Spatial-Temporal Evolution and Influencing Factors of Urban Green Innovation Efficiency in China

Table 4

Nonspatial effects model regression results and related test results.

	OLS	Spatial fixed	Time fixed	Spatial and time fixed
FDI	0.071	0.013	0.072	0.015
	(9.994)	(1.383)	(10.391)	(1.61)
ER	−0.104	−0.013	−0.092	−0.014
	(−2.6)	(−0.403)	(−2.47)	(−0.441)
FD	0.619	0.106	0.637	0.168
	(18.292)	(1.669)	(19.189)	(2.372)
KISA	−0.008	−0.096	−0.077	0.032
	(−0.25)	(−3.233)	(−2.224)	(0.921)
MIA	0.178	0.167	0.085	0.148
	(8.018)	(3.919)	(3.606)	(3.509)
Intercept	−0.621
	(7.395)
R2	0.206	0.010	0.235	0.006
sigma^2	0.037	0.043	0.090	0.040
LM spatial lag test	369.587	1375.605	74.276	61.860
LM spatial error test	955.253	1318.354	110.418	60.867
Robust LM spatial lag test	67.156	60.572	2.491	1.444
Robust LM spatial error test	652.822	3.321	38.633	0.452
Wald spatial lag test	20.009
Wald spatial error test	19.551
LR spatial lag test	24.004
LR spatial error test	23.692

Note: t statistics in parentheses. , , and .