摘要
运用灰色矩阵相似模型,基于绿色可持续发展的角度,探讨华东地区物流业碳排放量的影响因素。结果表明:城镇化率、物流业能源强度和物流业生产总值是物流业碳排放的主要影响因素,以石油类为主的物流业能源结构和物流业产出则是物流业的次要影响因素。在此基础上,提出控制城镇化率速度、提高能源的利用效率、优化物流业的能源结构和调整物流业产出等措施抑制物流业碳排放量。
Using the gray matrix similarity model,we explored the influencing factors of carbon emissions in logistics industry in East China based on the perspective of green and sustainable development.The results show that:urbanization rate,energy intensity of logistics industry and gross value of logistics industry are the main influencing factors of carbon emission in logistics industry,while energy structure of logistics industry,mainly petroleum,and output of logistics industry are the secondary influencing factors of logistics industry.Therefore,controlling the rate of urbanization,improving the efficiency of energy use,optimizing the energy structure of the logistics industry and adjusting the output of the logistics industry can effectively curb carbon emissions from the logistics industry.
作者
刘霞
孟祥瑞
王向前
Liu Xia;Meng Xiangrui;Wang Xiangqian(School of Economics and Management,Anhui University of Science&Technology,Huainan Anhui 232001,China)
出处
《河北环境工程学院学报》
CAS
2022年第3期1-6,共6页
Journal of Hebei University of Environmental Engineering
基金
国家自然基金资助项目(51874003)。
关键词
物流业碳排放
面板数据
物流业碳排放影响因素
灰色关联度
节能减排
logistics industry carbon emission
panel data
influencing factors of carbon emission in logistics industry
grey correlation degree
conserve energy and reduce emissions
