哈尔滨商业大学学报（自然科学版）2024，Vol.40Issue(2)：240-249,10.
物流业碳排放绩效及低碳策略
Carbon emission performance and low-carbon strategies of logistics industry
摘要
Abstract
The eastern region is the most developed area in China's economy,with its logistics volume accounting for over 78%of the national total.As a high-carbon energy-dependent in-dustry,the development of the logistics sector has inevitably resulted in significant carbon e-missions.In this paper,the DEA-BCC model was employed to evaluate the static carbon e-mission performance,pure technical efficiency,and scale efficiency of the logistics industry in ten eastern regions of China.Logistics industry energy input,capital input,and labor in-put as input indicators,and logistics industry output value and carbon emissions were em-ployed as output indicators.Moreover,taking Fujian Province as an example,known for its sustainable development potential and national ecological strategic position,the dynamic car-bon emission performance of the logistics industry in Fujian Province was measured using the DEA-Malmquist index model.Additionally,an expanded STIRPAT model was constructed based on factors such as year-end resident population,urbanization rate,per capita GDP,and the proportion of clean energy,with benchmark scenarios,low-carbon scenarios,and in-tensified low-carbon scenarios set to simulate the trends in carbon emissions in the logistics industry of Fujian Province from 2011 to 2035.The results showed that in both the baseline scenario and low-carbon scenario,carbon emissions from the logistics industry in Fujian Province were still on a continuous upward trend,with average annual growth rates of 1.68%and 1.50%,respectively,making it unable to achieve the goal of peaking carbon emissions by 2030.However,under an intensified low-carbon scenario,carbon emissions from the lo-gistics industry in Fujian Province could reach their peak by 2030.Based on these research,recommendations for green and low-carbon development in the logistics industry in Fujian Province were proposed,providing guidance and reference for the low-carbon and green de-velopment roadmap of the logistics industry in Fujian Province as part of its"14th Five-Year Plan"and long-term vision for 2035.关键词
碳排放绩效/DEA模型/物流业/STIRPAT模型/情景分析法Key words
carbon emissions performance/DEA model/logistics industry/STIRPAT mod-el/scenario analysis分类
管理科学引用本文复制引用
张兰怡,徐艺诺,王硕,翁大维,张思怡,戈秋虞..物流业碳排放绩效及低碳策略[J].哈尔滨商业大学学报（自然科学版）,2024,40(2):240-249,10.基金项目
福建省科技创新战略研究联合项目资助(2022R0137). （2022R0137）
