Research Article

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

Table 10

Spatial spillover distance of the digital economy on urban innovation.

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

501.236∗∗∗(6.60)8.814∗∗∗(3.55)10501.605∗∗∗(8.08)−13.719∗∗∗(−5.12)
1001.196∗∗∗(6.14)23.590∗∗∗(3.11)11001.732∗∗∗(8.68)−14.941∗∗∗(−5.46)
1501.119∗∗∗(5.62)25.373∗∗(2.25)11501.753∗∗∗(8.79)−14.937∗∗∗(−5.97)
2001.005∗∗∗(4.94)25.018∗∗(2.46)12001.778∗∗∗(8.86)−15.720∗∗∗(−6.41)
2501.075∗∗∗(5.29)25.246∗∗∗(2.92)12501.823∗∗∗(9.07)−14.624∗∗∗(−5.55)
3001.235∗∗∗(6.02)30.410∗∗∗(2.87)13001.884∗∗∗(9.30)−12.793∗∗∗(−5.12)
3501.280∗∗∗(6.24)31.194∗∗∗(2.86)13501.864∗∗∗(9.20)−12.028∗∗∗(−5.36)
4001.391∗∗∗(6.72)33.692∗∗∗(2.85)14001.759∗∗∗(8.66)−10.877∗∗∗(−5.48)
4501.460∗∗∗(7.10)17.557∗∗(2.49)14501.802∗∗∗(8.92)−9.590∗∗∗(−4.66)
5001.391∗∗∗(6.78)9.572∗(1.75)15001.739∗∗∗(8.56)−6.770∗∗∗(−3.66)
5501.465∗∗∗(7.15)0.087(0.02)15501.655∗∗∗(8.13)−3.377∗(−1.94)
6001.453∗∗∗(7.16)−10.970∗∗(−2.51)16001.536∗∗∗(7.54)−0.801(−0.51)
6501.525∗∗∗(7.60)−14.189∗∗∗(−3.50)16501.406∗∗∗(6.92)1.922(1.30)
7001.487∗∗∗(7.46)−14.165∗∗∗(−4.50)17001.389∗∗∗(6.86)2.196(1.62)
7501.509∗∗∗(7.59)−14.920∗∗∗(−4.61)17501.486∗∗∗(7.41)2.985∗∗(2.29)
8001.516∗∗∗(7.59)−15.817∗∗∗(−4.79)18001.517∗∗∗(7.66)3.560∗∗∗(2.96)
8501.373∗∗∗(6.88)−14.943∗∗∗(−5.27)18501.566∗∗∗(8.02)3.392∗∗∗(3.02)
9001.441∗∗∗(7.22)−14.397∗∗∗(−5.36)19001.603∗∗∗(8.24)2.985∗∗∗(2.74)
9501.509∗∗∗(7.58)−14.771∗∗∗(−5.28)19501.551∗∗∗(8.05)3.540∗∗∗(3.50)
10001.536∗∗∗(7.73)−13.766∗∗∗(−5.18)20001.587∗∗∗(8.18)1.960∗∗(2.02)

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