Table 4. Hierarchical regression results... | Emerald Publishing

Table 4.

Hierarchical regression results using regulatory compliance dimensions

Item	Model I	Model II	Model III	Model IV	Model V	Model VI
Constant	3.510	3.236	2.836	2.410	2.405	2.350
Control variables
Firm age	0.005	0.008	0.007	0.009	0.006	0.027
Firm size	0.140	0.148	0.145	0.147	0.128	0.148
Business nature	−0.137	−0.110	−0.127	−0.128	−0.134	−0.084
Independent variables
Social norms and Values		0.096	−0.037	−0.086	−0.117
Controls			0.286**	0.168	0.114
Legitimacy				0.260**	0.200**
Deterrence					0.201**
Regulatory compliance						0.322**
Model summary
Model F	1.596	1.420	2.689	3.249	3.264	4.295
Adjusted R Square	0.017	0.016	0.074	0.114	0.131	0.112
F change	1.596	0.897	7.406	5.450	2.969	11.882
R Square change	0.045	0.008	0.065	0.046	0.025	0.101
Durbin Watson					1.724	1.864

Item	Model I	Model II	Model III	Model IV	Model V	Model VI
Constant	3.510	3.236	2.836	2.410	2.405	2.350
Control variables
Firm age	0.005	0.008	0.007	0.009	0.006	0.027
Firm size	0.140	0.148	0.145	0.147	0.128	0.148
Business nature	−0.137	−0.110	−0.127	−0.128	−0.134	−0.084
Independent variables
Social norms and Values		0.096	−0.037	−0.086	−0.117
Controls			0.286**	0.168	0.114
Legitimacy				0.260**	0.200**
Deterrence					0.201**
Regulatory compliance						0.322**
Model summary
Model F	1.596	1.420	2.689	3.249	3.264	4.295
Adjusted R Square	0.017	0.016	0.074	0.114	0.131	0.112
F change	1.596	0.897	7.406	5.450	2.969	11.882
R Square change	0.045	0.008	0.065	0.046	0.025	0.101
Durbin Watson					1.724	1.864

Source: Primary data