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China's ongoing rural to urban transformation benefits the population but is not evenly spread

文献类型：期刊论文

作者Chen, Xin9,10; Yu, Le8,10; Li, Yaoyao7; Liu, Tao10; Liu, Jingming6; Peng, Dailiang5; Zhang, Xiaoling3,4; Fang, Chuanglin2; Gong, Peng1,3,8
刊名COMMUNICATIONS EARTH & ENVIRONMENT
出版日期2024-08-04
卷号5期号:1页码:14
DOI10.1038/s43247-024-01580-8
英文摘要China prioritizes a coordinated and sustainable shift from rural to urban areas, termed rural-urban transformation. This involves land, population, and industry urbanization. Here we explore the spatiotemporal dynamics of rural-urban transformation patterns in China, focusing on the degree of integrated transformation and the coupling between the three tracks. To conduct our investigation, we utilized the urbanization cube theory, satellite-derived gridded datasets, and the self-organizing map. Our findings show that eastern China has higher levels of integrated transformation and coupling compared to western China. There has been an overall increase in the coupling of China's three rural-urban transformation tracks. We identified six typical rural-urban transformation patterns across China. Over time, 53.58% of prefectures improved in rural-urban transformation patterns, 3.44% degraded, and 42.98% (mainly in western China) remained unchanged. More importantly, we highlight that the increasing and coupling rural-urban transformation in China has reduced inequities in urban and rural well-being. The rural-to-urban transformation that integrates changes in land use, population, and industry development reduces inequities in urban and rural well-being and is more evident in the East but not West China, according to an analysis that combines satellite data, statistical analysis, and machine learning.
WOS关键词URBANIZATION ; REFORM ; INCOME
资助项目Tsinghua University Initiative Scientific Research Program (grant number: 2021Z11GHX002 ; 20223080017)[42201279] ; National Natural Science Foundation of China[2021Z11GHX002] ; National Natural Science Foundation of China[20223080017] ; Tsinghua University Initiative Scientific Research Program[2022M711755] ; China Postdoctoral Science Foundation
WOS研究方向Environmental Sciences & Ecology ; Geology ; Meteorology & Atmospheric Sciences
语种英语
WOS记录号WOS:001283242900001
出版者SPRINGERNATURE
资助机构Tsinghua University Initiative Scientific Research Program (grant number: 2021Z11GHX002 ; 20223080017) ; National Natural Science Foundation of China ; Tsinghua University Initiative Scientific Research Program ; China Postdoctoral Science Foundation
源URL[http://ir.igsnrr.ac.cn/handle/311030/207269]  
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Yu, Le
作者单位1.Univ Hong Kong, Dept Geog, Dept Earth Sci, Hong Kong 999077, Peoples R China
2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China
3.Univ Hong Kong, Inst Climate & Carbon Neutral, Hong Kong 999077, Peoples R China
4.Univ Hong Kong, Fac Architecture, Dept Real Estate & Construction, Hong Kong 999077, Peoples R China
5.Chinese Acad Sci, Aerosp Informat Res Inst, Key Lab Digital Earth Sci, Beijing 100094, Peoples R China
6.Xi An Jiao Tong Univ, Sch Publ Policy & Adm, Xian 710049, Peoples R China
7.China Agr Univ, Coll Land Sci & Technol, Beijing 100193, Peoples R China
8.Minist Educ Ecol Field Stn East Asian Migratory Bi, Beijing 100084, Peoples R China
9.Shanxi Univ, Inst Loess Plateau, Taiyuan 030006, Peoples R China
10.Tsinghua Univ, Inst Global Change Studies, Dept Earth Syst Sci, Minist Educ,Key Lab Earth Syst Modeling, Beijing 100084, Peoples R China
推荐引用方式
GB/T 7714		 Chen, Xin,Yu, Le,Li, Yaoyao,et al. China's ongoing rural to urban transformation benefits the population but is not evenly spread[J]. COMMUNICATIONS EARTH & ENVIRONMENT,2024,5(1):14.
APA Chen, Xin.,Yu, Le.,Li, Yaoyao.,Liu, Tao.,Liu, Jingming.,...&Gong, Peng.(2024).China's ongoing rural to urban transformation benefits the population but is not evenly spread.COMMUNICATIONS EARTH & ENVIRONMENT,5(1),14.
MLA Chen, Xin,et al."China's ongoing rural to urban transformation benefits the population but is not evenly spread".COMMUNICATIONS EARTH & ENVIRONMENT 5.1(2024):14.

入库方式： OAI收割

来源：地理科学与资源研究所

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