Research on Urbanization Rate Trend in China Various Regions
DOI: https://doi.org/10.62517/jmsd.202612116
Author(s)
Chengshuo Zhao1,2, Wen Yu1,3,4,5,*
Affiliation(s)
1Agricultural Information Institute, Chinese Academy of Agricultural Sciences, Beijing, China
2Graduate School of Chinese Academy of Agricultural Sciences, Beijing, China
3Key Laboratory of Agricultural Information Service Technology, Ministry of Agriculture, Beijing, China
4Key Laboratory of Intelligent Agricultural Early Warning Technology and System, Beijing, China
5Beijing Engineering Research Center for Agricultural Monitoring and Early Warning, Beijing, China
*Corresponding Author
Abstract
The urbanization rate serves as one of the key indicators for measuring a country's stage and level of development. Forecasting the urbanization prospects of China's provinces facilitates the formulation of national regional development strategies by relevant authorities, while also plays a significant role in promoting coordinated economic and social progress. This article uses Stata software and the relevant data released by the National Bureau of Statistics Data Center, selects the urbanization rate time series data of 31 provinces in country from 1990 to 2024, establishes an ARIMA model of urbanization rate and time, and predicts 2025 to 2040 the change trend of urbanization rate in various regions. The analysis categorizes provinces and municipalities into six major regions for examination. Data shows that, with the exception of a few regions, urbanization rates across most areas are projected to reach 70% around 2030 and exceed 80% by 2040. Overall, urbanization rates across all regions will continue to grow, but uneven development persists between regions, particularly in the western regions. Relevant departments should formulate development strategies based on the actual conditions of urbanization, ensuring sustainable and healthy development while promoting coordinated urban-rural growth.
Keywords
Urbanization Rate; Forecast; ARIMA Model; Policy; China
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