Measuring inequalities in the public health workforce at county-level Centers for Disease Control and Prevention in China

Table 2 Decomposition of inter-county inequality (n = 2712) by region for three categories of PHWs in China, 2012^a

Workforce category	Inequality measure	Overall inter-county inequality	Within- region inequality	Between- region inequality	Within- region inequality (% of overall)^b	Between- region inequality (% of overall)^c
Staff	Theil T	0.0655	0.0649	0.0008	98.9%	1.1%
Staff	Gini	0.2948
Health professionals	Theil T	0.0702	0.0692	0.0010	98.5%	1.5%
Health professionals	Gini	0.3038
Field epidemiological investigators	Theil T	0.1088	0.1084	0.0005	99.5%	0.5%
Field epidemiological investigators	Gini	0.3788

Abbreviation: PHW, public health workforce
^a Data source: National cross-sectional survey of the CDC system for 2012, Division of Disease Control and Prevention, Ministry of Health. County number is 2712 because missing data
^b Within-region inequality (% of overall) is the ratio of “within-region inequality” to “overall inter-county inequality”, and between-region inequality (% of overall) is the ratio of “between-region inequality” to “overall inter-county inequality”

ISSN: 1475-9276