我国农村家户多维贫困脆弱性的测度分析

Measurement and Analysis of Multi-dimensional Poverty Vulnerability of Rural Households in China

文章基于脆弱性预期定义给出多维贫困脆弱性定义和构造对应数学表达式,并利用CHNS数据库数据测算我国农村多维贫困,运用三阶段可行广义最小二乘法(FGLS)进行我国农村多维贫困脆弱性的测度,借鉴Shapley分解思想对家户与平均脆弱性家庭的差进行分解,基于家户特征进行汇总分析。研究发现:多维贫困脆弱性更多地依附于多维贫困的变化而变化,家庭户主年龄越大,家庭多维贫困脆弱性越高;受教育年限越高,家庭多维贫困脆弱性越低;家户多维贫困脆弱性随家户人数的增加呈现出先减小后增大的规律;贵州、河南多维贫困脆弱率最高。

Based on the definition of vulnerability expectation,this paper gives the definition of multi-dimensional poverty vulnerability,constructs the corresponding mathematical expressions,measures the multi-dimensional rural poverty in China by using CHNS database data,and uses the three-stage feasible generalized least squares(FGLS) for the measurement of the multidimensional poverty vulnerability. Finally,Shapley decomposition thought is used for reference to decompose the difference between households and average vulnerable households,and the pooled analysis is carried out based on household characteristics. The study finds that multidimensional poverty vulnerability is more attached to the change of multi-dimensional poverty;the older the household head is,the higher the multidimensional poverty vulnerability of the family is;the longer the years of education,the lower the multidimensional poverty vulnerability of the family;multidimensional poverty vulnerability of households shows a law of decreasing first and then increasing with the increase of the number of households;Guizhou and Henan have the highest multidimensional poverty and vulnerability rates.