Study on calculation and optimization path of energy utilization efficiency of provincial logistics industry in China

Chuang Li, Yunlong Wang, Zhiyuan Li and Liping Wang

Renewable Energy, 2025, vol. 243, issue C

Abstract: Improving the energy utilization efficiency of the logistics industry has become one of the important tasks in China's current economic transformation and development. First, based on the SBM-DEA model, this study measured the energy use efficiency of the logistics industry in 30 provinces and cities in China from 2014 to 2022 and studied the correlation between technical efficiency, pure technical efficiency, and scale efficiency through relevant thermal maps. Among them, the eastern provinces generally perform better in terms of technical efficiency, pure technical efficiency, and scale efficiency. Secondly, through K-means cluster analysis, the energy utilization of the logistics industry is divided into three types: high, medium, and low. Finally, the grey correlation GM (1,1) model is used to construct a scenario matrix to predict the energy utilization efficiency of the logistics industry in 2024–2030 and 2030–2060 years. The energy efficiency forecast results for 2025–2030 show different trends, with significant differences between regions, and the scenario forecast analysis for 2030–2060 shows that regional differences still exist. Based on the calculation and prediction of energy use efficiency, this paper puts forward the optimization path of energy use efficiency of the logistics industry from three aspects: government, logistics industry, and society.

Keywords: Logistics industry; Energy efficiency measurement; Energy efficiency prediction; K-means clustering; Optimized path (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:eee:renene:v:243:y:2025:i:c:s0960148125002563

DOI: 10.1016/j.renene.2025.122594

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