"双碳"背景下长江经济带绿色物流效率评价与影响因素分析OA
Evaluation of Green Logistics Efficiency and Analysis of Influencing Factors in Yangtze River Economic Belt under Background of"Carbon Peaking and Carbon Neutrality"
选取2013-2022年长江经济带11个省份的相关数据,运用非期望Super-SBM模型和Malmquist模型,分析长江经济带绿色物流效率的变动趋势,并利用 Tobit 模型对其影响因素进行回归分析.研究表明:2013-2022年长江经济带绿色物流效率整体呈上升趋势,但平均效率值小于1,存在各地区绿色物流效率发展不平衡问题;长江经济带绿色物流全要素生产率大于1,其主导因素为物流技术进步,绿色物流全要素生产率呈现先增长后降低再增长的趋势;基础设施利用率、环境规制强度、科技创新水平会对绿色物流效率产生显著的正向影响关系;经济发展水平、能源消耗强度会对绿色物流效率产生显著的负向影响关系;而地区产业结构、政府物流财政投入和长江经济带绿色物流效率不存在显著相关性.针对研究结果,提出了相应的对策建议.
Based on the relevant data of 11 provinces in the Yangtze River Economic Belt from 2013 to 2022,the undesirable Super-SBM model and Malmquist model were applied to analyze the changing trend of green logistics efficiency in the Yangtze River Economic Belt,and the Tobit model was used to conduct regression analysis on its influencing factors.The results show that the overall green logistics efficiency in the Yangtze River Economic Belt from 2013 to 2022 shows an upward trend,but the average efficiency value is less than 1,and there is a problem of unbalanced development of green logistics efficiency among various regions.The total factor productivity of green logistics in the Yangtze River Economic Belt is greater than 1;its dominant factor is the progress of logistics technology,and the total factor productivity of green logistics shows a trend of initially increasing,then decreasing,and increasing again.The infrastructure utilization rate,environmental regulation intensity,and scientific and technological innovation level have a significant positive impact on green logistics efficiency;the economic development level and energy consumption intensity have a significant negative impact on green logistics efficiency;while the regional industrial structure,government financial input in logistics,and green logistics efficiency of the Yangtze River Economic Belt have no significant correlation.Based on the research results,corresponding countermeasures and suggestions were proposed.
张年;张志坚;谢京霖
华东交通大学 交通运输工程学院,江西 南昌 310013华东交通大学 交通运输工程学院,江西 南昌 310013华东交通大学 交通运输工程学院,江西 南昌 310013
交通工程
长江经济带绿色物流效率Super-SBM模型Malmquist模型Tobit模型
Yangtze River Economic BeltGreen Logistics EfficiencySuper-SBM ModelMalmquist ModelTobit Model
《铁道运输与经济》 2026 (5)
84-93,10
教育部人文社会科学研究规划基金项目(22YJAzH159)国家自然科学基金地区项目(72362015)
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