Change trend of birth rate of our country population and influence factor analysis
DOI:
https://doi.org/10.62051/d5kctv83Keywords:
Birth Rates; Time Series Analyses; Regression Analyses; Cluster Analyses.Abstract
On the ground of time series analyses, this paper excavates the trend in preliminary and carries out some short-term forecasts about future birthrate variation in wish to shed light on its solutions. This paper attempts to excavate the influence that several dominant factors exert on birthrates via regression analyses. The cluster analyses are utilized to filter out representative provinces as samples for subsequent research in order to tackle the problem that the correlations between dependant variable and each independent variable is not significant. Wielding SPSS as an analytical tool, we construct the regression model about how price level in combination with education level influences the birthrates.
Downloads
References
Dong, Y. Forecast of population growth in China [J]. Journal of Tangshan Normal University,2009,31(2):46-48.
Tang, J., Zhu, X. & Zhou, L. Prediction and research of population structure based on time series [J]. Journal of Jiamusi University (Natural Science Edition),2017,35(4):696-699.
Wang, D. & Li, X. Spatial measurement of birth rate and its influencing factors in China [J]. Guizhou Science,2017,35(6):66-71.
TIANJIAO QI. An Empirical Analysis of the Effect of Education on Birth Rate Based on Chinese Provincial Panel Data[C]. //Proceedings of the 2nd International Workshop on Education Reform and Social Sciences (ERSS 2019). 2019.
Fang, R. Modeling and application based on ARMA time series theory [J]. Science and Technology Information,2012(19):197-198.
PAN Wei. Key technology of personalized information service: cluster analysis [J]. Modern Intelligence,2007,27(10):212-214.
Cao, K., Xu, T., Liu, Y. et al. Review of cluster analysis [J]. Chinese Journal of Intelligent Health,2016,2(10):50-53.
Duan Nannan. Research on Problems based on Regression Analysis and its Implementation in MATLAB [J]. Journal of Luoyang Normal University,2014(5):33-35.
Jia, J., He, X. & Jin, Y. Statistics[M].Beijing, China Renmin University Press,2018.
Downloads
Published
Conference Proceedings Volume
Section
License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.







