Table 4.

The regression results of the heterogeneous analysis.

Variables	(1)	(2)	(3)	(4)	(5)	(6)	(7)	(8)
	Flow distance		Age difference		Urban-rural difference		Gender difference
	Cross-provincial	Intra-provincial	15–59	≥60	Rural	Urban	Male	Female
Treat	0.016	0.055***	0.022*	0.191***	0.038***	0.029	0.010	0.055***
	(0.013)	(0.013)	(0.010)	(0.032)	(0.011)	(0.016)	(0.013)	(0.013)
Control variables	Controlled	Controlled	Controlled	Controlled	Controlled	Controlled	Controlled	Controlled
Pseudo R2	0.108	0.142	0.084	0.094	0.121	0.139	0.115	0.139
Observations	76,646	74,993	145,471	6,168	104,228	47,411	77,969	73,670
Variables	(9)	(10)	(11)	(12)	(13)
	Low income	Middle low income	Middle income	Middle high income	High income
Treat	0.077***	0.028	0.034	−0.002	0.005
	(0.019)	(0.022)	(0.021)	(0.018)	(0.025)
Control variables	Controlled	Controlled	Controlled	Controlled	Controlled
Pseudo R2	0.172	0.097	0.088	0.077	0.084
Observations	35,873	26,499	29,067	40,579	19,621

^*, and ^***represent p < 0.05, and p < 0.001, respectively; Due to limited space, the results of controlled variables were not reported here.