摘要
政府实施精准扶贫的基础是对贫困户进行精准识别,我国当前主要以人均收入为标准识别贫困户。多维贫困测量从多个具体维度识别致贫因子,便于政府对贫困户分类管理、精准施策。本文以贵州省黔东南苗族侗族自治州某县238户村民为研究对象,结合当地实际情况选取收入、教育、健康和生活条件等为贫困维度指标,构建多维度贫困测量模型,运用Alkire-Foster法对某县6个自然村238户村民进行多维度贫困测量,精准识别该地区多维度贫困状况,为地方政府在贫困问题治理创新方面提供理论依据。
The basis for the government to carry out targeted poverty alleviation is to accurately identify the poor households.At present,income is the main criterion to identify poverty in China.The measurement of multidimensional poverty can identify the factors causing poverty from several specific dimensions,which is convenient for the government to classify and manage the poverty-stricken households accurately.This paper takes the poverty situation of ethnic minority areas in Southeast Guizhou Province as the research object,selects the poverty dimension indicators according to the local actual situation,constructs a multi-dimensional poverty measurement model,and uses the Alkire-Foster method to conduct multi-dimensional poverty measurement in six ethnic villages in s county,accurately identifies the multi-dimensional poverty situation in ethnic minority areas,and provides accurate scientific basis for local governments in poverty governance innovation.
作者
滕飞
TENG Fei(School of Public Administration,Fujian Normal University,Fuzhou 350007,China)
出处
《华北水利水电大学学报（社会科学版）》
2018年第6期62-66,共5页
Journal of North China University of Water Resources and Electric Power(Social Science Edition)
