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Zipf’s law and influential factors of the Pareto
exponent of the city size distribution: Evidence
from China |
| GAO Hongying |
| gaohy@sem.tsinghua.edu.cn |
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Abstract WU Kangping
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| Keywords
School of Economics and Management, Tsinghua University, Beijing 100084, China
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Corresponding Author(s):
This paper estimates the Pareto exponent of the city size (population
size and economy size) distribution, all provinces, and three regions in China in
1997, 2000 and 2003 by OLS, comparatively analyzes the Pareto exponent cross
section and times, and empirically analyzes the factors which impacts on the
Pareto exponents of provinces. Our analyses show that the size distributions of
cities in China follow the Pareto distribution and are of structural features.
Variations in the value of the Pareto exponent of city population size distribution
are significantly explained by industrialization, industry structure and regional
transportation infrastructure, and variations in the value the Pareto exponents of
city economy size distribution are significantly explained by industrialization
and regional transportation infrastructure.
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Issue Date: 05 March 2007
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