Nighttime light satellite images reveal uneven socioeconomic development along China's land border
文献类型：期刊论文
| 作者 | Wan, Nan3; Du, Yunyan3; Liang, Fuyuan2; Yi, Jiawei3; Qian, Jiale3; Tu, Wenna3; Huang, Sheng3 |
| 刊名 | APPLIED GEOGRAPHY
 |
| 出版日期 | 2023-03-01 |
| 卷号 | 152 |
| ISSN号 | 1873-7730 |
| 关键词 | Land border Nighttime light data Socioeconomic development Change pattern Driving factors |
| DOI | 10.1016/j.apgeog.2023.102899 |
| 文献子类 | Article |
| 英文摘要 | China shares its board with one developed and thirteen developing countries. A timely, precise, and efficient socioeconomic study of border regions is vital for evaluating political problems and identifying potential eco-nomic prospects. Usually, conventional socioeconomic statistical data suffer from significant time lags and un-equal statistical scales. This study utilized the random forest model to establish a connection between satellite -derived nighttime light data and the improved human development index (IHDI). The relationship was then applied to predict the IHDI, and differences in its strength, trend, and change pattern by bordering statistical units from 2000 to 2020 were evaluated. Our findings indicate that China's administrative units (AUCs) are more developed and have a greater development trend than their neighbors (AUNs). Except for the Tibet Autonomous Region, all AUCs are spatially more developed than AUNs, with the discrepancy widening between 2000 and 2020. Socioeconomic changes in AUCs predominantly exhibit a forward-leaping development pattern, which may be represented by a logarithmic (53%) or sigmoid (22.6%) function, whereas AUNs' socioeconomic changes exhibit either a late-leaping exponential (34.2%) or static development (18.6%) trend. The IHDI values in AUCs exhibit greater disparity as measured by the Theil index, than the AUNs, primarily due to the natural environ-ment, resource availability, and development policies. In less developed regions, harsh natural surroundings, temperatures, and scarce natural resources hinder socioeconomic growth. |
| WOS关键词 | GEOGRAPHICALLY WEIGHTED REGRESSION ; URBAN-GROWTH ; POPULATION ; URBANIZATION ; POVERTY ; CONSUMPTION ; COUNTRIES ; DYNAMICS ; INCOME |
| WOS研究方向 | Geography |
| 出版者 | ELSEVIER SCI LTD |
| WOS记录号 | WOS:000942952500001 |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/190295]  |
| 专题 | 资源与环境信息系统国家重点实验室_外文论文 |
| 作者单位 | 1.Western Illinois Univ, Dept Earth Atmospher & Geog Informat Sci, Macomb, IL 61455 USA 2.Univ Chinese Acad Sci, Coll Resource & Environm, Beijing 100049, Peoples R China 3.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China |
| 推荐引用方式 GB/T 7714 | Wan, Nan,Du, Yunyan,Liang, Fuyuan,et al. Nighttime light satellite images reveal uneven socioeconomic development along China's land border[J]. APPLIED GEOGRAPHY,2023,152. |
| APA | Wan, Nan.,Du, Yunyan.,Liang, Fuyuan.,Yi, Jiawei.,Qian, Jiale.,...&Huang, Sheng.(2023).Nighttime light satellite images reveal uneven socioeconomic development along China's land border.APPLIED GEOGRAPHY,152. |
| MLA | Wan, Nan,et al."Nighttime light satellite images reveal uneven socioeconomic development along China's land border".APPLIED GEOGRAPHY 152(2023). |
入库方式： OAI收割
来源：地理科学与资源研究所
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