Abstract:

The Fourth Plenary Session of the 20th Central Committee of the Communist Party of China explicitly proposed to "optimize and upgrade traditional industries" and "promote the digital and intelligent transformation of the manufacturing sector." This paper examines the theoretical logic and practical models of how digital and intelligent transformation drives the optimization and upgrading of traditional industries. The research finds that digital and intelligent transformation brings about a dual transformation in the mode of production of traditional industries: the intellectualization of the labor process and the networking of industrial organization. This transformation comes into conflict with existing relations of production in property rights and distribution, thus necessitating the establishment of new relations of production centered on the definition of data property rights and platform governance norms. Only after adaptive adjustments in relations of production can traditional industries fully unleash the potential of digital and intelligent transformation, ultimately achieving comprehensive optimization and upgrading in production efficiency, organizational forms, and value creation. Building on this analysis, the paper proposes four practical models for optimizing and upgrading traditional industries: intelligent production, servitization extension, ecological collaboration, and governance structure innovation.

Key words: digital and intelligent transformation, traditional industries, optimization and upgrading, new relations of production