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中国老年人社会养老服务选择影响因素分析 被引量:1
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作者 邵思齐 《辽宁工程技术大学学报(社会科学版)》 2022年第3期202-209,共8页
运用老年人口的追踪调查数据(CLASS),分析中国老年人社会养老服务选择意愿影响因素,通过实证研究和检验总结出,性别、年龄、婚姻和受教育程度对老年人选择社会养老服务的影响较大;健康特征对老年人选择服务具有复杂的影响性;孤独感、养... 运用老年人口的追踪调查数据(CLASS),分析中国老年人社会养老服务选择意愿影响因素,通过实证研究和检验总结出,性别、年龄、婚姻和受教育程度对老年人选择社会养老服务的影响较大;健康特征对老年人选择服务具有复杂的影响性;孤独感、养儿防老观念不强的老年人则会选择社会养老服务;享有城镇职工基本养老金能够显著提高老年人选择社会养老服务的概率,但享有农村社会养老金的农村老年人选择社会养老服务的概率较低。应进一步完善中国养老服务体系。 展开更多
关键词 老龄化 社会养老 服务选择 生活照料
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An Assessment of Association between Neighborhood Socioeconomic Status and Infant Mortality in High Focus States in India
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作者 Ashish Kumar Gupta Laishram Ladusingh 《Health》 CAS 2016年第7期630-641,共12页
Neighbourhood characteristics influence infant mortality above and beyond individual/household factors. In India, there are very few studies discussing the effects of neighbourhood characteristics on infant mortality.... Neighbourhood characteristics influence infant mortality above and beyond individual/household factors. In India, there are very few studies discussing the effects of neighbourhood characteristics on infant mortality. This study examined the effect of neighbourhood socioeconomic characteristics on infant mortality using data from the India’s Third District Level Household Survey conducted in 2007-2008. Multilevel analyses applied on the representative sample of 168,625 nested within 14,193 communities using MCMC procedure. Results established that place of residence, neighbourhood socio-economic factors as important determinants of infant mortality. Overall, being born in affluent (OR: 0.79, p < 0.01), more educated (OR: 0.86, p < 0.01) and socially disadvantaged caste (OR: 0.83, p < 0.01) neighbourhood was associated with the significant reduction in hazards of infant death. The finding of this study suggests that effort should be made to reduce infant mortality in these high focus states by including policies which aim at improving infant survival in the neighbourhood that is economically and socially deprived. 展开更多
关键词 Neighborhood Effect High Focus States Infant Mortality Rate Multilevel Analysis
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