Table 7

Panel regression results for predictors with robust standard errors

Model 1Model 2Model 3Model 4
VariablesESG_perfENV_perfSOC_perfGOV_perf
Independent variables    
massB_GEq1.76 (1.72)**2.328 (1.51)1.960 (1.32)0.594 (0.74)
Control variables    
B_size0.154 (0.74)−0.024 (−0.09)0.367 (1.382)0.027 (0.22)
B_ind0.009 (0.22)−0.022 (−0.43)−0.042 (−0.68)0.044 (1.63)
CSR_com3.188 (4.15)***1.178 (1.09)1.238 (1.09)0.569 (0.94)
SIZE16.369 (9.20)***4.522 (1.84)*16.714 (6.22)***8.873 (6.47)***
ROE0.115 (2.34)**0.076 (0.94)0.027 (0.25)0.014 (0.28)
LEV−0.651 (−2.76)***0.050 (0.18)−0.257 (−0.73)−0.459 (−2.53)***
Goc_mod0.009 (0.213)0.007 (0.145)0.005 (0.104)0.008 (0.114)
Fixed/random effectsFixedFixedFixedFixed
Adjusted R square0.8740.8110.7540.753
F statistics40.5225.4917.6618.13
Probability<0.01<0.01<0.01<0.01

Notes:

Testing H2 − Critical mass of women on BoD;

N = 72 (number of European banks). ƩiTi.N = 504 (number of bank-year observations). t-statistics are shown in parenthesis. The robust standard errors of the estimated coefficients are clustered at the bank level. *, ** and ***denote level of significance at the 0.10, 0.05 and 0.01 levels, respectively;

Model 1, Model 2, Model 3 and Model 4 correlate the number of women on BoD (dependent variable) to the comprehensive ESG scoring, the environmental scoring, the social scoring and the governance scoring, respectively

Source: Table created by authors

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