Spatial Spillover Effect of Government Public Health Spending on Regional Economic Growth during the COVID-19 Pandemic: An Evidence from China

Table 6

Estimation result of SDM at national level.

	Classification of fixed effect models
	Spatial fixed effects	Time fixed effects	Spatial-time-fixed effects
Lnpph	0.3015	0.1671	0.1615
	(0.0221)	(0.0323)	(0.0331)
Lnfi	0.1329	0.1350	0.1436
	(0.0193)	(0.0235)	(0.0202)
Lnhc	0.1371	0.8791	0.1130
	(0.0570)	(0.0731)	(0.0586)
Lnmc	−0.0560	−0.4021	0.0017
	(0.0519)	(0.0772)	(0.0514)
Lnur	0.3812	0.7664	0.3222
	(0.1098)	(0.0787)	(0.1087)
Lnrp	0.0109	−0.1415	0.0408
	(0.0447)	(0.0606)	(0.0445)
Wlnpph	−0.1676	0.2457	−0.0162
	(0.0317)	(0.0587)	(0.0360)
Wlnfi	0.0120	−0.1284	0.1363
	(0.0349)	(0.0463)	(0.0555)
Wlnhc	−0.2353	−0.1184	−0.1640
	(0.1179)	(0.1433)	(0.1288)
Wlnmc	0.2240	−0.0677	0.1850
	(0.1033)	(0.1462)	(0.1063)
Wlnur	−0.1236	0.0148	−0.6481
	(0.1982)	(0.0771)	(0.2233)
Wlnrp	−0.1078	0.2931	−0.0316
	(0.0770)	(0.0692)	(0.0925)
Rho	0.4324	0.2581	0.2108
R^2	0.9752	0.8719	0.9702
Log-likelihood	567.6973	465.3824	610.6094

, , and indicate significance at the 1%, 5%, and 10% levels, respectively. The numbers in the coefficient parentheses are standard errors.