Volume 55 - Article 13 | Pages 413–430
Trends in cohort fertility among Chinese women
Abstract
Background: China’s continuous decline in births has attracted scholarly and policy attention. However, total fertility rates are affected by tempo effects and may not accurately reflect the underlying fertility level.
Objective: We examine cohort trends in childlessness and the number of children ever born (CEB) among Chinese women, focusing on fertility postponement, recuperation, and the effects of structural changes.
Methods: Using nationally representative data, we calculate age-specific childlessness proportions and the number of CEB by cohort. We analyze fertility postponement and recuperation, and employ decomposition techniques to assess how age-parity-specific progression ratios, urban–rural composition, and educational structure contribute to cohort fertility differences.
Results: Childlessness has increased across cohorts, while CEB has declined. The rise in childlessness is stronger among urban and more educated women, whereas the decline in CEB is greatest among rural and less educated women. Fertility postponement has intensified, while recuperation has weakened. Decomposition shows that increased childlessness is primarily driven by reduced first-birth progression at younger reproductive ages, while the decline in CEB is largely attributed to shifts in women’s urban–rural and educational composition.
Conclusions: Childlessness has risen and fertility levels have declined, with differences across urban–rural and educational groups. These patterns highlight the need to consider social and structural factors in policies aimed at supporting fertility.
Contribution: This study provides a systematic cohort-based analysis of childlessness and fertility trends in China, providing valuable empirical evidence on cohort fertility.
Author’s Affiliation
- Tian Wang - Xi'an Jiaotong University, China EMAIL
- Quanbao Jiang - Capital University of Economics and Business, China EMAIL
Other articles by the same author/authors in Demographic Research
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