EconPapers    
Economics at your fingertips  
 

Childcare Balancing Policy in Japanese Corporations and Women’s Fertility Intention

Yerong Zhao ()
Additional contact information
Yerong Zhao: Graduate School of Arts and Letters, Tohoku University, Kawauchi 27-1, Aoba Ward, Sendai 980-8576, Miyagi, Japan

Social Sciences, 2024, vol. 13, issue 3, 1-14

Abstract: This study aimed to investigate the relationship between the childcare balancing policy and women’s fertility intention in Japanese corporations. This paper constructed two logistic regression models based on data from the 2010 Japanese Life Course Survey of Youth to analyze the correlation between childcare balancing policies and women’s fertility intentions. The binary logistic regression method was used. The results showed that women’s fertility intention is negatively associated with the childcare balancing policy in Japanese corporations. This may be because the research object already had a child or children. The results indicate that the fertility intention of women who had a child or children was lower than those without children. This paper discovered that regular employees had higher fertility intentions than non-regular staff. This paper provides policymakers with valuable insights on establishing effective childcare policies to enhance women’s fertility intentions.

Keywords: fertility intention; childcare balancing policy; Japanese corporations (search for similar items in EconPapers)
JEL-codes: A B N P Y80 Z00 (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/2076-0760/13/3/175/pdf (application/pdf)
https://www.mdpi.com/2076-0760/13/3/175/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jscscx:v:13:y:2024:i:3:p:175-:d:1360575

Access Statistics for this article

Social Sciences is currently edited by Ms. Yvonne Chu

More articles in Social Sciences from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().

 
Page updated 2025-03-19
Handle: RePEc:gam:jscscx:v:13:y:2024:i:3:p:175-:d:1360575