Booming with Speed: High-Speed Rail and Regional Green Innovation

Table 9

Alternative measure.

	(1)	(2)	(3)	(4)	(5)	(6)	(7)	(8)
	GUMA	GIA	GUMG	GIG	GUMA	GIA	GUMG	GIG
L.Stations	0.0872	0.118	0.0764	0.0252
	(0.00924)	(0.0123)	(0.00838)	(0.00275)
L.Lines					0.0870	0.119	0.0763	0.0250
					(0.00966)	(0.0128)	(0.00866)	(0.00296)
Controls	Yes	Yes	Yes	Yes	Yes	Yes	Yes	Yes
Year	Yes	Yes	Yes	Yes	Yes	Yes	Yes	Yes
City	Yes	Yes	Yes	Yes	Yes	Yes	Yes	Yes
N	3923	3923	3923	3923	3923	3923	3923	3923
R^2	0.472	0.444	0.455	0.408	0.496	0.481	0.478	0.432

Note: the estimation sample includes 285 prefecture level and above cities in China. The sample period is from 2005 to 2018. Dependent variables are indicated by column titles in italics. Stations and Lines and all control variables are included and lagged by one year. All regressions include city fixed effects and year fixed effects. Robust standard errors in parentheses are clustered at the city level. The symbols , , and indicate significance at the 1%, 5%, and 10% levels, respectively.