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广西西江流域贫困特征及致贫因子的地理探测
熊小菊1,2,3, 廖春贵1,2,3, 丘海红1,2,3, 胡宝清1,2,3
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(1.南宁师范大学, 北部湾环境演变与资源利用教育部重点实验室, 广西南宁 530001;2.南宁师范大学, 广西地表过程与智能模拟重点实验室, 广西南宁 530001;3.南宁师范大学地理科学与规划学院, 广西南宁 530001)
摘要:
为了解广西西江流域贫困空间特征及致贫因子,以广西西江流域为研究对象,运用贫困发生率、空间基尼系数、空间自相关等方法分析流域贫困空间分布格局,选取自然因子和人文因子指标,采用地理探测器模型对流域致贫因子进行探测。研究结果表明:广西西江流域东北部贫困村较少,西北部较多,东南部最集中。河池贫困户最多而梧州最少;市区附近贫困户较少,喀斯特地区较多。贫困发生率莫兰指数(Moran's I)为0.566,存在显著的空间自相关。贫困发生率热冷点呈现西北部热,中南部冷的格局。流域贫困发生率高-高集聚区位于大化县,低-低集聚区分布在恭城县等。在地理因子交互作用中,海拔∩土壤、地区生产总值(GDP)∩降水的贡献率较大;海拔、土壤类型、工业等是影响流域贫困发生的主要地理因子。广西西江流域贫困是自然因子和人文因子综合作用的结果。
关键词:  贫困  莫兰指数  空间自相关  致贫因子  地理探测器
DOI:10.13657/j.cnki.gxkxyxb.20190521.003
基金项目:国家重点研发计划(2016YFC0502401),国家自然科学基金项目(41661021)和广西自然科学基金项目(2016JJF15001)资助。
Geographical Detection of Poverty Characteristics and Poverty-reducing Factors in Xijiang River Basin, Guangxi
XIONG Xiaoju1,2,3, LIAO Chungui1,2,3, QIU Haihong1,2,3, HU Baoqing1,2,3
(1.Key Laboratory of Beibu Gulf Environment Change and Resources Use, Nanning Normal University, Nanning, Guangxi, 530001, China;2.Guangxi Key Laboratory of Earth Surface Process and Intelligent Simulation, Nanning Normal University, Nanning, Guangxi, 530001, China;3.School of Geography and Planning, Nanning Normal University, Nanning, Guangxi, 530001, China)
Abstract:
In order to understand the spatial characteristics of poverty and poverty-reducing factors in the Xijiang River Basin in Guangxi, the Xijiang River Basin in Guangxi was used as the research object. The incidence of poverty, spatial Gini coefficient and spatial autocorrelation were used to analyze the spatial distribution pattern of poverty in the basin. The natural factors and human factors indicators were selected and the geo-detection model was used to detect the poverty-stricken factors in the basin. The results show that there are fewer impoverished villages in the northeastern part of the Xijiang River Basin in Guangxi,more in the northwest and most concentrated in the southeast. Hechi has the most poverty-stricken households and the least in Wuzhou. There are fewer poor households near the urban area, and there are more in karst areas. The incidence of poverty, the Moran's I, is 0.566, and there is a significant spatial autocorrelation. The hot and cold spots of the incidence of poverty show a pattern which is hot in northwest and cold in central and south part. The high concentration area of poverty incidence in the basin is located in Dahua, and the low concentration area is located in Gongcheng County and other places. In the interaction of geographical factors, the contribution rate of altitude ∩ soil, and GDP ∩ precipitation is relatively higher. Altitude, soil type, and industry are the main geographical factors affecting the occurrence of poverty in the basin. The poverty in the Xijiang River Basin in Guangxi is the result of a combination of natural and human factors.
Key words:  poverty  Moran's I  spatial autocorrelation  poverty factor  geo-detector

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