Regional Difference in Spatial Effects: A Theoretical and Empirical Study on the Environmental Effects of FDI and Corruption in China

Table 3

Traditional panel model estimation results of FDI, regional corruption, and environmental pollution.

Variables	Model 1	Model 2	Model 3	Model 4
Constant	−0.0117	0.0058	−0.0007	0.0727
	(−0.3281)	(0.1628)	(−0.0204)	(1.8052)
lnFDI	−0.0002		−0.0002	−0.0031
	(−1.2623)		(−0.9738)	(−4.0693)
lnRC		0.0010	0.0008	−0.0046
		(1.5418)	(1.3146)	(−3.0429)
lnFDIlnRC				0.0005
				(3.9493)
lnPGDP	0.0039	0.0011	0.0020	−0.0047
	(0.5725)	(0.1542)	(0.2881)	(−0.6725)
ln^2PGDP	−0.0003	−0.0002	−0.0003	0.0001
	(−1.0468)	(−0.6610)	(−0.7499)	(0.1824)
lnIS	0.0038	0.0035	0.0036	0.0033
	(6.6840)	(5.9351)	(6.0122)	(5.4678)
lnER	0.0028	0.0029	0.0028	0.0029
	(7.5716)	(7.9214)	(7.5282)	(7.9855)
lnPS	0.0019	0.0008	0.0011	0.0008
	(4.3611)	(1.2087)	(1.5333)	(1.1097)
F value	109.3861	109.7802	94.2177	88.1273
DW statistic	1.6368	1.6353	1.6226	1.5265
R^2	0.6702	0.6710	0.6719	0.6871
Log L	1495.7000	1496.1000	1496.6000	1504.4000

Note: Significant level at 1%, significant level at 5%, and significant level at 10%, and the values in parentheses indicate t statistic for each estimated coefficient.