Analysis of the Impact of Different Family Structures on the Number of Commercial Insurance Purchases
Main Article Content
Keywords
family structure, family insurance, commercial insurance
Abstract
In recent years, the global insurance industry has developed rapidly, and families, as an important part of insurance purchasing, play a crucial role in its development. Studying the impact of family structure on the number of commercial insurance policies purchased allows the insurance industry to make reasonable predictions about the insurance configuration of target families. Currently, scholars have conducted extensive research in this field, but there are still gaps in the research. Some studies have selected small samples or fewer dimensions. This paper aims to study the demographic structure of large-sample families to fill these gaps. Based on the framework of regression analysis, this study conducts Heckman regression analysis on family samples from a database to obtain the parameter relationships between different independent and dependent variables. These relationships indicate that the probability of families purchasing commercial insurance significantly decreases with an increase in the proportion of minors and the elderly population, and increases with an increase in family size and male ratio, providing a reference for the insurance industry in designing and pricing family insurance
References
- [1] Wu, W. F., & Wang, R. H. (2023). The construction of family as a principal part in social insurance law: Family care in an aging society challenges and responses. Social Security Review, 7(5), 36–53.
- [2] Lu, Y. J., & Zhang, W. H. (2020). Research on the impact of family structure on family participation in the insurance market. Modern Economic Exploration, (5), 25–35.
- [3] Zhai, G. Y., & Xue, Y. K. (2026). The downsizing of family size and commercial insurance demand: Impact effect, transmission mechanism, and evolution trends in change. Financial Research, (3), 114–132.
- [4] Li, T., Tan, S. F., & He, J. (2025). The impact of rural population structure on insurance allocation and policy recommendations. Chinese Agricultural Resources and Regional Planning, 46(7), 243–253.
- [5] Yin, Z. C., Zhang, Z. X., & Yan, Y. (2022). The impact of child-raising on household insurance demand. Financial Forum, 27(4), 60–69.
- [6] Zhang, C. (2020). Analysis of the influencing factors of household insurance demand. China Industry & Economy, (14), 39–40.
- [7] Sun, W. J., & Gao, Y. (2018). Financial knowledge, liquidity constraints, and household commercial insurance demand. Journal of Finance, 12(2), 53–75.
- [8] Wang, Y. K., & Liu, L. J. (2025). Research on the impact of financial literacy on household insurance decision-making. Journal of Central China Normal University (Humanities and Social Sciences Edition), 64(2), 70–82.
- [9] Zhang, X., Li, Y., & Jing, H. (2026). Impact of digital finance on household insurance demand. Finance Research Letters, 104, 110165.
- [10] Gan, L., Yin, Z. C., Jia, N., Xu, S., & Ma, S. (2013). The status of household assets and housing demand in China: Analysis. Journal of Financial Research, (4), 1–14.
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