Different places, different stories: A study of the spatial heterogeneity of county-level fertility in China

Donghui Wang, Guangqing Chi

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

BACKGROUND China has been characterized by persistently low fertility rates since the 1990s. Existing literature has examined the relationship between fertility levels and social, economic, and policy-related determinants. However, the possible spatial variation in these relationships has not been investigated. OBJECTIVE The purpose of this study is to examine the potential spatially varying relationships between county-level fertility rates and policy and socioeconomic factors in China. METHODS Using geocoded 2010 county-level census data, this study adopts the geographically weighted regression (GWR) method to identify place-specific relationships between county-level total fertility rate (TFR) and socioeconomic and policy-related factors. CONCLUSIONS We find that relationships between TFR and widely used social, economic, and policyrelated factors (rural Hukou, ethnic minority, female education, net migration rate, poor living standard, sex ratio at birth, fertility policy compliance ratio) vary spatially in terms of direction, strength, and magnitude. This spatial variation is largely due to differences in local characteristics. The differences between and the complexities of localities cannot be told by a single story of either government intervention or socioeconomic development. CONTRIBUTION This study extends existing fertility research on China by explicitly recognizing the spatial heterogeneity in the impact of policy and socioeconomic factors on the local fertility rate. This study sets the stage for future research that will contextually analyze varying fertility rates at the subnational level in China and other countries.

Original languageEnglish (US)
Pages (from-to)493-526
Number of pages34
JournalDemographic Research
Volume37
Issue number1
DOIs
StatePublished - Aug 23 2017

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fertility rate
fertility
China
socioeconomic factors
social economics
sex ratio
socioeconomic development
living standard
national minority
census
migration
determinants
regression
education

All Science Journal Classification (ASJC) codes

  • Demography

Cite this

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abstract = "BACKGROUND China has been characterized by persistently low fertility rates since the 1990s. Existing literature has examined the relationship between fertility levels and social, economic, and policy-related determinants. However, the possible spatial variation in these relationships has not been investigated. OBJECTIVE The purpose of this study is to examine the potential spatially varying relationships between county-level fertility rates and policy and socioeconomic factors in China. METHODS Using geocoded 2010 county-level census data, this study adopts the geographically weighted regression (GWR) method to identify place-specific relationships between county-level total fertility rate (TFR) and socioeconomic and policy-related factors. CONCLUSIONS We find that relationships between TFR and widely used social, economic, and policyrelated factors (rural Hukou, ethnic minority, female education, net migration rate, poor living standard, sex ratio at birth, fertility policy compliance ratio) vary spatially in terms of direction, strength, and magnitude. This spatial variation is largely due to differences in local characteristics. The differences between and the complexities of localities cannot be told by a single story of either government intervention or socioeconomic development. CONTRIBUTION This study extends existing fertility research on China by explicitly recognizing the spatial heterogeneity in the impact of policy and socioeconomic factors on the local fertility rate. This study sets the stage for future research that will contextually analyze varying fertility rates at the subnational level in China and other countries.",
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Different places, different stories : A study of the spatial heterogeneity of county-level fertility in China. / Wang, Donghui; Chi, Guangqing.

In: Demographic Research, Vol. 37, No. 1, 23.08.2017, p. 493-526.

Research output: Contribution to journalArticle

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