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

Table 9

SDM estimation results at the subnational level.

Variable	Eastern	Central	Western
lnpph	0.3183	0.1669	0.0792
	(0.0367)	(0.0717)	(0.0587)
lnfi	0.1670	0.1079	0.1750
	(0.0366)	(0.0372)	(0.0337)
lnhc	0.1151	−0.1732	0.3482
	(0.0949)	(0.1467)	(0.1072)
lnmc	−0.0578	0.1418	0.0562
	(0.0900)	(0.1218)	(0.0818)
Lnur	0.1121	0.3924	0.3141
	(0.2991)	(0.2323)	(0.1407)
Lnrp	0.0294	0.1483	−0.1300
	(0.0804)	(0.0741)	(0.0722)
Wlnpph	−0.0059	−0.1475	0.0688
	(0.0705)	(0.0773)	(0.0627)
Wlnfi	0.0872	0.1322	−0.0609
	(0.0959)	(0.0679)	(0.0518)
Wlnhc	−0.1492	−0.0032	−0.3677
	(0.1482)	(0.1660)	(0.1433)
Wlnmc	0.2270	0.1478	0.1731
	(0.1550)	(0.1440)	(0.1270)
Wlnur	−0.3246	−0.4516	−0.4492
	(0.0.4162)	(0.2776)	(0.2075)
Wlnrp	−0.2155	−0.2187	0.0492
	(0.1097)	(0.0893)	(0.1346)
Rho	0.0211	0.4959	0.4734
	(0.0874)	(0.0682)	(0.0750)
R^2	0.9648	0.9763	0.9853
Log-likelihood	188.3498	161.7663	256.0567

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