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Abstract(s)
Traditional 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.
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Citation
PORTELA, 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. 231-238
Publisher
Aston Business School