论大数据精准扶贫  

A Discussion on Using Big Data to Take Targeted Measures in Poverty Alleviation

作　　者：陈荣虎[1] CHEN Rong-hu(School of Management Science and Engineering,Anhui University of Technology,Ma＇anshan 243002,Anhui,China)

机构地区：[1]安徽工业大学管理科学与工程学院,安徽马鞍山243002

出　　处：《安徽工业大学学报（社会科学版）》2018年第1期3-6,共4页Journal of Anhui University of Technology：Social Sciences

基　　金：安徽省高校人文社科研究重大项目(SK2015ZD09)

摘　　要：传统的方法鉴定贫困人口存在许多困难,有必要使用大数据的方法来精准扶贫。国内外有不少利用大数据来发现贫困人口的例子。大数据技术可以准确地甄别潜在贫困人口及现有贫困人口,也可用来甄别潜在贫困区域和现有贫困区域,使政策更有效。为实现大数据精准扶贫,需要建立统一的信息网络,采用人机结合和个性化的帮扶等工作方式。Traditional methods have many difficulties in identifying the poor,so it is necessary to use big data to accurately alleviate poverty.At home and abroad,there are many examples of finding poor people by using big data.Big data can be used to accurately identify potential and existing poor people and poverty areas to make policies more effective.In order to use big data to take targeted measures in poverty alleviation,it is necessary to establish a unified information network and adopt the methods of man-machine combination and personalized assistance.

关 键 词：大数据 精准扶贫 必要性 可行性 甄别 

分 类 号：D668[政治法律—政治学] TP311.13[政治法律—中外政治制度]