Guo Yiting, Mou Yuqi, Peng Yan, Zhang Chen
Economics and Management School, Wuhan University, Wuhan, China.
The Wang Yanan Institute for Studies in Economics, Xiamen University, Xiamen, China.
Front Public Health. 2025 Aug 18;13:1631821. doi: 10.3389/fpubh.2025.1631821. eCollection 2025.
China's persistent fertility decline poses serious long-term demographic and socioeconomic challenges. The COVID-19 pandemic has introduced additional uncertainty, raising questions about how external shocks affect fertility intentions in real time.
This study examines the causal impact of localized COVID-19 shocks on fertility intentions in China, as measured by high-frequency digital search data that capture real-time behavioral shifts.
We construct a monthly city-level fertility index based on Baidu search volumes for pregnancy-related keywords across 222 cities (2019-2022). COVID-19 exposure is measured using sustained "high-risk" status over 14 consecutive days. A staggered difference-in-differences design is employed, with robustness checks including imputation-based estimators, event-study analysis, and heterogeneity analysis by city characteristics.
COVID-19 shocks led to a significant 5.4% decline ( < 0.01) in fertility-related search activity across Chinese prefecture-level cities. Event study confirmed persistent post-shock suppression, while placebo simulations confirmed the robustness of the identification strategy. Heterogeneity analysis revealed stronger declines in cities with higher GDP per capita ( < 0.01), greater urbanization ( < 0.01), and larger female population shares ( < 0.01), highlighting the amplifying role of local socioeconomic conditions.
Fertility intentions respond sharply to pandemic-related uncertainty, especially under pressure from economic and institutional constraints. The findings underscore the fragility of reproductive intentions under uncertainty and highlight the importance of tailoring fertility policy to local socioeconomic environments.
中国持续的生育率下降带来了严重的长期人口和社会经济挑战。新冠疫情增加了额外的不确定性,引发了关于外部冲击如何实时影响生育意愿的问题。
本研究通过高频数字搜索数据来衡量实时行为变化,考察局部新冠疫情冲击对中国生育意愿的因果影响。
我们基于2019 - 2022年期间222个城市百度与怀孕相关关键词的搜索量构建了月度城市层面的生育指数。使用连续14天的持续“高风险”状态来衡量新冠疫情暴露情况。采用交错差分设计,并进行稳健性检验,包括基于插补的估计量、事件研究分析以及按城市特征进行的异质性分析。
新冠疫情冲击导致中国地级市与生育相关的搜索活动显著下降了5.4%(<0.01)。事件研究证实了冲击后持续的抑制作用,而安慰剂模拟证实了识别策略的稳健性。异质性分析显示,在人均GDP较高(<0.01)、城市化程度较高(<0.01)和女性人口占比更大(<0.01)的城市中,下降幅度更大,凸显了当地社会经济状况的放大作用。
生育意愿对与疫情相关的不确定性反应强烈,尤其是在经济和制度约束的压力下。研究结果强调了不确定性下生育意愿的脆弱性,并突出了根据当地社会经济环境制定生育政策的重要性。