Facing the regional imbalance of manufacturing quality development, this paper uses Bayesian imputation method to measure the quality improvement rate of 30 provinces from 2000 to 2018. On this basis, this paper constructs the VAR models, identifying the spatial spillover relationship of provincial quality improvement through Granger test. Then we could reveal the network structure characteristics and spillover effect under the framework of social network analysis. The results show that the characteristics of the whole network structure display that the quality improvement correlation network is interactive and overall development. We find that the network structure is stable and the circulation is good, but the degree of closeness is not high. And local centralization exists in the network. The characteristics of network nodes show that the provinces of Guizhou, Jiangsu and Zhejiang, and Inner Mongolia Autonomous Region, have strong quality integration and external radiation. More importantly, they play the dual roles of central actors and intermediary bridges. Block model analysis shows that quality improvement correlation network can be divided into four functional blocks. The first and third are belonged to “agent plate”, the second is “bidirectional spillover plate” and the fourth is “main beneficial plate”.The quality improvement shows the trend of high in the East, low in the West and stable in the middle. The transmission mechanism of quality improvement has linkage characteristics. The eastern region is the power source of quality improvement, which forms a positive interaction with the western and northern regions and plays a leading role.
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