[Retracted] The Impact of Environmental Regulation on China’s OFDI: From the Perspective of Home Country

Table 4

Baseline regression results.

Variable	(1)	(2)	(3)	(4)	(5)	(6)
	OLS1	OLS2	FE1	FE2	FE3	FE4
ER		0.3182	0.6354	0.1953	0.2256	0.1976
	(0.000)	(0.008)	(0.000)	(0.026)	(0.030)	(0.037)
ER2	−0.993	−0.5077	−0.984	−0.3786	−0.433	−0.3754
	(0.000)	(0.030)	(0.000)	(0.036)	(0.041)	(0.049)
GDPP		0.102		−0.0550		−0.0245
		(0.193)		(0.746)		(0.893)
Wage		1.208		3.655		3.105
		(0.035)		(0.000)		(0.075)
Energy		−0.808		0.459		0.426
		(0.012)		(0.511)		(0.553)
Education		−0.0585		−0.239		−0.0439
		(0.865)		(0.404)		(0.921)
Research		−0.00130		−0.000820		−0.000493
		(0.585)		(0.917)		(0.947)
Market		−1.748		−1.934		−1.819
		(0.308)		(0.156)		(0.355)
Trade		0.363		−0.363		−0.236
		(0.262)		(0.540)		(0.766)
_cons	2.665	−4.587	2.442	−27.34	5.131	−24.06
	(0.003)	(0.288)	(0.005)	(0.003)	(0.000)	(0.137)
Individual trends	—	—	Control	Control	Control	Control
Time trend	—	—	—	—	Control	Control
N	358	358	358	358	358	358
R ^2	0.605	0.738	0.672	0.794	0.797	0.804

Note. Clustering robust standard error is used in the regression. The numbers in parentheses below the regression coefficient are significance levels. , , and are significant at 1%, 5%, and 10% significance levels, respectively.