Table 4

Results of regression analyses on NET_PER and DIG_PER

VariablesNET_PERDIG_PER
Model 1Model 2Model 3Model 4Model 5Model 6
PROVINCE−0.601***−0.553***−0.527***−0.720***−0.665***−0.641***
DIM−0.155**−0.141**−0.134**−0.0690.0360.052
YEAR−0.283***−0.297***−0.290***−0.398***−0.429***−0.398***
NUM_PROC0.095*−0.017−0.0090.102*−0.163−0.141
GOV_TYPE 0.4631.705*** 1.195**1.108**
NET_INT 0.0850.777**   
NET_INT × GOV_TYPE  −0.850**   
DIG_LEV    0.2140.229
DIG_LEV × GOV_TYPE     −0.081
Constant6.401***6.103***4.982***6.954***6.103***6.051***
F19.560***13.520***12.950***20.680***20.910***20.120***
R20.3860.3890.4150.5800.6770.678
ΔR2 0.0030.026 0.0970.001

Note(s): * p-value<0.05; ** p-value<0.01; *** p-value<0.001

Source(s): Authors’ own work

or Create an Account

Close Modal
Close Modal