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流動人口醫(yī)療保險參保影響因素分析

發(fā)布時間:2018-12-13 01:15
【摘要】:目的分析2011年中國家庭金融調(diào)查數(shù)據(jù),從勞務(wù)價值和個體特征視角探討影響流動人口醫(yī)療保險參保的因素。方法基于醫(yī)療保險需求理論,以勞務(wù)價值因素和個體特征因素為自變量,是否參加醫(yī)療保險作為因變量,建立流動人口醫(yī)療保險參保模型,基于該模型,運用Logistic回歸對數(shù)據(jù)進(jìn)行實證分析。結(jié)果流動人口醫(yī)療保險參保率為69.85%;勞務(wù)價值因素中受教育程度、職業(yè)類型、職稱、日均工作時間和收入水平影響流動人口參加醫(yī)療保險(P均0.05);個體特征因素中居住時間、健康水平、家庭規(guī)模影響流動人口參加醫(yī)療保險(P均0.05)。結(jié)論勞務(wù)價值和個體特征因素影響流動人口參加醫(yī)療保險,應(yīng)"加大宣傳、加強監(jiān)督",進(jìn)而促進(jìn)流動人口參加醫(yī)療保險。
[Abstract]:Objective to analyze the data of Chinese family finance survey in 2011, and to discuss the factors influencing the insurance coverage of floating population from the perspective of labor value and individual characteristics. Methods based on the theory of medical insurance demand, taking labor value factor and individual characteristic factor as independent variables, whether to participate in medical insurance as dependent variable, a model of floating population medical insurance was established, based on the model. Logistic regression is used to analyze the data. Results the rate of participating in medical insurance of floating population was 69.85, the education level, occupation type, professional title, daily working time and income level of the floating population affected the participation of medical insurance (all P 0.05). Living time, health level and family size influenced the floating population's participation in medical insurance (all P 0.05). Conclusion the value of labor service and individual characteristic factors influence the floating population to participate in medical insurance, so it is necessary to "increase propaganda and strengthen supervision" so as to promote the floating population to participate in medical insurance.
【作者單位】: 山東大學(xué)公共衛(wèi)生學(xué)院社會醫(yī)學(xué)與衛(wèi)生事業(yè)管理學(xué)系;
【基金】:國家自然科學(xué)基金(71303137)
【分類號】:R197.1;F842.684

【參考文獻(xiàn)】

相關(guān)期刊論文 前8條

1 尹志鋒;郭琳;車士義;;流動人口的社會保障狀況及影響因素分析——基于2006年北京市的微觀數(shù)據(jù)[J];北京科技大學(xué)學(xué)報(社會科學(xué)版);2010年02期

2 郭瑜;;影響農(nóng)民工參與城鎮(zhèn)社會保障體系的因素——運用Probit模型的實證分析[J];調(diào)研世界;2011年01期

3 仇葉龍;韓優(yōu)莉;李f,

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