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Measurement of CO 2 Emissions Efficiency and Analysis of Influencing Factors of the Logistics Industry in Nine Coastal Provinces of China

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  • Hanxin Wang

    (School of Management, Hebei GEO University, Shijiazhuang 050031, China
    Strategy and Management Base of Mineral Resources in Hebei Province, Hebei GEO University, Shijiazhuang 050031, China)

  • Weiqian Liu

    (School of Management, Hebei GEO University, Shijiazhuang 050031, China)

  • Yi Liang

    (School of Management, Hebei GEO University, Shijiazhuang 050031, China
    Strategy and Management Base of Mineral Resources in Hebei Province, Hebei GEO University, Shijiazhuang 050031, China)

Abstract

The surge in CO 2 emissions affects global climate change and the development of society. The logistics industry, being a swiftly advancing industry, demonstrates an escalating trend in CO 2 emissions. Therefore, this paper selects the more developed coastal provinces (districts) in China’s logistics industry and takes 2011–2020 as the research period. Using the Super-SBM model and the Malmquist index model, the article analyzes the changes in the carbon emission efficiency of the logistics industry from the static and dynamic perspectives and then explores the factors affecting it using the panel model and the mediating effect model. Findings from research indicate that: (1) The CO 2 emission efficiency of the logistics industry is generally moderate when viewed from a static perspective. (2) Taking a dynamic viewpoint, there is a slight declining trend in the overall CO 2 emission efficiency. (3) As environmental regulations become more stringent, the CO 2 emission efficiency follows the “U”-shaped pattern, initially declining and then rising. Environmental regulations can influence CO 2 emission efficiency by affecting technological innovation. Additionally, energy efficiency plays a positive role in promoting CO 2 emission efficiency. Recommendations: Implement differentiated environmental regulations tailored to local conditions. Emphasize technological innovations. Enhance the energy efficiency.

Suggested Citation

  • Hanxin Wang & Weiqian Liu & Yi Liang, 2023. "Measurement of CO 2 Emissions Efficiency and Analysis of Influencing Factors of the Logistics Industry in Nine Coastal Provinces of China," Sustainability, MDPI, vol. 15(19), pages 1-21, October.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:19:p:14423-:d:1252351
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    References listed on IDEAS

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    1. Xiaohong Jiang & Jianxiao Ma & Huizhe Zhu & Xiucheng Guo & Zhaoguo Huang, 2020. "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," IJERPH, MDPI, vol. 17(22), pages 1-19, November.
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    1. Meiling He & Mei Yang & Xiaohui Wu & Jun Pu & Kazuhiro Izui, 2024. "Evaluating and Analyzing the Efficiency and Influencing Factors of Cold Chain Logistics in China’s Major Urban Agglomerations under Carbon Constraints," Sustainability, MDPI, vol. 16(5), pages 1-19, February.

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