摘要
基于陕西省太白县农户调研数据,利用Alkire-Foster多维贫困测度模型,对农户家庭进行多维贫困测度与分解。结果表明:单维贫困状况不容乐观,各维度贫困发生率存在显著差异;多维贫困指数变化随被剥夺维度的增加呈先上升后下降的倒U型趋势;各维度对多维贫困指数的贡献率不同,教育、健康和社会关系是贫困的主要原因;多维贫困指数存在地区差异性,不同地区各维度贡献率不同,各地区在同一维度下对多维贫困指数的贡献率也有所区别。针对以上结论,提出建立多维的贫困识别和瞄准机制、将农村居民的就业技能培训与对农村基础教育的投资力度加大同时进行、健全农村医疗体系、加强村委会建设及结合地区贫困的程度合理分配扶贫资金等精准扶贫对策建议。
Based on the survey data of rural households in Taibai County,Shanxi Province,the Alkire-Foster Multidimensional Poverty Measurement Model was used to measure and analyze the multi-dimensional poverty of rural households.The results show that the single-dimensional poverty situation is not optimistic,and there is a significant difference in the incidence of poverty in each dimension.The change of multidimensional poverty index shows an inverted U-shaped trend that increases first and then declines with the increase in the dimension of deprivation.Each dimension has a different contribution rate to the multidimensional poverty index;education,health,and social relations are the main causes of poverty.The multidimensional poverty index has regional differences,the contribution rate of each dimension in the region is different,and each region has a different contribution rate to the multidimensional poverty index in the same dimension.In view of the above conclusions,we propose to establish a multidimensional poverty identification and targeting mechanism,increase employment skills training for rural residents and increase investment in rural basic education,and improve the rural medical system,strengthen the construction of village committees,and accurately allocate poverty relief funds and other accurate poverty alleviation strategies.
作者
马明义
李桦
MA Mingyi;LI Hua(College of Economics and Management,Northwest A&F University,Yangling 712100,China)
出处
《干旱区资源与环境》
CSSCI
CSCD
北大核心
2019年第1期30-37,共8页
Journal of Arid Land Resources and Environment
基金
国家自然科学基金项目(71273211)资助
