上海市灵活就业流动人口养老保险参保影响因素分析

发布时间：2018-02-08 16:04

本文关键词： 灵活就业流动人口养老保险制度供给　出处：《华东师范大学》2012年硕士论文　论文类型：学位论文

【摘要】：随着流动人口大量进入城市,就业形式日趋灵活多样,传统土地和家庭保障抵御风险能力的降低,灵活就业流动人口的养老保险问题受到广泛关注。本文的研究目的是分析上海市灵活就业流动人口养老保险的参保情况,通过定性和定量研究发现可能影响该群体参保的因素,为相关制度设计提供参考依据。本文以2010年上海市流动人口监测数据为基础,运用Logistic回归分析模型研究灵活就业流动人口养老保险参保的影响因素,通过不同就业身份的流动人口相同解释变量回归分析结果的对比发现灵活就业流动人口参保影响因素的特殊点；并通过AHP层次分析法在微观研究的基础上针对宏观制度设计供给力对养老保险参保影响因素进行分析；在数据分析的基础上,通过对部分灵活就业流动人口的深入个案访谈,探索该群体参保意愿、期望的参保模型等更深层次影响因素,分析意愿和参保结果发生背离可能的原因。首先,本文采用了统计分析以及决策分析方法,较为全面的分析了上海地区灵活就业流动人口养老保险参保的影响因素。研究发现：通过回归分析和层次分析法,对比不同就业身份流动人口,个人因素、经济因素、家庭因素对正规就业流动人口参保呈现出显著性的影响,而灵活就业流动人口的主要影响因素是就业因素、经济因素、制度因素；其次,为了更好的论证数据统计分析的结果以及了解灵活就业流动人口社会保险参保意愿、期望模型等问题,本文还运用了个案访谈的方法对一些灵活就业的流动人口养老保险的参保问题进行了深入的访谈。访谈中也发现,个人因素、就业因素、制度因素、经济因素以及家庭因素等因素在不同的受访者个案中得到了相应的解释和关注。
[Abstract]:As the floating population enters cities in large numbers, the forms of employment become more and more flexible, and the ability of traditional land and family security to resist risks decreases. The purpose of this paper is to analyze the situation of pension insurance of flexible employment floating population in Shanghai, and to find out the factors that may affect the participation of this group through qualitative and quantitative research. To provide reference for the design of relevant systems. Based on the monitoring data of floating population in Shanghai in 2010, this paper uses Logistic regression analysis model to study the influencing factors of pension insurance for flexible employment floating population. By comparing the results of the regression analysis of the same explanatory variables of the floating population with different employment status, we find the special points of the factors affecting the insurance participation of the floating population with flexible employment. And through AHP Analytic hierarchy process on the basis of micro research on the macro system design supply forces to the pension insurance insurance impact factors are analyzed; on the basis of data analysis through part of flexible employment floating population in-depth case interview. To explore the further factors such as the willingness to participate in insurance, the expected model of participation, and to analyze the possible reasons for the deviation between willingness and the result of participating insurance. First of all, this paper uses the statistical analysis and decision-making analysis method, more comprehensive analysis of the Shanghai area flexible employment floating population pension insurance insurance factors, the study found: through regression analysis and analytic hierarchy process, Compared with the floating population with different employment status, personal factors, economic factors and family factors, there is a significant impact on the participation of regular employment floating population, while the main influencing factors of flexible employment floating population are employment factors and economic factors. Secondly, in order to better demonstrate the results of statistical analysis of data and to understand the willingness to participate in social insurance of flexible employment floating population, the expected model, and so on, This article also uses the case interview method to carry on the in-depth interview to some flexible employment floating population pension insurance participation question. In the interview also discovered, the personal factor, the employment factor, the system factor, the system factor, the personal factor, the employment factor, the system factor, the personal factor, the employment factor, the system factor, Economic factors, family factors and other factors in different interviewee cases have been the corresponding explanation and attention.
【学位授予单位】：华东师范大学
【学位级别】：硕士
【学位授予年份】：2012
【分类号】：C924.2;F842.6;F224

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