Keywords
Logistics efficiency
DEA-BCC model
Tobit regression
Submitted : 2025-11-15
Accepted : 2025-11-30
Published : 2025-12-15
Abstract
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.
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