New Evolutionary Features of the Urban Scale Distribution in China: Based on the Seventh Census Data

IF 2 4区 社会学 Q3 ENVIRONMENTAL STUDIES Applied Spatial Analysis and Policy Pub Date : 2024-08-30 DOI:10.1007/s12061-024-09600-y
Jing Ma, Mingxing Chen, Wenming Song, Liangkan Chen
{"title":"New Evolutionary Features of the Urban Scale Distribution in China: Based on the Seventh Census Data","authors":"Jing Ma,&nbsp;Mingxing Chen,&nbsp;Wenming Song,&nbsp;Liangkan Chen","doi":"10.1007/s12061-024-09600-y","DOIUrl":null,"url":null,"abstract":"<div><p>Urbanization has drastically altered the population structure of China. While existing quantitative analyses of urban scale evolution provide reference and basis for optimizing urban systems, our study goes further by enriching knowledge and insights in this field through empirical investigation of the latest census data. We explore the evolution of distribution from 2000, 2010 to 2020, utilizing Zipf 's law, Gini coefficient and a designed scale growth index. We find that the Zipf index fell from 0.850 in 2000, 0.913 in 2010, to 0.949 in 2020, revealing a growing trend of agglomeration, but excluding top-tier cities such as Shanghai and Beijing in the latter decade. After 2010, large cities and big cities located at the forefront are the main drivers of agglomeration, and the difference in scale increment of Tier-1 big cities has expanded significantly. Capital cities of the central and western regions became new important migration destinations. Chongqing and Chengdu, Beijing and Shanghai have the largest difference in their scale growth index, representing the two evolution models of nearby urbanization and remote urbanization respectively. To achieve a higher quality of new-type urbanization in the future, it is essential to coordinate the simultaneous promotion of both remote and nearby urbanization patterns.</p></div>","PeriodicalId":46392,"journal":{"name":"Applied Spatial Analysis and Policy","volume":null,"pages":null},"PeriodicalIF":2.0000,"publicationDate":"2024-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Applied Spatial Analysis and Policy","FirstCategoryId":"90","ListUrlMain":"https://link.springer.com/article/10.1007/s12061-024-09600-y","RegionNum":4,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENVIRONMENTAL STUDIES","Score":null,"Total":0}
引用次数: 0

Abstract

Urbanization has drastically altered the population structure of China. While existing quantitative analyses of urban scale evolution provide reference and basis for optimizing urban systems, our study goes further by enriching knowledge and insights in this field through empirical investigation of the latest census data. We explore the evolution of distribution from 2000, 2010 to 2020, utilizing Zipf 's law, Gini coefficient and a designed scale growth index. We find that the Zipf index fell from 0.850 in 2000, 0.913 in 2010, to 0.949 in 2020, revealing a growing trend of agglomeration, but excluding top-tier cities such as Shanghai and Beijing in the latter decade. After 2010, large cities and big cities located at the forefront are the main drivers of agglomeration, and the difference in scale increment of Tier-1 big cities has expanded significantly. Capital cities of the central and western regions became new important migration destinations. Chongqing and Chengdu, Beijing and Shanghai have the largest difference in their scale growth index, representing the two evolution models of nearby urbanization and remote urbanization respectively. To achieve a higher quality of new-type urbanization in the future, it is essential to coordinate the simultaneous promotion of both remote and nearby urbanization patterns.

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
中国城市规模分布的新演化特征:基于第七次人口普查数据
城市化极大地改变了中国的人口结构。现有的城市规模演变定量分析为优化城市体系提供了参考和依据,而我们的研究则通过对最新人口普查数据的实证调查,进一步丰富了这一领域的知识和见解。我们利用齐普夫定律、基尼系数和设计的规模增长指数,探讨了 2000 年、2010 年至 2020 年的分布演变。我们发现,齐普夫指数从 2000 年的 0.850、2010 年的 0.913 降至 2020 年的 0.949,揭示了集聚的增长趋势,但后十年不包括上海和北京等一线城市。2010 年以后,大城市和位于前沿的大城市成为集聚的主要动力,一线大城市的规模增量差异明显扩大。中西部地区的省会城市成为新的重要人口迁移目的地。重庆与成都、北京与上海的规模增长指数差异最大,分别代表了就近城镇化和异地城镇化两种演进模式。未来要实现更高质量的新型城镇化,必须统筹远近两种城镇化模式同步推进。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
CiteScore
3.80
自引率
5.30%
发文量
57
期刊介绍: Description The journal has an applied focus: it actively promotes the importance of geographical research in real world settings It is policy-relevant: it seeks both a readership and contributions from practitioners as well as academics The substantive foundation is spatial analysis: the use of quantitative techniques to identify patterns and processes within geographic environments The combination of these points, which are fully reflected in the naming of the journal, establishes a unique position in the marketplace. RationaleA geographical perspective has always been crucial to the understanding of the social and physical organisation of the world around us. The techniques of spatial analysis provide a powerful means for the assembly and interpretation of evidence, and thus to address critical questions about issues such as crime and deprivation, immigration and demographic restructuring, retailing activity and employment change, resource management and environmental improvement. Many of these issues are equally important to academic research as they are to policy makers and Applied Spatial Analysis and Policy aims to close the gap between these two perspectives by providing a forum for discussion of applied research in a range of different contexts  Topical and interdisciplinaryIncreasingly government organisations, administrative agencies and private businesses are requiring research to support their ‘evidence-based’ strategies or policies. Geographical location is critical in much of this work which extends across a wide range of disciplines including demography, actuarial sciences, statistics, public sector planning, business planning, economics, epidemiology, sociology, social policy, health research, environmental management.   FocusApplied Spatial Analysis and Policy will draw on applied research from diverse problem domains, such as transport, policing, education, health, environment and leisure, in different international contexts. The journal will therefore provide insights into the variations in phenomena that exist across space, it will provide evidence for comparative policy analysis between domains and between locations, and stimulate ideas about the translation of spatial analysis methods and techniques across varied policy contexts. It is essential to know how to measure, monitor and understand spatial distributions, many of which have implications for those with responsibility to plan and enhance the society and the environment in which we all exist.   Readership and Editorial BoardAs a journal focused on applications of methods of spatial analysis, Applied Spatial Analysis and Policy will be of interest to scholars and students in a wide range of academic fields, to practitioners in government and administrative agencies and to consultants in private sector organisations. The Editorial Board reflects the international and multidisciplinary nature of the journal.
期刊最新文献
Spatiotemporal Trends of Poverty in the United States, 2006–2021 Accessibility and Optimization of Rural Healthcare Facilities From the Perspective of the Rural Living Circle Wildlife Crime in China: A Study of Spatial Heterogeneity in Yunnan Province Geostatistics Approach for Mapping Potential Industry Clusters: Developing Isotropic and Anisotropic Scenarios at Firm Level Measuring Spatial Congruence in the School-Neighborhood Nexus
×
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