Measurement and Influencing Factors of Green Logistics Efficiency in the Yangtze River Delta Region

Can Guo

doi:10.63313/EBM.9187

Authors

Can Guo School of Economics and Management, Southwest Petroleum University, Chengdu, 610500, China Author

DOI:

https://doi.org/10.63313/EBM.9187

Keywords:

Green Logistics Efficiency, Super-SBM Model, GML Index, Yangtze River Delta, Influencing Factors

Abstract

Under the dual-carbon target and regional integration strategy, green logistics has become a core path for high-quality development of the logistics industry. This paper takes the Yangtze River Delta (Shanghai, Jiangsu, Zhejiang) as the research object, and constructs an input-output index system including capital, labor, energy, expected outputs and undesirable outputs (CO₂ emissions). The Super-SBM model with undesirable outputs and the Global Malmquist-Luenberger (GML) index are used to measure static and dynamic green logistics efficiency from 2006 to 2023. Furthermore, a fixed-effects model and fuzzy-set qualitative comparative analysis (fsQCA) are adopted to explore influencing factors. The results show that: 1) The overall green logistics efficiency of the region is on the rise with obvious inter-provincial differences, and Shanghai ranks first; 2) Technological progress is the main driving force for efficiency growth; 3) Economic development, logistics scale and environmental governance positively affect efficiency, while energy intensity has a negative impact. Finally, targeted strategies are proposed from the perspectives of resource allocation, energy structure and policy coordination.

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