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The educational differential in fertility in transitional China: Temporal and regional variation

Author

Listed:
  • Jianlin Niu

    (Chinese Academy of Social Sciences (CASS))

  • Yaqiang Qi

    (Renmin University of China)

Abstract

Background: Education expansion has contributed significantly to fertility decline during the worldwide fertility transition. Yet, it is less clear whether the educational gradient in fertility remains stable and persists in the post-transition era. In light of the rapid education expansion in many low-fertility countries, the education–fertility nexus becomes increasingly relevant to demographic and socioeconomic prospects. Objective: In this study we investigate the education–fertility relationship in China by focusing on its robustness in different socio-institutional contexts both during and after the demographic transition. Methods: We use the cohort parity progression ratios (PPRs) to unveil women’s reproduction progress over the life course. The PPRs are estimated for each educational group, jointly classified by cohort, period, place of residence, and province, using China’s census and mini-census data between 1982 and 2015. We fit multilevel models to investigate the education–fertility relationship and to explore its temporal and contextual variation. Results: We find strong empirical support for a negative association between women’s education and each of the successive PPRs in China, both during and after the course of fertility transition. Nevertheless, the strength of the relationship changes over time, particularly for second and higher order births. The education–fertility link also varies profoundly by contextual features. Contribution: This study extends the literature by exploring the potential dynamics and structural variation of the education–fertility link from demographically transitional to post-transition China. The results provide a panoramic picture of fertility change in China, and insights that lead to a better understanding of world population prospects in the post-transition era.

Suggested Citation

  • Jianlin Niu & Yaqiang Qi, 2020. "The educational differential in fertility in transitional China: Temporal and regional variation," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 42(22), pages 657-688.
  • Handle: RePEc:dem:demres:v:42:y:2020:i:22
    DOI: 10.4054/DemRes.2020.42.22
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    References listed on IDEAS

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    1. Kryštof Zeman, 2018. "Cohort fertility and educational expansion in the Czech Republic during the 20th century," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 38(56), pages 1699-1732.
    2. Jonas Wood & Tine Kil & Karel Neels, 2014. "The educational gradient of childlessness and cohort parity progression in 14 low fertility countries," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 31(46), pages 1365-1416.
    3. Anne Goujon & Wolfgang Lutz & Samir KC, 2015. "Education stalls and subsequent stalls in African fertility: A descriptive overview," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 33(47), pages 1281-1296.
    4. Chi Zhang, 2017. "Population in China," Europe-Asia Studies, Taylor & Francis Journals, vol. 69(8), pages 1333-1334, September.
    5. William Lavely & Ronald Freedman, 1990. "The Origins of the Chinese Fertility Decline," Demography, Springer;Population Association of America (PAA), vol. 27(3), pages 357-367, August.
    6. Jennie Brand & Dwight Davis, 2011. "The Impact of College Education on Fertility: Evidence for Heterogeneous Effects," Demography, Springer;Population Association of America (PAA), vol. 48(3), pages 863-887, August.
    7. Marcantonio Caltabiano & Alessandro Rosina & Maria Castiglioni, 2009. "Lowest-Low Fertility: Signs of a recovery in Italy?," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 21(23), pages 681-718.
    8. Ewa Batyra, 2016. "Fertility and the changing pattern of the timing of childbearing in Colombia," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 35(46), pages 1343-1372.
    9. James M. Raymo & Miho Iwasawa & Brienna Perelli-Harris & Marcia Carlson & Sojung Lim & Alicia VanOrman, 2015. "Educational differences in early childbearing," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 33(3), pages 65-92.
    10. Sam Hyun Yoo, 2014. "Educational differentials in cohort fertility during the fertility transition in South Korea," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 30(53), pages 1463-1494.
    11. Jan Van Bavel, 2014. "The mid-twentieth century Baby Boom and the changing educational gradient in Belgian cohort fertility," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 30(33), pages 925-962.
    12. Dudley Poston & Baochang Gu, 1987. "Socioeconomic development, family planning, and fertility in China," Demography, Springer;Population Association of America (PAA), vol. 24(4), pages 531-551, November.
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    More about this item

    Keywords

    education; educational differences; parity progression ratio; fertility transition; low fertility;
    All these keywords.

    JEL classification:

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

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