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Regional Sustainability of Logistics Efficiency in China along the Belt and Road Initiative Considering Carbon Emissions

Author

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  • Chong Ye

    (School of Economics and Management, Fuzhou University, Fuzhou 350108, China)

  • Nuo Chen

    (School of Economics and Management, Fuzhou University, Fuzhou 350108, China)

  • Shuangyu Weng

    (School of Management, Xiamen University, Xiamen 361005, China)

  • Zeyu Xu

    (School of Finance and Business, Shanghai Normal University, Shanghai 200234, China)

Abstract

The Belt and Road Initiative puts higher requirements for the logistics industry. As one of the most energy-consuming industries, logistics is a high-carbon emission industry. Its impact on the environment cannot be ignored. In this context, how to respond to the “Belt and Road” under the concept of sustainable development, to promote the logistics industry to achieve “low consumption, low emissions, high efficiency” of regional sustainability, has become the most important development of China’s logistics industry. Therefore, based on previous research, this paper establishes an input–output index system and uses the SBM-DEA model and Malmquist index model to analyze the efficiency of low-carbon logistics in 17 provinces from 2006 to 2020, explore the overall level of the logistics and the factors affecting efficiency, and compare the efficiency in different periods and regions. Then, through the Tobit regression model, the four main factors affecting the efficiency of the logistics industry are analyzed. The results show that: (1) The highest value of low-carbon logistics efficiency of each province is 1.0000, and the lowest value is only 0.0944. The difference in logistics efficiency values among provinces is large, so there is great room for improvement and development potential. (2) From 2006 to 2020, the low-carbon logistics efficiency of the regions showed an overall upward trend, and the MI index values of each province reached or approached the DEA effective state. Among them, technological progress has a promoting effect, while scale and pure technical efficiency have hindered the efficiency growth. (3) Economic growth and industry structure have a positive effect, while energy consumption and government expenditure are negatively correlated with efficiency.

Suggested Citation

  • Chong Ye & Nuo Chen & Shuangyu Weng & Zeyu Xu, 2022. "Regional Sustainability of Logistics Efficiency in China along the Belt and Road Initiative Considering Carbon Emissions," Sustainability, MDPI, vol. 14(15), pages 1-31, August.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:15:p:9506-:d:879021
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    References listed on IDEAS

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    2. Wen Qin & Xiaolie Qi, 2022. "Evaluation of Green Logistics Efficiency in Northwest China," Sustainability, MDPI, vol. 14(11), pages 1-14, June.
    3. Wenhui Zhao & Ye Qiu & Wei Lu & Puyu Yuan, 2022. "Input–Output Efficiency of Chinese Power Generation Enterprises and Its Improvement Direction-Based on Three-Stage DEA Model," Sustainability, MDPI, vol. 14(12), pages 1-14, June.
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    5. Põldaru, Reet & Roots, Jüri, 2014. "A PCA–DEA approach to measure the quality of life in Estonian counties," Socio-Economic Planning Sciences, Elsevier, vol. 48(1), pages 65-73.
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    Cited by:

    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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