自回归积分移动平均
城市化
中国
计算机科学
电流(流体)
时间序列
数据建模
计量经济学
机器学习
地理
工程类
数学
经济
经济增长
电气工程
数据库
考古
出处
期刊:Proceedings of the 6th International Conference on Humanities and Social Science Research (ICHSSR2020)
日期:2018-01-01
被引量:1
标识
DOI:10.2991/ichssr-18.2018.14
摘要
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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