基于多维贫困测度的我国高质量脱贫研究  

Research on China′s High Quality Poverty Alleviation Based on Multi-dimensional Poverty Measure

作　　者：侯军岐[1] 郑盼盼 HOU Junqi;ZHENG Panpan(College of Economics and Management,Beijing Information Science and Technology University,Beijing 100101)

机构地区：[1]北京信息科技大学经济管理学院,北京100101

出　　处：《北方园艺》2020年第17期160-165,共6页Northern Horticulture

基　　金：北京市社会科学基金研究基地重点资助项目(17JDGLA037);北京信息科技大学科研水平提高重点研究培育资助项目(BX5211823509);北京市教委重点资助项目。

摘　　要：基于对甘肃省农村家庭的调查数据,采用"AF"双界限多维贫困测量方法,对甘肃省4个市(州)共9个县的农村居民家庭进行了多维贫困测度和分解。结果表明:甘肃省农村家庭在教育年限、卫生设施、社会资本指标维度上的单维贫困发生率较高,且普遍存在多维贫困,其中农户的三维贫困发生率高达85.8%。进一步对多维贫困指数分解后发现,农户在教育、社会资本、医疗指标维度对多维贫困的贡献率较大,饮用水和住房的贡献率最低,但随着k值的增加,收入维度的贡献率取代了资本维度的贡献率。该分析结果说明,甘肃省扶贫工作要针对人群,因人制宜,加大识别精准度,提供有效的扶贫政策,实现高质量脱贫。Based on the survey data of rural families in Gansu Province,‘AF’double-boundary multi-dimensional poverty measurement method was used,in order to measure and decompose the multi-dimensional poverty of rural households in 9 counties of four cities(states)in Gansu Province.The results showed that the incidence of single-dimensional poverty in rural households in Gansu Province was higher in terms of years of education,health facilities and social capital indicators,and there was widespread multi-dimensional poverty,in which the 3-dimensional poverty incidence rate of farmers was as high as 85.8%.After further decomposing the multidimensional poverty index,it was founded that the contribution rate of the education,medical care and social capital indicators to the multidimensional poverty was relatively large,and the contribution rate of drinking water and housing was the lowest,but with the increase of the k value,the contribution rate of the income dimension.It replaced the contribution rate of the capital dimension.The results of the analysis showed that the poverty alleviation work in Gansu Province should target the population,adapt to people′s needs,increase the accuracy of identification,provide effective poverty alleviation policies,realizing high quality poverty alleviation.

关 键 词：甘肃省农村家庭 多维贫困 “AF”测量方法 MPI 高质量脱贫 

分 类 号：F323.8[经济管理—产业经济]