Mingxing Chen, Liangkan Chen, Michael E Meadows, Dadao Lu, Yansui Liu, Yu Deng, Longwu Liang, Chao Fan
{"title":"Unveiling disparate urban-rural relations in China through catchment area mapping.","authors":"Mingxing Chen, Liangkan Chen, Michael E Meadows, Dadao Lu, Yansui Liu, Yu Deng, Longwu Liang, Chao Fan","doi":"10.1016/j.scib.2025.03.061","DOIUrl":null,"url":null,"abstract":"<p><p>Sustainable urbanization in the Global South demands a comprehensive understanding of the intricate urban-rural relations in the face of rapid transformation. Traditional dichotomous urban-rural classification fails to thoroughly capture the convoluted interactions within the increasingly complex urbanizing landscape. Here, we reconstruct the urban-rural relationship in China by employing high-resolution satellite land-cover data in an urban-rural catchment area (URCA) framework to redefine urban-rural boundaries and quantify fine-grained connectivity. We categorize land areas into urban centers, peri-urban regions, rural areas, and hinterlands, revealing their respective population distributions in 2018. Our findings show significant spatial disparities in China's urban-rural relations due to transitioning from a predominantly rural to an urbanizing nation. The study also highlights substantial supply-demand inconsistencies in public infrastructure and fiscal preferences, exacerbating social expenditure gaps among municipal levels within the URCA. Our research contributes to understanding geographic social integration in urban-rural relations, which is important to promoting social justice and mitigating inequalities associated with China's urbanization in the context of the Sustainable Development Goals (SDGs).</p>","PeriodicalId":421,"journal":{"name":"Science Bulletin","volume":" ","pages":""},"PeriodicalIF":18.8000,"publicationDate":"2025-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Science Bulletin","FirstCategoryId":"103","ListUrlMain":"https://doi.org/10.1016/j.scib.2025.03.061","RegionNum":1,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MULTIDISCIPLINARY SCIENCES","Score":null,"Total":0}
引用次数: 0
Abstract
Sustainable urbanization in the Global South demands a comprehensive understanding of the intricate urban-rural relations in the face of rapid transformation. Traditional dichotomous urban-rural classification fails to thoroughly capture the convoluted interactions within the increasingly complex urbanizing landscape. Here, we reconstruct the urban-rural relationship in China by employing high-resolution satellite land-cover data in an urban-rural catchment area (URCA) framework to redefine urban-rural boundaries and quantify fine-grained connectivity. We categorize land areas into urban centers, peri-urban regions, rural areas, and hinterlands, revealing their respective population distributions in 2018. Our findings show significant spatial disparities in China's urban-rural relations due to transitioning from a predominantly rural to an urbanizing nation. The study also highlights substantial supply-demand inconsistencies in public infrastructure and fiscal preferences, exacerbating social expenditure gaps among municipal levels within the URCA. Our research contributes to understanding geographic social integration in urban-rural relations, which is important to promoting social justice and mitigating inequalities associated with China's urbanization in the context of the Sustainable Development Goals (SDGs).
期刊介绍:
Science Bulletin (Sci. Bull., formerly known as Chinese Science Bulletin) is a multidisciplinary academic journal supervised by the Chinese Academy of Sciences (CAS) and co-sponsored by the CAS and the National Natural Science Foundation of China (NSFC). Sci. Bull. is a semi-monthly international journal publishing high-caliber peer-reviewed research on a broad range of natural sciences and high-tech fields on the basis of its originality, scientific significance and whether it is of general interest. In addition, we are committed to serving the scientific community with immediate, authoritative news and valuable insights into upcoming trends around the globe.