文献类型：期刊文献

英文题名：Typologies of Intergenerational Relations in Urban and Rural China: A Latent Class Analysis

作者：Wang, Ning[1];Evandrou, Maria[2,3];Falkingham, Jane[3];Xu, Maodi[4]

机构：[1]East China Univ Sci & Technol, Sch Social & Publ Adm, Shanghai, Peoples R China;[2]Univ Southampton, Fac Social Sci, Ctr Res Ageing, Southampton, Hants, England;[3]Univ Southampton, Fac Social Sci, ESRC Ctr Populat Change, Southampton, Hants, England;[4]Southwestern Univ Finance & Econ, Res Inst Social Dev, 555 Liutai Ave, Chengdu 611130, Sichuan, Peoples R China

年份：2023

卷号：42

期号：2

起止页码：313

外文期刊名：JOURNAL OF APPLIED GERONTOLOGY

收录：;WOS:【SSCI(收录号:WOS:000873230800001)】；

基金：This work was supported by Chinese Social Science Foundation Youth Project [20CSH014] and Shanghai Pujiang Program [2020PJC023].

语种：英文

外文关键词：Intergenerational Relations; Advance Care Planning; Quantitative Methods; China; Latent Class Analysis; Urban-rural Differences

摘要：Understanding intergenerational relations in China has become increasingly important against a backdrop of rapid social and demographic transitions and an ongoing urban-rural divide. From the parental perspective, this research investigates patterns and determinants of intergenerational relations between middle-aged and older parents and their non-coresident children in urban and rural China using data from the China Health and Retirement Longitudinal Study (2018) (N = 14,616). Latent class analysis revealed three typologies of intergenerational relations found across both urban and rural China - Tight-knit, Support-at-distance and Material-oriented-detached, and one typology particularly for urban China - Staying-in-touch-but-independent. The observed patterns suggest intergenerational bonds remain solid alongside the emergence of new trends, reflecting the modernization process. Multivariate multinomial regression analysis identified determinants for membership of each relationship typology. The findings will inform policy-makers and care professionals, supporting the identification of the vulnerable groups and the design of targeted policies for older parents with different family resources.