Multi-directional efficiency analysis of efficiency patterns in Chinese banks 1997-2008
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Multi-directional efficiency analysis of efficiency patterns in Chinese banks 1997-2008. / Asmild, Mette; Matthews, Kent.
In: European Journal of Operational Research, Vol. 219, No. 2, 2012, p. 434-441 .Research output: Contribution to journal › Journal article › Research › peer-review
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TY - JOUR
T1 - Multi-directional efficiency analysis of efficiency patterns in Chinese banks 1997-2008
AU - Asmild, Mette
AU - Matthews, Kent
PY - 2012
Y1 - 2012
N2 - DEA-type efficiency studies are often used to investigate levels of efficiencies, differences in those levels between subgroups within a data set and possible determinants of such differences. In the current paper we show how differences in the efficiency patterns between different subgroups within a data set can be investigated using the more recent MEA methodology. We specifically look at the case of Joint Stock Banks and State Owned Banks in China and are able to empirically test hypotheses of whether there are differences not only in the levels but also in the patterns of inefficiencies between the two types of banks that is, which variables the inefficiencies are located on. We argue that certain differences are expected, based on differences in objectives and constraints in the two types of banks and find empirical support for most of those expected patterns.
AB - DEA-type efficiency studies are often used to investigate levels of efficiencies, differences in those levels between subgroups within a data set and possible determinants of such differences. In the current paper we show how differences in the efficiency patterns between different subgroups within a data set can be investigated using the more recent MEA methodology. We specifically look at the case of Joint Stock Banks and State Owned Banks in China and are able to empirically test hypotheses of whether there are differences not only in the levels but also in the patterns of inefficiencies between the two types of banks that is, which variables the inefficiencies are located on. We argue that certain differences are expected, based on differences in objectives and constraints in the two types of banks and find empirical support for most of those expected patterns.
U2 - 10.1016/j.ejor.2012.01.001
DO - 10.1016/j.ejor.2012.01.001
M3 - Journal article
VL - 219
SP - 434
EP - 441
JO - European Journal of Operational Research
JF - European Journal of Operational Research
SN - 0377-2217
IS - 2
ER -
ID: 37461937