基于PMC-AE指数模型的应急产业发展政策量化评价研究

Quantitative Evaluation of Emergency Industry Development Policies Based on the PMC-AE Index Model

摘要: [目的/意义]：应急产业作为保障公共安全与应对突发事件的关键领域，其政策优化对提升国家应急管理能力至关重要。[方法/过程]：本文利用文本挖掘技术、LDA主题建模等方法发现政策主题，利用PMC-AE指数评价模型系统评估2014~2024年中共中央及地方政府发布的14项应急产业政策。[结果/结论]：实证结果表明：政策样本得分均较高，说明政策文本内容设定较为合理且符合现实需求，但在性质、激励措施、工具等方面仍存在需要完善的空间。本文提出以下建议：(1) 增加政策文本中涉及监管及建议的内容。(2) 完善激励措施，改善政策实施精准度。(3) 优化供给型、需求型、环境型政策工具组合，合理安排结构占比以促进目标达成。(4) 制订政企协同机制，增进政策落地功效。

Abstract: [Purpose/Significance]: As a key area for ensuring public safety and responding to emergencies, emergency industry policy optimization is crucial for enhancing national emergency management capabilities. [Methods/Process]: This paper uses text mining, LDA topic modeling and the PMC-AE index evaluation model to assess 14 emergency industry policies issued by Chinese central and local governments from 2014 to 2024. [Results/Conclusions]: Results show high policy scores, indicating reasonable and demand-aligned content. Yet, improvements are needed in attributes, incentives and policy tools. Recommendations include: (1) adding regulatory and advisory content; (2) refining incentives for better implementation precision; (3) optimizing the mix of supply-side, demand-side and environment-related policy tools; (4) establishing government-enterprise collaborative mechanisms to enhance implementation effectiveness.