摘要
文章运用CFPS数据构建农民工多维贫困测度指标体系,从行业异质性视角探究农民工贫困状况。研究结果发现:农民工大部分指标的贫困发生率都呈逐年递减趋势,慢性病、身体质量指数和工作时间导致的贫困发生率呈逐年递增趋势,而居住拥挤、公积金和组织参与等存在"贫困固化"现象。贫困发生率由高到低的行业分别为制造业、服务业、建筑业、技术业和其他行业,建筑业和服务业农民工的多维贫困指数相对较高,各行业农民工多维贫困指数呈"螺旋式"下降趋势。不同指标对各行业农民工多维贫困指数的贡献都存在较大差异,各行业农民工多维贫困主要由年收入、非学历教育、互联网使用、公积金和组织参与等指标所贡献,而收入贫困贡献率呈现明显的行业差异。制造业和服务业的农民工和城镇居民的多维贫困程度更为严重,且农民工在教育、生活和工作维度要比城镇居民的贫困程度更高。
This paper uses CFPS data to construct a multi-dimensional poverty measurement index system for migrant workers,and explores the poverty status of migrant workers from the perspective of industry heterogeneity.The study results go as follows:The poverty incidence of most indicators of migrant workers shows a decreasing trend year by year,and the poverty incidence related to chronic diseases,body mass index and working hours is increasing year by year,while the phenomenon of"poverty solidification"exists in the aspect of residential crowding,provident fund and organization participation.The industries with a high to low poverty incidence are manufacturing,service,construction,technology and other industries,with the multi-dimensional poverty indexes of migrant workers in construction and service industries relatively high,and that of migrant workers in various industries showing a downward spiral trend.The contribution of different indicators to the multi-dimensional poverty index of migrant workers varies greatly with industries.The multi-dimensional poverty of migrant workers in various industries is mainly contributed by annual income,non-academic education,the Internet use,provident fund and organizational participation,while the contribution rate of income poverty presents obvious industry difference.The multidimensional poverty of migrant workers and urban residents in manufacturing and service industries is more serious,and the poverty of migrant workers in the dimension of education,life and work is higher than that of urban residents.
作者
彭继权
Peng Jiquan(School of Economics,Jiangxi University of Finance and Economics,Nanchang 330013,China)
出处
《统计与决策》
CSSCI
北大核心
2021年第7期57-62,共6页
Statistics & Decision
基金
国家自然科学基金资助项目(72063012)
国家社会科学基金资助项目(20CZZ031)
教育部人文社会科学研究基金项目(20YJC790103)
深圳市哲学社会科学规划课题(SZ2020C013)
江西省社会科学规划项目(20YJ33)
中国博士后科学基金面上项目(2020M671964)
关键词
农民工
行业异质性
多维贫困
贫困分解
migrant workers
industry heterogeneity
multi-dimensional poverty
poverty decomposition
