Purpose: This paper analyses the impact mechanism of international oil price on the industrial carbon emission, and uses the partial least squares regression model to study international oil price’s impact on carbon emissions in China’s transportation industry.\ud\udDesign/methodology/approach: This paper chooses five independent variables of GDP, international oil price, private car population, passenger and freight transportation volume as impact factors to investigate industrial carbon emissions, the paper also analyses the impact mechanism of international oil price on the industrial carbon emission, and finally the paper uses the partial least squares regression model to study international oil price’s impact on carbon emissions in China’s transportation industry. With the independent variables’ historical data from 1994 to 2009 as a sample, the fitting of the industry carbon emissions is satisfying. And based on the data of 2011, the paper maintains the private car owning, passenger and freight transportation volume to study international oil prices’ impact on the industry carbon emissions at different levels of GDP.\ud\udFindings: The results show that: with the same GDP growth, the industry carbon emissions increase with the rise in international oil prices, and vice versa, the industry carbon emissions decrease; and lastly when GDP increases to a certain extent, in both cases of international oil prices’ rise or fall, the industry carbon emissions will go up, and the industry carbon emissions increase even faster while the energy prices are rising.\ud\udPractical implications: Limit the growth in private-vehicle ownership, change China's transport sector within the next short-term in the structure of energy consumption and put forward China's new energy, alternative energy sources and renewable energy application so as to weaken the dependence on international oil, and indirectly slowdown China's GDP growth rate, which are all possible solutions to reduce China's transportation industry carbon emission.\ud\udOriginality/value: The paper presents a method to study international oil prices’ impact on the industry carbon emissions at different levels of GDP; and draws some corresponding proposals on industry carbon emission reduction
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机译：目的：本文分析了国际油价对工业碳排放的影响机理，并使用偏最小二乘回归模型研究了国际油价对中国交通运输业碳排放的影响。\ ud \ ud设计/方法/方法：本文选择了GDP，国际油价，私家车人口，客货运输量五个自变量作为影响工业碳排放量的影响因素，并分析了国际油价对工业碳排放量的影响机理。本文使用偏最小二乘回归模型研究国际油价对中国交通运输业碳排放的影响。以1994年至2009年自变量的历史数据为样本，该行业的碳排放量拟合效果令人满意。并且基于2011年的数据，本文以私人汽车拥有量，客运量和货运量为基础，研究了国际油价在不同GDP水平下对行业碳排放的影响。\ ud \ udFindings：结果表明：在相同的GDP增长下，随着国际油价的上涨，该行业的碳排放量增加，反之亦然，该行业的碳排放量减少了；最后，当GDP增长到一定程度时，在国际油价上涨或下跌的情况下，行业碳排放量都会上升，而在能源价格上涨的情况下行业碳排放量的增长速度甚至更快。\ ud \ ud实践意义：限制私人车辆拥有量的增长，在短期内改变能源消耗结构的中国交通运输业，并提出中国的新能源，替代能源和可再生能源的应用，以减轻对国际石油的依赖，间接/减缓中国的GDP增长率，这些都是减少中国交通运输业碳排放的可能解决方案。\ ud \ ud原创性/价值：本文提出了一种方法来研究国际油价在不同GDP水平下对行业碳排放的影响;并就行业碳减排提出了相应的建议
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