Study on the relationship between geo-spatial factors and distribution of poverty: taking Hezhang county as an example

doi:10.13474/j.cnki.11-2246.2021.385

Abstract

Abstract: Taking Hezhang county as an example, this paper takes the township as the research unit, constructs the evaluation index of geo-spatial factors from the aspects of topography, land resources, traffic conditions, etc. Using geodetector and weighted regression model, it scientifically reveals the influence of geographical space factors on the spatial differentiation of poverty, and reveals the spatial distribution of poverty degree and resources and environment from the perspective of space. The study provides decision-making reference for the implementation of policies to achieve targeted poverty alleviation and consolidate the achievements of poverty alleviation.

Key words: geo-spatial factors, distribution of poverty, geodetector, weighted regression model, evaluation index

CLC Number:

P208

ZHANG Lanlan, WU Qiming, SHEN Chaoyong, LIU Fang, CHEN Yanguo. Study on the relationship between geo-spatial factors and distribution of poverty: taking Hezhang county as an example[J]. Bulletin of Surveying and Mapping, 2021, 0(12): 120-123,129.

References

[1] 包御琨.真抓实干埋头苦干万众一心确保全面夺取脱贫攻坚战伟大胜利[N].贵州日报,2020-02-15(6).
[2] 吴跃,周忠发,朱昌丽,等.喀斯特山区农村贫困测度与空间分异研究——以盘州市为例[J].长江流域资源与环境,2020,29(5):1247-1256.
[3] 刘艳华,徐勇.中国农村多维贫困地理识别及类型划分[J]. 地理学报,2015,70(6):993-1007.
[4] 朱海波,聂凤英.深度贫困地区脱贫攻坚与乡村振兴有效衔接的逻辑与路径——产业发展的视角[J].南京农业大学学报(社会科学版),2020,20(3):15-25.
[5] 史兴民,曹仲波.陕西省耕地资源禀赋与贫困关系量化研究[J].干旱区资源与环境,2010,24(3):1-5.
[6] 欧海燕,黄国勇.自然地理环境贫困效应实证分析——基于空间贫困理论视角[J].安徽农业大学学报(社会科学版),2015,24(1):13-19.
[7] GRAY L C, MOSELEY W G. A geographical perspective on poverty-environment interactions[J]. The Geograp-hical Journal, 2005, 171(1):9-23.
[8] 张凤荣.精准扶贫需要摸清自然资源禀赋[N].中国自然资源报,2019-03-07(5).
[9] 付阳阳. 自然地理环境对县域贫困化空间分异的影响研究:以贵州省连片特困区为例[D]. 武汉:华中师范大学, 2019.
[10] 武鹏,李同昇,李卫民.县域农村贫困化空间分异及其影响因素——以陕西山阳县为例[J].地理研究,2018, 37(3):593-606.
[11] 陈烨烽,王艳慧,王小林.中国贫困村测度与空间分布特征分析[J].地理研究,2016,35(12):2298-2308.
[12] 蔡进. 耕地资源贫困与农村多维贫困测度及耦合关系研究:以重庆市为例[D]. 重庆:西南大学, 2018.
[13] 陈淇瑶,廖和平,刘愿理,等.重庆市县域交通可达性与多维贫困耦合关系研究[J]. 西南大学学报(自然科学版),2020,42(4):12-24.
[14] 黄国勇, 张敏, 夏咏, 等. 新疆边境贫困县自然地理环境影响因素实证分析[J]. 干旱区地理, 2015, 38(4):814-820.
[15] 皮啸菲, 周生路, 吴绍华. 江苏省土地资源禀赋度空间变化研究[J]. 土壤, 2010, 42(4):652-657.
[16] 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.
[17] 王欢,高江波,侯文娟.基于地理探测器的喀斯特不同地貌形态类型区土壤侵蚀定量归因[J].地理学报,2018, 73(9):1674-1686.
[18] 韩静,芮旸,杨坤,等.基于地理探测器和GWR模型的中国重点镇布局定量归因[J].地理科学进展,2020,39(10):1687-1697.
[19] 杨桂林,杨柳,焦洪赞,等.基于地理加权回归模型的村域致贫因子研究——以贵州省剑河县为例[J].江苏农业科学,2018,46(10):324-328.
[20] FOTHERINGHAM A S, BRUNSDON C. Local forms of spatial analysis[J]. Geographical Analysis, 1999, 31(4):340-358.