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Academic Journal of Computing & Information Science, 2022, 5(8); doi: 10.25236/AJCIS.2022.050809.

Analysis of China's population growth forecast based on Leslie model under the three-child policy


Chaojie Liu1, Cuili Xu2

Corresponding Author:
Chaojie Liu

1College of Mathematics and System Science, Xinjiang University, Urumqi, China

2School of Cybersecurity, Northwestern Polytechnical University, Xi’an, China 


The number and structure of the population are important factors affecting socio-economic development. China has experienced the implementation of "family planning", "comprehensive two-child" and "liberalized three-child" policies, which are all adjustments to the trend of China's population development. In this paper, we establish a mathematical model by combining relevant data. This paper establishes a mathematical model to predict the demographic situation of China in the next 10 years after the opening of the three-child policy, considering the age structure of China's population. Based on this, we analyze how to implement the new policies in medical care to further alleviate the aging process of China's population, considering the actual situation at present.


Leslie model; Population projection; Aging; Python

Cite This Paper

Chaojie Liu, Cuili Xu. Analysis of China's population growth forecast based on Leslie model under the three-child policy. Academic Journal of Computing & Information Science (2022), Vol. 5, Issue 8: 58-64. https://doi.org/10.25236/AJCIS.2022.050809.


[1] Li Qiuhong, He Xianping, Yu Yunjun, Wang Liang. The application of mathematical models in population growth [J]. Journal of Taiyuan Normal College (Natural Science Edition), 2008(02): 55-56

[2] National Bureau of Statistics of the People's Republic of China. Annual data, 2021. https://data.stats. gov.cn/easyquery. [EB/OL]. 

[3] Macrotrends. China fertility rate 1950-2021, 2021. https: //www. macrotrends. net/ countries/CHN/ China/fertility-rate. [EB/OL]. 

[4] Hou, Yankun. Population growth prediction and research based on Leslie model [J]. Science and Technology Innovation and Application, 2014(27): 35-36. 

[5] Cai Ling. A review of research on family education input [J]. Social Science Dynamics, 2022(02): 68-78.