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

Table 3 Partial correlation analysis results

Control variable	Variable	Per_GDP	AGE60	WCP	ND	N_NCDs	N_CDs	Elv
No	Per_GDP	1	− 0.12***	0.20***	−0.05***	− 0.12***	− 0.02***	− 0.02***
	AGE60	−0.10***	1	−0.09***	0.05***	0.25***	0.001	−0.14***
	WCP	0.20***	−0.10***	1	−0.07***	− 0.07	− 0.04***	0.09***
	ND	−0.05***	0.05***	−0.07***	1	−0.14***	− 0.03***	− 0.05***
	N_NCDs	− 0.12***	0.25***	− 0.07***	− 0.14***	1	− 0.02***	− 0.14***
	N_CDs	−0.02***	0.001	−0.04	− 0.03***	− 0.02***	1	− 0.01*
	Elv	−0.02***	− 0.14***	0.09***	− 0.05***	− 0.14***	− 0.010*	1
Elv	Per_GDP	1	−0.10***	0.20***	−0.05***	−0.15***	− 0.02***
	AGE60	−0.10***	1	−0.08***	0.04***	0.24***	0
	WCP	0.20***	−0.08***	1	−0.07***	−0.06***	− 0.003
	ND	−0.05***	0.04***	−0.07***	1	−0.15***	−0.03***
	N_NCDs	−0.12***	0.24***	−0.06***	−0.15***	1	−0.02***
	N_CDs	−0.02***	0	0	−0.03***	−0.02***	1

Notes: Per GDP is per capita GDP; 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; and Elv is the elevation of the interviewed households’ residence. The sample size is 29,712. * Indicate statistical significance at the 10% level. *** Indicate statistical significance at the 1% level

ISSN: 1475-9276