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随着我国区域性贫困与绝对贫困的消除，贫困治理的重心也由绝对贫困转向多维相对贫困。农民工作为城市中的相对弱势群体，与城镇劳动者相比，其在城谋生过程中更容易陷入多维相对贫困状态。因此，探讨农民工群体多维相对贫困的空间分布、空间关联及演变特征，因地制宜改善其贫困状态，对新型城镇化进程的推进与共同富裕的实现具有重要意义。

本文基于2014—2018年全国流动人口动态监测调查数据（CMDS），首先对我国城市农民工的相对贫困现状进行了简要分析。其次，从经济条件、自我发展、生活保障三个维度选取六个指标构建农民工多维相对贫困指标体系，予以测度其在城多维剥夺状况。最后，运用GIS空间统计工具以及空间计量模型系统考察了我国265个地级及以上城市农民工多维相对贫困的空间分异及其影响因素，得出如下结论：（1）从整体上看，2014—2018年我国农民工多维相对贫困状态呈改善趋势，贫困发生率不断降低，生活保障维度指标对农民工多维相对贫困指数的贡献度呈下降趋势。（2）从空间上看，东中西三大区域、各类城市群、各级城市的农民工多维相对贫困状态整体呈现改善趋势，其中，东部地区、国家级城市群、规模大以及等级高城市的农民工多维相对贫困减缓幅度更大。我国农民工多维相对贫困分布呈现一定的空间依赖性，低—低集聚型城市主要分布在中部与西部地区。（3）从影响因素上看，农民工性别、年龄、受教育情况等个体特征与流入地财政支出、医疗服务供给、信息化建设等外部因素均影响农民工多维相对贫困状态，农民工自身教育水平和流入地基本医疗服务供给不仅能有效发挥减贫效应，该效应还呈现一定的空间溢出特征。（4）本文就如何增强城市包容性、提升城市经济发展水平与增强农民工内生发展动力提出了相关的对策建议，以期因地制宜采取措施，缩小农民工与城镇劳动者差距，从而推动新型城镇化进程与共同富裕实现。

With the complete elimination of regional poverty and absolute poverty, the focus of poverty management has shifted from absolute poverty to multidimensional relative poverty. The scope of research has expanded from rural to urban. Migrant workers are more likely to fall into multidimensional relative poverty in the process of earning a living in the city than urban workers. Therefore, it is important to explore the spatial variation, spatial correlation and determinants of the multidimensional relative poverty of migrant workers, and to improve their poverty status in accordance with local conditions, in order to promote the new urbanization process and achieve common prosperity.

This paper takes 265 prefecture-level cities in China as the basic research unit and systematically examines the spatial differentiation of multidimensional relative poverty of migrant workers and its determinants in 265 prefecture-level cities and above in China by using GIS spatial statistical tools and spatial econometric models, and draws the following conclusions are drawn. (1) From overall perspective, the multidimensional relative poverty of migrant workers in China shows improving trend, with the incidence of poverty continuously decreasing and the contribution of the living conditions dimension index to the multidimensional relative poverty index of migrant workers also shows improving trend. (2) From spatial perspective, the multidimensional relative poverty of migrant workers in the three major regions of China, various city clusters and cities at all levels shows an improving trend. The eastern region, national city clusters, large scale and high-ranking cities shows greater improving trend. The distribution of multidimensional relative poverty among migrant workers in China shows certain spatial dependence, with low-low concentration cities mainly located in the central and western regions. (3) In terms of determinants, individual determinants of migrant workers such as gender, age and education, as well as external determinants such as financial expenditure, medical service supply and information technology construction in the inflow areas all influence the multidimensional relative poverty of migrant workers, and the education level of migrant workers and basic medical service supply in the inflow areas not only play an effective role in poverty reduction, but also show certain spatial spillover characteristics. (4) This paper proposes feasible countermeasures based on migrant workers' own motivation for poverty reduction and external facilitation, with a view to narrowing the gap with urban workers and promoting the new urbanization process and the realization of common prosperity.