The size distribution of Chinese cities |
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Authors: | Gordon Anderson Ying Ge |
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Institution: | aDepartment of Economics, University of Toronto, 150 St. George Street, Toronto, Ontario, Canada M5S 3G7;bSchool of International Trade and Economics, University of International Business and Economics, Beijing 100029, P.R. China |
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Abstract: | This paper uses urban data to investigate two important issues regarding city sizes in China, the relative growth of cities and the nature of the city size distribution. The manner in which cities of different sizes grow relative to each other is examined and, contrary to the common empirical finding that the relative size and rank of cities remains stable over time, it is found that the Economic Reforms and the One Child Policy since 1979 have delivered significant structural change in the Chinese urban system. The city size distribution remains stable before the reforms but exhibits a convergent growth pattern in the post-reform period. The theoretical literature on city sizes highlights a link between log normal and Pareto distributions for city sizes prompting the employment of Pearson goodness-of-fit tests to examine directly which theoretical distribution provides the best approximation to the empirical city size distribution. Contrary to the evidence for other countries, a log normal rather than Pareto specification turns out to be the preferred distribution. |
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Keywords: | Zipf's law Gibrat's law Convergence |
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