中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
From Sequential to Parallel Growth of Cities: Theory and Evidence from Canada

文献类型:SCI/SSCI论文

作者Sheng K. R.; Fan, J.; Sun, W.; Ma, H. L.
发表日期2016
关键词sequential city growth Gibrta's law finite mixture model convergence club Canada city size distributions zipfs law industrial-location economic-geography agglomeration transition advantage dynamics primacy
英文摘要This paper examines city growth patterns and the corresponding city size distribution evolution over long periods of time using a simple New Economic Geography (NEG) model and urban population data from Canada. The main findings are twofold. First, there is a transition from sequential to parallel growth of cities over long periods of time: city growth shows a sequential mode in the stage of rapid urbanization, i.e., the cities with the best development conditions will take the lead in growth, after which the cities with higher ranks will become the fastest-growing cities; in the late stage of urbanization, city growth converges according to Gibrat's law, and exhibits a parallel growth pattern. Second, city size distribution is found to have persistent structural characteristics: the city system is self-organized into multiple discrete size groups; city growth shows club convergence characteristics, and the cities with similar development conditions eventually converge to a similar size. The results will not only enhance our understanding of urbanization process, but will also provide a timely and clear policy reference for promoting the healthy urbanization of developing countries.
出处Chinese Geographical Science
26
3
377-388
语种英语
ISSN号1002-0063
DOI标识10.1007/s11769-015-0750-5
源URL[http://ir.igsnrr.ac.cn/handle/311030/43191]  
专题区域可持续发展分析与模拟院重点实验室_外文论文
地理科学与资源研究所_历年回溯文献
地理科学与资源研究所_区域可持续发展分析与模拟重点实验室_城市地理与城市发展研究室
中国科学院地理科学与资源研究所
推荐引用方式
GB/T 7714
Sheng K. R.,Fan, J.,Sun, W.,et al. From Sequential to Parallel Growth of Cities: Theory and Evidence from Canada. 2016.

入库方式: OAI收割

来源:地理科学与资源研究所

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