“双碳”背景下福建省物流业运行效率测度及影响因素研究  

Research on the efficiency measurement and influencing factors of the logistics industry in Fujian Province under the background of Carbon Peaking and Carbon Neutrality Goals

作　　者：李征[1] LI Zheng(Yang-en University,Quanzhou 362014,China)

机构地区：[1]仰恩大学,福建泉州362014

出　　处：《技术与市场》2024年第6期143-147,共5页Technology and Market

基　　金：福建省中青年教师教育科研项目(社科类)“双碳背景下福建省物流业运行效率测度及影响因素研究”(JAS22182)。

摘　　要：物流业是能源消耗和碳排放的主要产业,碳达峰、碳中和目标的提出将对物流业发展产生深远的影响,因此行业低碳化发展成为亟须解决的问题。运用碳排放系数法测度福建省2012—2021年物流业碳排放总规模,在此基础上利用对数平均迪式指数分解法(logarithmic mean Divisia index,LMDI)模型分析能源结构、能源效率、产业结构、经济增长和人口因素对福建省物流业运行效率的影响。研究结果显示:经济增长、能源效率和人口因素对福建省物流业碳排放总量增加起促进作用,其中经济增长因素的促进作用最大;能源结构和产业结构因素对福建省物流业碳排放增加起抑制作用。最后,基于实证分析结果,提出推动福建省物流业低碳化发展建议。The logistics industry is a major industry in energy consumption and carbon emissions.The achievement of carbon peak and carbon neutrality goals will have a profound impact on the development of the logistics industry.Therefore,the low-carbon development of the logistics industry has become an urgent problem that needs to be solved.The carbon emission coefficient method was used to measure the total carbon emissions of the logistics industry in Fujian Province from 2012 to 2021.The logarithmic mean Divisia index(LMDI)model is used to measure the impact of energy structure,energy efficiency,industrial structure,economic growth,and population factors on the operational efficiency of the logistics industry in Fujian Province.The research results show that economic growth,energy efficiency,and population factors have a promoting effect on the total carbon emissions of the logistics industry,with economic growth factors having the greatest promoting effect;the factors of energy structure and industrial structure have a restraining effect on the increase of carbon emissions.Finally,based on the results of the empirical analysis,suggestions are proposed to promote the low-carbon development of the logistics industry in Fujian Province.

关 键 词：物流业 碳排放 对数平均迪式指数分解法(LMDI) 影响因素 福建 

分 类 号：X322[环境科学与工程—环境工程] F259.27[经济管理—国民经济]