Abstract: Enhancing the level of autonomy and control of the manufacturing supply chain is an inevitable requirement for the construction of a modernized industrial system in China. From the perspective of intermediate goods, this paper adopts the trade network analysis method to measure the level of autonomy and control of the manufacturing supply chain in China from the two dimensions of autonomy and security controllability on the basis of clarifying the connotation of autonomy and controllability. Researches have found that, from a holistic perspective, industries with low to high levels of supply chain autonomy are labor-intensive, technology intensive, and capital intensive industries. In terms of safety and controllability, capital intensive industries are higher than labor-intensive industries, while technology intensive industries have the lowest level. The heterogeneity of the four-digit code industry segments shows that the level of autonomy and security control in China’s high-technology-intensive industries shows a“double-low”characteristic and a declining trend, among them, the new generation of information technology and aerospace equipment industry is particularly evident, while the level of autonomy and security control in most other industries has a divergence, and the evolutionary characteristics have a convergence. From a product perspective, although the autonomy and safety controllability of most intermediate products have been improved, the increase in the autonomy of high-risk products is accompanied by a decrease in safety controllability; the number of high-risk product categories in key industries is showing a downward trend. To this end, strengthening the construction of supply chain warning and response mechanisms, breaking through the bottleneck of key core technologies through technological innovation, and building a diversified trade network are important ways to enhance the independent and controllable level of the supply chain.

Key words: manufacturing industry, supply chain, trade network analysis, autonomy, security controllability