摘要
采用AHP-TOPSIS分析法对不同地区的返贫风险等级进行实证分析,结果表明:在产业发展风险、疾病风险、政策风险、道德风险和协同不足风险中,疾病风险尤其是恶性疾病是造成返贫最主要的因素。基于返贫因素权重计算的贴近度指标能有效识別和比较不同地区的返贫风险,且预测准确率高。
The AHP-TOPSIS analysis method is used to compare and analyze the risk levels of returning to poverty in different regions. The results show that disease risk, especially malignant disease, is the most important factor causing returning to poverty among industrial development risk, disease risk, policy risk, moral risk and lack of coordination risk. The closeness index calculated based on the weight of returning poverty factors can effectively identify and compare the risk of returning poverty in different regions, and the prediction accuracy is high.
作者
黄海棠
蔡创能
滕剑仑
HUANG Haitang;CAI Chuangneng;TENG Jianlun(College of Economics and Management,Sanming University,Sanming,Fujian 365004,China;College of Accounting and Auditing,Guangxi University of Finance and Economics,Nanning,Guangxi 530003,China)
出处
《宜宾学院学报》
2022年第1期13-20,共8页
Journal of Yibin University
基金
福建省科技厅创新战略研究计划项目(2020R0122)
福建省科技厅软科学项目(2017R0095/2019R0089)
福建省社会科学规划一般项目(FJ2017B110)
福建省社会科学规划青年项目(FJ2018C034)
2018年福建省教育厅中青年教师教育科研项目、校内项目“新媒体时代‘幼儿园家庭教育指导微讯息库’的开发及实效性研究”(JAS180460/A201820)。
关键词
返贫
风险评估
层次分析法
逼近理想解法
returning to poverty
risk assessment
analytic hierarchy process
technique for order preference by similarity to ideal solution