Abstract: Improving the efficiency of urban green innovation is a key measure for the Yangtze River Delta region to move towards higher quality integration and achieve the "carbon peaking and carbon neutrality goals". The spatial pattern and driving mechanism of green innovation efficiency have attracted the attention of economic geography scholars. However, current research on this topic rarely considered the driving role of green innovation network. This paper constructed an analytical framework for the impact of innovation network on regional green innovation, and calculated the green innovation efficiency of various cities in the Yangtze River Delta from 2007 to 2017 using the window DEA analysis method based on the super efficiency SBM model. This work also depicted their spatial and temporal patterns, and discussed the impact of urban green innovation network status on their green innovation efficiency. The research found that: (1)The green innovation efficiency of cities in the Yangtze River Delta showed a fluctuating upward trend in the time series. (2)The spatial pattern of green innovation efficiency in the cities of the Yangtze River Delta had undergone an evolution from "high in the southeast and low in the northwest" in 2007 to "high in the east and low in the west" in 2012, and then to "high in the northeast and low in the northwest" in 2017. There was a positive correlation with the centrality of the green innovation network. (3)Overall, the improvement of the status of cities in the green innovation network improved the efficiency of green innovation in cities, but the regression coefficient was small. The green innovation network in the Yangtze River Delta region still needs further improvement.