Research Article

Digital Economy’s Spatial Implications on Urban Innovation and Its Threshold: Evidence from China

Table 11

Spatial spillover distance of the impact of the eastern region’s digital economy on urban innovation.

Distance threshold (km)Direct effectIndirect effectDistance threshold (km)Direct effectIndirect effect
Coefficientt-statisticCoefficientt-statisticCoefficientt-statisticCoefficientt-statistic

500.370(1.19)−0.405(−0.22)1050−0.020(−0.06)−1.960(−0.83)
1000.356(1.15)1.635(0.63)11000.110(0.35)−2.647(−1.08)
1500.158(0.50)3.986(1.34)11500.167(0.53)−1.146(−0.51)
2000.101(0.32)8.424∗∗∗(2.68)12000.115(0.36)−4.274∗(−1.87)
2500.331(1.02)6.548∗∗(2.23)12500.254(0.79)−2.369(−1.00)
3000.137(0.41)8.500∗∗∗(2.62)13000.351(1.10)2.498(0.96)
3500.140(0.42)1.466(0.38)13500.341(1.07)2.643∗∗(2.10)
4000.117(0.35)−0.325(−0.07)14000.400(1.25)2.231(0.85)
450−0.060(−0.18)−3.738(−0.82)14500.528(1.62)2.829(1.35)
500−0.042(−0.13)−1.886(−0.43)15000.528(1.63)3.626∗(1.73)
5500.070(0.22)0.372(0.09)15500.397(1.23)2.125∗∗∗(2.72)
6000.061(0.19)0.366(0.09)16000.279(0.88)2.481∗(1.84)
6500.051(0.16)−4.505(−1.03)16500.286(0.92)1.337(1.35)
700−0.042(−0.13)−4.059(−0.89)17000.453(1.46)1.166(1.44)
7500.108(0.35)−3.524(−0.81)17500.569∗(1.88)0.998(1.54)
8000.058(0.19)−3.737(−0.87)18000.685∗∗(2.27)−0.246(−0.46)
8500.052(0.17)−0.178(−0.05)18500.383(1.27)−0.502(−0.89)
9000.171(0.54)−1.110(−0.36)19000.226(0.74)−0.520(−0.94)
9500.142(0.45)−0.883(−0.32)19500.266(0.88)−1.169∗(−1.73)
10000.011(0.04)−2.465(−0.96)20000.321(1.05)−0.939(−1.39)

Note. ∗∗∗, ∗∗, and ∗ represent the significance level at the 1%, 5%, and 10% levels, respectively. The numbers in brackets are the test values t.