Deciphering China's Socio-Economic Disparities: A Comprehensive Study Using Nighttime Light Data
文献类型：期刊论文
| 作者 | Chen, Tianyu1; Zhou, Yuke2; Zou, Dan3; Wu, Jingtao4; Chen, Yang5,6; Wu, Jiapei2,6; Wang, Jia1 |
| 刊名 | REMOTE SENSING
 |
| 出版日期 | 2023-09-01 |
| 卷号 | 15期号:18页码:21 |
| 关键词 | nighttime light data socio-economic disparities Hu Huanyong line spatial autocorrelation vegetation index urbanization big data mining |
| DOI | 10.3390/rs15184581 |
| 通讯作者 | Zhou, Yuke(zhouyk@igsnrr.ac.cn) |
| 英文摘要 | Achieving equitable and harmonized socio-economic development is a vital gauge of national progress, particularly in geographically extensive nations such as China. This study, employing nighttime lights as a socio-economic development indicator and remote sensing vegetation indices, investigates spatial variations in wealth distribution across China's eastern and western regions, delineated by the Hu Huanyong Line. It uncovers the balance between economic growth and green space preservation and discrepancies in development and green space allocation. A thorough county-level analysis using this nighttime light (NTL) and vegetation index exposes the dynamic shifts in socio-economic focal points. The Gini coefficient, assessing inequality and spatial autocorrelation within the index ratio, enriches our regional development understanding. The findings depict a heterogeneous yet rapid economic expansion, primarily within a 30 km coastal buffer zone. Despite a decrease in Gini coefficients in both eastern and western regions, the potential for inland development escalates as coastal illumination approaches saturation. This study unveils enduring, yet lessening, economic disparities between eastern and western China, underscoring the necessity for green preservation in eastern development plans. Moreover, inland regions emerge as potential areas for accelerated development. This study offers crucial insights for formulating balanced, sustainable regional development strategies in China. |
| WOS关键词 | URBANIZATION ; GIS |
| 资助项目 | National Key Research and Development Program[2021xjkk0303] ; Hainan Province Science and Technology Special Fund[ZDYF2022GXJS228] |
| WOS研究方向 | Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology |
| 语种 | 英语 |
| 出版者 | MDPI |
| WOS记录号 | WOS:001078136900001 |
| 资助机构 | National Key Research and Development Program ; Hainan Province Science and Technology Special Fund |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/198556]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Zhou, Yuke |
| 作者单位 | 1.Xian Jiaotong Liverpool Univ, Sch Adv Technol, Suzhou 215123, Peoples R China 2.Chinese Acad Sci, Key Lab Ecosyst Network Observat & Modeling, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China 3.Longyan Univ, Sch Resource Engn, Longyan 364012, Peoples R China 4.Taiyuan Univ Technol, Coll Software, Taiyuan 030024, Peoples R China 5.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China 6.Univ Chinese Acad Sci, Beijing 100049, Peoples R China |
| 推荐引用方式 GB/T 7714 | Chen, Tianyu,Zhou, Yuke,Zou, Dan,et al. Deciphering China's Socio-Economic Disparities: A Comprehensive Study Using Nighttime Light Data[J]. REMOTE SENSING,2023,15(18):21. |
| APA | Chen, Tianyu.,Zhou, Yuke.,Zou, Dan.,Wu, Jingtao.,Chen, Yang.,...&Wang, Jia.(2023).Deciphering China's Socio-Economic Disparities: A Comprehensive Study Using Nighttime Light Data.REMOTE SENSING,15(18),21. |
| MLA | Chen, Tianyu,et al."Deciphering China's Socio-Economic Disparities: A Comprehensive Study Using Nighttime Light Data".REMOTE SENSING 15.18(2023):21. |
入库方式： OAI收割
来源：地理科学与资源研究所
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