Textual quantitative analysis of China’s fertility-friendly policies——based on a two dimensional analytical framework of policy tools and policy objectives

To quantitatively analyze China’s fertility-friendly policies issued from 2016 to 2025, examine their structural characteristics and evolution, and provide evidence for policy optimization. A two-dimensional framework of “policy tools–policy objectives” was constructed. Content analysis, word frequency analysis, and semantic network analysis were applied to 46 central-level fertility-friendly policy texts. The number of fertility-friendly policies showed an overall upward trend with clear phased features. The policy system demonstrated service orientation, system coordination, and multi-level advancement. Environmental, supply, and demand policy tools accounted for 40.65%, 40.29%, and 19.06%, respectively, indicating an imbalanced distribution of policy tools at the central-government level. In terms of policy obectives, service-friendly, cultural and social-friendly, and interpersonal-friendly goals accounted for 73.14%, 24.32%, and 2.54%, respectively, revealing an uneven goal hierarchy. The alignment between policy tools and policy objectives was insufficient, and system coordination remained weak. China’s fertility-friendly policy system has shifted from initial exploration to systematic development, forming a relatively diversified but still structurally unbalanced policy structure. Future policies should increase direct financial subsidies, expand paid parental leave, and strengthen employer responsibility-sharing mechanisms, while enhancing coordination between service provision and interpersonal support systems and promoting the construction of a multi-level fertility support network involving government, society, communities, and families to improve overall policy effectiveness.

Authors

Institutions

Publication Details

Journal
BMC Public Health
Published
2026-03-05
DOI
https://doi.org/10.1186/s12889-026-26856-w
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

Textual quantitative analysis of China’s fertility-friendly policies——based on a two dimensional analytical framework of policy tools and policy objectives

Runjie Sun, Yijing Li, Ying Liu, Yi Kang et al.
BMC Public Health
Family Dynamics and Relationships
article

Textual quantitative analysis of China’s fertility-friendly policies——based on a two dimensional analytical framework of policy tools and policy objectives

Runjie Sun, Yijing Li, Ying Liu, Yi Kang, Li Zhang, Ziyue Chen, Jinxin Zhou, Huiling wu, Guoxiang Guan
article en

Abstract

To quantitatively analyze China’s fertility-friendly policies issued from 2016 to 2025, examine their structural characteristics and evolution, and provide evidence for policy optimization. A two-dimensional framework of “policy tools–policy objectives” was constructed. Content analysis, word frequency analysis, and semantic network analysis were applied to 46 central-level fertility-friendly policy texts. The number of fertility-friendly policies showed an overall upward trend with clear phased features. The policy system demonstrated service orientation, system coordination, and multi-level advancement. Environmental, supply, and demand policy tools accounted for 40.65%, 40.29%, and 19.06%, respectively, indicating an imbalanced distribution of policy tools at the central-government level. In terms of policy obectives, service-friendly, cultural and social-friendly, and interpersonal-friendly goals accounted for 73.14%, 24.32%, and 2.54%, respectively, revealing an uneven goal hierarchy. The alignment between policy tools and policy objectives was insufficient, and system coordination remained weak. China’s fertility-friendly policy system has shifted from initial exploration to systematic development, forming a relatively diversified but still structurally unbalanced policy structure. Future policies should increase direct financial subsidies, expand paid parental leave, and strengthen employer responsibility-sharing mechanisms, while enhancing coordination between service provision and interpersonal support systems and promoting the construction of a multi-level fertility support network involving government, society, communities, and families to improve overall policy effectiveness.

BMC Public Health
China Population and Development Research Center (CN), Yangzhou University (CN)
Openalex Percentile: Top 45%
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.