IDEAS home Printed from https://ideas.repec.org/a/dem/demres/v53y2025i18.html
   My bibliography  Save this article

Universal yet local: Estimating county-level fertility ideals and intentions in China

Author

Listed:
  • Donghui Wang

    (University of Macau)

  • Yongai Jin

    (Renmin University of China)

  • Tao Liu

    (Peking University)

Abstract

Background: Understanding China’s persistent low fertility requires detailed information regarding fertility attitudes at a finer geographic scale. However, data on fertility preferences at appropriate spatial resolutions are often unavailable. Objective: This study aims to estimate county-level fertility ideals and intentions in China. Methods: This study employs the multilevel regression and post-stratification method to estimate county-level fertility ideals and intentions. Fertility ideals and intentions data are drawn from a large national fertility survey, while post-stratification data come from the 2020 population census. The estimates are internally validated using a split sample approach and externally validated against independent national and regional surveys. Results: The estimates reveal that the county-level average ideal number of children for women of reproductive age is 1.98 (ranging from 1.29 to 3.78), while the average for the intended number of children is 1.81, with a broader range (1.02 to 3.96). The spatial distribution of fertility ideals exhibits a north–south contrast, suggesting cultural influences on family norms. Fertility intentions show coastal–inland disparities, underscoring socioeconomic conditions. Within-province variations are no less than between-province variations. Contribution: These findings highlight the complexity of the fertility attitudes landscape in China. The estimates also serve as an important data source for predicting future fertility and designing place-based policies.

Suggested Citation

  • Donghui Wang & Yongai Jin & Tao Liu, 2025. "Universal yet local: Estimating county-level fertility ideals and intentions in China," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 53(18), pages 525-568.
  • Handle: RePEc:dem:demres:v:53:y:2025:i:18
    DOI: 10.4054/DemRes.2025.53.18
    as

    Download full text from publisher

    File URL: https://www.demographic-research.org/volumes/vol53/18/53-18.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.4054/DemRes.2025.53.18?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    JEL classification:

    • J1 - Labor and Demographic Economics - - Demographic Economics
    • Z0 - Other Special Topics - - General

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:dem:demres:v:53:y:2025:i:18. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Editorial Office (email available below). General contact details of provider: https://www.demogr.mpg.de/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.