Table 4.

The impact of increment of government economic growth expectations on air pollution

	OLS regression results		Instrumental variable regression results
	(1)	(2)	(3)	(4)
	SO2	PM2.5	SO2	PM2.5
sjm	1.116	− 0.089	22.334**	3.018*
	(0.694)	(0.115)	(10.772)	(1.724)
gdp	− 0.218	0.009	− 0.306*	0.003
	(0.133)	(0.022)	(0.184)	(0.029)
fdib	− 6.907**	1.600**	− 15.537***	1.112
	(3.186)	(0.525)	(4.716)	(0.755)
govb	0.273	− 0.026	− 0.210	− 0.084
	(0.274)	(0.045)	(0.400)	(0.064)
cyjg	1.587***	0.052	− 0.195	− 0.138
	(0.357)	(0.059)	(0.892)	(0.143)
rd	− 13.162**	1.440*	− 7.200	4.056**
	(4.891)	(0.807)	(8.342)	(1.335)
wage	− 0.063	− 0.000	0.039	0.021
	(0.045)	(0.007)	(0.087)	(0.014)
mal	0.004	− 0.004	− 0.040	− 0.008
	(0.064)	(0.011)	(0.080)	(0.013)
age	0.008**	− 0.000	0.005	− 0.001
	(0.004)	(0.001)	(0.005)	(0.001)
maj	− 0.009	− 0.001	− 0.034	− 0.001
	(0.034)	(0.006)	(0.044)	(0.007)
xl	− 0.010	− 0.001	− 0.081	− 0.010
	(0.036)	(0.006)	(0.056)	(0.009)
_cons	14.690***	3.720***	16.610***	3.806***
	(2.119)	(0.349)	(2.938)	(0.470)
Time effect	Yes	Yes	Yes	Yes
Regional effect	Yes	Yes	Yes	Yes
N	2203	2203	1969	1969
R-sq	0.817	0.974	0.750	0.967

Note: Standard errors are in parentheses, and ***, **, and * indicate significant at the levels of 1%, 5%, and 10%, respectively