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

Xiaohong Yin, Yufei Wu () and Qiang Liu
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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

Sustainability, 2023, vol. 15, issue 6, 1-17

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.

Keywords: dynamic evaluation; energy carbon efficiency; logistics industry; catastrophe progression; fuzzy incentives and punishments (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
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