中文摘要：

分析了中国交通运输业碳排放驱动因素,基于多元回归分析方法,提出了碳排放驱动因素的通径分析方法;基于中国近20年交通运输业碳排放的面板数据,计算了碳排放驱动因素的直接通径系数与间接通径系数,分析了主要驱动因素对碳排放的直接影响程度及其相互作用产生的间接影响程度。分析结果表明：经济水平、运输强度、能源强度是影响交通运输业碳排放的主要因素,直接通径系数越大,对交通运输业碳排放拉动能力越大,间接通径系数越大,对其他因素依赖性越大;经济水平的直接通径系数为1.338,表明经济增长直接刺激了中国交通运输业碳排放的增长,间接通径系数之和为-0.350,表明经济水平对其他2个因素依赖较小,且具有较强的拉动效应;运输强度的直接通径系数为0.422,表明运输强度推动了交通运输业碳排放的增长,间接通径系数之和为1.171,表明运输强度对经济水平有较大的依赖性,单位GDP所消耗的物流量与物流成本较高,所附加的产业价值较低;能源强度的直接通径系数为0.216,表明能源强度是中国交通运输业碳排放增长的重要推动因素,间接通径系数之和为0.119,表明经济发展拉动了能源的快速消费,造成二氧化碳的大量排放,且单位周转量消耗的能源较高,能源的集约利用程度较低,造成了高昂的经济成本和环境成本。

英文摘要：

The driving factors of carbon emissions for Chinese transportation industry were analyzed, and the path analysis method of carbon emissions＇ driving factors was proposed based on multi-element regression analysis method. Based on the last two decades＇ panel data of carbon emissions for Chinese transportation industry, the direct and indirect path coefficients of the factors were computed, and the direct influence degrees of main driving factors and the indirect influence degrees of their interactions were studied. Analysis result shows that economic level, transportation intensity and energy intensity are main influence factors of transportation carbon emissions. The larger the direct path coefficient is, the greater the promotion to transportation carbon emissions is. The larger the indirect path coefficient is, the greater the dependence on other factors is. Economic level＇s direct path coefficient is 1. 338, which indicates that economic growth directly stimulates the increase of carbon emissions. The sum of economic level＇s indirect path coefficients is --0. 350, so economic level has little dependence on other two factors but has strong promotion effect. Transportation intensity＇s direct path coefficient is 0. 422, which indicates that transportation intensity increases transportation carbon emissions. The sum of transportation intensity＇s indirect path coefficients is 1. 171, so transportation intensity has strong dependence on economic level, the logistic quantity and logistic cost of unit GDP consumption are higher, and the added value of industry is lower. Energy intensity＇s direct path coefficient is 0. 216, which indicates that energy intensity is an important factor to increase transportation carbon emissions. The sum of energy intensity＇s indirect coefficients is 0. 119, so economic development increases energy consumption, which results in a large amount of carbon dioxide emission, and the high economic and environmental costs results from the higher energy consumption of unit turnov