Evaluate the Correlation Between Identified Social Issues and Ultra-low Fertility Rates in Hong Kong
DOI:
https://doi.org/10.54097/k123zj84Keywords:
Fertility rate; Hong Kong; Multinomial regression; Decision tree analysis.Abstract
Hong Kong has witnessed a significant and continuous decline in its total fertility rate (TFR) over the past few decades, hitting an ultra-low level. This article investigates various social issues that would probably contribute to this decline as previous studies suggest, including the women’s role incongruence, the extremely heavy financial burden, and the limited scope of government policies in Hong Kong society. The persistence of such low TFR in societies would deteriorate aging problems, increase the old-age dependency ratio, and shrink the labor force. These issues are thereby posing significant challenges to Hong Kong’s economic and political sustainability. Hence, it is necessary for policymakers to introduce effective policies to improve TFR by figuring out where the problem derives. To comprehensively comprehend the correlation between ultra-low TFR and identified social issues, this research employs two statistical models which are multiple linear regression and decision tree analysis. The results reveal a strong correlation between low TFR and some identified social problems, while also elucidating the coefficient of each factor. Simultaneously, the findings contradict some previous hypotheses claimed by scholars.
Downloads
References
Gavin J., Hamid W. Singapore’s pro-natalist policies: To what extent have they worked. Springer, 2015.
Shik A. W. Y., Wong C. K. Demise of the developmental state? Implications for social policy development in Hong Kong. Asian Social Work and Policy Review, 2012, 6(2): 95-110.
Lui L., Cheung A.K.L. Family policies, social norms, and marital fertility decisions: A quasi‐experimental study. International Journal of Social Welfare, 2021, 30(4): 396-409.
Lam G., Yan Y., Tu E. J. C. Significance of family-friendly measures on fertility in Hong Kong. Asian Education and Development Studies, 2017, 6(2): 125-137.
Esping-Andersen, G. Incomplete revolution: Adapting welfare states to women's new roles. Polity, 2009.
Rindfuss R. R., Choe M. K. (Eds.). Low and lower fertility: Variations across developed countries. Springer, 2015.
Chan K. K. W. Youth and consumption. Kowloon: University of Hong Kong Press, 2010.
Zhang Hongliang, Ji Dongxiao, Lyu Liping. Analysis of the Impact of Declining Birth Rate on Future Vocational Education. Journal of Tianjin Vocational Institute. 2023, 32(6): 27-31+43.
Li Mengmeng, Wang Zhenyu, Gao Zhipeng. The costs of infant–rearing, the availability of child care resources, and the birth rate. Population and Development, 2023, 29(6): 152-121.
Chu Zhaochao. Spatio-temporal evolution and influencing factors of birth rate in Jiangsu Province. Marker Week. 2023, 36(9): 30-34.
Downloads
Published
Issue
Section
License
Copyright (c) 2024 Highlights in Science, Engineering and Technology

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







