Sustainability has been widely recognized as a pervasive phenomenon that underlies the operations and performance of businesses. Recent research has examined the effect of green logistics management on the sustainability performance of businesses. However, we contend that the relationship between green logistics management and the sustainability performance of firms is not direct but mediated through circular economy practices. We analyze the direct and indirect effects of green logistics management on business sustainability performance via circular economy practices, using the natural resource-based view and resource dependence theory as our theoretical underpinnings. This study also assesses the moderating effect of supply chain traceability on the associations. Drawing upon the empirical data from 211 Bangladeshi manufacturing SMEs, we performed the PLS-SEM technique to assess the hypotheses. The findings show that green logistics management positively affects organizations’ circular economy practices and sustainability performance. Furthermore, supply chain traceability strongly affects SMEs’ circular economy practice but fails to moderate the linkage between green logistics and sustainability performance. Finally, circular economy practice mediates the linkage between SMEs’ green logistics management and sustainability performance. We also conducted the Sobel test to validate the mediation. Our findings advance the natural resource-based view and resource dependence theory while improving the understanding of green logistics management, circular economy practices, and sustainability performance. Given the dearth of literature assessing the complex interactions among these variables, our findings have pivotal implications.

Based on panel data from 30 Chinese provinces (2008–2022), this study employs fixed-effects, spatial econometric, and moderation effect models to analyze how logistics transport structure adjustment affects carbon emissions. The findings reveal that: (1) Carbon emissions from the logistics industry show a fluctuating upward trend, with a spatial pattern of “higher in the south and lower in the north”; economically developed provinces and major transportation hubs exhibit higher emission levels. (2) The increasing share of railway transport has a more pronounced effect on carbon reduction in provinces with higher industrialization levels. (3) Transport restructuring generates negative spatial spillover effects whereas railway substitution reduces emissions both locally and in neighboring regions, though with regional heterogeneity: most effective in eastern China, weaker in western China, and insignificant in central China. These findings support developing differentiated, regionally coordinated low-carbon logistics policies.

Purpose: One of the best ways to assist China is through infrastructure investment. China might become more resilient to natural calamities by pouring more money into its transport network. Analyzing the relationship between China's degree of planned expansion and the country's current network of transport hubs can help with city development estimates. A wide range of factors were taken into consideration while evaluating China's dominance and the caliber of its transportation infrastructure. Using a geographical autocorrelation model and a coupling coordination model, the dynamic link between China's adaptability and the caliber of its transportation infrastructure is examined.Design/methodology/approach: China's northwest is underdeveloped in comparison to the southeast, which has a high level of resilience and development of its transportation infrastructure. The relationship between the levels of resilience upheld by China's transport infrastructure is suggested to be coordinated.Findings: The authors find a positive geographical autocorrelation between the degree of coupling coordination and the degree of agglomeration, despite the fact that the distance between cities increases with time. They now believe that there is a connection between an area's population density and the degree of interspousal cooperation within. The consequence is an improvement in both national security and economic prosperity. The facilities for disaster management and transportation in China have received several proposals for improvement.Practical implications: The authors' Practical Implications suggests that scale inefficiency is a major contributor to the relatively poor efficiency of China's primary inland river ports. Different types of inland river ports may have vastly different water system efficiencies. Input and output congestion at China's important interior river ports has reached 51%, making it very clear that massive amounts of valuable port resources are being wasted.Originality/value: Many variables, such as climate and human error, affect the total amount of goods that can be moved via inner river ports. Ports situated either higher up or lower down the same canal may perform better or worse, respectively, depending on the circumstances.