Evaluating the Carbon Emissions Efficiency of the Logistics Industry Based on a Super-SBM Model and the Malmquist Index from a Strong Transportation Strategy Perspective in China

International Journal of Environmental Research and Public Health
Xiaohong JiangZhaoguo Huang

Abstract

Carbon emissions from the logistics industry have been rising year after year. Correct handling of the relationship between economic development and environmental protection is of great significance to the implementation of green logistics, which is an important component of China's strategy for strong transportation. This paper focuses on the evaluation of the carbon emissions efficiency of logistics industry from a new strong transportation strategy perspective. A super-efficiency slack-based measurement (Super-SBM) model and Malmquist index are combined to evaluate the static and dynamic carbon emissions efficiency of the logistics industry. The results indicate that compared with the SBM model, the Super-SBM model can more effectively measure the carbon emissions efficiency of the logistics industry. Pilot regions for the strong transportation strategy were divided into two categories, namely regions with slow carbon emission growth rates but high efficiency, and regions with high carbon emission growth rates but low efficiency. Some policy recommendations from the strong transportation strategy perspective were proposed to improve the carbon emissions efficiency of the logistics industry, especially for the second category...Continue Reading

References

Nov 24, 2017·Nature Communications·Zhifu MiKlaus Hubacek
Jan 8, 2020·International Journal of Environmental Research and Public Health·Rui RenZhilong Chen
May 28, 2020·The Science of the Total Environment·Chunguang QuanXin Ye
Aug 23, 2020·International Journal of Environmental Research and Public Health·Wei YuXingchen Yan

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Citations

Jul 3, 2021·International Journal of Environmental Research and Public Health·Maren SchniederAndrew West
Aug 2, 2021·Environmental Science and Pollution Research International·Yifang Sun, Ninglian Wang
Aug 11, 2021·Environmental Science and Pollution Research International·Xiaopeng Guo, Dandan Wang

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Software Mentioned

SBM
Super

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