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ORIGINAL RESEARCH article

Front. Public Health
Sec. Public Health Policy
Volume 13 - 2025 | doi: 10.3389/fpubh.2025.1533307

Evaluation of China's Fertility Policy Based on PMC Modeling

Provisionally accepted
Jie Chen Jie Chen 1Yan Gao Yan Gao 2Xi Wang Xi Wang 3,4*
  • 1 The Experimental School, the Open University of China, Changchun, Hebei Province, China
  • 2 Jilin Land Planning Research Office, Changchun, Hebei Province, China
  • 3 Changchun Guanghua University, Changchun, Jilin, China
  • 4 Institute of Economic Research, Jilin Academy of Social Sciences, Changchun, Hebei Province, China

The final, formatted version of the article will be published soon.

    Background: The fertility level has declined to below replacement level in many countries. Hence, evaluating the fertility policies is crucial for policy intervention to achieve sustainable development.However, research on assessing fertility policies remains limited.Objective/Methodology: This study introduces a Policy Maturity and Consistency (PMC) index model based on text mining techniques to analyze 22 fertility policy documents. The analysis model aims to identify policy deficiencies and provide actionable insights for improving future policy frameworks.Results: Our study shows that, despite a comprehensive design and high consistency, significant gaps remain in areas such as policy objectives and thematic focus. Specific recommendations are proposed to enhance policy effectiveness, including fostering multi-stakeholder collaboration, integrating economic and policy-based support mechanisms, and promoting a shift in reproductive culture.

    Keywords: Fertility policy, text mining, pmc index, Policy evaluation, policy optimization

    Received: 23 Nov 2024; Accepted: 24 Jan 2025.

    Copyright: © 2025 Chen, Gao and Wang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence: Xi Wang, Changchun Guanghua University, Changchun, 130031, Jilin, China

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.