中文摘要：

继中国碳排放总量超越美国成为全球最大碳排放体后,2014年中国人均碳排放达到7.2t/人,超过欧盟。而物流作为国民经济的排头兵,在碳排放上做出了极大“贡献”。基于此,以物流运输业为研究对象,以2004—2014年物流运输能源消耗为基础数据,利用对数平均迪氏分解法对物流运输产生的碳排放量进行因素分解,得出碳排放因子、能源消耗结构、运输方式、物流运输货运量、能源消耗强度五种影响因素,并通过构造分解模型,以量化手段得出各因子对运输碳排放量的贡献大小,并据此提出运输业碳减排的几点建议和措施。

英文摘要：

After China＇s total carbon emissions exceed the United States to become the world＇s largest carbon emissions, China＇s per capita carbon emissions in 2014 reached 7.2 tons/person, more than the EU. Logistics, as the vanguard of the national economy, made great ＂contribution＂ for carbon emissions. Based on this, this paper took the logistics and transport industry as the research object, and took 2004 - 2014 logistics and transport energy consumption as the basic data, using the logarithmic mean divisia decomposition method to decompose logistics and transport carbon emissions, obtained the carbon emission factor, energy consumption structure, the mode of transport, logistics freight and energy consumption strength five influence factors, and through structuring decomposition model to get each factor＇s contribution to transport carbon emissions and accordingly put forward the suggestions and measures on the transport carbon emission reduction.