Research Article
Digital Economy’s Spatial Implications on Urban Innovation and Its Threshold: Evidence from China
Table 14
Spatial spillover distance of the impact of the southern 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 | 1.274∗∗∗ | (5.14) | 3.240 | (1.52) | 1050 | 0.992∗∗∗ | (3.65) | −5.721∗ | (−1.87) | | 100 | 1.100∗∗∗ | (4.33) | 7.123∗∗ | (2.30) | 1100 | 0.985∗∗∗ | (3.59) | −5.860∗∗ | (−1.96) | | 150 | 1.140∗∗∗ | (4.46) | 8.576∗∗ | (2.34) | 1150 | 0.925∗∗∗ | (3.39) | −5.541∗∗ | (−2.06) | | 200 | 0.812∗∗∗ | (3.05) | 11.568∗∗∗ | (3.66) | 1200 | 0.999∗∗∗ | (3.64) | −7.213∗∗ | (−2.50) | | 250 | 0.884∗∗∗ | (3.30) | 11.271∗∗∗ | (4.33) | 1250 | 0.988∗∗∗ | (3.63) | −4.964∗∗ | (−2.20) | | 300 | 1.093∗∗∗ | (4.07) | 16.043∗∗∗ | (4.37) | 1300 | 0.933∗∗∗ | (3.42) | −3.392∗∗ | (−1.96) | | 350 | 1.135∗∗∗ | (4.19) | 16.508∗∗∗ | (4.81) | 1350 | 0.727∗∗∗ | (2.66) | −2.562∗∗ | (−2.15) | | 400 | 1.243∗∗∗ | (4.57) | 20.724∗∗∗ | (5.82) | 1400 | 0.862∗∗∗ | (3.16) | −1.698∗ | (−1.79) | | 450 | 1.275∗∗∗ | (4.62) | 18.638∗∗∗ | (5.55) | 1450 | 0.843∗∗∗ | (3.11) | −1.777∗∗ | (−2.15) | | 500 | 1.228∗∗∗ | (4.48) | 12.721∗∗∗ | (4.37) | 1500 | 0.793∗∗∗ | (2.91) | −0.949 | (−1.49) | | 550 | 1.083∗∗∗ | (3.93) | 6.174∗∗ | (2.23) | 1550 | 0.870∗∗∗ | (3.23) | −0.964∗ | (−1.84) | | 600 | 1.103∗∗∗ | (4.11) | −2.619 | (−0.86) | 1600 | 0.884∗∗∗ | (3.27) | −1.009∗∗ | (−2.16) | | 650 | 1.234∗∗∗ | (4.62) | −5.272∗ | (−1.90) | 1650 | 1.023∗∗∗ | (3.80) | −0.979∗∗ | (−2.23) | | 700 | 1.052∗∗∗ | (3.91) | −6.670∗∗ | (−2.35) | 1700 | 0.957∗∗∗ | (3.54) | −0.904∗∗ | (−2.13) | | 750 | 0.871∗∗∗ | (3.27) | −7.546∗∗∗ | (−2.61) | 1750 | 1.124∗∗∗ | (4.18) | −0.724∗ | (−1.83) | | 800 | 0.823∗∗∗ | (3.10) | −9.128∗∗∗ | (−2.94) | 1800 | 1.119∗∗∗ | (4.11) | −1.201∗∗∗ | (−2.87) | | 850 | 0.716∗∗∗ | (2.68) | −10.419∗∗∗ | (−3.17) | 1850 | 0.985∗∗∗ | (3.68) | −1.012∗∗ | (−2.38) | | 900 | 0.762∗∗∗ | (2.82) | −8.469∗∗ | (−2.51) | 1900 | 1.077∗∗∗ | (4.03) | −1.274∗∗∗ | (−3.06) | | 950 | 0.832∗∗∗ | (3.05) | −7.889∗∗ | (−2.36) | 1950 | 1.111∗∗∗ | (4.21) | −0.941∗∗ | (−2.18) | | 1000 | 0.944∗∗∗ | (3.47) | −4.970∗ | (−1.77) | 2000 | 1.004∗∗∗ | (3.80) | −1.259∗∗∗ | (−3.21) |
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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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