Total Fertility Rate relations in South Korea, evaluating the correlation of
factors with the TFR of South Korea: Approach with Regression Analysis

Jinwoo Lim

doi:10.46609/IJSSER.2025.v10i10.032

Title: Total Fertility Rate relations in South Korea, evaluating the correlation of factors with the TFR of South Korea: Approach with Regression Analysis
Authors: Jinwoo Lim
Journal: International Journal of Social Science and Economic Research (IJSSER) ISSN: 2455-8834 Volume: 10 Issue: 10 Publication Date: October 2025 DOI: 10.46609/IJSSER.2025.v10i10.032
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Jinwoo Lim North London Collegiate School Jeju
MLA 8 Lim, Jinwoo. "Total Fertility Rate relations in South Korea, evaluating the correlation of factors with the TFR of South Korea: Approach with Regression Analysis." Int. j. of Social Science and Economic Research, vol. 10, no. 10, Oct. 2025, pp. 5075-5089, doi.org/10.46609/IJSSER.2025.v10i10.032. Accessed Oct. 2025. APA 6 Lim, J. (2025, October). Total Fertility Rate relations in South Korea, evaluating the correlation of factors with the TFR of South Korea: Approach with Regression Analysis. Int. j. of Social Science and Economic Research, 10(10), 5075-5089. Retrieved from https://doi.org/10.46609/IJSSER.2025.v10i10.032 Chicago Lim, Jinwoo. "Total Fertility Rate relations in South Korea, evaluating the correlation of factors with the TFR of South Korea: Approach with Regression Analysis." Int. j. of Social Science and Economic Research 10, no. 10 (October 2025), 5075-5089. Accessed October, 2025. https://doi.org/10.46609/IJSSER.2025.v10i10.032.
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ABSTRACT: South Korea’s low fertility rate poses significant economic challenges, as it reduces workforce numbers, lowers productivity, and increases dependency. This study examines the economic factors and policy interventions that may impact total fertility rates. Using linear regression models, the analysis tests the hypothesis that tax credits, parental leave duration, and health expenditure have a positive correlation with fertility, while childcare costs, housing price index, youth unemployment, and contraception rate have a negative correlation. Results show that fertility rates are most strongly associated with health expenditure priorities and contraceptive availability, while the association of family benefits such as childcare support and parental leave policies remains limited once long-term demographic patterns are taken into account.

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