制造业数字化转型是建设制造强国的必由之路,已成为当前各地推进的一项战略任务。基于我国部分省、市出台的24项制造业数字化转型政策,采用文本挖掘、共词分析及聚类分析方法,构建了政府支持制造业数字化转型模式的分析框架,并据此建立了由5个一级指标、55个二级指标构成的PMC指数模型,对6省出台的政策进行了量化评价。研究发现：(1)各省推进制造业数字化转型的逻辑呈现内在一致性,只是具体支持方式存在一定差异；(2)各省政策总体较为合理,指数得分排名与经济发展水平相关度较高,东部省份的政策无论从数量还是质量上均优于中部和西部；(3)6项政策在转型依托和实现功能两个方面表现优异,说明各省在这两方面的认识高度统一；但在转型路径、支撑保障以及政策工具3方面表现各异,体现了不同省份转型模式的差异；(4)凹陷指数为各省政策的改进提供了方向及路径。最后,提出政府支持制造业数字化转型的政策启示,并对未来研究方向进行了展望。

Digital transformation of manufacturing industry is a necessary way to build a strong manufacturing country, and has become a strategic task to be promoted around the world at present. Based on 24 manufacturing digital transformation policies introduced by some provinces and municipalities in China, an analytical framework of government support for manufacturing digital transformation patterns was constructed using text mining, co-word analysis and cluster analysis methods, and a PMC index model consisting of 5 primary indicators and 55 secondary indicators was established accordingly to quantitatively evaluate the policies introduced by 6 provinces. It is found that (1) the logic of promoting digital transformation of manufacturing industry in each province shows internal consistency, only that there are some differences in specific support methods; (2) the policies of each province are generally more reasonable, the index score ranking is highly correlated with the level of economic development, and the policies of eastern provinces are better than those of central and western provinces in terms of both quantity and quality; (3) the six policies perform well in two aspects of transformation dependence and function realization, indicating that the provinces have a highly unified understanding in these two aspects, however, they perform differently in three aspects of transformation path, support and guarantee, and policy tools, reflecting the differences in transformation modes of different provinces; (4) the depression index provides directions and paths for the improvement of policies in each province. Finally, the policy insights of government support for digital transformation of manufacturing industry are proposed, and the future research directions are foreseen.

C939

国家社科基金“延展认知的合理性及其实践转向(20FZXB064)”；山东省重点研发计划（软科学项目）“在鲁国家战略科技力量为主导的协同创新机制研究”（2023RZA04029)；山东省重点研发计划（软科学项目）“元宇宙视角下山东产业前瞻布局与技术预测研究”（2022RZB02011)