Spatiotemporal Evolution and Influencing Factors of Population Aging in the Triangle of Central China at Multiple Scales
文献类型：期刊论文
| 作者 | Sun, Jingyuan5; Huang, Jinchuan2,3,4; Jiang, Xiujuan5; Song, Xinlan5; Zhang, Nan1 |
| 刊名 | SUSTAINABILITY
 |
| 出版日期 | 2025-07-17 |
| 卷号 | 17期号:14页码:6549 |
| 关键词 | population aging spatiotemporal distribution geographic detector sustainable development triangle of central China |
| DOI | 10.3390/su17146549 |
| 产权排序 | 3 |
| 文献子类 | Article |
| 英文摘要 | This study focuses on the Triangle of Central China and investigates the spatiotemporal evolution, driving factors, and impacts of population aging on regional sustainable development from 2000 to 2020. The study adopts an innovative two-scale analytical framework at the prefecture and district/county level, integrating spatial autocorrelation analysis, the Geodetector model, and geographically weighted regression. The results show a significant acceleration in population aging across the study area, accompanied by pronounced spatial clustering, particularly in western Hubei and the Wuhan metropolitan area. Over time, the spatial distribution has evolved from a relatively dispersed pattern to one of high concentration. Key drivers of the spatial heterogeneity of aging include economic disparities, demographic transitions, and the uneven spatial allocation of public services such as healthcare and education. These aging patterns profoundly affect the region's potential for sustainable development. Accordingly, the study proposes a multi-scale collaborative governance strategy: At the prefecture level, efforts should focus on promoting the coordinated development of the silver economy and optimizing the spatial redistribution of healthcare resources; At the district and county level, priorities should include strengthening infrastructure, curbing the outflow of young labor, and improving access to basic public services. By integrating spatial analysis techniques with sustainable development policy recommendations, this study provides a basis for scientifically measuring, understanding, and managing demographic transitions. This is essential for achieving long-term socioeconomic sustainability in rapidly aging regions. |
| URL标识 | 查看原文 |
| WOS研究方向 | Science & Technology - Other Topics ; Environmental Sciences & Ecology |
| 语种 | 英语 |
| WOS记录号 | WOS:001553360700001 |
| 出版者 | MDPI |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/215517]  |
| 专题 | 区域可持续发展分析与模拟院重点实验室_外文论文 |
| 通讯作者 | Jiang, Xiujuan |
| 作者单位 | 1.Cent South Univ, Sch Architecture & Art, Changsha 410083, Peoples R China 2.Univ Chinese Acad Sci, Coll Resources & Environm Sci, Beijing 100049, Peoples R China; 3.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China; 4.Chinese Acad Sci, Key Lab Reg Sustainable Dev Modeling, Beijing 100101, Peoples R China; 5.Wuhan Inst Technol, Sch Civil Engn & Architecture, Wuhan 430070, Peoples R China; |
| 推荐引用方式 GB/T 7714 | Sun, Jingyuan,Huang, Jinchuan,Jiang, Xiujuan,et al. Spatiotemporal Evolution and Influencing Factors of Population Aging in the Triangle of Central China at Multiple Scales[J]. SUSTAINABILITY,2025,17(14):6549. |
| APA | Sun, Jingyuan,Huang, Jinchuan,Jiang, Xiujuan,Song, Xinlan,&Zhang, Nan.(2025).Spatiotemporal Evolution and Influencing Factors of Population Aging in the Triangle of Central China at Multiple Scales.SUSTAINABILITY,17(14),6549. |
| MLA | Sun, Jingyuan,et al."Spatiotemporal Evolution and Influencing Factors of Population Aging in the Triangle of Central China at Multiple Scales".SUSTAINABILITY 17.14(2025):6549. |
入库方式： OAI收割
来源：地理科学与资源研究所
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