Abstract: Under the goal of promoting the high-end, intelligent and green manufacturing industry, the sharing quality of environmental data elements is described from the dimensions of sharing scale, timeliness and methods. The impact of such sharing on the collaborative innovation of digital green manufacturing industry is tested by using multiple methods such as Difference-in-Differences and machine learning. It is concluded that the collaborative innovation of digital green manufacturing industry and its “flywheel effect” have a positive response to the sharing of environmental data elements, the optimization of sharing methods, the expansion of sharing scale and the enhancement of sharing timeliness; enhancing the integration of heterogeneous resources, cross-border knowledge absorption and dual risk prevention and control ability of innovation subjects are the internal transmission mechanism; the collaborative innovation effect of large-scale and visual sharing of environmental data elements depends on digital transformation and human capital cultivation. Under the high environmental evaluation standard, promoting the collaborative innovation of digital and green manufacturing should tap the time value of environmental data elements sharing; further discussion proves that the sharing of environmental data elements performs well in the collaborative promotion of carbon reduction, pollution reduction, green expansion and growth, and can stimulate the collaborative innovation effect of green credit, green factory certification and intelligent manufacturing. The above conclusions respond to the relevant instructions of the CPC Central Committee on improving the construction of environmental supervision system and promoting the comprehensive green transformation of economy and society.

Key words: data element sharing, digital innovation, green innovation, innovative development of the manufacturing industry