Volume 9,Issue 8
This study examines 11 cities in the Guangdong-Hong Kong-Macao Greater Bay Area, focusing on regional logistics efficiency disparities and their driving mechanisms. Using 2023 statistical data, the DEA-BCC model was applied to measure logistics efficiency across three dimensions: technical efficiency, scale efficiency, and comprehensive efficiency. Empirical analysis through the Tobit regression model revealed the influence of key factors, including openness and economic development levels. These conclusions provide a scientific basis for optimizing logistics resource allocation and enhancing efficiency in the Greater Bay Area.