Based on the panel data of 11 provinces and municipalities in the Yangtze River Economic Belt from 2013 to 2022, this paper employs a comprehensive methodology including the super-efficiency SBM model, entropy weight method, coupling coordination model, and kernel density estimation to assess the level of coordinated development between the digital economy and green logistics efficiency, analyze its dynamic evolution trend, and investigate the driving factors using a geographical detector model. The findings reveal three main insights. First, despite an overall upward trend in green logistics efficiency, significant disparities persist among its provinces and municipalities. Second, the coupling coordination between the digital economy and green logistics is improving across the Yangtze River Economic Belt and its three segments, despite notable polarization in the midstream region. Finally, urbanization level is the primary driving factor, with interactions between any two factors demonstrating a mutually enhancing effect. Therefore, it is suggested to narrow the regional disparities in green logistics efficiency, prioritize the development of digital economy, promote the urbanization level, and adjust the industrial structure, thereby fostering the coordinated development of digital economy and green logistics efficiency in the Yangtze River Economic Belt.