Table 3.

Correlation matrix and variance inflation factors (VIF) for all variables.

ID	Variables	1	2	3	4	5	6	7	8	9	10	11	12	13
1	Program satisfaction	1
2	Beijing	0.071**	1
3	Tianjin	0.109***	− 0.034	1
4	Shanghai	− 0.012	− 0.034	− 0.025	1
5	Chongqing	0.041	− 0.034	− 0.024	− 0.025	1
6	Department level	0.041	0.059*	0.382***	0.222***	0.281***	1
7	Firm age	− 0.004	0.122***	− 0.037	0.043	0.046	0.015	1
8	Business diversity	− 0.023	0.079**	− 0.015	− 0.029	0.108***	− 0.016	− 0.121***	1
9	Capital size	0.086***	0.300***	− 0.009	0.172***	0.043	0.024	0.183***	0.288***	1
10	female_male ratio	− 0.072**	− 0.096***	− 0.045	− 0.046	− 0.035	− 0.038	− 0.023	− 0.009	− 0.217***	1
11	voters	− 0.383***	− 0.057*	− 0.102***	− 0.030	− 0.051*	− 0.049	0.023	0.010	− 0.068**	0.125***	1
12	Content complexity	− 0.064*	− 0.100***	− 0.011	− 0.037	0.007	− 0.013	− 0.046	− 0.047	− 0.070**	− 0.128***	− 0.026	1
13	Auditory_visual ratio	− 0.054*	− 0.010	− 0.043	− 0.026	− 0.005	− 0.017	− 0.017	− 0.000	− 0.087***	0.221***	0.131***	− 0.101***	1

N = 1524.

*** p < .001; ** p < .01; * p < .05; † p < .1.