The Impact of Digitization on Green Innovation Performance: Evidence Based on Panel Data of 228 Prefectural-Level Cities in China
Table 3
Benchmark regression results.
Variables
Static panel (OLS)
Dynamic panel (system GMM)
Fe
Re
Whole
High-regional system
Low-regional system
0.1334 (3.92)
0.1796 (3.78)
0.1882 (4.43)
0.1759 (9.77)
0.1638 (9.99)
0.3181 (4.48)
0.2535 (4.06)
0.3490 (2.87)
−0.5204 (−17.38)
−0.5138 (−17.47)
−0.8303 (−8.93)
−0.2550 (−3.30)
−0.6570 (−8.62)
−0.5243 (−7.87)
−0.4924 (−8.17)
−0.5690 (−1.72)
0.0073 (0.19)
−1.3882 (−2.79)
0.0494 (1.68)
−0.0247 (−0.88)
0.2046 (2.59)
−0.0391 (−0.64)
0.1844 (3.48)
0.0025 (0.22)
−0.0057 (−0.54)
0.0079 (0.19)
0.0625 (1.70)
−0.0136 (−0.37)
0.0588 (2.60)
0.0471 (2.28)
0.4282 (6.08)
0.2068 (2.17)
−0.0395 (−1.27)
−0.0561 (−4.83)
−0.0380 (−3.50)
−0.1352 (−2.89)
−0.1588 (−2.89)
−0.1493 (−3.10)
0.8757 (46.96)
0.8795 (45.50)
0.6511 (9.13)
0.6659 (9.27)
0.9293 (11.40)
0.000
0.000
0.000
0.527
0.139
0.182
0.276
0.932
0.350
0.1200
0.1192
61.7
419.87
Note.,, and mean that the regression coefficient of the variable is notable at the 10%, 5%, and 1% levels, respectively, and the value () is the t statistic. The following table is the same.
