Abstract: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.