Table 3 Impact of CG on IA (Model 1) and... | Emerald Publishing

Table 3

Impact of CG on IA (Model 1) and moderation of VDI on CG_IA relationship (Model 2)

Variables	Model 1: OLS		Model 2: Moderation using bootstrap analysis
Variables	Coeff	p-value	Coeff	p-value	BootLLCI (95%)	BootULCI (95%)
Intercept	−10.54	0.000	−8.824	0.0000	−10.41	−8.350
CGI	1.702	0.007***	1.645	0.0170**	0.3050	2.970
VDI			1.100	0.0018***	0.4508	1.852
Int			6.350	0.0319**	0.6025	11.88
Size	0.081	0.075*	0.010	0.8622	−0.0860	0.108
ROE	0.120	0.132	0.182	0.0848*	−0.3668	0.024
Tob_Q	−0.035	0.150	−0.058	0.0855*	−0.1190	0.007
Beta	−1.61	0.000***	−1.484	0.0001***	1.350	1.700
LEV	−0.480	0.072**	−0.610	0.1481	−0.956	0.138
R²-adj	0.243				0.26
F-statistics	0.000***			0.000***
R² change (p-value)					0.031**
Obs	1,386				1,386

Variables	Model 1: OLS		Model 2: Moderation using bootstrap analysis
Variables	Coeff	p-value	Coeff	p-value	BootLLCI (95%)	BootULCI (95%)
Intercept	−10.54	0.000	−8.824	0.0000	−10.41	−8.350
CGI	1.702	0.007***	1.645	0.0170**	0.3050	2.970
VDI			1.100	0.0018***	0.4508	1.852
Int			6.350	0.0319**	0.6025	11.88
Size	0.081	0.075*	0.010	0.8622	−0.0860	0.108
ROE	0.120	0.132	0.182	0.0848*	−0.3668	0.024
Tob_Q	−0.035	0.150	−0.058	0.0855*	−0.1190	0.007
Beta	−1.61	0.000***	−1.484	0.0001***	1.350	1.700
LEV	−0.480	0.072**	−0.610	0.1481	−0.956	0.138
R²-adj	0.243				0.26
F-statistics	0.000***			0.000***
R² change (p-value)					0.031**
Obs	1,386				1,386

Note(s): *p < 0.10 **p < 0.05 ***p < 0.001

Int: CG_Index*VD_Index