Author(s)

Fumei Niu ¹

Affiliation(s)

¹ Women and Children's Activity Center in Linyi City, Linyi, 276000, China

Corresponding Author

Fumei Niu

ABSTRACT

This paper aims to deeply explore the history and present situation of urban children's population growth and its influence on all aspects of society, and put forward corresponding policy suggestions based on statistical prediction. By collecting and analyzing official statistics, census data and social survey data, this paper predicts the growth trend of urban children's population by using linear regression model. The results show that the population of urban children will remain relatively stable or increase slightly in the future, which will have a significant impact on the educational resources, public services and social structure of the city. Based on the forecast results and the analysis of the present situation, this paper puts forward a series of policy suggestions, including increasing investment in educational resources, strengthening the construction of public service facilities, and paying attention to changes in social structure, so as to provide scientific basis for future urban planning and policy formulation.

KEYWORDS

Urban children's population growth; Statistical prediction; Educational resources; Public services

CITE THIS PAPER

Fumei Niu, Statistical Prediction and Analysis of the Growth Trend of Urban Children Population. Population, Resources & Environmental Economics (2024) Vol. 5: 107-111. DOI: http://dx.doi.org/10.23977/pree.2024.050211.

REFERENCES

[1] Lv Lidan, Yan Fang, Duan Chengrong, et al. Basic facts and development challenges of China's children's population changes since the new century [J]. Population Research, 2018, 42(03):65-78.
[2] Sun Liping, Yuan Hongjun, Hu Lingyun. Combined forecasting model of China's aging population from a regional perspective [J]. Journal of Yanbian University: Natural Science Edition, 2023, 49(1):53-60.
[3] Wang Jingwen, Zhu Yu, Lin Liyue, et al. The improvement of the statistical caliber of urban-urban floating population and the mobility characteristics and influencing factors under the new caliber [J]. Progress of Geographical Science, 2023, 42(03):464-477.
[4] Ji Donglan. Thoughts on the planning and construction of children's outdoor recreation venues [J]. Wuhan Social Sciences, 2022,(03):113-121.
[5] Mwakisisile A J, Mushi A. Mathematical Model for Tanzania Population Growth[J]. Tanzania Journal of Science, 2019, 45:346-354.
[6] Tian Zhongrui. Application of Mathematical Method in Population Growth Model under New Situation[J]. Statistics and Applications, 2020, 09(4):499-505.
[7] Ma Li. Study on population carrying capacity of land resources in Shaanxi Province [J]. Henan Science, 2018, 36(01): 124-128.
[8] Gao Haifeng, Chen Chun, Zhang Kenan, et al. Vulnerability analysis of rural population trend in China [J]. China Agricultural Resources and Zoning, 2017, 38(09):135-143.

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