Environmental impacts and energy transition in Chinese logistics: An N-Spheres multi-criteria decision-making

IF 13.6 2区经济学 Q1 ECONOMICS

Energy Economics Pub Date : 2025-06-13 DOI:10.1016/j.eneco.2025.108668

Yong Tan , Zhongfei Chen , Jorge Antunes , Peter Wanke

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引用次数: 0

Abstract

This paper presents the N-Spheres geometrical concept as a novel Multi-Criteria Decision-Making (MCDM) model to evaluate environmental impacts and energy transitions in logistics transportation across Chinese provinces. By incorporating data such as truck quantities, logistics network mileage, fixed asset investments, and energy consumption, the study creates an n-dimensional framework to assess logistics systems' energy efficiency and CO2 emissions. The adapted N-Spheres model, originally from theoretical mathematics and computer science, is applied to analyze trade-offs, criterion elasticity, and contributions to overall performance, linking economic activities to environmental impacts. The findings reveal significant regional disparities in Environmental, Energy, and Transport Logistics (EETL) performance, with coastal regions typically outperforming inland areas. Higher freight transport volumes and logistics network mileage enhance performance, while CO2 emissions and energy consumption highlight the need for improved environmental management. Overall, the results indicate a trend towards better logistics performance over time.

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中国物流环境影响与能源转型：N-Spheres多准则决策

本文提出了N-Spheres几何概念作为一种新的多准则决策（MCDM）模型来评估中国各省物流运输的环境影响和能源转换。通过整合卡车数量、物流网络里程、固定资产投资和能源消耗等数据，该研究创建了一个n维框架来评估物流系统的能源效率和二氧化碳排放。改编的N-Spheres模型最初来自理论数学和计算机科学，用于分析权衡、标准弹性和对整体绩效的贡献，将经济活动与环境影响联系起来。研究结果显示，在环境、能源和运输物流（EETL）绩效方面存在显著的地区差异，沿海地区的表现通常优于内陆地区。货运量和物流网络里程的增加提高了绩效，而二氧化碳排放和能源消耗则凸显了改善环境管理的必要性。总体而言，研究结果表明，随着时间的推移，物流绩效有改善的趋势。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Energy Economics ECONOMICS-

CiteScore

18.60

自引率

12.50%

发文量

524

期刊介绍： Energy Economics is a field journal that focuses on energy economics and energy finance. It covers various themes including the exploitation, conversion, and use of energy, markets for energy commodities and derivatives, regulation and taxation, forecasting, environment and climate, international trade, development, and monetary policy. The journal welcomes contributions that utilize diverse methods such as experiments, surveys, econometrics, decomposition, simulation models, equilibrium models, optimization models, and analytical models. It publishes a combination of papers employing different methods to explore a wide range of topics. The journal's replication policy encourages the submission of replication studies, wherein researchers reproduce and extend the key results of original studies while explaining any differences. Energy Economics is indexed and abstracted in several databases including Environmental Abstracts, Fuel and Energy Abstracts, Social Sciences Citation Index, GEOBASE, Social & Behavioral Sciences, Journal of Economic Literature, INSPEC, and more.