Research Article

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

Table 8

Results of analysis of mechanisms of the digital economy to influence urban innovation.

VariablelnUIlnHRlnTSlnUIlnUIlnUIlnUI
(1)(2)(3)(4)(5)(6)(7)

DE0.961∗∗∗0.462∗∗∗2.619∗∗∗0.908∗∗∗0.648∗∗∗
(5.19)(4.54)(7.95)(4.89)(3.51)

lnHR0.152∗∗∗0.133∗∗∗0.148∗∗∗
(4.60)(4.02)(4.55)

lnTS0.089∗∗∗0.088∗∗∗
(8.82)(8.62)

Wx_DE0.671∗0.470∗∗−0.9060.652∗0.317
(1.78)(2.29)(−1.35)(1.71)(0.83)

Wx_lnHR−0.029−0.106−0.144∗
(−0.35)(−1.26)(−1.73)

Wx_lnTS0.101∗∗∗0.086∗∗∗
(4.34)(3.63)

Rho0.696∗∗∗0.348∗∗∗0.557∗∗∗0.720∗∗∗0.668∗∗∗0.697∗∗∗0.657∗∗∗
(27.64)(10.19)(19.03)(29.90)(26.05)(27.75)(25.02)

DE-direct effect1.095∗∗∗0.486∗∗∗2.660∗∗∗1.036∗∗∗0.711∗∗∗
(5.90)(4.84)(8.16)(5.51)(3.83)

lnHR-direct effect0.161∗∗∗0.128∗∗∗0.142∗∗∗
(4.75)(4.31)(5.21)

lnTS-direct effect0.104∗∗∗0.101∗∗∗
(10.34)(9.31)

DE-indirect effect4.368∗∗∗0.963∗∗∗1.2844.136∗∗∗2.013∗∗
(3.53)(2.96)(0.85)(3.27)(2.13)

lnHR-indirect effect0.299−0.067−0.101
(0.94)(−0.28)(−0.47)

lnTS-indirect effect0.478∗∗∗0.408∗∗∗
(6.57)(6.05)

DE-total effect5.463∗∗∗1.449∗∗∗3.944∗∗5.171∗∗∗2.725∗∗∗
(4.30)(4.50)(2.56)(3.97)(2.78)

lnHR-total effect0.4600.0600.041
(1.41)(0.24)(0.19)

lnTS-total effect0.582∗∗∗0.509∗∗∗
(7.83)(7.24)

Control variableYesYesYesYesYesYesYes
Individual-FEYesYesYesYesYesYesYes
Year-FEYesYesYesYesYesYesYes
Adj. R-sq0.71020.37980.42210.70290.72450.71120.7296
N3033303330333033303330333033

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