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| 基于PMC指数模型的美国核安全监管政策文本量化研究 |
| Quantitative Research on U.S. Nuclear Safety Regulatory Policy Texts Based on the PMC Index Model |
| 投稿时间：2025-02-19 修订日期：2025-03-11 |
| DOI： |
| 中文关键词: 核安全监管 政策文本 PMC指数模型 LDA模型 |
| English Keywords:Nuclear Safety Regulation Policy Texts PMC Index Model LDA Model |
| Fund Project: |
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| 中文摘要: |
| 本文首先采用LDA模型政策文本挖掘方法对美国的15项核安全监管政策文本开展质性研究,定位政策关注领域,发掘核心主题。然后基于PMC指数模型对政策文本进行量化评价,深入评估美国核安全监管政策的制定情况。研究结果表明,美国核安全监管政策整体评价优秀,特别是在政策领域、政策评价、保障和激励以及政策工具这几个方面。这也给我国核安全监管带来了一些可供借鉴的经验,一是在具体的政策制定过程中应强调保障体系与多方参与；二是灵活运用多种政策工具；三是加强跨部门间的协作机制,保证政策高效实施。 |
| English Summary: |
| This study first employs the LDA model for policy text mining to conduct a qualitative analysis of 15 U.S. nuclear safety regulatory policy texts, identifying key policy focus areas and uncovering core themes. Subsequently, a quantitative evaluation of the policy texts is performed using the PMC index model to thoroughly assess the formulation of U.S. nuclear safety regulatory policies. The research findings indicate that U.S. nuclear safety regulatory policies are generally well-evaluated, particularly in terms of policy domains, policy evaluation, safeguards and incentives, and policy instruments. This provides valuable insights for China"s nuclear safety regulatory framework, including: First, emphasizing the establishment of a robust safeguard system and multi-stakeholder participation during the policy formulation process; Second, flexibly utilizing a variety of policy instruments; and Third, enhancing interdepartmental collaboration mechanisms to ensure efficient policy implementation. |
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