广西西江流域贫困特征及致贫因子的地理探测
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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。
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.
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.
引文
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[13]刘盛和,兰肖雄,樊杰.广西西江黄金水道开发与西江经济带城镇体系空间结构重构[J].地理研究,2012,31(8):1365-1374.
[14]曹惠敏,骆华松.云南农村贫困人口空间结构分析[J].云南地理环境研究,2012,24(1):68-74.
[15]熊建练,吴茜,任英华.文化产业空间集聚特征与动态规律的实证分析[J].统计与决策,2016(19):84-88.
[16]于艳邱,赵山星.新疆阿克苏地区旅游产业集聚效应研究[J].企业改革与管理,2016(15):213-214.
[17]王维,张涛,陈云.长江经济带地级及以上城市“五化”协调发展格局研究[J].地理科学,2018,38(3):385-393.
[18]王劲峰,徐成东.地理探测器:原理与展望[J].地理学报,2017,72(1):116-134.
[2]杨红娟,张成浩.云南少数民族贫困地区生态效率研究[J].生态经济,2018,34(3):112-116.
[3]袁媛,王仰麟,马晶,等.河北省县域贫困度多维评估[J].地理科学进展,2014,33(1):124-133.
[4]周扬,郭远智,刘彦随.中国县域贫困综合测度及2020年后减贫瞄准[J].地理学报,2018,73(8):1478-1493.
[5]刘彦随,李进涛.中国县域农村贫困化分异机制的地理探测与优化决策[J].地理学报,2017,72(1):161-173.
[6]贾林瑞,刘彦随,刘继来,等.中国集中连片特困地区贫困户致贫原因诊断及其帮扶需求分析[J].人文地理,2018(1):85-93,151.
[7]郑瑞强,王英.精准扶贫政策初探[J].财政研究,2016(2):17-24.
[8]岳娅,王国贤.云南农村电子商务扶贫的对策建议[J].宏观经济管理,2018(7):73-78.
[9]李伶俐,刘小华,王定祥.论我国农村扶贫金融制度的完善与创新[J].上海经济研究,2017(5):82-90,97.
[10]胡继亮,陈瑶.精准扶贫之特色产业培育探析---以秦巴山区竹溪县为例[J].中南民族大学学报:人文社会科学版,2018,38(4):166-170.
[11]葛志军,邢成举.精准扶贫:内涵、实践困境及其原因阐释---基于宁夏银川两个村庄的调查[J].贵州社会科学,2015,305(5):157-163.
[12]胡宗义,唐李伟,苏静.农村正规金融与非正规金融的减贫效应---基于PVAR模型的经验分析[J].统计与信息论坛,2014,29(11):52-58.
[13]刘盛和,兰肖雄,樊杰.广西西江黄金水道开发与西江经济带城镇体系空间结构重构[J].地理研究,2012,31(8):1365-1374.
[14]曹惠敏,骆华松.云南农村贫困人口空间结构分析[J].云南地理环境研究,2012,24(1):68-74.
[15]熊建练,吴茜,任英华.文化产业空间集聚特征与动态规律的实证分析[J].统计与决策,2016(19):84-88.
[16]于艳邱,赵山星.新疆阿克苏地区旅游产业集聚效应研究[J].企业改革与管理,2016(15):213-214.
[17]王维,张涛,陈云.长江经济带地级及以上城市“五化”协调发展格局研究[J].地理科学,2018,38(3):385-393.
[18]王劲峰,徐成东.地理探测器:原理与展望[J].地理学报,2017,72(1):116-134.
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