摘要
精准识贫是快速脱贫的前提,在吸收前人研究成果的基础之上,运用改进的A-F模型进行多维贫困测度,以精准识别贫困个体;构建了涵盖健康、教育、生活条件、就业和收入等5个维度15项指标的多维贫困测度指标体系。以A市为例进行实证分析,得出A市多维贫困发生率、多维贫困指数、各指标的单维贫困发生率及其对贫困的贡献率。结果表明,就业、收入、教育维度贫困发生率高,就业是制约A市贫困个体摆脱贫困的直接原因;低收入减小了摆脱贫困的可能性,增加了陷入更深贫困的可能性;户主学历较低,影响了家庭的脱贫致富。
The accurate identification of poverty is the premise of real fast poverty alleviation,On the basis of absorbing the previous researches,the improved A-F model was used to perform the multidimensional poverty measure to accurately identify the poor individuals.A multidimensional poverty measurement index system covering 15 indicators in five dimensions,including health,education,living conditions,employment and income,has been established.The A city was taken as an example to make an empirical analysis.It is found that the incidence of poverty in the dimensions of employment,income and education is high,and employment is the direct reason that restricts the impoverished individuals in A city to get rid of poverty.Lower incomes reduce the likelihood of rising out of poverty and increase the likelihood of falling deeper into it;The lower education level of the head of the household has affected the family′s poverty.
作者
郭兴华
GUO Xinghua(Nanyang Institute of Technology,Nanyang 473004,China)
出处
《东北农业科学》
2024年第1期98-104,共7页
Journal of Northeast Agricultural Sciences
基金
河南省高等学校重点科研计划项目(15A630041)
河南省软科学计划项目(192400410125)。