Macro and Micro Dynamics of the City Size Distribution

2009 ◽  
pp. 33-49 ◽  
Author(s):  
Lucien Benguigui ◽  
Efrat Blumenfeld-Lieberthal ◽  
Michael Batty
Keyword(s):  
Size Distribution ◽  
City Size ◽  
City Size Distribution ◽  
The City

scholarly journals Is Economic Integration a Historical Shock to City-size Distribution?

2018 ◽  
Vol 21 (1) ◽  
pp. 83-100
Author(s):  
Engin Sorhun
Keyword(s):  
Size Distribution ◽  
Economic Integration ◽  
Structural Break ◽  
City Size ◽  
Space Distribution ◽  
Eu Integration ◽  
City Size Distribution ◽  
Bound Test ◽  
The City ◽  
The Eu

Based on the assumption that the economic integration process contributes, via market reforms, to the dynamics of the space distribution in candidate countries, this study examines (i) whether agglomeration forces or dispersion forces are dominant; (ii) whether EU-integration causes a structural break to the space distribution over time; (iii) whether EU-integration makes the city-size distribution more even or uneven in eight eastern European Union members (EU–8). To carry out the analysis, the Ziwot-Andrew and Cusum Square tests are used to detect structural breaks; the ARDL Bound test is used to reveal the interaction between long-run and short-run equilibrium; and the Granger test is used to determine the direction of the causality among the variables. The main results are: the integration with the EU (i) caused a structural break to the city-size distribution, (ii) made the city-size distribution more uneven and (iii) stimulated the agglomerating forces over the spreading forces in the EU–8.

scholarly journals A scale-free transportation network explains the city-size distribution

10.3982/qe619 ◽  
2018 ◽  
Vol 9 (3) ◽  
pp. 1419-1451 ◽  
Author(s):  
Marcus Berliant ◽  
Axel H. Watanabe
Keyword(s):  
Size Distribution ◽  
Transportation Network ◽  
City Size ◽  
Scale Free ◽  
City Size Distribution ◽  
The City

City-Size Distribution and the Size of Urban Systems

1985 ◽  
Vol 17 (7) ◽  
pp. 905-913 ◽  
Author(s):  
I Thomas
Keyword(s):  
Size Distribution ◽  
Urban System ◽  
City Size ◽  
Urban Systems ◽  
The World ◽  
City Size Distribution ◽  
The City

This paper is an analysis of the city-size distribution for thirty-five countries of the world in 1975; the purpose is to explain statistically the regularity of the rank-size distribution by the number of cities included in the urban systems. The rank-size parameters have been computed for each country and also for four large urban systems in which several population thresholds have been defined. These thresholds seem to have more influence than the number of cities included in the urban system on the regularity of the distribution.

The temporal evolution of the city size distribution

2009 ◽  
Vol 388 (7) ◽  
pp. 1187-1195 ◽  
Author(s):  
Lucien Benguigui ◽  
Efrat Blumenfeld-Lieberthal
Keyword(s):  
Size Distribution ◽  
Temporal Evolution ◽  
City Size ◽  
City Size Distribution ◽  
The City

scholarly journals The Spanish spatial city size distribution

2020 ◽  
pp. 239980832094186
Author(s):  
Rafael González-Val
Keyword(s):  
Size Distribution ◽  
Pareto Distribution ◽  
City Size ◽  
Large Cities ◽  
Lognormal Distributions ◽  
City Size Distribution ◽  
Distribution Parameters ◽  
Significant Patterns ◽  
New Perspective ◽  
The City

This paper analyses the Spanish city size distribution from a new perspective, focusing on the role played by distance. Using un-truncated data from all cities in 1900 and 2011, we study the spatial distribution of cities and how the city size distribution varies with distance. First, K-densities are estimated to identify different spatial patterns depending on city size, with significant patterns of dispersion found for medium-sized and large cities. Second, using a distance-based approach that considers all possible combinations of cities within a 200-kilometre radius, we analyse the influence of distance on the city size distribution parameters, considering both the Pareto and lognormal distributions. The results validate the Pareto distribution in most of the cases regardless of city size, and the lognormal distribution at short distances.

Gibrat's Law for (All) Cities: Reply

2009 ◽  
Vol 99 (4) ◽  
pp. 1676-1683 ◽  
Author(s):  
Jan Eeckhout
Keyword(s):  
Size Distribution ◽  
City Size ◽  
Visual Interpretation ◽  
Gibrat’S Law ◽  
Gibrat's Law ◽  
Lognormal Size Distribution ◽  
City Size Distribution ◽  
Distribution Tail ◽  
The City

This reply refutes the objection raised by Levy (2009) about the fit of the upper tail of the city size distribution in Eeckhout (2004). I show that the method on which his conclusion is based is unsubstantiated. The visual interpretation of the fit on log-log plots is misleading. In addition, the methodology used to estimate a truncated subsample of the distribution while testing its significance against a distribution with prespecified parameters is ill-founded. The main conclusion is that Gibrat's law holds: city sizes follow proportionate growth, thus giving rise to a lognormal size distribution, tail included. (JEL R11, R12, R23)

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