湖北农业科学 ›› 2021, Vol. 60 ›› Issue (4): 111-115.doi: 10.14088/j.cnki.issn0439-8114.2021.04.023

• 扶贫减贫 • 上一篇    下一篇

深度贫困地区精准扶贫特征研究及对策建议——基于陕西省岚皋县滔河镇统计数据

邓淑红1, 吕杰2, 殷静蔚1   

  1. 1.商洛学院经济管理学院,陕西 商洛 726000;
    2.沈阳农业大学经济管理学院,沈阳 110866
  • 收稿日期:2020-06-05 出版日期:2021-02-25 发布日期:2021-03-07
  • 通讯作者: 吕 杰,男,教授,博士,主要从事农业技术经济与农业政策的研究;殷静蔚(1993-),女,陕西商洛人,助教,硕士,主要从事产业经济与农村扶贫的研究。
  • 作者简介:邓淑红(1977-),女,宁夏隆德人,副教授,硕士,主要从事产业扶贫、精准扶贫的研究,(电话)13772992034(电子信箱)848214638@qq.com。
  • 基金资助:
    商洛市科技局项目(2020-J-0016); 陕西省教育厅项目(18JK0252)

Research on the characteristics of targeted poverty alleviation in deep poverty areas and suggestions:Based on the statistical data of Taohe town, Langao county, Shaanxi province

DENG Shu-hong1, LYU Jie2, YIN Jing-wei1   

  1. 1. School of Economics and Management,Shangluo University,Shangluo 726000,Shaanxi,China;
    2. College of Economics and Management,Shenyang Agricultural University,Shenyang 110866,China
  • Received:2020-06-05 Online:2021-02-25 Published:2021-03-07

摘要: 对2017年陕西省岚皋县滔河镇的精准扶贫统计数据进行了AF多维贫困分析。结果显示,滔河镇贫困人口呈现多维贫困、老龄化、病残多、文化程度低的特征。从2013年以来滔河镇扶贫来看,扶贫措施呈现出由单一向多维方式转变、贫困识别精准和投入资金巨大等特点。同时存在着产业扶贫缺乏可持续性、扶贫资金利用效率低、脱贫指标单一和扶贫信息登记缺乏动态性等问题,并针对存在的问题提出相应的对策建议。

关键词: 深度贫困地区, 精准扶贫, 特征, 对策建议

Abstract: AF multidimensional poverty analysis was carried out on the accurate poverty alleviation statistics data of Taohe town Langao county Shaanxi province in 2017. The results show that the poor population of Taohe town is characterized by multi-dimensional poverty, aging, sickness and low education. From the perspective of poverty alleviation in Taohe town since 2013, poverty alleviation measures have changed from a single to a multidimensional approach, with precise poverty identification and huge investment. At the same time, there are problems such as lack of sustainability in industrial poverty alleviation, low efficiency of poverty alleviation funds, single poverty alleviation indicators, and lack of dynamic information registration. According to the existing problems, corresponding countermeasures and suggestions are provided.

Key words: deep poverty areas, targeted poverty alleviation, characteristics, countermeasures and suggestions

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