Evaluation of China’s fertility policy based on PMC modeling

BackgroundThe 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/methodologyThis study i...

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Main Authors: Jie Chen, Yan Gao, Xi Wang
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-02-01
Series:Frontiers in Public Health
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Online Access:https://www.frontiersin.org/articles/10.3389/fpubh.2025.1533307/full
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author Jie Chen
Yan Gao
Xi Wang
Xi Wang
author_facet Jie Chen
Yan Gao
Xi Wang
Xi Wang
author_sort Jie Chen
collection DOAJ
description BackgroundThe 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/methodologyThis 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.ResultsOur 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.
format Article
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institution Kabale University
issn 2296-2565
language English
publishDate 2025-02-01
publisher Frontiers Media S.A.
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series Frontiers in Public Health
spelling doaj-art-0480bc043bf0469d889cf7c2577a1fe62025-02-05T07:32:31ZengFrontiers Media S.A.Frontiers in Public Health2296-25652025-02-011310.3389/fpubh.2025.15333071533307Evaluation of China’s fertility policy based on PMC modelingJie Chen0Yan Gao1Xi Wang2Xi Wang3The Experimental School, The Open University of China, Beijing, ChinaJilin Land Planning Research Office, Changchun, ChinaSchool of Management, Changchun Guanghua College, Changchun, ChinaInstitute of Economic Research, Jilin Academy of Social Sciences, Changchun, ChinaBackgroundThe 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/methodologyThis 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.ResultsOur 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.https://www.frontiersin.org/articles/10.3389/fpubh.2025.1533307/fullfertility policytext miningPMC indexpolicy evaluationpolicy optimization
spellingShingle Jie Chen
Yan Gao
Xi Wang
Xi Wang
Evaluation of China’s fertility policy based on PMC modeling
Frontiers in Public Health
fertility policy
text mining
PMC index
policy evaluation
policy optimization
title Evaluation of China’s fertility policy based on PMC modeling
title_full Evaluation of China’s fertility policy based on PMC modeling
title_fullStr Evaluation of China’s fertility policy based on PMC modeling
title_full_unstemmed Evaluation of China’s fertility policy based on PMC modeling
title_short Evaluation of China’s fertility policy based on PMC modeling
title_sort evaluation of china s fertility policy based on pmc modeling
topic fertility policy
text mining
PMC index
policy evaluation
policy optimization
url https://www.frontiersin.org/articles/10.3389/fpubh.2025.1533307/full
work_keys_str_mv AT jiechen evaluationofchinasfertilitypolicybasedonpmcmodeling
AT yangao evaluationofchinasfertilitypolicybasedonpmcmodeling
AT xiwang evaluationofchinasfertilitypolicybasedonpmcmodeling
AT xiwang evaluationofchinasfertilitypolicybasedonpmcmodeling