基于两阶段灰色聚类法的中国流动人口社会保障水平评价研究

Yifan Wang, Yu Zhang
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引用次数: 0

摘要

受地方化管理等因素的制约,中国流动人口的社会保障水平参差不齐。本研究利用2014年全国人口动态监测数据,以就业与生活状况、社会保险、住房与生活状况、公共卫生与健康状况四个一级指标和两阶段灰色聚类模型为基础,选取全国31个省(市、区)的21个三级指标来评价流动人口的社会保障水平。评价结果表明,随着中国政策的实施,有20个省份的流动人口社会保障水平在两阶段结果中处于强灰色,流动人口的社会保障水平较好;但调整后,中等水平为8,青海被加入弱类。本研究主要针对流动人口社会保障的中弱地区提出对策建议。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research on the evaluation of the level of social security of floating population in China based on the two stage grey clustering method
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.
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