Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/27514
Full metadata record
DC FieldValueLanguage
dc.contributor.authorVillano, Renato Aen
dc.contributor.authorTran, Carolyn-Dung T Ten
dc.date.accessioned2019-09-10T05:36:00Z-
dc.date.available2019-09-10T05:36:00Z-
dc.date.issued2019-08-22-
dc.identifier.citationPacific Economic Review, 26(1), p. 110-135en
dc.identifier.issn1468-0106en
dc.identifier.issn1361-374Xen
dc.identifier.urihttps://hdl.handle.net/1959.11/27514-
dc.description.abstractThere 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.en
dc.languageenen
dc.publisherMathematical Sciences Publishersen
dc.relation.ispartofPacific Economic Reviewen
dc.titleSurvey on technical efficiency in higher education: A meta‐fractional regression analysisen
dc.typeJournal Articleen
dc.identifier.doi10.1111/1468-0106.12310en
local.contributor.firstnameRenato Aen
local.contributor.firstnameCarolyn-Dung T Ten
local.subject.for2008140204 Economics of Educationen
local.subject.for2008160506 Education Policyen
local.subject.seo2008910405 Public Sector Productivityen
local.subject.seo2008930401 Management and Leadership of Schools/Institutionsen
local.profile.schoolUNE Business Schoolen
local.profile.schoolUNE Business Schoolen
local.profile.emailrvillan2@une.edu.auen
local.profile.emailttran43@une.edu.auen
local.output.categoryC1en
local.record.placeauen
local.record.institutionUniversity of New Englanden
local.publisher.placeAustraliaen
local.format.startpage110en
local.format.endpage135en
local.identifier.scopusid85071000947en
local.peerreviewedYesen
local.identifier.volume26en
local.identifier.issue1en
local.title.subtitleA meta‐fractional regression analysisen
local.contributor.lastnameVillanoen
local.contributor.lastnameTranen
dc.identifier.staffune-id:rvillan2en
dc.identifier.staffune-id:ttran43en
local.profile.orcid0000-0003-2581-6623en
local.profile.orcid0000-0002-5798-0543en
local.profile.roleauthoren
local.profile.roleauthoren
local.identifier.unepublicationidune:1959.11/27514en
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
local.title.maintitleSurvey on technical efficiency in higher educationen
local.output.categorydescriptionC1 Refereed Article in a Scholarly Journalen
local.search.authorVillano, Renato Aen
local.search.authorTran, Carolyn-Dung T Ten
local.uneassociationYesen
local.atsiresearchNoen
local.sensitive.culturalNoen
local.identifier.wosid000483118800001en
local.year.available2019en
local.year.published2019en
local.fileurl.closedpublishedhttps://rune.une.edu.au/web/retrieve/4075b230-1d80-4944-826e-5d30677a8597en
local.subject.for2020380104 Economics of educationen
local.subject.for2020390201 Education policyen
local.subject.seo2020150305 Public sector productivityen
local.subject.seo2020160204 Management, resources and leadershipen
Appears in Collections:Journal Article
UNE Business School
Files in This Item:
2 files
File Description SizeFormat 
Show simple item record

SCOPUSTM   
Citations

7
checked on Feb 24, 2024

Page view(s)

2,116
checked on Jul 23, 2023

Download(s)

2
checked on Jul 23, 2023
Google Media

Google ScholarTM

Check

Altmetric


Items in Research UNE are protected by copyright, with all rights reserved, unless otherwise indicated.