The Spatial Effects of Regional Poverty: Spatial Dependence, Spatial Heterogeneity and Scale Effects
文献类型：期刊论文
| 作者 | Liu, Mengxiao1; Ge, Yong3,4,5; Hu, Shan2; Hao, Haiguang1 |
| 刊名 | ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION
 |
| 出版日期 | 2023-12-01 |
| 卷号 | 12期号:12页码:23 |
| 关键词 | regional poverty spatial effects spatial dependence spatial heterogeneity scale effects |
| DOI | 10.3390/ijgi12120501 |
| 通讯作者 | Hao, Haiguang(haohg@craes.org.cn) |
| 英文摘要 | Recognizing the spatial effects of regional poverty is essential for achieving sustainable poverty alleviation. This study investigates these spatial effects and their determinants across three distinct administrative levels within Hubei Province, China. To analyze the spatial patterns and heterogeneity of multi-scale regional poverty, we employed various spatial analysis techniques, including the global and local Moran's I statistics, the Lineman, Merenda, and Gold (LMG) method, as well as Multiscale Geographically Weighted Regression (MGWR). We found that: (1) Regional poverty exhibits significant spatial dependence across various scales, with a higher level of spatial dependence observed at higher administrative levels. (2) The spatial distribution of poverty is primarily influenced by geographical factors, encompassing first-, second-, and third-nature geographical elements. Notably, first-nature geographical factors make substantial contributions, accounting for 36.99%, 42.23%, and 23.79% at the county, township, and village levels, respectively. (3) The influence of geographical factors varies with scale. Global effects of various factors may transcend scales or remain confined to specific scales, while the local impacts of different factors also exhibit variations across scales. These results underscore the necessity for collaborative efforts among government entities at different levels with the anti-poverty measures tailored to local contexts. |
| WOS关键词 | RELATIVE IMPORTANCE ; RURAL POVERTY ; WEIGHTED REGRESSION ; NATURAL DISASTERS ; PATTERNS ; WELFARE ; CHINA ; DETERMINANTS ; GEOGRAPHIES ; INDICATORS |
| 资助项目 | National Philosophy and Social Science Foundation of China |
| WOS研究方向 | Computer Science ; Physical Geography ; Remote Sensing |
| 语种 | 英语 |
| WOS记录号 | WOS:001131073600001 |
| 出版者 | MDPI |
| 资助机构 | National Philosophy and Social Science Foundation of China |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/201382]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Hao, Haiguang |
| 作者单位 | 1.Chinese Res Inst Environm Sci, Beijing 100012, Peoples R China 2.Shenzhen Univ, Sch Architecture & Urban Planning, Dept Urban Informat, Shenzhen 518060, Peoples R China 3.Jiangsu Ctr Collaborat Innovat Geog Informat Resou, Nanjing 210023, Peoples R China 4.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China 5.Chinese Acad Sci, State Key Lab Resources & Environm Informat Syst, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China |
| 推荐引用方式 GB/T 7714 | Liu, Mengxiao,Ge, Yong,Hu, Shan,et al. The Spatial Effects of Regional Poverty: Spatial Dependence, Spatial Heterogeneity and Scale Effects[J]. ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION,2023,12(12):23. |
| APA | Liu, Mengxiao,Ge, Yong,Hu, Shan,&Hao, Haiguang.(2023).The Spatial Effects of Regional Poverty: Spatial Dependence, Spatial Heterogeneity and Scale Effects.ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION,12(12),23. |
| MLA | Liu, Mengxiao,et al."The Spatial Effects of Regional Poverty: Spatial Dependence, Spatial Heterogeneity and Scale Effects".ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION 12.12(2023):23. |
入库方式： OAI收割
来源：地理科学与资源研究所
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