IT Usage and Innovation Performance of SMEs in China: A New Perspective
Table 2
Regression results.
Variables
IP
Flexibility
Model 1 (OLS)
Model 2 (OLS)
Model 3 (2SLS)
Model 4 (OLS)
Model 5 (OLS)
Model 6 (OLS)
Model 7 (logit)
Constant
2.361 (1.542)
−0.908 (1.566)
−4.779 (1.444)
−1.052 (1.563)
−1.945 (1.769)
−2.067 (1.767)
−0.962 (0.940)
Size
0.528 (0.166)
0.393 (0.166)
0.283 (0.177)
0.3860.166
0.386 (0.166)
0.402 (0.166)
0.090 (0.081)
Age
−0.472 (0.406)
−0.395 (0.396)
−0.105 (0.411)
−0.404 (0.397)
−0.403 (0.397)
−0.394 (0.396)
0.017 (0.178)
State
−0.031(0.008)
−0.013(0.008)
0.018(0.008)
−0.011 (0.008)
−0.010 (0.008)
−0.011 (0.008)
−0.025(0.006)
R&D
5.565 (0.431)
5.136 (0.441)
5.814 (0.441)
5.033 (0.447)
5.008 (0.447)
5.028 (0.447)
0.924 (0.179)
Technology
2.590 (0.483)
2.215 (0.482)
2.712 (0.472)
2.159 (0.481)
2.130 (0.482)
2.144 (0.485)
0.564 (0.222)
Certification
0.750 (0.435)
0.536 (0.432)
0.126 (0.419)
0.476 (0.435)
0.467 (0.435)
0.424 (0.435)
0.454 (0.177)
Export
0.001 (0.007)
0.001 (0.007)
−.005 (0.007)
0.001 (0.007)
0.000 (0.007)
−0.001 (0.007)
0.000 (0.004)
Financing
0.374 (0.239)
0.220 (0.235)
0.130 (0.215)
0.201 (0.235)
0.198 (0.236)
0.204 (0.236)
0.208 (0.110)
Relation
0.083 (0.069)
0.046 (0.068)
0.131 (0.067)
0.042 (0.068)
0.034 (0.069)
0.031 (0.068)
0.094 (0.071)
Gender
−0.157 (0.685)
0.145 (0.674)
0.352 (0.653)
0.178 (0.671)
0.190 (0.672)
0.201 (0.674)
−0.269 (0.281)
Experience
0.054 (0.028)
0.044 (0.027)
−0.004 (0.025)
0.042 (0.027)
0.041 (0.027)
0.043 (0.027)
0.016 (0.012)
ITW
0.525 (0.169)
0.919 (0.324)
0.510 (0.168)
0.495 (0.168)
0.540 (0.169)
0.001 (0.082)
ITF
0.540 (0.240)
0.968 (0.370)
0.450 (0.246)
0.444 (0.246)
0.440 (0.245)
0.798 (0.113)
Flexibility
0.766 (0.442)
0.796 (0.441)
0.777 (0.440)
Human
0.110 (0.109)
0.096 (0.108)
ITW × Human
0.169 (0.100)
ITF × Human
−0.077 (0.127)
Industry-fixed effect
Controlled
Controlled
—
Controlled
Controlled
Controlled
Controlled
City-fixed effect
Controlled
Controlled
—
Controlled
Controlled
Controlled
Controlled
R2/Pseudo R2
0.429
0.444
0.355
0.445
0.446
0.447
0.337
F
41.72
45.77
—
45.28
44.43
43.27
—
Wald chi2
—
—
1476.10
—
—
—
384.65
N
1369
1369
1369
1369
1369
1369
1365
Note.,, and ; since the key variables in Model 3 are mean data in city-industry level, the industry-fixed effect and city-fixed effect are not included in the model.