精准扶贫中数据的精准处理研究--以楚雄州姚安县前场镇和沙桥镇为例

摘要

Eliminate poverty is still the biggest global complicated challenges facing the world today. In order to find the root of poverty,targeted therapy,and analyze the poverty with multi-dimension, the techniques developed to measure multiple dimensional data were introduced to the study on charac-teristics and causes of the poverty in this paper.A case study was performed on 1 16 poverty families in Qianchang and Shaqiao,which are located in Chuxiong YiAutonomous Prefecture in Yunnan Province, China.The results showed:(1 ) There are four main poverty reasons in local poor families,including lacking of funding,technology,industry and convenient transportation,which are the focus of future poverty alleviation in Chuxiong.While,Lacking of labor,drinking water and spending type poverty reasons are minor causes for local poor families.Thus,in order to eliminate poverty from the “root”, general solutions should be adopted aiming at main difficulties,and special supporting measures should be carried out to help each family aiming at specific difficulties. (2) The multiple dimensional data analyzing techniques is possible to target the poor families,to compare the composition of poverty,to monitor the level and reduction of poverty accurately.%为了多角度、多层次剖析云南省贫困地区的贫困现状，本研究运用多维数据分析法对云南省楚雄州姚安县前场镇、南华县沙桥镇贫困户的家庭基本情况进行了量化分析，逐层分析当地致贫原因。结果表明：（1）缺资金、缺技术、缺产业和交通不便是当地主要致贫原因，缺劳动力、饮水困难和部分支出型贫困原因是当地次要致贫原因。实施精准扶贫战略，应采取整体帮扶措施解决当地普遍性困难，同时逐层梳理贫困户的具体信息，采取特殊帮扶措施，帮助农户尽快脱贫。（2）复合多维数据分析方法在多维贫困量化研究中具有较强的适用性，补充了一维贫困量化研究和定性分析中的不足，为扶贫对象的“精准识别”“深入分析”“精准管理”和“精准帮扶”提供了客观依据。