Research Article
Digital Economy’s Spatial Implications on Urban Innovation and Its Threshold: Evidence from China
Table 11
Spatial spillover distance of the impact of the eastern region’s digital economy on urban innovation.
| Distance threshold (km) | Direct effect | Indirect effect | Distance threshold (km) | Direct effect | Indirect effect | Coefficient | t-statistic | Coefficient | t-statistic | Coefficient | t-statistic | Coefficient | t-statistic |
| 50 | 0.370 | (1.19) | −0.405 | (−0.22) | 1050 | −0.020 | (−0.06) | −1.960 | (−0.83) | 100 | 0.356 | (1.15) | 1.635 | (0.63) | 1100 | 0.110 | (0.35) | −2.647 | (−1.08) | 150 | 0.158 | (0.50) | 3.986 | (1.34) | 1150 | 0.167 | (0.53) | −1.146 | (−0.51) | 200 | 0.101 | (0.32) | 8.424∗∗∗ | (2.68) | 1200 | 0.115 | (0.36) | −4.274∗ | (−1.87) | 250 | 0.331 | (1.02) | 6.548∗∗ | (2.23) | 1250 | 0.254 | (0.79) | −2.369 | (−1.00) | 300 | 0.137 | (0.41) | 8.500∗∗∗ | (2.62) | 1300 | 0.351 | (1.10) | 2.498 | (0.96) | 350 | 0.140 | (0.42) | 1.466 | (0.38) | 1350 | 0.341 | (1.07) | 2.643∗∗ | (2.10) | 400 | 0.117 | (0.35) | −0.325 | (−0.07) | 1400 | 0.400 | (1.25) | 2.231 | (0.85) | 450 | −0.060 | (−0.18) | −3.738 | (−0.82) | 1450 | 0.528 | (1.62) | 2.829 | (1.35) | 500 | −0.042 | (−0.13) | −1.886 | (−0.43) | 1500 | 0.528 | (1.63) | 3.626∗ | (1.73) | 550 | 0.070 | (0.22) | 0.372 | (0.09) | 1550 | 0.397 | (1.23) | 2.125∗∗∗ | (2.72) | 600 | 0.061 | (0.19) | 0.366 | (0.09) | 1600 | 0.279 | (0.88) | 2.481∗ | (1.84) | 650 | 0.051 | (0.16) | −4.505 | (−1.03) | 1650 | 0.286 | (0.92) | 1.337 | (1.35) | 700 | −0.042 | (−0.13) | −4.059 | (−0.89) | 1700 | 0.453 | (1.46) | 1.166 | (1.44) | 750 | 0.108 | (0.35) | −3.524 | (−0.81) | 1750 | 0.569∗ | (1.88) | 0.998 | (1.54) | 800 | 0.058 | (0.19) | −3.737 | (−0.87) | 1800 | 0.685∗∗ | (2.27) | −0.246 | (−0.46) | 850 | 0.052 | (0.17) | −0.178 | (−0.05) | 1850 | 0.383 | (1.27) | −0.502 | (−0.89) | 900 | 0.171 | (0.54) | −1.110 | (−0.36) | 1900 | 0.226 | (0.74) | −0.520 | (−0.94) | 950 | 0.142 | (0.45) | −0.883 | (−0.32) | 1950 | 0.266 | (0.88) | −1.169∗ | (−1.73) | 1000 | 0.011 | (0.04) | −2.465 | (−0.96) | 2000 | 0.321 | (1.05) | −0.939 | (−1.39) |
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Note. ∗∗∗, ∗∗, and ∗ represent the significance level at the 1%, 5%, and 10% levels, respectively. The numbers in brackets are the test values t.
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