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基于PMC知识框架的文本挖掘对澳门环境政策的动态评估
Rongjiang Cai1,2, Tao Zhang2, Xi Wang2
1School of Economics and Management, Ningbo University of Technology, Ningbo, China.
PloS one
|November 18, 2025
概括
澳门 - 澳门 - 澳门 - 澳门
科学领域:
- 环境政策 环境政策
- 公共管理 公共管理
- 文本挖掘 (Text Mining) 是一个很好的方法.
背景情况:
- 澳门环境政策转让后发展轨迹的分析.
- 专注于生态系统资源投资和综合管理系统.
研究的目的:
- 通过文本挖掘探索澳门的环境政策发展.
- 通过使用PMC指数模型,从数量上评估2010-2024年的环境政策.
主要方法:
- 政府政策声明的文本挖掘.
- 使用PMC指数模型进行定量分析 (9个主要变量,50个次要变量).
- 三维PMC表面图和多维输入输出表分析.
主要成果:
- 澳门的环境政策显示增加投资和多元化战略.
- 政策在评估和披露方面取得了完美的成绩,但在及时性和区域范围方面落后.
- 发现了透明度和基于证据的设计方面的优点.
结论:
- 环境政策设计得很好,但需要改进长期战略.
- 建议在大湾区内加强跨境合作.
- 重点领域包括气候适应,污染控制,生态系统保护和可持续城市发展.
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