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作 者:杨芳 戴恩勇 吴堪 YANG Fang;DAI Enyong;WU Kan(School of Economics&Management,Changsha University,Changsha 410022,China)
机构地区:[1]长沙学院经济与管理学院,湖南长沙410022
出 处:《物流技术》2024年第9期36-43,共8页Logistics Technology
基 金:湖南省社会科学成果评审委员会课题(XSP2023JJC011);湖南省教育厅研究重点项目(21A0547)。
摘 要:在全球“双碳”目标的推动下,湖南省作为碳减排的重要实践区域,其物流业的绿色转型对实现碳减排目标具有至关重要的作用。深入分析了物流业“高碳”排放的现状,并运用LMDI分解法,重点研究了影响物流业碳排放的各因素及其影响效应与程度。在此基础上,探讨了优化能源结构、提升能源利用效率、优化行业结构、调整经济发展模式、控制人口规模效应等构建湖南物流业绿色协同发展路径的策略,旨在为碳减排实践提供有效的建议和指导。Under the 14th Five-Year Plan for National Development,achieving"carbon peak"and"carbon neutrality"has become a common pursuit across all industries in China.As the bridge connecting production and consumption,regional logistics plays a crucial role in supporting the sustained growth of regional economy.At the same time,being also a major contributor of carbon emissions,under the guidance of the dual carbon goals and the concept of green development,the logistics industry is being doubly pressed to achieve higher economic efficiency and greener development.In such light,the green transformation of the regional logistics industry is of great significance for achieving the dual carbon goals.In this paper,we have an in-depth analysis on the"high carbon emissions"situation in the logistics industry in Hunan Province,and use the LMDI decomposition method to study the various factors affecting the carbon emissions of the logistics industry and the extent of their influence,isolating energy structure,energy utilization efficiency,industry structure,economic output,and population size as the main influencing factors.Then,using relevant government statistical data for relevant years,we calculate the total carbon emissions of the logistics industry in Hunan Province from 2018 to 2022,and derive the contribution values and contribution rates of the above factors.Furthermore,we further look at the specific effect and changing trends of the factors on the carbon emissions of the logistics industry in Hunan Province.Based on this,a series of suggestions have been put forward,including optimizing the energy structure of the industry to promote the application of clean energy;improving energy utilization efficiency by turning to more energy-efficient technologies;optimizing industry structure and developing multimodal transportation and standardized equipment;adjusting economic development mode and advocating green consumption and logistics;controlling population scale and developing green distribution and intelligent express de
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