Abstract: Green growth efficiency is an important evaluation index to accurately judge and evaluate the performance of green transition. The article measured the green growth efficiency values of 26 cities in the Yangtze River Delta Urban Agglomerations from 2006 to 2021, by using the global Super-SBM-Undesirable model. The coefficient of variation, entropy value method, three-dimensional Kernel density and center of gravity model were adopted to analyze the spatial-temporal evolution characteristics and the center of gravity migration process. The BP neural network model was used to predict the future trend of green growth efficiency in 2022-2027. The results showed that: (1) During the study period, there was a significant increase in green growth efficiency across all cities in the study area. The overall green growth efficiency showed an overall upward trend year by year. There was a polarization phenomenon in the efficiency between cities and provinces, but the overall difference was gradually decreasing. The number of cities in the high green growth efficiency zones increased and the distribution became gradually dense. (2)Each city's efficiency value exhibited a noticeable upgrading trend. Spatially, high-efficiency areas of green growth demonstrated enhanced agglomeration patterns. This was observed as discrete distribution shifting from both eastern and western ends towards inward and peripheral regions, which ultimately formed multiple extensive zones characterized by high levels of green growth efficiency. (3) The center of gravity of green growth efficiency was roughly distributed in the central cities, and the efficiency difference between the eastern and western cities was larger than that between the southern and northern cities. The polarization of green growth efficiency between cities gradually weakened, and the migration distance of the center of green growth efficiency also decreased. (4) The forecast results showed that the Yangtze River Delta Urban Agglomerations would maintain a good level of green growth in the next six years. There existed room for improvement with a small annual growth rate. Finally, based on the regional characteristics of green growth efficiency, relevant suggestions were put forward to improve the green growth efficiency of the Yangtze River Delta Urban Agglomerations.