Survey on technical efficiency in higher education: A meta‐fractional regression analysis

Title
Survey on technical efficiency in higher education: A meta‐fractional regression analysis
Publication Date
2019-08-22
Author(s)
Villano, Renato A
( author )
OrcID: https://orcid.org/0000-0003-2581-6623
Email: rvillan2@une.edu.au
UNE Id une-id:rvillan2
Tran, Carolyn-Dung T T
( author )
OrcID: https://orcid.org/0000-0002-5798-0543
Email: ttran43@une.edu.au
UNE Id une-id:ttran43
Type of document
Journal Article
Language
en
Entity Type
Publication
Publisher
Mathematical Sciences Publishers
Place of publication
Australia
DOI
10.1111/1468-0106.12310
UNE publication id
une:1959.11/27514
Abstract
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.
Link
Citation
Pacific Economic Review, 26(1), p. 110-135
ISSN
1468-0106
1361-374X
Start page
110
End page
135

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