Impacts of Emission Reduction Technological Changes on China’s City-Level PM2.5 Concentration Based on Sustainable Development

Table 1

Spatial econometric results of the four models.

	Fe	SDM	SAR	SEM
	(1)	(2)	(3)	(4)
P	0.000000519(1.26E − 07)	1.40E – 07 (0.000000102)	−0.000000161(9.63E − 08)	−1.54E – 07 (1.01E − 07)
PME	−0.24(0.06)	−0.19(0.05)	−0.211(0.04)	−0.20(0.05)
Y	0.0003103(0.0000927)	0.0000706(0.0000447)	0.0000781(0.0000371)	0.0000741(0.0000447)
Wx
P		−3.31E − 07 (6.25E − 07)
PME		−0.17 (0.16)
Y		0.0000593 (0.0001256)
Rho		1.04(0.0070891)
Lambda			1.04(0.0071271)
LR_direct
P		−0.000000204(1.22E − 07)	−1.78E – 07 (1.13E − 07)
PME		0.24(0.0536886)	−0.24(0.05)
Y		0.000094(0.0000446)	0.0000929( 0.0000409)
LR_indirect
P		−0.0000173 (0.0000222)	−5.40E − 06 (3.77E − 06)
PME		−12.38(6.97)	−7.23(2.42)
Y		0.0047381 (0.0042833)	0.0028055(0.0015252)
LR_total
p		−0.0000175 (0.0000223)	−5.57E − 06 (3.87E − 06)
PME		−12.62(6.99)	−7.47(2.46)
y		0.0048321 (0.0042962)	0.0028983(0.001561)
N	262	262	262	262

Note. , , and denote statistical significance levels at 10%, 5%, and 1%, respectively.