A Study on the Impact of Family Development Capacity on the Dual Burden of Elderly Care and Child-rearing: An Empirical Test Based on Latent Profile Analysis

Hua Tu

doi:10.62177/chst.v3i4.1864

Authors

Hua Tu Xi'an Polytechnic University

DOI:

https://doi.org/10.62177/chst.v3i4.1864

Keywords:

Family Types, Dual Burden of Child-Rearing and Elderly Care, Latent Profile Analysis, Urban–Rural Disparities, Regional Heterogeneity

Abstract

This study aims to accurately identify different household types based on the 2022 data from the China Family Panel Studies (CFPS). It also seeks to identify variations in the dual burden of caring for the elderly and children across these types. The study uses the sophisticated technique of Latent Profile Analysis (LPA). It gives a complete analysis of multidimensional variables. These include household assets, and social security coverage. The analysis classifies households into four types: high income and high security households, medium asset and medium security households, low income and low security households, high debt and high risk households. Findings indicated that the extent of the double burden of caring for the elderly and children differed greatly across household types.elatively low burden for high-income, high-security households. Low-income, low-security households bear heavier pressures. Marked heterogeneity is evident between urban and rural areas. It is also evident across different regions.It’s more expensive to raise children in urban households. Rural households face difficulties in accessing resources for elderly care. The nature of the burden varies across regions. The reasons lie in differences in culture, policy and levels of economic development. This study provides an important reference for understanding family development. It also provides a reference for formulating differentiated family policies.

Downloads

Download data is not yet available.

References

Leibenstein, H. (1974). An interpretation of the economic theory of fertility: Promising path or blind alley? Journal of Economic Literature, 12(2), 457–479.

Leibenstein, H. (1975). The economic theory of fertility decline. The Quarterly Journal of Economics, 89(1), 1–31.

Wang, S. X., & Ma, J. (2002). New trends in intergenerational relations during the process of population ageing. Population and Economy, (4), 15–21.

Wang, Y. S. (2008). A theoretical analysis of intergenerational relations in Chinese families. Population Research, (4), 13–21.

Deng, W. Z., & Xu, X. (2020). An introduction to the sociology of the family. Shanghai University Press.

Zhao, Y. F. (2020). Intergenerational relationships in the family in a transforming China: A study based on three-generation families. China Social Sciences Press.

Wang, Y. S. (2016). ‘Division’ and ‘unity’ in contemporary Chinese families, households and the concept of ‘home’. Chinese Social Sciences, (4), 91–110, 207.

Haralambos, S. (1988). The family: A functionalist perspective (F. Juanhong, Trans.). Abstracts of Foreign Social Sciences, (10), 30–32. Skinner, H., & Steinhauer, P. (2002). Family assessment measure and process model of family functioning. Journal of Family Therapy, 22(2), 190–210.

Walsh, F. (2003). Normal family process (3rd ed.). Guilford.

Wu, F., & Li, J. M. (2012). An analysis of policy pathways for building family development capacity. Population Research, 36(4), 37–44.

Shi, Z. L. (2014). The impact of family planning policy on family development capacity and its policy implications. Journal of Public Administration, 11(4), 83–94, 115, 142–143.

Kan, X. L., & Zhu, Y. R. (2019). A study on changes in Chinese family development capacity over the 40 years of reform and opening-up. Journal of Demography, (4), 9–10.

Zhang, X. L. (2020). A study on regional differences in intergenerational responsibility and family development capacity. Journal of Nanjing Agricultural University (Social Sciences Edition), 20(6), 43–52.

Zhou, C. H., Liu, S., Mao, J. S., et al. (2011). Analysis of the economic status of rural households with parents of only children aged 50 and over: Based on a 2010 survey of five counties nationwide. Population Research, 35(5), 81–89.

Huang, L., & Guo, X. C. (2018). A discussion on the methodology for constructing an evaluation indicator system for family development capacity. Statistics and Management, (7), 100–104.