Research Article
Digital Economy’s Spatial Implications on Urban Innovation and Its Threshold: Evidence from China
Table 13
Spatial spillover distance of the impact of the northern 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 | 0.968∗∗∗ | (3.34) | 8.923∗∗∗ | (3.67) | 1050 | 1.228∗∗∗ | (3.98) | −6.420∗∗∗ | (−4.21) | 100 | 1.069∗∗∗ | (3.51) | 20.306∗∗∗ | (3.90) | 1100 | 1.428∗∗∗ | (4.65) | −7.860∗∗∗ | (−4.58) | 150 | 0.941∗∗∗ | (3.13) | 15.580∗∗∗ | (3.44) | 1150 | 1.251∗∗∗ | (4.12) | −8.339∗∗∗ | (−4.49) | 200 | 0.932∗∗∗ | (3.06) | 14.270∗∗∗ | (3.17) | 1200 | 1.242∗∗∗ | (4.14) | −9.865∗∗∗ | (−4.82) | 250 | 0.899∗∗∗ | (2.99) | 12.767∗∗∗ | (2.87) | 1250 | 1.104∗∗∗ | (3.65) | −7.549∗∗∗ | (−3.90) | 300 | 0.921∗∗∗ | (3.08) | 8.160∗∗ | (2.12) | 1300 | 1.122∗∗∗ | (3.64) | −6.218∗∗∗ | (−3.42) | 350 | 1.018∗∗∗ | (3.38) | 8.560∗∗ | (2.00) | 1350 | 1.059∗∗∗ | (3.42) | −4.454∗∗∗ | (−2.66) | 400 | 1.080∗∗∗ | (3.55) | 4.226 | (1.12) | 1400 | 1.091∗∗∗ | (3.53) | −2.684∗ | (−1.70) | 450 | 1.299∗∗∗ | (4.18) | 0.044 | (0.01) | 1450 | 1.086∗∗∗ | (3.47) | −3.194∗∗ | (−2.20) | 500 | 1.221∗∗∗ | (3.95) | 3.476 | (1.00) | 1500 | 1.084∗∗∗ | (3.47) | −5.446∗∗∗ | (−3.92) | 550 | 1.480∗∗∗ | (4.78) | 3.908 | (1.00) | 1550 | 1.052∗∗∗ | (3.34) | −5.122∗∗∗ | (−4.22) | 600 | 1.584∗∗∗ | (5.14) | −2.629 | (−0.71) | 1600 | 0.872∗∗∗ | (2.75) | −3.411∗∗∗ | (−2.92) | 650 | 1.690∗∗∗ | (5.57) | −5.621 | (−1.56) | 1650 | 0.806∗∗∗ | (2.60) | −3.981∗∗∗ | (−3.66) | 700 | 1.596∗∗∗ | (5.35) | −9.826∗∗∗ | (−3.16) | 1700 | 0.805∗∗∗ | (2.59) | −3.883∗∗∗ | (−3.73) | 750 | 1.583∗∗∗ | (5.26) | −7.146∗∗∗ | (−2.81) | 1750 | 0.965∗∗∗ | (3.15) | −4.501∗∗∗ | (−4.47) | 800 | 1.564∗∗∗ | (5.24) | −5.094∗∗ | (−2.12) | 1800 | 0.979∗∗∗ | (3.19) | −3.812∗∗∗ | (−3.79) | 850 | 1.412∗∗∗ | (4.62) | −5.617∗∗∗ | (−2.79) | 1850 | 0.978∗∗∗ | (3.20) | −4.400∗∗∗ | (−4.37) | 900 | 1.444∗∗∗ | (4.66) | −3.221∗ | (−1.78) | 1900 | 1.086∗∗∗ | (3.58) | −5.333∗∗∗ | (−5.06) | 950 | 1.439∗∗∗ | (4.68) | −2.939∗ | (−1.83) | 1950 | 1.089∗∗∗ | (3.61) | −5.303∗∗∗ | (−4.96) | 1000 | 1.351∗∗∗ | (4.31) | −4.379∗∗∗ | (−3.02) | 2000 | 1.037∗∗∗ | (3.39) | −4.925∗∗∗ | (−4.50) |
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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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