文章摘要
甘肃省农村空间贫困地域分异特征及其影响因素
Regional differentiation characteristics and the influencing factors of spatial poverty in rural areas of Gansu Province
投稿时间:2019-04-09  最后修改时间:2019-06-03
DOI:10.13872/j.1000-0275.2019.0082
中文关键词: 空间贫困  地域分异  影响因素  灰色关联TOPSIS模型  GWR模型  农村  甘肃省
英文关键词: spatial poverty  regional differentiation  influencing factors  the GRA-TOPSIS model  the GWR model  rural areas  Gansu Province
基金项目:国家自然科学基金项目(41271141);中央高校基本科研业务费专项资金(lzujbky-2017-it100)
作者单位E-mail
何博汶 兰州大学资源环境学院 1271136239@qq.com 
李丁 兰州大学资源环境学院 liding@lzu.edu.cn 
刘笑杰 兰州大学资源环境学院 1845150032@qq.com 
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中文摘要:
      本文基于空间贫困理论视角,构建农村空间贫困评价指标体系,运用灰色关联TOPSIS模型对2016年甘肃85个县域农村空间贫困进行测度,结合GIS空间制图技术、空间自相关分析和GWR模型等方法探究空间贫困地域分异特征及其影响因素。研究结果表明:1)甘肃农村空间贫困程度总体较深,地理分布差异显著,呈“东南高、西北低”,并由东南向西北递减的空间分异特征;2)农村经济、社会及环境贫困在各县域有明显地域差异,农村经济和社会贫困的空间集聚特征显著,环境贫困呈“两翼高、中间低”的空间格局;3)从空间关联格局来看,甘肃农村空间贫困存在显著的空间正向集聚特征,H-H集聚区集中分布在陇南、甘南东部及定西南部,L-L集聚区分布在张掖、酒泉和金昌;4)自然禀赋、经济发展、社会民生、人力资源和交通区位是影响甘肃农村空间贫困地域分异的主要因素,且各因素的影响强度具有明显空间差异性。自然禀赋呈中部向两翼递减的变化趋势,经济发展、人力资源和交通区位呈“东南—西北”的空间分布特征,社会民生由南向北逐渐增加。因此,依据各贫困区特征及致贫原因,从产业、生态、社会事业与基础设施等方面提出针对性减贫策略,以期为甘肃精准扶贫提供理论指导。
英文摘要:
      Based on the theory of spatial poverty and the GIS mapping technology, this study constructs an evaluation index system of spatial poverty in rural areas and evaluates the spatial poverty in 85 counties of Gansu Province in 2016 by the GRA-TOPSIS model. In addition, this paper also conducts a comprehensive analysis of regional differentiation characteristics and its influencing factors of spatial poverty in rural areas by the spatial autocorrelation method and the geographically weighted regression (GWR) model. Results show that: 1) the degree of spatial poverty in rural areas of Gansu is generally deep, and the regional differences are significant, showing the spatial characteristics of “high southeast and low northwest”, and decreasing from the southeast to the northwest; 2)there are significant regional differences in economic, social and environmental poverty in rural areas in all counties. Among them, the spatial characteristics of the economic poverty and the social poverty are congregated significantly in rural areas, and the environmental poverty presents a spatial pattern of “high southeast and northwest and low central”; 3) from the pattern of spatial correlation, the spatial poverty in rural areas of Gansu shows significant spatial positive agglomeration characteristics. The High-High areas are mainly distributed in Longnan, the eastern part of Gannan, and the southern part of Dingxi, while the Low-Low areas are concentrated in Zhangye, Jiuquan and Jinchang; and 4) natural endowment, economic development, society and people’s livelihood, human resources and transportation as well as location are the main influencing factors of spatial poverty in rural areas of Gansu. The influencing effects of all factors feature a spatial difference. Natural endowment shows decreasing trend from the central to the southeast and the northeast. Economic development, human resources and transportation and location present a spatial distribution characteristics of “southeast-northwest”. Society and people’s livelihood illustrate the trend of gradual increase from the south to the north. Therefore, according to the characteristics of poverty areas and the causes of poverty, this paper provides some targeted poverty reduction strategies from the perspectives of industry, ecology, social undertakings and infrastructure in order to provide theoretical guidance for the targeted poverty elimination program in Gansu Province.
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