Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/6137
Full metadata record
DC FieldValueLanguage
dc.contributor.authorBattese, George Edwarden
dc.contributor.authorRao, Dodla Saien
dc.contributor.authorO'Donnell, Christopher Johnen
dc.date.accessioned2010-06-02T16:30:00Z-
dc.date.issued2004-
dc.identifier.citationJournal of Productivity Analysis, 21(1), p. 91-103en
dc.identifier.issn1573-0441en
dc.identifier.issn0895-562Xen
dc.identifier.urihttps://hdl.handle.net/1959.11/6137-
dc.description.abstractThis paper presents a metafrontier production function model for firms in different groups having different technologies. The metafrontier model enables the calculation of comparable technical efficiencies for firms operating under different technologies. The model also enables the technology gaps to be estimated for firms under different technologies relative to the potential technology available to the industry as a whole. The metafrontier model is applied in the analysis of panel data on garment firms in five different regions of Indonesia, assuming that the regional stochastic frontier production function models have technical inefficiency effects with the time-varying structure proposed by Battese and Coelli (1992).en
dc.languageenen
dc.publisherKluwer Academic Publishersen
dc.relation.ispartofJournal of Productivity Analysisen
dc.titleA Metafrontier Production Function for Estimation of Technical Efficiencies and Technology Gaps for Firms Operating Under Different Technologiesen
dc.typeJournal Articleen
dc.identifier.doi10.1023/B:PROD.0000012454.06094.29en
dc.subject.keywordsEconometric and Statistical Methodsen
local.contributor.firstnameGeorge Edwarden
local.contributor.firstnameDodla Saien
local.contributor.firstnameChristopher Johnen
local.subject.for2008140302 Econometric and Statistical Methodsen
local.subject.seo2008910404 Productivity (excl. Public Sector)en
local.profile.schoolUNE Business Schoolen
local.profile.schoolSchool of Business, Economics and Public Policyen
local.profile.schoolSchool of Business, Economics and Public Policyen
local.profile.emailgbattese@une.edu.auen
local.profile.emaildrao@une.edu.auen
local.profile.emailcodonnel@une.edu.auen
local.output.categoryC1en
local.record.placeauen
local.record.institutionUniversity of New Englanden
local.identifier.epublicationsrecordpes:1544en
local.publisher.placeDordrecht, Netherlandsen
local.format.startpage91en
local.format.endpage103en
local.identifier.scopusid3843061345en
local.peerreviewedYesen
local.identifier.volume21en
local.identifier.issue1en
local.contributor.lastnameBatteseen
local.contributor.lastnameRaoen
local.contributor.lastnameO'Donnellen
dc.identifier.staffune-id:gbatteseen
dc.identifier.staffune-id:draoen
dc.identifier.staffune-id:codonnelen
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.identifier.unepublicationidune:6294en
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
local.title.maintitleA Metafrontier Production Function for Estimation of Technical Efficiencies and Technology Gaps for Firms Operating Under Different Technologiesen
local.output.categorydescriptionC1 Refereed Article in a Scholarly Journalen
local.search.authorBattese, George Edwarden
local.search.authorRao, Dodla Saien
local.search.authorO'Donnell, Christopher Johnen
local.uneassociationUnknownen
local.year.published2004en
Appears in Collections:Journal Article
Files in This Item:
2 files
File Description SizeFormat 
Show simple item record

SCOPUSTM   
Citations

883
checked on Mar 9, 2024

Page view(s)

1,088
checked on Mar 9, 2023

Download(s)

2
checked on Mar 9, 2023
Google Media

Google ScholarTM

Check

Altmetric


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