Table 5

The impacts of intellectual capital on bank performance (Using System GMM)

VariablesModel-1Model-2
CoefficientRobust S.E.CoefficientRobust S.E.
ROAt−10.19*0.0900.17**0.086
VAIC0.011**0.005
CEE0.227***0.066
HCE0.0010.001
SCE0.0060.007
CAR0.049***0.0110.024*0.012
BS−0.021*0.011−0.019*0.010
NPLTL−0.027**0.012−0.029**0.013
CINEFF−0.028***0.006−0.016**0.008
IDIV0.015***0.0040.0070.005
LEV−0.036***0.010−0.0120.012
GDP0.008***0.0010.012**0.006
INF−0.0010.001−0.0070.008
F-Test244.78***415.16***
Hansen Test1P = 0.139P = 0.179
AR(1)2Z = −4.02P = 0.000Z = −3.99P = 0.000
AR(2)3Z = 0.27P = 0.68Z = 0.24P = 0.72
No. of instruments1113
Observations286286

Note(s): A two-step system GMM dynamic panel estimators is the estimation technique. The dependent variable is bank performance measured by ROA. *, ** and *** denote significance at 10%, 5% and 1% levels, respectively. 1Test of overidentifying restrictions (Ho: overidentifying restrictions are valid). The tests accept the null hypothesis that overidentifying restrictions are valid. 2Arellano-Bond test for the first-order autocorrelation (Ho: no autocorrelation). 3Arellano-Bond test for the second-order autocorrelation (Ho: no autocorrelation). The AR(1) and AR(2) test findings show that autocorrelation exists in the first-order but not in the second-order. All variables are winsorised at the 5% level

Source(s): Table created by authors

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