Convergence of Low‐Fertility Policies Beyond Policy Transfer: A Comparative Analysis of Korea and Hungary

ABSTRACT This study compares policy responses to persistent low fertility in Korea and Hungary, two countries facing similar demographic pressures but embedded in distinct institutional settings. It asks whether the diffusion of pronatalist policies has produced convergence in the design, implementation, and effects of fertility policy in these cases. Drawing on comparative institutional analysis and recent policy and demographic data, the study shows that although both countries have adopted similar instruments—including cash transfers, housing support, and parental leave—their policy frameworks differ substantially in governance, targeting, and political justification. Korea's approach is fragmented, technocratic, and broadly inclusive, whereas Hungary's is centralized, ideologically framed, and more selective in its targeting. The findings suggest that similar policy instruments do not necessarily generate similar demographic or social outcomes: Korea has remained at ultra‐low fertility with limited evidence of behavioral response, while Hungary experienced a modest and temporary increase in fertility alongside heightened political salience. These findings challenge the assumption that benchmarking similar policy instruments ensures substantive convergence in outcomes. This study refines policy convergence theory by distinguishing instrumental similarity from deeper divergence in institutional logic, governance, and implementation intensity.

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Publication Details

Journal
Public Administration and Development
Published
2026-08-25
DOI
https://doi.org/10.1002/pad.70115
Primary Topic
Policy Transfer and Learning
Type
article
Field-Weighted Citation Impact
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article

Convergence of Low‐Fertility Policies Beyond Policy Transfer: A Comparative Analysis of Korea and Hungary

M. Jin Lee, Kilkon Ko, Tamás Pesuth
Public Administration and Development
Policy Transfer and Learning
article

Convergence of Low‐Fertility Policies Beyond Policy Transfer: A Comparative Analysis of Korea and Hungary

M. Jin Lee, Kilkon Ko, Tamás Pesuth
article en

Abstract

ABSTRACT This study compares policy responses to persistent low fertility in Korea and Hungary, two countries facing similar demographic pressures but embedded in distinct institutional settings. It asks whether the diffusion of pronatalist policies has produced convergence in the design, implementation, and effects of fertility policy in these cases. Drawing on comparative institutional analysis and recent policy and demographic data, the study shows that although both countries have adopted similar instruments—including cash transfers, housing support, and parental leave—their policy frameworks differ substantially in governance, targeting, and political justification. Korea's approach is fragmented, technocratic, and broadly inclusive, whereas Hungary's is centralized, ideologically framed, and more selective in its targeting. The findings suggest that similar policy instruments do not necessarily generate similar demographic or social outcomes: Korea has remained at ultra‐low fertility with limited evidence of behavioral response, while Hungary experienced a modest and temporary increase in fertility alongside heightened political salience. These findings challenge the assumption that benchmarking similar policy instruments ensures substantive convergence in outcomes. This study refines policy convergence theory by distinguishing instrumental similarity from deeper divergence in institutional logic, governance, and implementation intensity.

Public Administration and Development
Seoul National University of Science and Technology (KR), Seoul National University (KR), Seoul National University of Education (KR), Corvinus University of Budapest (HU)
Openalex Percentile: Top 3%
Policy Transfer and Learning
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Convergence of Low‐Fertility Policies Beyond Policy Transfer: A Comparative Analysis of Korea and Hungary — M. Jin Lee, Kilkon Ko, et al. · Public Administration and Development (2026) | TGRS Research Map | TGRS