摘要
以蚌埠市21个重点贫困村为例,通过主成分回归分析法研究贫困形成机理,构建多维贫困测度指标体系,运用A-F多维贫困测度模型,对该地区贫困程度进行测度,研究表明:蚌埠市重点贫困地区整体贫困程度有所减轻;蚌埠市重点贫困地区普遍呈现出多维贫困;产业发展不足对多维贫困贡献率最高,是该地区主要致贫原因。为加快深度贫困地区脱贫攻坚步伐,提出加大对重点贫困地区的扶贫力度;做到多维扶贫、精准扶贫;完善产业布局,加快产业发展;巩固扶贫成果,促进扶贫成果长效稳定等对策建议。
Taking 21 key poverty-stricken villages in Bengbu city as an example,it studied the mechanism of poverty formation through principal component regression analysis,constructed a multi-dimensional poverty measurement index system,and used the A-F multi-dimensional poverty measurement model to measure the poverty level in the region.The overall poverty level in key poverty-stricken areas has been reduced,the key poverty-stricken areas in Bengbu city have generally presented multi-dimensional poverty,the lack of industrial development has the highest contribution rate to multi-dimensional poverty,which is the main cause of poverty in the region. In order to accelerate the pace of poverty alleviation in deep poverty-stricken areas,it was proposed to increase poverty alleviation in key poverty-stricken areas,achieve multi-dimensional poverty alleviation and precise poverty alleviation,improve industrial layout and accelerate industrial development,consolidate poverty alleviation achievements and promote long-term stability of poverty alleviation.
作者
钱力
倪修凤
QIAN Li;NI Xiu-feng(School of Economics,Anhui University of Finance and Economics,Bengbu,233030,Anhui)
出处
《蚌埠学院学报》
2019年第1期118-124,共7页
Journal of Bengbu University
基金
蚌埠市社会科学规划项目(BB18C003)
关键词
深度贫困地区
贫困现状
脱贫对策
deep poverty areas
poverty status
poverty alleviation countermeasures