Health, income and poverty: evidence from China’s rural household survey

Table 4 Summary statistics for the regression models between health, per capita income and geographical location

Variable	Unstandardized Coefficients		Standardized Coefficients	t	Sig.	Collinearity Statistics
Variable	B	Std. Error	Beta	t	Sig.	Tolerance	VIF
(Constant)	6167	69.96		88.15	0.000
Elv	−0.120	0.037	− 0.019	−3.234	0.001	0.960	1.041
AGE60	− 419.855	40.930	−0.060	−10.258	0.000	0.914	1.094
WCP	1386.370	41.950	0.188	33.048	0.000	0.979	1.021
ND	− 569.758	67.053	−0.049	−8/497	0.000	0.963	1.038
N_NCDs	− 615.258	37.472	−0.098	−16.419	0.000	0.897	1.115
N_CDs	− 854.289	213.857	−0.023	−3.995	0.000	0.998	1.002
Adjusted R²	0.058
F(p)	305.598 (0.00)

Notes: Dependent variable: Per_GDP; Independent variable: Elv, AGE60, WCP, ND N_NCDs, N_CDs. Per_GDP is per capita GDP; Elv is the elevation of the interviewed households; AGE60 is the number of household members aged 60 and over; WCP is the number of household members with working capacity; ND, N_NCDs and N_CDs are the number of households affected by disability, NCDs and CDs, respectively. The sample size is 29,712

ISSN: 1475-9276