An Analysis on Effects of Negative Population Growth on the Chinese Society
- DOI
- 10.2991/978-94-6463-198-2_52How to use a DOI?
- Keywords
- negative population growth; aging population; Vector Auto Regression model; Bayesian method; labor market; economic growth
- Abstract
Starting from 1990, China’s population development has been at an unprecedented turning point. Based on the data from the seventh national census in 2020, predictions concerning the country’s population structure indicate that the population aging rate is faster than expected. China will soon enter the stage of accelerating negative growth starting in 2025. It is projected that the negative population growth trend will continue to rise and is irreversible. This paper explores the potential risk of adverse effects on Chinese society using the Vector Auto Regression model. The remainder of the paper concentrates on a particular methodology, the Bayesian method, to interpret the correlations between various indices, such as the aging population and economic growth. The estimated results indicate that the aging population contributes to the decline in the effectiveness of government spending and labor market productivity. It also creates the issue of a potential labor shortage. The findings also demonstrated the importance of creating a comprehensive policy that addresses the future risk of an aging population.
- Copyright
- © 2023 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Shi Wang PY - 2023 DA - 2023/08/10 TI - An Analysis on Effects of Negative Population Growth on the Chinese Society BT - Proceedings of the 2nd International Academic Conference on Blockchain, Information Technology and Smart Finance (ICBIS 2023) PB - Atlantis Press SP - 503 EP - 512 SN - 2589-4900 UR - https://doi.org/10.2991/978-94-6463-198-2_52 DO - 10.2991/978-94-6463-198-2_52 ID - Wang2023 ER -