Table 6

Regression analysis (EU)

VariablesModel 1AY = COMPModel 2AY = RESP_INNModel 3AY = ORG_SUPPModel 4AY = COMPModel 5AY = COMPModel 1BY = COMPModel 2BY = RESP_INNModel 3BY = ORG_SUPPModel 4BY = COMPModel 5B Y = COMP
RES_AV0.27*** (0.03)1.09*** (0.10)0.22*** (0.01)0.16*** (0.04)0.21*** (0.05)
INN_CAP0.27*** (0.02)0.92*** (0.07)0.15*** (0.01)0.20*** (0.03)0.23*** (0.03)
RESP_INN0.11*** (0.02)0.07*** (0.02)
ORG_SUPP0.30* (0.18)0.25** (0.13)
CEO_AGE−3.23 (2.04)11.83** (5.33)−0.01 (0.92)−4–56** (1.79)−3.22 (1.99)−2.21 (1.77)14.90** (6.26)0.17 (1.22)−3.23** (1.62)−2.25 (1.68)
CEO_EXP0.06 (1.26)−15.94*** (4.60)1.37** (0.68)1.86 (1.21)−0.35 (1.28)0.18 (1.17)−15.34*** (4.68)1.61* (0.89)1.22 (1.17)0.22 (1.12)
CEO_GENDER−3.45 (2.30)6.86 (9.05)−3.11** (1.47)−4.23** (2.06)−2.51 (2.16)−2.37 (2.07)10.87 (7.70)−2.27 (1.62)−3.11 (1.99)−1.80 (1.94)
FIRM_SIZE−0.66 (1.02)3.62 (3.36)1.20 (0.58)−1.07 (0.99)−1.03 (1.06)−0.01 (0.94)6.42** (3.32)2.04*** (0.67)−0.45 (0.94)0.52 (0.98)
SECTOR−2.63 (2.52)2.57 (8.55)1.19 (1.43)−2.92 (2.23)−2.99 (2.54)−1.35 (2.34)6.39 (8.28)1.40 (1.66)−1.79 (2.22)−1.71 (2.35)
MARKET−4.91* (2.56)−16.30* (8.64)−2.89* (1.54)−3.07 (2.38)−4.03 (2.62)−3.65 (2.30)−12.33 (7.83)−2.53 (1.78)−2.80 (2.22)−3.02 (2.22)
Constant42.49** (7.94)23.80*** (23.80)4.06 (4.66)34.83*** (7.02)41.27*** (7.78)28.66*** (7.46)25.93 (22.17)1.30 (5.66)26.88*** (7.01)28.34*** (7.34)
No. of obs.150150150150150150150150150150
F-statistics19.73***24.65***54.71***23.36***18.16***27.96***33.88***21.81***27.66***25.46***
R20.440.490.630.520.460.560.560.480.590.58
Mean VIF1.151.151.151.381.551.151.151.151.451.35
Note(s):

The standard errors in parentheses are robust to heteroskedasticity and autocorrelation; latent variables have undergone a transformation process via the Box–Cox technique

Significance levels: *p < 0.10; **p < 0.05; ***p < 0.01

Source(s): Authors’ elaboration using Stata® software

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