TY - GEN
T1 - Malmquist indexes using a geometric distance function (GDF)
AU - Portela, Maria C.A.S.
AU - Thanassoulis, Emmanuel
PY - 2004/9
Y1 - 2004/9
N2 - Traditional approaches to calculate total factor productivity change through Malmquist indexes rely on distance functions. In this paper we show that the use of distance functions as a means to calculate total factor productivity change may introduce some bias in the analysis, and therefore we 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 effect. This decomposition makes use of a non-oriented measure in order to avoid problems associated with the traditional use of radial oriented measures, especially when variable returns to scale technologies are to be compared.
AB - Traditional approaches to calculate total factor productivity change through Malmquist indexes rely on distance functions. In this paper we show that the use of distance functions as a means to calculate total factor productivity change may introduce some bias in the analysis, and therefore we 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 effect. This decomposition makes use of a non-oriented measure in order to avoid problems associated with the traditional use of radial oriented measures, especially when variable returns to scale technologies are to be compared.
UR - http://deazone.com/en/deabook-deabook2004
M3 - Conference publication
SN - 0-90268-373-X
SP - 231
EP - 238
BT - Data envelopment analysis and performance management
A2 - Emrouznejad, Ali
A2 - Podinovski, Victor
PB - Warwick University
T2 - 4th International Symposium of DEA : Data Envelopment Analysis and Performance Management
Y2 - 5 September 2004 through 6 September 2004
ER -