Li Chongyan, Wang Fuzhong
School of Economics and Management, Zhejiang University of Science and Technology, Hangzhou, 310023, China.
Sci Rep. 2025 Jul 1;15(1):21732. doi: 10.1038/s41598-025-05413-2.
In view of the rare research on energy intensity control in the logistics industry at home and abroad, this study constructs a research framework on the basis of analyzing the development status of energy intensity in the logistics industry, proposes the demand on management and control (M&C) and establishes the M&C mechanism, uses the mathematical model as the M&C tool, sets the corresponding parameters and implements the M&C decision on energy intensity in the logistics industry. The research shows that the energy intensity in China's logistics industry is still at a high level and needs to implement M&C. For the identified M&C objects, exponential model, difference model and linear model can be used to accurately control the energy intensity in the logistics industry, and decision maker can make decisions based on M&C. Finally, it is suggested that the Chinese government establish a decision-making service platform for energy intensity and carbon intensity control in the logistics industry, so as to promote the development of low-carbon logistics.