Health expenditure efficiency in rural China using the super-SBM model and the Malmquist productivity index

Table 2 Correlation coefficient matrix

Correlation Coefficient	PPP	EXP	NC	NTH	DA	DTH	LDT	NTH	BED	NV	NI	UB	ADH
PPP	1.000	.561^a	.403^a	.716^a	.337^a	.169^a	.216^a	.195^a	.492^a	.223^a	-.215^a	-.209^a	.207^a
EXP	0.561^a	1.000	.355^a	.703^a	.294^a	-.384^a	-.143^b	-.196^a	-.117^b	-.204^a	-.136^b	-.216^a	-.204^a
NC	0.403^a	.355^a	1.000	.532^a	.741^a	-.185^a	.215^a	0.039	.131^b	-.229^a	-0.024	-.233^a	-.200^a
NTH	0.716^a	.703^a	.532^a	1.000	.320^a	0.041	-0.062	-.210^a	0.098	.187^a	-.274^a	-.314^a	.150^a
DA	.337^a	.294^a	.741^a	.320^a	1.000	-.197^a	.166^a	0.034	.113^b	-.325^a	0.078	-.135^b	-.289^a
DTH	.169^a	-.384^a	-.185^a	0.041	-.197^a	1.000	-0.037	0.039	.351^a	.660^a	-0.040	0.090	.587^a
LDT	.216^a	-.143^b	.215^a	-0.062	.166^a	-0.037	1.000	.887^a	.598^a	-.215^a	0.111	-0.023	-.141^b
NTH	.195^a	-.196^a	0.039	-.210^a	0.034	0.039	.887^a	1.000	.636^a	-.185^a	.246^a	0.080	-.130^b
BED	.492^a	-.117^b	0.131^b	0.098	.113^b	.351^a	.598^a	.636^a	1.000	.262^a	.160^a	.164^a	.319^a
NV	.223^a	-.204^a	-.229^a	.187^a	-.325^a	.660^a	-.215^a	-.185^a	.262^a	1.000	-0.103	.294^a	.958^a
NI	-.215^a	-.136^b	-0.024	-.274^a	0.078	-0.040	0.111	.246^a	.160^a	-0.103	1.000	.774^a	-.115^b
UB	-.209^a	-.216^a	-.233^a	-.314^a	-.135^b	0.090	-0.023	0.080	.164^a	.294^a	.774^a	1.000	.326^a
ADH	.207^a	-.204^a	-.200^a	.150^a	-.289^a	.587^a	-.141^b	-.130^b	.319^a	.958^a	-.115^b	.326^a	1.000

ISSN: 1475-9276