一维与多维标准下贫困关联性与致贫因素异同研究  

Research on the Poverty Identification,Targeting and Causes under One-dimensional and Multidimensional Poverty Framework

作　　者：高艳云[1,2] 王曦璟[1] GAO Yan-yun;WANG Xi-jing(School of Statistics,Shanxi University of Finance and Economics,Taiyuan 030005;School of Economics,Qingdao University,Qingdao 255071)

机构地区：[1]山西财经大学统计学院,太原030006 [2]青岛大学经济学院,山东青岛266071

出　　处：《软科学》2018年第12期15-18,共4页Soft Science

基　　金：国家社会科学基金项目(14ATJ003);山西省三晋学者特聘教授计划

摘　　要：首先对收入贫困与多维贫困两个标准进行了讨论,分别测度了收入标准下的收入贫困率和三维标准下的多维贫困率。又进一步设计了覆盖率、漏入率和漏出率指标,来反映两个标准下贫困家庭识别、瞄准结果的关联性。在此基础上,根据两个标准将家庭的贫困分为四种类别,分析了与双非贫困家庭相比,不同贫困类型的家庭背后致贫因素的异同性。分析结果表明:一维与多维标准下所识别的贫困家庭不完全吻合,其背后的致贫因素不完全相同。因此在实践中应该逐渐将两个标准联系起来精准识别贫困并制定相应的扶贫政策。Under one-dimensional and multidimensional poverty frameworks,this paper analyzes the similarities and differ- ences of the poverty identification,targeting and the causes of poverty.According to the covering rate,leakage and omission rate,there are still some differences of the poverty targeting.It classifies the poverty of household into four types under two frameworks including both-poverty,income poverty,multidimensional poverty and non-poverty.It uses multinomial logit model to analyze the causes of the differences of poverty.The basic conclusion is that there are differences under two poverty frameworks.It should combine two poverty identifications in practice,especially multidimensional poverty should be intro- duced gradually.

关 键 词：收入贫困 多维贫困 关联性 致贫异同 

分 类 号：C913.7[经济管理] F113.9[社会学]