Based on a comprehensive evaluation index system for regional economic resilience and port logistics development, this study employs multiple methodologies including coupling coordination degree model, kernel density estimation, gravity center model, spatial autocorrelation model, and geographic detector model to explore the spatial–temporal evolution patterns and driving factors of coupling coordination between regional economic resilience and port logistics in the Guangxi Beibu Gulf Economic Zone from 2012 to 2022. The results indicate that: (1) The coupling coordination degree between the two systems showed an upward trend during the study period, although with stage-specific bipolar differentiation that weakened in the later stages. (2) The spatial distribution pattern of coupling coordination evolved from a “single-core” driven by Nanning to a “dual-core” led by Nanning and Yulin, forming a distinct concentric layer structure; the gravity center of coupling coordination exhibited a “southeast–northwest” dynamic migration pattern. (3) Spatial autocorrelation analysis revealed significant positive spatial dependence of coupling coordination within the study area, with spatial agglomeration values showing a “core–transition–depression” differentiation pattern. (4) Information technology level emerged as the dominant driving factor, forming a “technology–finance–infrastructure” ternary collaborative driving model with financial development level and logistics infrastructure level, which became the main force promoting the coordinated development of the coupled systems.

Green logistics has become an important pathway for promoting sustainable port development under the dual pressures of carbon reduction and maritime economic transformation. However, existing studies mainly focus on mature ports in developed coastal regions, while research on emerging ports remains limited. In addition, traditional efficiency evaluations often neglect undesirable outputs and the dynamic evolution of productivity. To address these gaps, this study evaluates the green logistics efficiency of the Beibu Gulf Port (Qinzhou, Fangchenggang, and Beihai) during 2014–2023 using a Super-SBM–GML model that incorporates undesirable outputs and dynamic productivity analysis. The results show that the overall green logistics efficiency of the Beibu Gulf Port exhibits a gradual upward trend, although the efficiency level remains below the optimal frontier. Significant spatial heterogeneity exists among the three ports, with Qinzhou Port demonstrating the highest static efficiency, while Fangchenggang Port shows relatively stronger dynamic productivity growth. Furthermore, improvements in green total factor productivity are mainly driven by efficiency catch-up effects rather than substantial technological progress, indicating that green technological innovation remains a key constraint on sustainable port transformation. This study extends green logistics efficiency research from mature ports to emerging port clusters within the context of the Belt and Road Initiative (BRI) and the New International Land–Sea Trade Corridor (ILSTC). The study further proposes an “Anchor–Corridor–Network” framework to explain how technological upgrading, institutional coordination, and regional integration jointly drive the green transition of emerging ports. The findings provide practical implications for promoting low-carbon port transformation, regional logistics integration, and sustainable maritime governance in developing economies.

This study aims to investigate the distribution characteristics of China's agricultural industry and its logistics network design. The study is based on the theory and method of hub-and-spoke logistics network design, takes the logistics of agricultural products in China as the research area, and focuses on the fresh fruit industry. The specific case study took the fruit industry in Guangxi Province as an object and analyzed the overall spatial distribution from 2014 to 2022. By considering the factors of economic development, logistics development and fruit industry development, 11 indicators were selected to construct a comprehensive evaluation index system of logistics-level node cities within the logistics network. This index system aims to provide a holistic assessment of the logistics capabilities of these cities. The hub cities and spoke cities of the fresh fruit industry logistics network were determined by cluster analysis based on factor analysis. The cities are identified using the gravitational model and the logistics affiliation degree. As a result, a hub-and-spoke logistics network for the fresh fruit industry is centered on Nanning, Liuzhou and Guilin, which are designated as the key hub cities. Yulin, Qinzhou, Guigang and Baise are the secondary spoke nodes, while Beihai, Wuzhou, Chongzuo, Fangchenggang, Hezhou, Laibin and Hechi are the tertiary and quaternary spoke nodes. In order to better develop the fresh fruit industry in Guangxi, proposals are made to guide the layout of the fruit industry, improve the logistics infrastructure in the node cities, and ensure the quality of fruit transportation.