2017
DOI: 10.1186/s12939-017-0624-9
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Decomposing the causes of socioeconomic-related health inequality among urban and rural populations in China: a new decomposition approach

Abstract: BackgroundIn recent decades, China has experienced tremendous economic growth and also witnessed growing socioeconomic-related health inequality. The study aims to explore the potential causes of socioeconomic-related health inequality in urban and rural areas of China over the past two decades.MethodsThis study used six waves of the China Health and Nutrition Survey (CHNS) from 1991 to 2006. The recentered influence function (RIF) regression decomposition method was employed to decompose socioeconomic-related… Show more

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Cited by 73 publications
(69 citation statements)
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References 63 publications
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“…The CI of having 5 or more prenatal visits and receiving the first prenatal visit within 12 weeks in rural areas were higher than those in urban areas, which indicates the greater inequalities in pre-delivery services utilization in rural areas. This result is also in line with the finding of a study conducted in urban and rural areas of China [25]. We also found that the CI of delivering at secondary- or higher-level health facilities had the greatest difference between urban and rural areas.…”
Section: Discussionsupporting
confidence: 92%
“…The CI of having 5 or more prenatal visits and receiving the first prenatal visit within 12 weeks in rural areas were higher than those in urban areas, which indicates the greater inequalities in pre-delivery services utilization in rural areas. This result is also in line with the finding of a study conducted in urban and rural areas of China [25]. We also found that the CI of delivering at secondary- or higher-level health facilities had the greatest difference between urban and rural areas.…”
Section: Discussionsupporting
confidence: 92%
“…This may be because rich people have access to better nutrition and health care services compared with poor people. Studies in other countries also show a negative correlation between socioeconomic status and poor SRH (2,26,32). In our study, being female was associated with a higher probability of poor SRH.…”
Section: Discussionsupporting
confidence: 76%
“…Another study in China found a similar inequality in SRH (26), and a study in Tehran also showed that poor SRH was more prevalent in poor people (2).…”
Section: Discussionmentioning
confidence: 83%
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“…(2017) used the CHNS data from 1991 to 2006 to use socioeconomic status as a control variable, and analyzed that medical insurance has improved people's outpatient and hospitalization rates [24]. Specifically, urban workers' medical insurance is most significant.…”
Section: ) Micro Levelmentioning
confidence: 99%