进城农民工多维贫困测度及其影响因素分析以广东省佛山市为例

Multidimensional Poverty Measurement of Migrant Workers in Urban Areas and Its Influencing Factors AnalysisA Case Study of Foshan City, Guangdong Province

  • 摘要:
    目的/意义 在消除绝对贫困和全面建成小康社会之后,提出一个关于农民工多维贫困影响机理的研究框架,以期为农民工相对贫困治理提供参考,助推中国新型城镇化和共同富裕建设。
    方法/过程 基于广东省佛山市进城农民工的300份问卷调查数据,采用A-F法和二元Logistic回归模型研究农民工多维贫困特征和影响因素。
    结果/结论 (1)在k=0.33时,农民工多维贫困发生率达81%,贫困发生率较高;(2)教育与技能、住房状况、收入与资产等维度贫困贡献率较高;(3)职业技术水平、工作与居住地区位、家庭结构、社会资本等是进城务工农民多维贫困的主要致贫因子。

     

    Abstract:
    Objective/Meaning After the complete eradication of absolute poverty and the achievement of a moderately prosperous society, a research framework on the impact mechanism of multidimensional poverty of migrant workers was proposed, in order to provide reference for the relative poverty governance of migrant workers, and promote the construction of new urbanization and common prosperity in China.
    Methods/Procedures Based on the data of 300 questionnaires of migrant workers in Foshan City, Guangdong Province, the Alkire-Foster (A-F) method and Binary Logistic Regression Model were used to study he multidimensional poverty characteristics of migrant workers and the factors influencing them.
    Results/Conclusions (1) When k=0.33, the multidimensional poverty incidence of migrant workers reached 81%, indicating a high poverty rate; (2) The dimensions such as education and skills, housing conditions, and income and assets contributed the most to poverty; (3) The factors such as vocational and technical level, work and residence location, family structure, and social capital were the main causes of multidimensional poverty among the rural migrant workers.

     

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