大数据分析条件下的贫困特征识别和精准扶贫路径研究——以信阳市为例  

Research on Poverty Feature Recognition and Targeted Poverty Alleviation Path based on Big Data Analysis——Taking Xinyang City as an Example

作　　者：齐城[1] QI Cheng(Xinyang Normal University, Xinyang 464000, China)

机构地区：[1]信阳师范学院,河南信阳464000

出　　处：《信阳师范学院学报（哲学社会科学版）》2019年第2期54-59,共6页Journal of Xinyang Normal University(Philosophy and Social Sciences Edition)

基　　金：国家社科基金项目(15BSH091)

摘　　要：贫困问题是一个世界性难题,已成为当今世界最尖锐的社会问题之一。中国共产党和政府正致力于打赢脱贫攻坚战,计划到2020年,实现在现行标准下贫困人口全部脱贫的目标。文章采取大数据分析的方法,对贫困类型的多维特征和贫困形成机理进行了分析,对中国扶贫开发经历的过程进行了梳理,总结归纳了信阳市实施精准扶贫的主要做法,提出以"培育市场主体,激活内力脱贫","实施福利政策,聚合外力脱贫","完善基础设施,加速区域脱贫","建立长效机制,确保持续脱贫"为特点的发展路径,对整体脱贫后如何巩固脱贫成效,具有现实意义。Poverty, a worldwide problem, has become one of the world's most acute social problems.The Communist Party of China and the Chinese government are working to win the battle against poverty by 2020. By big data analysis, this paper analyzes the method of multidimensional characteristics about the type of poverty and poor formation mechanism, generalizes the process of China's poverty alleviation and development experience, and sums up the main methods of the Xinyang implement precise poverty alleviation, hence the development path is proposed: to cultivate the market main body and activate the internal force out of poverty, carry out welfare policy, aggregate outside force to throw off poverty, improve infrastructure and speed up regional poverty alleviation, and establish a long-term mechanism to ensure continued poverty alleviation. It is of practical significance on How to consolidate the effect of poverty alleviation .

关 键 词：信阳市 大数据分析 特征识别 精准扶贫 发展路径 

分 类 号：F323.8[经济管理—产业经济]