Abstract:Using urban panel data from 2013 to 2019 and EBM super efficiency model,green innovation efficiency of 36 cities in the Yangtze River Economic Belt was measured.Also,the modified gravity model was introduced to construct the spatial correlation matrix of urban green innovation efficiency.Then,social network analysis theory was used to delve into the linked characters and formation mechanism of urban green innovation efficiency spatial network in the Yangtze River Economic Belt.The results show that: (1) During the study period, the spatial correlation intensity of green innovation efficiency in cities of the Yangtze River Economic belt is in a downward trend,and the hierarchical structure characteristics are relatively obvious; (2) Cites lower down the Yangtze River economic belt are at the relative center of the spatial network,while the upper and middle reaches are at a relative disadvantage; (3) Urban green innovation efficiency agglomeration plates of Yangtze River Economic Belt present the characteristics of groups of concentration and connection between different plates to some extent; (4) The difference in urban environmental protection and scientific research investment are conducive to the formation of the spatial network of green innovation efficiency in the Yangtze River Economic belt,while the difference in urban distance,openness and innovation level have a negative impact on it.