Abstract: In this paper, the SBM model considering undesirable output is used to calculate the green innovation efficiency of high-tech industries in 30 provinces and autonomous regions (except Tibet ) in mainland China. Social network analysis and a spatial econometric model discuss the spatial correlation structure and influencing factors. The results show that: （1)The density of green innovation-related networks in the high-tech industry is significantly improved, but the evolution type is mainly low-level network, and the overall network structure is still in the initial stage. （2)Under different thresholds, the centrality of the green innovation correlation network of high-tech industries is significantly improved, but the spatial disequilibrium characteristics still exist and are more prominent under the fourth-level network threshold.（3)Governmental science and technology finance and informatization have a significant role in promoting green innovation efficiency. Industrial accumulation will lead to negative spatial spillover in promoting green innovation efficiency. The impact of environmental regulation is not apparent, and the level of opening up hinders the improvement of green innovation efficiency. We should continue to stabilize the leading position of Beijing-Tianjin-Hebei and Yangtze River Delta in green innovation of high-tech industries, improve regional integration, increase government investment in science and technology finance, improve the level of informatization, and promote the positive spatial spillover of green innovation.