摘要
中国农村贫困问题是中国普遍关注的社会问题。以安徽舒城县为例,运用地理加权回归及地理探测器方法分析区域致贫主导因素与县域农村贫困化分异机制,提出不同贫困类型及对应扶贫政策。研究发现:1)影响农村贫困化分异的主导因素有到主要干道距离(0.757)>人均耕地面积(0.745)>海拔高度(0.732)>坡度(0.727)>到县城中心距离(0.715);2)根据不同主导因素主要划分4种地域类型:自然环境约束型、资源禀赋约束型、交通区位约束型、经济区位约束型;3)对于不同农村贫困化地域类型主要是由单种或多种主导因素组合的综合效果,要做到因贫困原因施策、因贫困类型施策。
The problem of rural poverty in China is a social issue generally concerned in China.Taking Shucheng County of Anhui Province as an example,this project uses geographically weighted regression and geographic detectors to analyze the regional poverty-reducing leading factors and the rural poverty-stricken differentiation mechanism,and proposes different poverty types and corresponding poverty alleviation policies.The study finds that:a)the main factors affecting the differentiation of rural poverty are:the main trunk distance(0.757)>the per capita cultivated area(0.745)>the altitude(0.732)>the slope(0.727)>the distance to the center of the county(0.715);b)according to different dominant factors,there are four geographical types:natural environment constraint,resource endowment constraint,traffic location constraint,and economic location constraint;c)for different rural poverty-stricken areas,it is caused mainly by single species or the combined effect of a variety of dominant factors,in order to be driven by the causes of poverty due to the type of poverty.
作者
袁慧慧
邓凯
朱震
钱凯
田莹
YUAN Huiui;DENG Kai;ZHU Zheng;QIANG Kai;TIAN Ying(College of Geographic Information and Tourism,Chuzhou University,Chuzhou 239000,China;Anhui Center for Collaborative Innovation in Geographical Information Integration and Application,Chuzhou 239000,China)
出处
《黑龙江工程学院学报》
CAS
2019年第6期33-39,46,共8页
Journal of Heilongjiang Institute of Technology
基金
国家级大学生创新创业训练项目(201810377014)
关键词
农村贫困化
空间贫困化分异机制
地理加权回归模型
地理探测器
舒城县
rural poverty
spatial poverty differentiation mechanism
geographically weighted regression model
geographic detector
shucheng county