This article constructs an input-output matrix of the “provincial-industry” dimension within the context of “Dual Circulation” by embedding IRIOT into WIOT, and designs an inter-industry economic correlation network with spillover and catch-up effects. Based on the theory of complex networks, the level of industrial centrality in 14 manufacturing industries in 30 provinces of China from 2001 to 2013 is measured. The relative index of per capita output growth rate is used to measure the pro-poor growth of the manufacturing industry. The impact of industrial centrality on pro-poor growth is thoroughly explored, and the different mechanisms of spillover effects and catch-up effects are further distinguished. The results indicate that: 1)The improvement of international industrial centrality is not conducive to the pro-poor growth of the manufacturing industry, and the spillover effect further amplifies this negative impact. 2)The centrality of domestic industries has a significant promoting effect on the pro-poor growth of manufacturing, but it is mainly based on catch-up effects rather than spillover effects. 3)The regional characteristics of the impact of international and domestic industrial centrality on the pro-poor growth of the manufacturing industry are as follows: The strongest in the western region, followed by the central region, and the weakest in the eastern region. The industrial characteristics are as follows: Technology-intensive industries have the largest impact, followed by labor-intensive, and capital-intensive industries have the smallest impact. This study has important practical significance and reference value for promoting pro-poor growth in China’s manufacturing industry.