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Dynamic Evaluation of Energy Carbon Efficiency in the Logistics Industry Based on Catastrophe Progression

Author

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  • Xiaohong Yin

    (School of Economics and Management, Liaoning University of Technology, Jinzhou 121000, China)

  • Yufei Wu

    (School of Economics and Management, Liaoning University of Technology, Jinzhou 121000, China)

  • Qiang Liu

    (School of Economics and Management, Liaoning University of Technology, Jinzhou 121000, China)

Abstract

The logistics industry has an irreplaceable role in promoting Chinese economic development, and its carbon emissions have become a hot topic of academic research. However, more research needs to be conducted on this. This study is based on establishing an evaluation index system for the efficiency of energy carbon emissions in the Chinese logistics industry. The catastrophe progression method was used to evaluate this statically. A dynamic evaluation model was also established based on the characteristics of fuzzy rewards and punishments. The results showed that the static values in the southeastern provinces of China were always between 0.9 and 1, and there was a significant increase in the dynamic values under the fuzzy reward and punishment scenario. Provinces in the southwest fluctuated between 0.8 and 0.95, while the dynamic values did not increase much. In the northern provinces, the static assessment values were consistently between 0.7 and 0.9, while the dynamic values were decreasing. It is therefore important to reward provinces with high static assessment values and penalize those with low static assessment values. The perspective of the characteristics of fuzzy rewards and punishments is also essential for fair and equitable management, reward and punishment in the different provinces in the study.

Suggested Citation

  • Xiaohong Yin & Yufei Wu & Qiang Liu, 2023. "Dynamic Evaluation of Energy Carbon Efficiency in the Logistics Industry Based on Catastrophe Progression," Sustainability, MDPI, vol. 15(6), pages 1-17, March.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:6:p:5574-:d:1104104
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    References listed on IDEAS

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    1. Dong-hyun Oh, 2010. "A global Malmquist-Luenberger productivity index," Journal of Productivity Analysis, Springer, vol. 34(3), pages 183-197, December.
    2. Syed Abdul Rehman Khan & Danish Iqbal Godil & Zhang Yu & Farwa Abbas & Muhammad Asif Shamim, 2022. "Adoption of renewable energy sources, low‐carbon initiatives, and advanced logistical infrastructure—an step toward integrated global progress," Sustainable Development, John Wiley & Sons, Ltd., vol. 30(1), pages 275-288, February.
    3. Wanke, Peter Fernandes & Chiappetta Jabbour, Charbel José & Moreira Antunes, Jorge Junio & Lopes de Sousa Jabbour, Ana Beatriz & Roubaud, David & Sobreiro, Vinicius Amorim & Santibanez Gonzalez‬, Erne, 2021. "An original information entropy-based quantitative evaluation model for low-carbon operations in an emerging market," International Journal of Production Economics, Elsevier, vol. 234(C).
    4. Md. Anisul Islam & Yuvraj Gajpal, 2021. "Optimization of Conventional and Green Vehicles Composition under Carbon Emission Cap," Sustainability, MDPI, vol. 13(12), pages 1-20, June.
    5. Xiao-qing Lei & Jia-jia Yang & Jian-bo Zou & Mei-er Zhuang, 2020. "Research on the Impact of Logistics Technology Progress on Employment Structure Based on DEA-Malmquist Method," Mathematical Problems in Engineering, Hindawi, vol. 2020, pages 1-10, September.
    6. Sufyanullah, Khan & Ahmad, Khan Arshad & Sufyan Ali, Muhammad Abu, 2022. "Does emission of carbon dioxide is impacted by urbanization? An empirical study of urbanization, energy consumption, economic growth and carbon emissions - Using ARDL bound testing approach," Energy Policy, Elsevier, vol. 164(C).
    7. Ragosebo Kgaugelo Modise & Khumbulani Mpofu & Olukorede Tijani Adenuga, 2021. "Energy and Carbon Emission Efficiency Prediction: Applications in Future Transport Manufacturing," Energies, MDPI, vol. 14(24), pages 1-15, December.
    8. Lin, Boqiang & Sai, Rockson, 2022. "Towards low carbon economy: Performance of electricity generation and emission reduction potential in Africa," Energy, Elsevier, vol. 251(C).
    9. Ana Beatriz Lopes de Sousa Jabbour & Charbel Jose Chiappetta Jabbour & Joseph Sarkis & Hengky Latan & David Roubaud & Moacir Godinho Filho & Maciel Queiroz, 2021. "Fostering low-carbon production and logistics systems: framework and empirical evidence," International Journal of Production Research, Taylor & Francis Journals, vol. 59(23), pages 7106-7125, December.
    10. Harald Winkler, 2020. "Putting equity into practice in the global stocktake under the Paris Agreement," Climate Policy, Taylor & Francis Journals, vol. 20(1), pages 124-132, January.
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