对多维贫困指标和权重的探索--基于CFPS数据的分析  被引量:14

An Exploration of Multidimensional Poverty Indicators and Weights:An Analysis Based on CFPS Data

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作  者:李峰[1] 罗良清[1] 潘露露 LI Feng;LUO Liang-qing;PAN Lu-lu(Jiangxi University of Finance and Economics,Nanchang 330013,China)

机构地区:[1]江西财经大学统计学院,江西南昌330013

出  处:《江西财经大学学报》2018年第6期82-93,共12页Journal of Jiangxi University of Finance and Economics

基  金:国家社会科学基金重大项目“贫困退出考核评估的统计测度研究”(17ZDA094).

摘  要:如何精准识别贫困户和脱贫户是脱贫攻坚工作中经常遇到的问题,合适的剥夺指标和合理的权重设置有助于减少模糊地带。通过对CFPS2014年的数据分析,对其中涉及贫困的指标逐一梳理,进而对初步筛选出的指标以项目反应理论进行分析,确定9个难度适宜、指向清晰的指标。在指标难度的基础上设置相应权重,并和等权方法比较各指标贡献率和筛选贫困家庭的比例,发现难度权重的方法可以减少"漏报"贫困家庭的情况。How to accurately identify poor households and poverty alleviation households is a problem often encountered in poverty alleviation work.Appropriate deprivation indicators and reasonable weight setting can help reduce the blurring zone.Through the analysis of CFPS data in 2014, this paper firstly sorts out the indicators related to poverty one by one,then it conducts an analysis of the initially selected indicators with the project response theory,so as to determine the nine indicators which are appropriate in difficulty and clear in direction.Based on the difficulty of the indicator, the corresponding weights are set,and the contribution rate of each indicator is compared with the equal weight method,so as to sift the proportion of the needy families.It is found that the 'difficulty weight method can reduce the failures in reporting the poor families.

关 键 词:多维贫困 项目反应理论 CFPS 

分 类 号:C812[社会学—统计学]

 

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