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The Kernel Density Estimation of China's City-size Distribution and Dynamic Evolution Analysis

机译:中国城市规模分布的核密度估计及其动态演化分析

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Traditional studies about the distribution of city size, often a priori assumption that the distribution is the Pareto distribution of city size, but in fact merely a special case of Pareto distribution. In estimating the parameters of the distribution of city size, you should use some statistical methods to test whether the establishment of Pareto distribution. In this paper, non-parametric statistical methodskernel density estimation the distribution of city size in China is analyzed. And this regression model using panel data methods to solve the traditional rank-size laws omitted variable regression equation problem. From the estimates show that from 1994-1998 China's city-size distribution of the Pareto index revealed a growth, then decreased, and then rising. This reflects the characteristics of China's current urban growth. Rapid urbanization process, making the role of the city's rapidly increasing concentration.
机译:关于城市规模分布的传统研究通常先验地假设该分布是城市规模的帕累托分布,但实际上仅仅是帕累托分布的一种特例。在估计城市规模分布的参数时,应使用一些统计方法来检验是否建立了帕累托分布。本文采用非参数统计方法,对中国城市规模分布的核密度估计进行了分析。并且这种回归模型使用面板数据方法来解决传统的秩大小定律遗漏的变量回归方程问题。从估算值可以看出,1994-1998年中国帕累托指数的城市规模分布呈现先增长后降后升的趋势。这反映了中国当前城市增长的特征。快速的城市化进程,使得城市的作用迅速集中。

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