Table 6

Panel regression results for predictors with robust standard errors

Model 1Model 2Model 3Model 4
VariablesESG_perfENV_perfSOC_perfGOV_perf
Independent variables    
nB_GEq1.84 (1.95)2.116 (1.64)1.724 (1.32)0.783 (0.82)
Control variables    
B_size0.134 (0.76)−0.023 (−0.19)0.467 (1.382)0.027 (0.22)
B_ind0.009 (0.25)−0.011 (−0.23)−0.037 (−0.66)0.043 (1.63)
CSR_com3.189 (4.15)***1.177 (1.09)1.339 (1.05)0.567 (0.94)
SIZE16.355 (9.20)***4.523 (1.85)*16.724 (6.20)***8.873 (6.47)**
ROE0.245 (2.14)**0.076 (0.93)0.027 (0.25)0.014 (0.28)
LEV−0.651 (−2.76)***0.049 (0.12)−0.217 (−0.73)−0.459 (−2.53)**
Goc_mod0.008 (0.212)0.006 (0.144)0.005 (0.104)0.008 (0.114)
Fixed/random effectsFixedFixedFixedFixed
Adjusted R square0.8730.8140.7530.754
F statistics40.5025.5917.6718.13
Probability<0.01<0.01<0.01<0.01

Notes:

Testing H2 − number 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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