吉首大学学报(自然科学版) ›› 2020, Vol. 41 ›› Issue (5): 92-96.DOI: 10.13438/j.cnki.jdzk.2020.05.017

• 经济 • 上一篇    

大数据技术与民族地区智慧扶贫

杨勇,付强   

  1. (1.西南民族大学管理学院,四川 成都 610041;2.西南民族大学 期刊社,四川 成都 610041)
  • 出版日期:2020-09-25 发布日期:2021-02-04
  • 基金资助:
    付强(1965—)男,四川成都人,西南民族大学管理学院教授,期刊社副主编,博士,主要从事管理科学与工程研究.

Big Data Technology and Targeted Poverty Alleviation in Post-Poverty-Alleviation Era

YANG Yong, FU Qiang   

  1. (1.School of Management, Southwest Minzu University, Chengdu 620041, China;2.Department of Journals, Southwest Minzu University, Chengdu 620041, China)
  • Online:2020-09-25 Published:2021-02-04

摘要:以服务民族地区后扶贫时代全面精准脱贫的现实需要为目的,对大数据技术与民族地区精准帮扶工作的关联点、契合点进行了分析,探讨了大数据在精准扶贫当中的技术优势,提出了建设乡村大数据基础设施、打造网络大数据技术队伍、开展大数据技术贫困治理等实现民族地区智慧脱贫的有效途径,为我国民族地区的全面精准脱贫提供指导.

关键词: 民族地区, 大数据技术, 智慧扶贫

Abstract: To achieve comprehensive and targeted poverty alleviation in ethnic minority area, the article analyzes the association points between big data technology and targeted poverty alleviation. It explores the technological advantages of big data for targeted poverty reduction and then puts forward efficient paths to achieve intelligent poverty alleviation, such as how to construct rural big data infrastructure, to cultivate big data technical team, to work on poverty governance by big data, which would provide guidance for comprehensive and targeted poverty alleviation in the ethnic minority areas.

Key words: ethnic minority area, post-poverty-alleviation-era,  , intelligent poverty alleviation

公众号 电子书橱 超星期刊 手机浏览 在线QQ