基于Alkire-Foster模型的多维贫困测度影响因素敏感性研究——基于粤北山区农村家庭的调查数据  

Research on Dimension Sensitivity of Multidimensional Poverty Based on the Alkire-Foster Model——Based on The survey data of rural households in mountain area of northern Guangdong

作　　者：陈辉[1] 张全红[2] 

机构地区：[1]五邑大学经济管理学院,广东江门529020 [2]湖北经济学院经济学系,湖北武汉430250

出　　处：《数学的实践与认识》2016年第11期91-98,共8页Mathematics in Practice and Theory

基　　金：国家社会科学基金"当前中国农村多维贫困的测度与反贫困政策研究"(11BJL040);教育部人文社会科学研究规划基金项目"罗尔斯正义原则视角下我国农村金融体系独立性重构研究"(14YJAZH075);五邑大学青年科研基金项目"粤北山区多维贫困测度与维度敏感性研究"(2013SK09)

摘　　要：贫困测度是贫困研究的基础.论文以Alkire-Foster多维贫困测度模型为基础,构建多维贫困影响因素敏感性分析模型,并运用该模型对粤北山区农村家庭进行实证分析,发现:在厨房燃料和教育两个维度贫困发生率高;贫困发生率对教育和居住条件两个指标贫困线的变化较为敏感;权重的改变对测度结果的影响比较大,特别是当被剥夺的临界值k较小时,多维贫困发生率对权重变化更为敏感.Poverty measurement is the base of poverty research.Based on the Alkire-Foster model,the paper formulates the model of sensitivity analysis on multidimensional poverty,and by applying the model,does an empirical analysis on rural mountain area in northern Guangdong.It is found that the rural families＇ poverty headcount ratio is higher in dimensions of cooking fuel and education;the poverty headcount ratio is sensitive to the change of poverty lines in education and housing conditions dimensions;the weights of indices influence the outcome of measurement.Especially,when the critical value of deprivation k is comparatively small,the multidimensional poverty headcount ratio is more sensitive to the change of indices weights.

关 键 词：多维贫困测度 敏感性分析 Alkire-Foster模型 粤北山区 

分 类 号：F323.8[经济管理—产业经济] F224