Abstract
<p>In this paper, by using China's urban population data from 1990 to 2010 and double logarithmic regression model to test China’s urban scale and urban rank through Zipf law, we found that China’s urban scale distribution is relatively balanced, virtually conforming to Zipf's law. Researching and analyzing urban scale distribution of China’s every province’s, we also found that the urban scale distributions of China’s all provinces are relatively complicated and they are not even close to 1. The increase of Zipf index means that urban scale distribution is transiting from primacy degree distribution to ideal Zipf distribution. Further analyzing and categorizing every province’s Zipf index, we can conclude that China’s urban scale distribution can be categorized four mainly: achieved ideal Zipf law; approaching to ideal Zipf distribution; The transition state from the primacy degree distribution to the Zipf law distribution; typical primacy degree distribution.</p>
Highlights
In this paper, by using China's urban population data from 1990 to 2010 and double logarithmic regression model to test China’s urban scale and urban rank through Zipf law, we found that China’s urban scale distribution is relatively balanced, virtually conforming to Zipf's law
The earliest research on urban scale and order is from Auerbach (1913) and Singer (1936). They believe that the scale of the city and the sequence can be characterized by Pareto distribution, and there is a mathematical relationship of: y A x a .Zipf (1949) believes that the scale of the city can be expressed by the Pareto distribution, and when 1,it found Ri Si A, Zipf index, the relationship between the size of the city and the order of the city is called the Zipf rule
Through the collection of urban population data from 1990 to 2010, the Zipf rules of urban size and urban order were tested and found that the size distribution of Chinese cities was more balanced, which was basically consistent with the Zipf rule
Summary
Vol 1, No 1; 2016 the third part of the empirical results were analyzed; the fourth part is a brief conclusion of the research. The main purpose of the study is to study the size and change trend of the Zipf index of urban size distribution in China. In the city size distribution, the Zipf index ( value) shows the aggregation of the city size distribution. Through the empirical test of the Zipf rule of China's city size distribution, the ordinary least square method is adopted. The premise of the Hill method is that if the city size obeys Pareto distribution, the Zipf index of urban scale is tested, which is not representative and general. Tibet have a certain number of the scale of the city is relatively small, in order to prevent the statistical results and the model brought large errors, we selected China statistical yearbook data of city size distribution test will Tibet Autonomous Region exclude outside.
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
