Relationship between family policies and fertility changes in Japanese municipalities

Japan has been implementing family policies to restore fertility. Its municipalities provide residents with family policies under a government-created system. However, many municipalities offer additional family policies that often differ between municipalities. This study explored the relationship between family policies by municipalities and fertility rate changes from the mid-2000s to mid-2010s. The data used were from a sample survey conducted for municipalities, combined with regional data divided by municipality (N = 568). The data were analyzed using multiple regression analysis. In municipalities with relatively large populations, the higher the number of implemented measures, the higher the fertility rate change. This relationship was observed for approximately 5–10 years after the implementation of the family policy. These results suggest that implementing various measures by Japanese municipalities to support different types of families may have contributed to the increase in total fertility rate, and that it took some time for the family policies to affect total fertility rate. • Many Japanese cities offer family policies beyond those offered nationally. • The goal of family policies is to increase fertility rates. • The municipalities that implemented more family policies saw higher rate increases. • The effect of the implemented policies lasted for 5–10 years.

Authors

Institutions

Publication Details

Journal
Social Sciences & Humanities Open
Published
2025-01-01
DOI
https://doi.org/10.1016/j.ssaho.2025.101869
Primary Topic
Family Dynamics and Relationships
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Relationship between family policies and fertility changes in Japanese municipalities

Shigeki Matsuda, Kenji Kamata
Social Sciences & Humanities Open
Family Dynamics and Relationships
article

Relationship between family policies and fertility changes in Japanese municipalities

Shigeki Matsuda, Kenji Kamata
article en

Abstract

Japan has been implementing family policies to restore fertility. Its municipalities provide residents with family policies under a government-created system. However, many municipalities offer additional family policies that often differ between municipalities. This study explored the relationship between family policies by municipalities and fertility rate changes from the mid-2000s to mid-2010s. The data used were from a sample survey conducted for municipalities, combined with regional data divided by municipality (N = 568). The data were analyzed using multiple regression analysis. In municipalities with relatively large populations, the higher the number of implemented measures, the higher the fertility rate change. This relationship was observed for approximately 5–10 years after the implementation of the family policy. These results suggest that implementing various measures by Japanese municipalities to support different types of families may have contributed to the increase in total fertility rate, and that it took some time for the family policies to affect total fertility rate. • Many Japanese cities offer family policies beyond those offered nationally. • The goal of family policies is to increase fertility rates. • The municipalities that implemented more family policies saw higher rate increases. • The effect of the implemented policies lasted for 5–10 years.

Social Sciences & Humanities OpenVol. 12
Surugadai University (JP), Meiji University (JP), Chukyo University (JP)
Gender equality
Openalex Percentile: Top 65%
Family Dynamics and Relationships
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.