摘要
解决贫困问题的前提是要精准识别。本文使用多维度测评的组合赋权模型,基于贵州277份问卷的数据,对贫困识别进行微观分析,发现全部贫困家庭皆能通过测评模型进行准确评分并判断其贫困程度,其中83.8%的家庭位于贫困线以下。从贫困识别的多维度测评的发展状况看来,本文的组合赋权方法对贫困数据的处理具有现实参考价值。
Precise identification is the prerequisite of solving the problem of poverty.Based on the data of 277 questionnaires in Guizhou province,this paper applied the combination weighting model of multi-dimensional evaluation to a micro-analysis on the identification of poverty alleviation.It was found that all the poor families could be accurately scored and made a judgment on their poverty level through the evaluation model,among which 83.8%were below the poverty line.From the development of multi-dimensional evaluation of poverty identification,the combination weighting method in this paper had practical significance and reference value for the processing of poverty data.
作者
伍国勇
张丽婧
任秀
Wu Guoyong;Zhang Lijing;Ren Xiu
出处
《南方治理评论》
2019年第1期168-184,226,共18页
SOUTH CHINA GOVERNANCE REVIEW
基金
2014年贵州大学文科重大项目“农业生态安全问题的经济学研究”(编号:GDZT201401)
2016年国家社科基金重点项目“IAD框架下主动协商型扶贫开发模式研究”
2016年贵州省软件科学项目“农村产权改革与精准扶贫的对接研究”
2017年贵州大学农林经济管理国内一流学科建设项目(编号:GNYL [2017] 002)
关键词
贫困识别
组合赋权
多维测度
Poverty Identification
Combination Weighting
Multi-dimensional Evaluation