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Research on the evaluation of the level of social security of floating population in China based on the two stage grey clustering method

机译：基于两阶段灰色聚类的中国流动人口社会保障水平评价研究

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Restricted by the localization management and other factors, the social security level of the floating population in China is quite different. This study used the 2014 national population dynamic monitoring data, employment and living conditions, social insurance, housing and living conditions, public health and health conditions of the four first level indexes and two stage grey clustering model selected 21 level three indexes based on the country's 31 provinces (cities, districts) to evaluate the flow the population level of social security. The evaluation result shows that with the implementation of the Chinese policy, there are 20 provinces in the floating population social security level in the strong gray in the two stage results, the social security level of the floating population is better; but after adjusting, the medium level is 8, and Qinghai is added to the weak class. This study puts forward countermeasures and suggestions mainly about floating population social security countermeasures of moderate and weak areas.
机译：受本地化管理等因素的制约，中国流动人口的社会保障水平存在很大差异。本研究使用2014年全国人口动态监测数据，就业和生活状况，社会保险，住房和生活状况，公共卫生和健康状况的四个一级指标和两阶段灰色聚类模型，根据该国的21个三级指标选择了对31个省（市，区）流动人口的社会保障水平进行评估。评价结果表明，随着中国政策的实施，两个阶段的结果中有20个省的流动人口社会保障水平处于强灰色状态，流动人口的社会保障水平较好。但经过调整后，中级为8级，青海又加入了弱势阶层。本文主要针对中，弱地区流动人口的社会保障对策提出对策和建议。

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