一个世纪以来巴西城市系统的演变

Q3 Social Sciences

Review of Urban and Regional Development Studies Pub Date : 2013-11-01 DOI:10.1111/RURD.12012

V. Matlaba, Mark J. Holmes, P. McCann, J. Poot

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引用次数: 13

摘要

本文研究了巴西185个城市在1907年至2008年间规模分布的演变。研究发现，中国100个最大城市群规模分布的幂律参数从1907年的0.63上升到2008年的0.89，证实了城市群规模分布不均的集聚过程。面板固定效应模型汇集了相同范围的城市规模分布，其幂律参数等于0.53，小于横断面估计的幂律参数。显然，齐夫定律被否定了。20世纪40年代以前，对数正态分布与城市规模分布非常吻合，但此后仅适用于中小城市。这些结果与我们对影响巴西城市发展的历史政治和社会经济进程的理解是一致的。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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A CENTURY OF THE EVOLUTION OF THE URBAN SYSTEM IN BRAZIL

In this paper, we study the hitherto unexplored evolution of the size distribution of 185 urban areas in Brazil between 1907 and 2008. We find that the power law parameter of the size distribution of the 100 largest urban areas increases from 0.63 in 1907 to 0.89 in 2008, which confirms an agglomeration process in which the size distribution has become more unequal. A panel fixed effects model pooling the same range of urban size distributions provides a power law parameter equal to 0.53, smaller than those from cross-sectional estimation. Clearly, Zipf’s Law is rejected. The lognormal distribution fits the city size distribution quite well until the 1940s, but since then applies to small and medium size cities only. These results are consistent with our understanding of historical-political and socio-economic processes that have shaped the development of Brazilian cities.

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来源期刊

Review of Urban and Regional Development Studies Social Sciences-Geography, Planning and Development

CiteScore

1.10

自引率

0.00%

发文量

期刊介绍： Review of Urban & Regional Development Studies (RURDS) focuses on issues of immediate practical interest to those involved in policy formation and implementation. Articles contain rigorous empirical analysis, with many emphasizing policy relevance and the operational aspects of the academic disciplines, while others focus on theoretical and methodological issues. Interdisciplinary and international in perspective, RURDS has a wide appeal: in addition to scholars, readership includes planners, engineers and managers in government, business and development agencies worldwide.