Research on Factors Affecting China's Birth Rate and The Relation Between Economic Development and The Birth Rate

Authors

  • Xinyu Yang

DOI:

https://doi.org/10.54097/x5wsjn24

Keywords:

Birth rate, China, decisive factors, VAR mode, TSGlasso, BIC, Economic development.

Abstract

Many scholars have previously studied the birth rate and its development, but there are still gaps in the research on which factors play a dominant role in the birth rate. Therefore, this paper will provide a clear study of this issue, using China as an example to help major countries solve the problem of low birth rates and economic development. The population issues caused by low birth rate were researched and the main factors for birth rate were found from research. The decisive factors that determine the birth rate in China were analyzed. The link between birth rate and economic development is examined. This study figures out that the two main factors that influence the birth rate are the divorce rate and the female employment rate. There is a relatively strong correlation between the birth rate and economic development. The formula and the principle of Vector Autoregressive (VAR), Bayesian Information Criterion (BIC) and Times Series Graphical lasso (TSGlasso), were researched and used.

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References

Khan, H. Top 10 Lowest Birth Rate Countries in the World. World Blaze.2018.

Admin. The second child is ineffective & another major adjustment to fertility policy & 700 million people may benefit. Aiziw. 2022.

Garza, A. The Economic Impact of Low Birth Rates. Human Defense Initiative. 2019.

Wang, P. P. The total population has been growing and the level of urbanization has been steadily increasing. National Bureau of Statistics.2022.

Bailey, L., Bliese, C., Davis, J., Grams, K., Huth, B., Mcdonald, K., … & Short, L. The Factors Affect the Total Fertility Rate & TFR. Population Education.2019.

Tian, Z. R., Yu, J., Zhang, S. M. Application of mathematical methods to population growth models in the new context. Open access. 2020.

Boque, J. A Warning About Declining Birth Rates. Human life.2021.

Birthrates are declining globally & here is why it matters. Birthrates are declining globally & here is why it matters. World economic forum. 2021.

Marriage and divorce rates. Marriage and divorce rates. National Bureau of Statistics.2021.

China Women's Development Programme (2011-2020) Statistical Monitoring Report.. China Women's Development Programme (2011-2020) Statistical Monitoring Report. National Bureau of Statistics.2020.

Wang, C. Y. & Lee, S. J. Regional Population Forecast and Analysis Based on Machine Learning Strategy. Entropy. 2021.

China Women's Development Programme 2011-2020 Final Statistical Monitoring Report. China Women's Development Programme 2011-2020 Final Statistical Monitoring Report. Central People's Government of the People's Republic of China. 2021.

Vector Autoregressive models VAR(p) models. (n.b.). Vector Autoregressive models VAR(p) models. PennState. Section 11.2.

Zach. How to Calculate BIC in R. Statology. 2021.

Zach. Lasso Regression in R (Step-by-Step). Statology.2020.

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Published

29-12-2023

How to Cite

Yang, X. (2023). Research on Factors Affecting China’s Birth Rate and The Relation Between Economic Development and The Birth Rate. Highlights in Business, Economics and Management, 23, 236-245. https://doi.org/10.54097/x5wsjn24