究填补了与日本国立大学相关的学术文献中的一个重要空白,并确定了影响效率的可能决定因素,这些因素适用于补救性公共政策干预。

更新日期:2021-07-26
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