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Table 3 Decomposition of socioeconomic related inequality in maternal mortality ratio

From: Anatomy of provincial level inequality in maternal mortality in China during 2004–2016: a new decomposition analysis

 Direct decompositionWDW decomposition
\( \hat{\gamma} \)LogworthContribution %
(1)(2)(3)(4)
Socioeconomic condition  1.078 
 Average annual household consumption0.000*1.233 5.072
(0.000)  (13.389)
 Proportion of illiteracy−0.011*1.103 13.587*
(0.006)  (4.578)
 Proportion of college educated0.0030.119 6.198
(0.009)  (5.750)
Health resource allocation  0.286 
 Public budget in health sector per capita−0.0010.826 11.993
(0.001)  (22.169)
 Density of health providers−0.2050.764 5.447
(0.146)  (6.434)
 Density of maternal and child health hospitals0.2090.587 29.597
(0.181)  (26.293)
 Density of bedsize−0.0020.512 0.127
(0.002)  (2.468)
Access to health care  4.483 
 Maternity health insurance coverage0.0010.095 −3.811
(0.003)  (3.515)
 Premarital check-up−0.0010.252 −3.337
(0.001)  (2.949)
 Maternal health profiles creation rate0.014***4.260 −14.317
(0.003)  (10.742)
 Coverage of maternal systematic management0.0020.137 −1.067
(0.005)  (4.631)
 Prenatal check-up−0.0170.926 6.253
(0.011)  (4.244)
 Postpartum visit rate−0.0100.632 7.300
(0.008)  (9.972)
 Hospital delivery rate−0.0060.334 29.217***
(0.008)  (11.455)
 Delivery attended by professionals rate−0.0080.151 15.152*
(0.021)  (7.661)
  1. Notes: Columns (1)–(3) presents results from the direct decomposition method. The outcome variable is the individual component of the inequality index. Coefficients and standard errors clustered at province level are reported in column (1). Column (2) displays logworth values for each explanatory, and column (3) reports the logworth values for each group of variables of a given dimension. Column (4) presents results from the WDW decomposition method. Contribution percentage and bootstrap standard errors are reported. ***significant at the 1% level; **significant at the 5% level; *significant at the 10% level
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