农民工市民化指标体系及市民化程度测度——以上海市农民工为例

发布时间：2018-10-20 20:01

【摘要】：由于户籍制度等原因,中国农村劳动力转移依旧停留在"候鸟式"迁移阶段,没有真正实现市民化。测度农民工市民化程度并研究其影响因素,有助于统筹城乡发展并推进新型城镇化建设。基于上海市1 184份农民工调查数据,采用综合指标体系法构建农民工市民化指标体系,测算了农民工市民化程度,探讨上海市农民工市民化的影响因素。结果表明,农民工总体处在半市民化状态,而新生代农民工市民化程度略高于老一代农民工,其市民化程度分别为52.38和51.40。极低市民化状态农民工占比较低,仅为0.08%;较高市民化状态农民工占比较高,达54.48%;完全市民化状态的比例偏低,为1.69%。经济状况和基本素质为农民工市民化提供了可能,心理认知和社会接纳是农民工市民化的重要障碍因素。基于此,提出了提升农民工基本素质、消除就业歧视、推进户籍制度改革等政策建议。
[Abstract]:Because of the household registration system, the migration of rural labor force in China is still in the stage of migration of birds, without the realization of citizenship. It is helpful to plan the development of urban and rural areas and to promote the construction of new urbanization by measuring the degree of urbanization of migrant workers and studying its influencing factors. Based on the survey data of 1 184 migrant workers in Shanghai, this paper uses the method of comprehensive index system to construct the urbanization index system of migrant workers, calculates the degree of urbanization of migrant workers, and probes into the influencing factors of the urbanization of migrant workers in Shanghai. The results show that migrant workers are in a semi-municipal state, while the new generation of migrant workers are slightly higher than the old generation of migrant workers, the degree of urbanization is 52.38 and 51.40 respectively. The proportion of peasant workers in the extremely low citizen status is relatively low, only 0.08; in the higher citizen state, the proportion is higher, reaching 54.48; the proportion of the complete citizen status is low, which is 1.69. The economic situation and basic quality provide the possibility for the urbanization of migrant workers. Psychological cognition and social acceptance are the important obstacles to the urbanization of migrant workers. Based on this, this paper puts forward some policy suggestions, such as improving the basic quality of migrant workers, eliminating employment discrimination, and promoting the reform of household registration system.
【作者单位】：同济大学经济与管理学院;
【基金】：教育部哲学社会科学研究重大课题攻关项目(15JZD026) 国家自然科学基金项目(71673200) 上海高校特聘教授(东方学者)岗位计划(TP2015023)~~
【分类号】：F323.6

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