Research Article

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

Table 13

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

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

500.968∗∗∗(3.34)8.923∗∗∗(3.67)10501.228∗∗∗(3.98)−6.420∗∗∗(−4.21)
1001.069∗∗∗(3.51)20.306∗∗∗(3.90)11001.428∗∗∗(4.65)−7.860∗∗∗(−4.58)
1500.941∗∗∗(3.13)15.580∗∗∗(3.44)11501.251∗∗∗(4.12)−8.339∗∗∗(−4.49)
2000.932∗∗∗(3.06)14.270∗∗∗(3.17)12001.242∗∗∗(4.14)−9.865∗∗∗(−4.82)
2500.899∗∗∗(2.99)12.767∗∗∗(2.87)12501.104∗∗∗(3.65)−7.549∗∗∗(−3.90)
3000.921∗∗∗(3.08)8.160∗∗(2.12)13001.122∗∗∗(3.64)−6.218∗∗∗(−3.42)
3501.018∗∗∗(3.38)8.560∗∗(2.00)13501.059∗∗∗(3.42)−4.454∗∗∗(−2.66)
4001.080∗∗∗(3.55)4.226(1.12)14001.091∗∗∗(3.53)−2.684∗(−1.70)
4501.299∗∗∗(4.18)0.044(0.01)14501.086∗∗∗(3.47)−3.194∗∗(−2.20)
5001.221∗∗∗(3.95)3.476(1.00)15001.084∗∗∗(3.47)−5.446∗∗∗(−3.92)
5501.480∗∗∗(4.78)3.908(1.00)15501.052∗∗∗(3.34)−5.122∗∗∗(−4.22)
6001.584∗∗∗(5.14)−2.629(−0.71)16000.872∗∗∗(2.75)−3.411∗∗∗(−2.92)
6501.690∗∗∗(5.57)−5.621(−1.56)16500.806∗∗∗(2.60)−3.981∗∗∗(−3.66)
7001.596∗∗∗(5.35)−9.826∗∗∗(−3.16)17000.805∗∗∗(2.59)−3.883∗∗∗(−3.73)
7501.583∗∗∗(5.26)−7.146∗∗∗(−2.81)17500.965∗∗∗(3.15)−4.501∗∗∗(−4.47)
8001.564∗∗∗(5.24)−5.094∗∗(−2.12)18000.979∗∗∗(3.19)−3.812∗∗∗(−3.79)
8501.412∗∗∗(4.62)−5.617∗∗∗(−2.79)18500.978∗∗∗(3.20)−4.400∗∗∗(−4.37)
9001.444∗∗∗(4.66)−3.221∗(−1.78)19001.086∗∗∗(3.58)−5.333∗∗∗(−5.06)
9501.439∗∗∗(4.68)−2.939∗(−1.83)19501.089∗∗∗(3.61)−5.303∗∗∗(−4.96)
10001.351∗∗∗(4.31)−4.379∗∗∗(−3.02)20001.037∗∗∗(3.39)−4.925∗∗∗(−4.50)

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