干旱区生态环境知识资源中心(Arid): Exploring the Spatial Determinants of Rural Poverty in the Interprovincial Border Areas of the Loess Plateau in China: A Village-Level Analysis Using Geographically Weighted Regression

Arid

DOI	10.3390/ijgi9060345
	Exploring the Spatial Determinants of Rural Poverty in the Interprovincial Border Areas of the Loess Plateau in China: A Village-Level Analysis Using Geographically Weighted Regression
	Li, Tao; Cao, Xiaoshu; Qiu, Menglong; Li, Yu
通讯作者	Cao, XS
来源期刊	ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION
EISSN	2220-9964
出版年	2020
卷号	9 期号:6
英文摘要	The spatial pattern of rural poverty and its influencing factors are unique in regions located in the double zone, overlaying the Loess Plateau landform and interprovincial border socioeconomic zone. Using Huining County, located in the interprovincial border area of the Loess Plateau, as a case study, this paper examines the spatial heterogeneity of rural poverty patterns and poverty-causing factors by using geographically weighted regression (GWR) modeling. The potential accessibility indicator is employed to identify the formative mechanism of rural poverty. The results show that rural poverty is significantly correlated with county-level accessibility, water resource accessibility, and town-level accessibility. County-level accessibility and town-level accessibility have significant border effects on rural poverty. The arid characteristics in certain areas of the Loess Plateau mean that the impact of water resource accessibility on the incidence of rural poverty is second only to that of county-level accessibility. Forestland resources have a positive correlation with the incidence of rural poverty in the region dominated by farming. Finally, targeted poverty reduction policies are proposed based on the results of the analysis of poverty-causing factors. The findings derived from this paper can help other developing countries in designing their own poverty reduction policies.
英文关键词	Loess Plateau interprovincial border areas rural poverty village geographically weighted regression China
类型	Article
语种	英语
开放获取类型	gold
收录类别	SCI-E ; SSCI
WOS记录号	WOS:000551685600001
WOS关键词	ACCESSIBILITY ; LIVELIHOODS ; FUTURE ; TRAPS ; MODEL
WOS类目	Computer Science, Information Systems ; Geography, Physical ; Remote Sensing
WOS研究方向	Computer Science ; Physical Geography ; Remote Sensing
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/325169
作者单位	[Li, Tao; Cao, Xiaoshu; Qiu, Menglong; Li, Yu] Shaanxi Normal Univ, Northwest Land & Resources Res Ctr, Xian 710119, Peoples R China
推荐引用方式 GB/T 7714	Li, Tao,Cao, Xiaoshu,Qiu, Menglong,et al. Exploring the Spatial Determinants of Rural Poverty in the Interprovincial Border Areas of the Loess Plateau in China: A Village-Level Analysis Using Geographically Weighted Regression[J],2020,9(6).
APA	Li, Tao,Cao, Xiaoshu,Qiu, Menglong,&Li, Yu.(2020).Exploring the Spatial Determinants of Rural Poverty in the Interprovincial Border Areas of the Loess Plateau in China: A Village-Level Analysis Using Geographically Weighted Regression.ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION,9(6).
MLA	Li, Tao,et al."Exploring the Spatial Determinants of Rural Poverty in the Interprovincial Border Areas of the Loess Plateau in China: A Village-Level Analysis Using Geographically Weighted Regression".ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION 9.6(2020).