摘要
为实现“双碳”目标,减少山东省交通运输碳排放量,基于山东省2010—2022年统计数据,采用“自上而下”法测算交通运输碳排放量,并通过STIRPAT模型分析了影响山东省交通运输碳排量主要因素。结果表明,山东省交通运输碳排放量比较大;人均GDP、城镇化率、综合换算周转量和能源结构与交通运输碳排放量之间呈正相关关系。山东省交通运输碳排放量仍处于上升期,未来降碳减排方向应从能源结构优化、产业结构优化、交通运输结构的优化等方面入手。
In order to achieve the goal of“double carbon”and reduce the carbon emissions from transport in Shandong Province,the top-down method was used to measure the carbon emissions from transport based on the statistical data of Shandong Province from 2010-2022,and the main factors affecting the carbon emissions from transport in Shandong Province were analyzed by the STIRPAT model.Based on the statistical data of Shandong Province from 2010to 2022,the transport carbon emissions were measured by the“top-down”method,and the main factors affecting the transport carbon emissions in Shandong Province were analyzed by STIRPAT model.The results show that transport carbon emissions in Shandong Province are relatively large,and that there is a positive correlation between per capita GDP,urbanization rate,comprehensive conversion turnover and energy structure and transport carbon emissions.Carbon emissions from transport in Shandong Province are still on the rise,and the future direction of carbon reduction and emission reduction should start from the optimization of energy structure,the optimization of industrial structure,and the optimization of transport structure.
作者
韩泉城
刘星雨
孙浩
马文璟
张蕾
HAN Quancheng;LIU Xingyu;SUN Hao;MA Wenjing;ZHANG Lei(Shandong Jiaotong University,School of Transportation and Logistics Engineermig,Jinan 250300,China;Qingzhou City Bureau of Commerce,Weifang 262500,Shandong,China;Shandong Jiaotong University,School of Economics and Management,Jinan 250300,China)
出处
《科技和产业》
2024年第14期260-265,共6页
Science Technology and Industry
基金
2024年度山东省人文社会科学课题(24BGL065)。
