Research Article

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

Table 12

Spatial spillover distance of the impact of the central and western regions’ digital economy on urban innovation.

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

501.232∗∗∗(5.15)5.822∗∗∗(2.95)10501.621∗∗∗(6.39)−11.904∗∗∗(−3.48)
1001.210∗∗∗(4.83)14.749∗∗∗(3.06)11001.742∗∗∗(6.86)−11.981∗∗∗(−3.69)
1501.093∗∗∗(4.37)10.185∗∗(2.28)11501.692∗∗∗(6.68)−11.531∗∗∗(−4.12)
2000.969∗∗∗(3.81)5.302∗(1.69)12001.760∗∗∗(6.88)−11.041∗∗∗(−4.26)
2501.106∗∗∗(4.39)6.570∗(1.87)12501.826∗∗∗(7.17)−11.721∗∗∗(−3.88)
3001.186∗∗∗(4.70)5.057(1.48)13001.855∗∗∗(7.17)−10.188∗∗∗(−3.87)
3501.246∗∗∗(4.89)2.836(0.91)13501.761∗∗∗(6.80)−8.853∗∗∗(−3.73)
4001.297∗∗∗(5.01)3.235(1.04)14001.638∗∗∗(6.34)−7.690∗∗∗(−3.63)
4501.508∗∗∗(5.76)2.936(0.91)14501.597∗∗∗(6.19)−8.044∗∗∗(−3.19)
5001.524∗∗∗(5.84)1.984(0.60)15001.497∗∗∗(5.78)−5.251∗∗(−2.44)
5501.664∗∗∗(6.46)−0.205(−0.05)15501.520∗∗∗(5.87)−3.601∗(−1.93)
6001.587∗∗∗(6.17)−3.612(−0.83)16001.366∗∗∗(5.26)−2.890∗(−1.79)
6501.643∗∗∗(6.49)−6.128(−1.32)16501.320∗∗∗(5.09)−1.699(−1.17)
7001.610∗∗∗(6.37)−6.999(−1.58)17001.243∗∗∗(4.77)−1.104(−0.86)
7501.594∗∗∗(6.33)−7.660∗(−1.95)17501.323∗∗∗(5.14)−0.517(−0.44)
8001.655∗∗∗(6.56)−6.633∗∗(−2.10)18001.340∗∗∗(5.24)0.173(0.16)
8501.538∗∗∗(6.10)−8.320∗∗∗(−2.75)18501.524∗∗∗(5.97)−0.337(−0.31)
9001.522∗∗∗(6.00)−10.389∗∗∗(−3.12)19001.642∗∗∗(6.39)−1.024(−0.85)
9501.585∗∗∗(6.25)−12.409∗∗∗(−3.20)19501.551∗∗∗(6.12)0.614(0.51)
10001.596∗∗∗(6.32)−14.328∗∗∗(−3.39)20001.551∗∗∗(6.06)1.837(1.56)

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