This document introduces the current situation of urbanization in our country, and analyzes the development trend and the existing problems in the process of urbanization in our country. Then using the basic theory of ARIMA model in sequence theory and combining with the data of urbanization level in our country, this article use E-views and SPSS software to model and predict the urbanization rate data of China from 1982 to 2016. The results show that using ARIMA (0,2,1) model to predict the level of urbanization in China is more accurate in short-term data, which indicates that the urbanization level in our country develops more rapidly and shows a gradual upward trend.
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