湖北农业科学 ›› 2018, Vol. 57 ›› Issue (19): 28-34.doi: 10.14088/j.cnki.issn0439-8114.2018.19.006

• 政策与管理 • 上一篇    下一篇

山区农村贫困化分异机制探讨

蒋潞遥1,2, 廖和平1,2, 曾于珈1,2, 李义龙1,2, 罗刚1,2   

  1. 1.西南大学地理科学学院,重庆 400715;
    2.国土资源研究所,重庆 400715
  • 收稿日期:2018-07-16 出版日期:2018-10-10 发布日期:2019-12-18
  • 通讯作者: 廖和平,教授,博士生导师,主要从事土地利用与国土规划的研究,(电话)13808360066(电子信箱)1696316827@qq.com
  • 作者简介:蒋潞遥(1992-),女,四川宜宾人,硕士,主要从事农村土地利用与国土规划研究,(电话)17784727180(电子信箱)496160354@qq.com
  • 基金资助:
    重庆市技术预见与制度创新重点项目“贫困退出机制设计和贫困地区可持续发展研究”(cstc2017jsyj-jsyjBX0015)

Study on Poverty Differentiation Mechanism of Mountainous Rural Areas

JIANG Lu-yao1,2, LIAO He-ping1,2, ZENG Yu-jia1,2, LI Yi-long1,2, LUO Gang1,2   

  1. 1.School of Geographical Sciences,Southwest University,Chongqing 400715,China;
    2.Institute of Land and Resources,Chongqing 400715,China
  • Received:2018-07-16 Online:2018-10-10 Published:2019-12-18

摘要: 山区农村贫困问题是中国普遍关注的社会问题之一,探讨贫困化分异机制对山区贫困农村的发展具有重大意义。以重庆市巫山县为例,运用地理探测器、多元线性回归等模型方法诊断出山区农村贫困化分异的主导因素,结果表明,海拔高度、到县城中心距离、到乡镇中心距离、到主要干道距离和坡耕地占比是影响山区农村贫困化的主导因素;根据巫山县各乡镇贫困分异的主导因素,划分出农村贫困化地域类型;针对影响因素不同的地域类型提出不同的政策措施。

关键词: 贫困化分异机制, 贫困问题, 农村贫困化, 地理探测器, 影响因素

Abstract: The mountainous rural poverty problem is the one of sharpest social problems in China. It is significant to research the poverty differentiation mechanism of mountainous rural areas for countryside development. Taking Wushan county in Chongqing as an example, the paper diagnoses the dominant factors of differentiation of rural poverty by using the geographical detector model and multiple linear regressions. The results showed that altitude, distance from the center of the county town and the township center, distance to the main roads and proportion of slope farmland are the leading factors affecting the impoverishment of rural areas in mountain areas. According to the leading factors of poverty differentiation in different townships and towns in Wushan county, the types of rural poverty areas are divided. Different policy measures are proposed for different geographical types of influencing factors.

Key words: poverty differentiation mechanism, poverty problem, rural poverty, geographical detector, influencing factors

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