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    An Analysis of Cohort Fertility Trends and Medium- to Long-term Projections of Period Fertility in China
    Ding Jinhong, Tian Yang, Mu Sha, Duan Liancheng, Chen Yihao
    Population Research    2026, 50 (5): 66-83.  
    Abstract (1291)            Save
    The long-term projection of changes in the total fertility rate (TFR) is a crucial basis for assessing population development trends, as well as a persistent challenge in demographic research. This paper designs a Period-Cohort-Period (PCP) method for TFR projection: it utilizes period fertility data from successive censuses to construct cohort fertility distributions, and subsequently inverts these cohort distributions to project period fertility distributions, thereby deriving the TFR for future years. The PCP method requires the fertility pattern simulation function to have high precision and parameters that are explicit and flexibly controllable. This study discusses the relationship between the Gompertz fertility model and the standard Gumbel function, revealing shortages in the Gompertz model such as ambiguous parameter interpretations, parameter redundancy, and inflexibility in shape control. By addressing these limitations, we derive the Generalized Gumbel fertility model, which surpasses all previous models in goodness of fit.

    Applying the Generalized Gumbel model, we fitted and analyzed data from successive population censuses since the 1980s. The results reveal that the peak fertility points across different periods exhibit a “C-shaped” trajectory, which can be broadly divided into three stages: the “early marriage and early childbearing” stage in the early 1980s driven by the post-peak effect, the rapid plunge stage of the fertility peak during 1986-2005, and the delayed childbearing stage with a broad peak since 2010. The period-to-cohort analysis reveals that the cohort total fertility rate (CTFR) experienced an initial increase followed by a decline, with the magnitude of change being much more moderate than that of the period TFR. Specifically, the CTFRs for 1965-1974 cohorts slightly increased from 1.93 to 2.17, while the CTFRs for 1974-1985 cohorts dropped from 2.17 to 1.87. In terms of the fertility distribution shape, this manifests as a vertical plunge in fertility peaks, with an ongoing trend of the right tail of the fertility curve lengthening and rising. For cohorts born since 1985, the rightward shift of the peak fertility age has accelerated, while the magnitude of the peak decline has narrowed.

    By referring to the changing trends of indicators such as lifetime childlessness rates and TFRs in other countries, this study analyzed the parameter variation trends of China's future fertility patterns. We projected the fertility distributions for 1991-2030 cohorts by parity under high, medium, and low scenarios, thereby extrapolating the potential evolutionary trajectories of the period TFR from 2025 to 2050. The findings indicate that China’s TFR may exhibit a slow recovery trend during the latter half of the 15th Five-Year Plan period. On the one hand, this is a result of the diminishing tempo effect of fertility; on the other hand, it reflects the self-correction of diverse groups within a massive population. To escape the “low fertility trap” and return to a normal fertility pattern by the mid-21st century, the state must not only actively implement fertility support and pro-natalist policies but also trust and protect the rich diversity of fertility values, maintaining confidence in the future and avoiding extreme policies driven by excessive anxiety.

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    China's Ultra-low Fertility: Marriage Penalty or Child Penalty?
    Lu Yang, Zhang Haoran
    Population Research    2026, 50 (5): 84-100.  
    Abstract (1151)            Save
    In settings where marriage and childbearing are tightly linked, marriage is a prerequisite for having children. Women take on more home care duties after marriage, and their labor market outcomes often begin to shift even before a first birth. If changes in women's work are put down to childbearing alone—overlooking the gendered redivision of labor that marriage itself brings—the total family formation penalty will be seriously underestimated. Using CFPS data, this paper adopts a joint event study design built around first marriage and first childbirth. It estimates recent marriage, childbearing, and family penalties on women's work for those first married between 2010 and 2022, uses Oaxaca decomposition methods to gauge how much these penalties add to the gender gap in work, and asks whether they arise from a gendered split of home labor rooted in social norms.

    Key findings are as follows. First, Chinese women face a 17.4% marriage penalty and a 16.2% child penalty, yielding a total family penalty of 33.6%; both contribute almost equally to women's work losses, yet the child penalty is larger in the short run. Second, standard single-event studies typically leave out the marriage penalty and thus underrate the harm family formation inflicts on women's work. Third, the family penalty makes up 74.1% of the 2020 gender gap in paid work, and the child penalty's share of this gap has risen over time. Fourth, these penalties persist even when women have no less schooling than men. Long-held gender norms keep driving how home roles are split, which is very likely the main reason women end up with a larger family penalty.

    The paper adds to the field as follows. First, by turning seven waves of CFPS cross-sections into panel data via personal IDs and a joint event study design, it pins down both the marriage and child penalty for Chinese women. Second, for cases with no pre-marriage data, it uses pseudo-event study matching on sex, age, year, schooling, and urban/rural status (or province) to enlarge the sample and run robustness checks. Third, mechanism analysis further shows the old gendered split of home labor is the main path through which both penalties operate. No matter how spouses' pre-marriage edges stack up, women's housework time rises sharply after marriage versus men's, strongly hinting that old social norms may lie at the root of gender gaps in China today.

    These empirical results point to several clear and actionable policy steps. First, formally recognizing domestic services and offering subsidies for their use can transform gendered unpaid care into paid services that families can readily purchase. Second, introducing a dad-only, non-transferable paid parental leave would send a strong and clear signal that care is a joint responsibility, thereby helping to break the deeply entrenched image of women as sole carers. Third, establishing an inclusive child care system based on full-day care with extended-hour add-ons can ease family care burdens and enable both parents to participate more fully in paid employment.

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