[Retracted] The Impact of Innovative Industrial Cluster Policy on Regional Innovation: Evidence from a Quasi-Natural Experiment in China
Table 2
Regression results for the impact of IICP policy on regional innovation.
Variable
A
B
C
D
F
G
H
treat × post
0.4534 (4.42)
0.4737 (4.84)
0.4755 (4.85)
0.4785 (4.87)
0.4784 (4.86)
0.4787 (4.87)
0.4399 (4.58)
Eco
0.5163 (4.12)
0.5112 (4.08)
0.5372 (4.11)
0.5372 (4.10)
0.5403 (4.10)
0.5530 (4.43)
Open
0.5192 (0.46)
0.5087 (0.45)
0.5090 (0.45)
0.5089 (0.45)
0.5743 (0.53)
Fin
0.0203 (0.81)
0.0203 (0.81)
0.0214 (0.86)
0.0290 (1.11)
Hum
−0.0010 (−0.01)
−0.0029 (−0.04)
0.0632 (0.81)
Int
0.0092 (0.75)
0.0156 (1.25)
Pop
1.2071 (3.07)
_cons
3.0044 (85.45)
2.6389 (28.45)
2.6312 (27.49)
2.5777 (21.96)
2.5821 (8.06)
2.5827 (8.08)
−4.7684 (−1.93)
City FE
Yes
Yes
Yes
Yes
Yes
Yes
Yes
Year FE
Yes
Yes
Yes
Yes
Yes
Yes
Yes
R2
0.7390
0.7447
0.7447
0.7448
0.7446
0.7449
0.7487
N
3192
3192
3192
3192
3192
3192
3192
Notes. t-statistics are in parentheses. ,, Statistical significance at the 10%, 5% and 1% levels, respectively; _cons represent constant terms; N represents the number of samples.
