Does the immediate reimbursement of medical insurance reduce the socioeconomic inequality in health among the floating population? Evidence from China

Table 5 The relationship between the number of qualified hospitals and socioeconomic inequality in health (N=524)

	Coefficient (95% CI)	P value	Coefficient (95% CI)	P value
Hospitals	-0.035 (-0.074–0.005)	0.083	-
Primary hospitals	-		-0.007 (-0.093–0.077)	0.856
Secondary hospitals	-		0.089 (-0.204–0.382)	0.542
Tertiary hospitals	-		-0.316 (-0.617—-0.015)	0.040
Gini coefficient	0.184 (-0.3906–0.7580)	0.519	0.2138 (-0.3564–0.7840)	0.450
Average age	0.004 (-0.007–0.015)	0.457	0.003 (-0.008–0.015)	0.542
Male ratio	-0.026 (-0.379–0.327)	0.881	-0.030 (-0.384–0.323)	0.863
Marriage rate	-0.022 (-0.456–0.412)	0.919	-0.030 (-0.460–0.399)	0.887
Proportion of rural population	-0.210 (-0.638–0.218)	0.325	-0.208 (-0.641–0.225)	0.336
Years of schooling	0.005 (-0.035–0.045)	0.789	0.008 (-0.033–0.048)	0.697
Proportion of willingness to settle	-0.329 (-0.656—-0.001)	0.050	-0.320 (-0.645–0.006)	0.054
Year fixed effects	control		control
District fixed effects	control		control

The dependent variable is WI. Here, we used city-level balanced panel data. The generalized linear model was employed. The data were also adjusted for year and district effects. The standard errors were clustered at the district level. The 95% confident level were reported in parentheses

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