Research Article

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

Table 5

Results of decomposition of the spatial effects of digital economy on urban innovation.

VariableDirect effectIndirect effectTotal effect
Coefficient valuet-statisticCoefficient valuet-statisticCoefficient valuet-statistic

DE1.095∗∗∗(5.90)4.368∗∗∗(3.53)5.463∗∗∗(4.30)
lnED0.099∗∗∗(3.30)−0.372∗(−1.78)−0.273(−1.28)
lnPS−0.002(−0.02)3.734∗∗∗(4.91)3.732∗∗∗(4.69)
lnFII−0.003(−0.28)0.140∗∗(2.10)0.137∗(1.95)
lnIL0.007(0.51)−0.160(−1.45)−0.153(−1.31)
lnWL0.409∗∗∗(8.34)−0.056(−0.19)0.353(1.19)
lnRC0.305∗∗∗(3.08)3.145∗∗∗(3.40)3.449∗∗∗(3.61)
UL0.005∗∗∗(3.42)−0.005(−0.44)0.001(0.07)
lnFD0.178∗∗∗(5.12)−0.899∗∗∗(−3.37)−0.721∗∗∗(−2.63)
lnFOI0.019(1.51)0.129(1.36)0.148(1.54)

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