Abstract: With the rapid development of the world economy, it is urgent to promote the high-quality development of manufacturing industry by innovation. In order to make the innovation of manufacturing industry reach the best level, our government has issued a number of policies to encourage its development. Whether the existing policy setting is reasonable and the text content meets the actual needs is an important basis for the future release of relevant policies. This paper uses social network analysis and co-word analysis to analyze the content of 78 national innovation policy texts issued in 2012-2019. Based on this, it constructs a quantitative framework for the evaluation of innovation policy in manufacturing industry, selects representative policies as samples, and uses PMC-AE index model for quantitative evaluation. The results show that the scores of policy samples are high, which indicates that the quality of policies formulated by relevant policy issuing agencies is high, and the content of policy texts is reasonable and meets with the actual needs, but there are still some problems that need to be improved, including increasing the content of policy texts involving supervision and regulation, strengthening the combination of policy tools, expanding the coverage of policy participants, and improving the application of incentive measures and strengthen the breadth and depth of coordination between policy issuing agencies.

摘要： 世界经济的飞速发展使得以创新推动制造业高质量发展迫在眉睫，为使制造业的创新达到最佳水平，我国政府先后发布多项政策激励其发展，已有政策设定是否合理、文本内容是否符合现实需求是今后发布相关政策的重要依据。本文利用社会网络分析和共词分析等方法深入分析2012-2019年间国家发布的78项制造业创新政策文本的内容，以此为基础构建制造业创新政策评价的量化框架，选取具有代表性的政策为样本，利用PMC-AE指数模型进行量化评价。结果表明：政策样本得分均较高，说明相关政策颁布机构制定的政策质量较高，政策文本内容的设定较为合理且符合现实需求，但仍存在一些问题亟需完善，包括增加政策文本中涉及监管及规范的内容、加强政策工具的组合运用、扩大政策参与对象的覆盖范围、完善激励保障措施的运用及加强政策颁布机构之间协同的广度与深度。