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Spatial and temporal evolution of green logistics efficiency in China and analysis of its motivation

Author

Listed:
  • Bin Chen

    (Fujian Jiangxia University)

  • Fang Liu

    (Fuzhou University)

  • Yina Gao

    (Fujian Jiangxia University)

  • Chong Ye

    (Fuzhou University)

Abstract

The serious consequences of climate warming have increasingly become a globe agenda in recent decades. China has been actively participating in various initiatives to address global climate change and has made commitments to reduce carbon emissions. Although the logistics industry is regarded as the "new driving force of national economic development", its carbon intensity is relatively high. Therefore, whether the logistics industry can develop in a green and low-carbon way is very crucial. This paper takes the green logistics efficiency of China's provincial logistics industry as the research object. The Super-SBM model is used to measure the China's green logistics efficiency, then the general dynamic characteristics is depicted by kernel density analysis. With the GML (Global Malmquist-Luenberger) index model, the reasons for the changes in green logistics efficiency are explained. Finally, Moran's I index is used to analyze the spatial correlation of green logistics efficiency in each province. The results show that the green logistics efficiency in China is at a low level, but with an upward trend. China's green logistics efficiency has a significant positive spatial correlation, showing a zonal pattern of high in the east and low in the west, and a polarization phenomenon. In addition, the bottleneck of the overall development of green logistics efficiency in China depends on the level of green technology. Furthermore, the results also imply that green technology advancement is an inherent key factor for green logistics efficiency to achieve growth.

Suggested Citation

  • Bin Chen & Fang Liu & Yina Gao & Chong Ye, 2024. "Spatial and temporal evolution of green logistics efficiency in China and analysis of its motivation," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 26(2), pages 2743-2774, February.
    • Handle: RePEc:spr:endesu:v:26:y:2024:i:2:d:10.1007_s10668-022-02833-2
    DOI: 10.1007/s10668-022-02833-2
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    References listed on IDEAS

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    1. Hao Zhang & Jianxin You & Xuekelaiti Haiyirete & Tianyu Zhang, 2020. "Measuring Logistics Efficiency in China Considering Technology Heterogeneity and Carbon Emission through a Meta-Frontier Model," Sustainability, MDPI, vol. 12(19), pages 1-18, October.
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    6. Weihua Gan & Wenpei Yao & Shuying Huang, 2022. "Evaluation of Green Logistics Efficiency in Jiangxi Province Based on Three-Stage DEA from the Perspective of High-Quality Development," Sustainability, MDPI, vol. 14(2), pages 1-19, January.
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    Cited by:

    1. Lianjie Tang & Yabin Zhao & Xiaojie Zheng & Shiang Ma, 2025. "Pathways to Improve Energy Conservation and Emission Reduction Efficiency During the Low-Carbon Transformation of the Logistics Industry," Sustainability, MDPI, vol. 17(10), pages 1-20, May.

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