Identifying the Geographic Indicators of Poverty Using Geographically Weighted Regression
A Case Study from Qiandongnan Miao and Dong Autonomous Prefecture, Guizhou, China
Bibliographic Data
| ID | 2063243 |
|---|---|
| Authors | Zhixi Xu (0000-0002-1770-8748, Wuhan University), Zhongliang Cai (0000-0003-1403-4394, Wuhan University), Shufan Wu (Wuhan University), Xinran Huang (0000-0002-8126-9735, Wuhan University), Ji Liu (0000-0001-5024-129X), Junying Sun (0000-0003-1064-9017), Shiliang Su (0000-0002-1201-7593, Wuhan University), Min Weng (0009-0008-5406-2027, Wuhan University) |
| Year | 2019 |
| Volume | 142 |
| Issue | 3 |
| Pages | 947-970 |
| Publication date | 2019-04-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Social Indicators Research (JOURNAL) |
| Journal identifiers | ISSN: 0303-8300 • E-ISSN: 1573-0921 |
| Publisher | Springer Science and Business Media LLC (PUBLISHER) |
| DOI | 10.1007/s11205-018-1953-9 |
| OpenAlex | W2879950287 |
| Language | EN |
| Citations received | 12 |
| References cited | 36 |
China · Economic geography · Economic growth · Economics · Geographically Weighted Regression · Geography · Population · Poverty · Socioeconomic status · Socioeconomics · Statistics · Demography · Income, Poverty, and Inequality · Land Use and Ecosystem Services · Mathematics · Spatial and Panel Data Analysis
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| Unique citing works | 12 |
|---|---|
| Citations per year | 1,71 |
| Citation span | 2019 - 2025 (7) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 12 |