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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Frontiers Media S.A.
2025-02-01
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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 |
id | doaj-art-0480bc043bf0469d889cf7c2577a1fe6 |
institution | Kabale University |
issn | 2296-2565 |
language | English |
publishDate | 2025-02-01 |
publisher | Frontiers Media S.A. |
record_format | Article |
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 |