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Malmquist indexes using a geometric distance function (GDF)

2004Documento de conferência Acesso aberto
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dc.contributor.authorPortela, Maria
dc.contributor.authorThanassoulls, Emmanuel
dc.date.accessioned2011-09-08T11:01:38Z
dc.date.available2011-09-08T11:01:38Z
dc.date.issued2004
dc.description.abstractTraditional approaches to calculate anal factor pmthwtivity change through Malmquist indexes rely on distance fin chaos. In this paper we show that the use of distance Junctions as a means to calculate total factor productivity change 'nth, introduce some bias in the analysis. and tnerefire tee propose a procedure that calculates total factor productivity change through observed values only. Our total factor productivity change is then decomposed into efficiency change, technological change, and a residual effimt. This decomposition makes use of a non-oriented measure in (E yler to avoid problems associated with the traditional use of radial oriented measures. especially when variable returns to seale technologies are to be compared.por
dc.identifier.citationPORTELA, Maria; THANASSOULIS, Emmanuel - Malmquist indexes using a geometric distance function (GDF). In 4th International Symposium On DEA: Data Envelopment Analysis And Performance Management, Birmingham, United Kingdom, 5-6 September, 2004. – In [Proceedings of the] Data Envelopment Analysis and Performance Management. Aston Business School, 2004. p. 231-238por
dc.identifier.urihttp://hdl.handle.net/10400.14/5284
dc.language.isoengpor
dc.peerreviewedyespor
dc.publisherAston Business Schoolpor
dc.titleMalmquist indexes using a geometric distance function (GDF)por
dc.typeconference object
dspace.entity.typePublication
rcaap.rightsopenAccesspor
rcaap.typeconferenceObjectpor

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