弱势群体医疗保险参与公平性及影响因素分析

发布时间：2018-10-04 23:12

【摘要】：根据罗尔斯的"最大最小"原则,将影响弱势群体参加社会医疗保险的因素分为四类:第一类是被访者自身的个人因素,包括年龄、性别、受教育程度、婚姻情况以及户口。从Probit模型分析结果看,这类因素从整体看已经没有对弱势群体的歧视。第二类是工作状况,包括是否参加工作、主要职业、工作地位、工作类型以及收入状况。这类因素体现出明显的对弱势群体的歧视。弱势群体根据划分标准的不同包括农民、退休及无业者以及低收入群体。第三类是被访者的自身健康状况,包括自评状况和预防保健。根据分析结果,健康状况不存在着明显的逆向选择效应。第四类是地区差异。根据调查数据,其分布遍及我国的9个省,医疗保险的参与率与经济实力存在一致的倾向。
[Abstract]:According to Rawls'"maximum and minimum" principle, the factors affecting the participation of vulnerable groups in social health insurance are divided into four categories: the first is the personal factors of the respondents themselves, including age, sex, education, marriage and hukou. According to the results of Probit model analysis, these factors have not discriminated against the vulnerable groups. The second category is work status, including whether to join the job, major occupation, job status, job type and income. Such factors reflect clear discrimination against vulnerable groups. Vulnerable groups are divided according to criteria, including farmers, retired and unemployed, and low-income groups. The third category is the individual health status of the interviewees, including self-assessment and preventive care. According to the results of the analysis, there was no significant adverse selection effect in health status. The fourth category is regional differences. According to the survey data, the participation rate of medical insurance is consistent with the economic strength.
【作者单位】：首都经济贸易大学劳动经济学院;河北科技师范学院财经学院;
【基金】：2012年首都经济贸易大学研究生科技创新资助项目 2011年国家社科基金项目(11BJY037) 2012年河北省社科联项目(201204115)
【分类号】：F842.6;F224

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