Spatial Fertility Variation in China: The Role of Population Composition, Context and Spillover

ABSTRACT This study analyses spatial variation in fertility and its determinants, including their direct and spillover impact, in China. We apply spatial regression models to the 2000 population census. The results show, first, that there is significant spatial variation in fertility at the county level in China and that counties with similar fertility levels tend to cluster together. Second, the total fertility rate (TFR) is higher in counties with a smaller proportion of highly educated females, a larger proportion of agricultural workers, a larger share of the married population, and a larger proportion of ethnic minorities. Higher GDP per capita is associated with lower TFR. This study highlights that both population composition and context can explain spatial variation in fertility in China, indicating that individuals' characteristics as well as the context in which they live influence their fertility behaviour. It additionally emphasises the spillover impact of population composition and context from neighbouring counties on the fertility level in a given county.

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Publication Details

Journal
Population Space and Place
Published
2025-10-15
DOI
https://doi.org/10.1002/psp.70124
Citations
2
Primary Topic
Demographic Trends and Gender Preferences
Type
article
Field-Weighted Citation Impact
7.73
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article

Spatial Fertility Variation in China: The Role of Population Composition, Context and Spillover

Júlia Mikolai, Keqiang Hu, Hill Kulu
2 citations
Population Space and Place
Demographic Trends and Gender Preferences
7.73
article

Spatial Fertility Variation in China: The Role of Population Composition, Context and Spillover

Júlia Mikolai, Keqiang Hu, Hill Kulu
article en
2 citations

Abstract

ABSTRACT This study analyses spatial variation in fertility and its determinants, including their direct and spillover impact, in China. We apply spatial regression models to the 2000 population census. The results show, first, that there is significant spatial variation in fertility at the county level in China and that counties with similar fertility levels tend to cluster together. Second, the total fertility rate (TFR) is higher in counties with a smaller proportion of highly educated females, a larger proportion of agricultural workers, a larger share of the married population, and a larger proportion of ethnic minorities. Higher GDP per capita is associated with lower TFR. This study highlights that both population composition and context can explain spatial variation in fertility in China, indicating that individuals' characteristics as well as the context in which they live influence their fertility behaviour. It additionally emphasises the spillover impact of population composition and context from neighbouring counties on the fertility level in a given county.

Population Space and PlaceVol. 31(8)
University of St Andrews (GB)
Openalex Percentile: Top 3%
Demographic Trends and Gender Preferences
7.73
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Spatial Fertility Variation in China: The Role of Population Composition, Context and Spillover — Júlia Mikolai, Keqiang Hu, et al. · Population Space and Place (2025) | TGRS Research Map | TGRS