TITLE:
Linear Regression Analysis of GDP Growth and Urbanization Rate in Mainland of China
AUTHORS:
Anning Hu
KEYWORDS:
GDP per Capita, Urbanization Rate, Linear Regression, Correlation, Mainland of China
JOURNAL NAME:
Open Access Library Journal,
Vol.11 No.3,
March
26,
2024
ABSTRACT: Urbanization rate and per capita GDP are important indicators to measure the level of economic development. Changes in the two and the profound changes they bring have been hot topics in the field of human geography in recent years. Studying the correlation between the two from a geographical perspective has important theoretical and practical significance. Based on the per capita GDP data and urbanization rate data in mainland of China, a linear regression analysis model was used to conduct research and analysis on the two. By analyzing the urbanization rate and per capita GDP, we found a high correlation between the level of economic development and the urbanization rate, which verified the theory that “economic development is the endogenous decisive force of urbanization” and revealed that the construction of new urbanization still depends on economic development.