Table 5

Panel regression results for predictors with robust standard errors

Model 1Model 2Model 3Model 4
VariablesESG_perfENV_perfSOC_perfGOV_perf
Independent variable    
%B_GEq0.067 (1.57)0.005 (0.722)0.115 (1.78)*0.039 (1.14)
Control variables    
B_size0.155 (0.877)−0.003 (−0.009)0.398 (1.50)*0.039 (0.27)
B_ind0.008 (0.222)−0.021 (−0.399)−0.037 (−0.70)0.044 (1.57)
CSR_com2.939 (3.733)***0.991 (0.904)0.815 (0.684)0.427 (0.70)
SIZE16.048 (8.66)***4.699 (1.83)*15.778 (5.60)***8.522 (5.97)***
ROE0.137 (2.21)**0.072 (0.833)0.015 (0.160)0.008 (0.192)
LEV−0.635 (−2.70)***0.064 (0.194)−0.245 (−0.69)−0.452 (−2.50)***
Gov_mod0.023 (0.172)0.004 (0.246)0.007 (0.318)0.009 (0.201)
Fixed/random effectsFixedFixedFixedFixed
Adjusted R square0.8520.7780.7070.714
F statistics40.3225.4617.7118.15
Probability<0.01<0.01<0.01<0.01

Notes:

Testing H1 − Percentage 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 percentage 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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