Coupling analysis of multi-systems urbanization: Evidence from China

IF 7 2区 环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES Ecological Indicators Pub Date : 2025-01-01 DOI:10.1016/j.ecolind.2024.112977
Junqiang Luo , Weijing Ma , Shuang An , Zining Zhang , Yanchuan Fu , Hejun Huang , Genying Chang
{"title":"Coupling analysis of multi-systems urbanization: Evidence from China","authors":"Junqiang Luo ,&nbsp;Weijing Ma ,&nbsp;Shuang An ,&nbsp;Zining Zhang ,&nbsp;Yanchuan Fu ,&nbsp;Hejun Huang ,&nbsp;Genying Chang","doi":"10.1016/j.ecolind.2024.112977","DOIUrl":null,"url":null,"abstract":"<div><div>China’s urbanization rate has reached 66.16 %, indicating its transition to a more complex mid-to-late stage, which makes multi-systems research on urbanization essential. However, studies on urbanization from multiple perspectives are still limited, hindering a full understanding of its multifaceted nature. This study focuses for the first time on 295 prefecture-level cities and above in China from 2000 to 2020, developing an evaluation system for multi-systems urbanization to assess coupling and coordination. Utilizing methods such as the entropy method, coupling coordination model, Theil index, and Geodetector, this study explores the spatiotemporal differentiation and driving factors of urbanization coupling coordination. The results indicate: (1) The coupling coordination degree of urbanization shows a steady upward trend. Highly coordinated cities are primarily distributed in the core city’s radiation circles, coastal economic belts, provincial capitals in the central and western regions, and northern industrial city zones. Low-coordination cities are mainly found in the Qinghai-Tibet Plateau, Yunnan-Guizhou Plateau, the border areas of Gansu, Shaanxi, Sichuan, Chongqing, and Hubei, the Hetao area of the Yellow River Basin, the agricultural regions of the Huanghuaihai Plain, and the southeastern hilly and mountainous areas. (2) The degree of uneven urbanization development initially expands and then contracts, with intra-regional imbalances following the pattern: “Eastern Coastal Area &gt; Northeast Area &gt; Middle Reaches of the Yangtze River Area &gt; Northern Coastal Area &gt; Middle Reaches of the Yellow River Area &gt; Southwest Area &gt; Southern Coastal Area &gt; Northwest Area.” (3) The coupling and coordinated development of urbanization is closely related to the economic foundation and production energy usage. This study provides decision-making support for promoting the multi-systems coupling and coordinated development of urbanization in China, as well as in other developing nations and globally.</div></div>","PeriodicalId":11459,"journal":{"name":"Ecological Indicators","volume":"170 ","pages":"Article 112977"},"PeriodicalIF":7.0000,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Ecological Indicators","FirstCategoryId":"93","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1470160X24014341","RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
引用次数: 0

Abstract

China’s urbanization rate has reached 66.16 %, indicating its transition to a more complex mid-to-late stage, which makes multi-systems research on urbanization essential. However, studies on urbanization from multiple perspectives are still limited, hindering a full understanding of its multifaceted nature. This study focuses for the first time on 295 prefecture-level cities and above in China from 2000 to 2020, developing an evaluation system for multi-systems urbanization to assess coupling and coordination. Utilizing methods such as the entropy method, coupling coordination model, Theil index, and Geodetector, this study explores the spatiotemporal differentiation and driving factors of urbanization coupling coordination. The results indicate: (1) The coupling coordination degree of urbanization shows a steady upward trend. Highly coordinated cities are primarily distributed in the core city’s radiation circles, coastal economic belts, provincial capitals in the central and western regions, and northern industrial city zones. Low-coordination cities are mainly found in the Qinghai-Tibet Plateau, Yunnan-Guizhou Plateau, the border areas of Gansu, Shaanxi, Sichuan, Chongqing, and Hubei, the Hetao area of the Yellow River Basin, the agricultural regions of the Huanghuaihai Plain, and the southeastern hilly and mountainous areas. (2) The degree of uneven urbanization development initially expands and then contracts, with intra-regional imbalances following the pattern: “Eastern Coastal Area > Northeast Area > Middle Reaches of the Yangtze River Area > Northern Coastal Area > Middle Reaches of the Yellow River Area > Southwest Area > Southern Coastal Area > Northwest Area.” (3) The coupling and coordinated development of urbanization is closely related to the economic foundation and production energy usage. This study provides decision-making support for promoting the multi-systems coupling and coordinated development of urbanization in China, as well as in other developing nations and globally.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
求助全文
约1分钟内获得全文 去求助
来源期刊
Ecological Indicators
Ecological Indicators 环境科学-环境科学
CiteScore
11.80
自引率
8.70%
发文量
1163
审稿时长
78 days
期刊介绍: The ultimate aim of Ecological Indicators is to integrate the monitoring and assessment of ecological and environmental indicators with management practices. The journal provides a forum for the discussion of the applied scientific development and review of traditional indicator approaches as well as for theoretical, modelling and quantitative applications such as index development. Research into the following areas will be published. • All aspects of ecological and environmental indicators and indices. • New indicators, and new approaches and methods for indicator development, testing and use. • Development and modelling of indices, e.g. application of indicator suites across multiple scales and resources. • Analysis and research of resource, system- and scale-specific indicators. • Methods for integration of social and other valuation metrics for the production of scientifically rigorous and politically-relevant assessments using indicator-based monitoring and assessment programs. • How research indicators can be transformed into direct application for management purposes. • Broader assessment objectives and methods, e.g. biodiversity, biological integrity, and sustainability, through the use of indicators. • Resource-specific indicators such as landscape, agroecosystems, forests, wetlands, etc.
期刊最新文献
Examining future spatiotemporal changes in blue and green water using an enhanced SWAT model: A Jialing River basin case study Coupling analysis of multi-systems urbanization: Evidence from China Evaluation of urban water cycle health status based on DPSIRM framework and AHP-FCE-Cloud model Wildfire danger under changing climates in the southern Great Plains throughout the 21st century Revealing multi-scale characteristics of ecosystem services supply and demand imbalance to enhance refined ecosystem management in China
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1