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Spatial Variations in Fertility of South Korea: A Geographically Weighted Regression Approach

1
Department of Population Health, London School of Hygiene and Tropical Medicine, London WC1E 7HT, UK
2
Department of Public Health Science, Graduate School of Public Health, Seoul National University, Seoul 08826, Korea
3
Department of Social Welfare, Graduate School of Social Welfare, Ewha Womans University, Seoul 03760, Korea
*
Author to whom correspondence should be addressed.
ISPRS Int. J. Geo-Inf. 2019, 8(6), 262; https://doi.org/10.3390/ijgi8060262
Received: 5 May 2019 / Revised: 28 May 2019 / Accepted: 4 June 2019 / Published: 5 June 2019
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Abstract

South Korea has witnessed a remarkable decline in birth rates in the last few decades. Although there has been a large volume of literature exploring the determinants of low fertility in South Korea, studies on spatial variations in fertility are scarce. This study compares the Ordinary Least Squares (OLS) and Geographically Weighted Regression (GWR) models to investigate the potential role of the spatially heterogeneous response of the total fertility rate (TFR) to sociodemographic factors. The study finds that the relationships between sociodemographic factors and TFRs in South Korea vary across 252 sub-administrative areas in terms of both magnitude and direction. This study therefore demonstrates the value of using spatial analysis for providing evidence-based local-population policy options in pursuit of a fertility rebound in South Korea. View Full-Text
Keywords: low fertility; spatial analysis; GIS; regional fertility differentials; total fertility rate low fertility; spatial analysis; GIS; regional fertility differentials; total fertility rate
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Jung, M.; Ko, W.; Choi, Y.; Cho, Y. Spatial Variations in Fertility of South Korea: A Geographically Weighted Regression Approach. ISPRS Int. J. Geo-Inf. 2019, 8, 262.

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