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)

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