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Environmental Pollution Caused by the Transportation Industry and Influencing Factors of Carbon Emission: A Case Study of Jiangxi Province, China

机译:交通运输业对环境的污染及其碳排放的影响因素-以江西省为例

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With the accelerating industrialization and urbanization in China, the energy consumption of the transportation industry in the country is increasing quickly, and its proportion to the total social energy consumption is significantly growing. The transportation industry is a main source of carbon emission in urban areas. The unreasonable structure of energy consumption, the low proportion of new-energy use, and low energy utilization influence the energy-saving and emission reduction in the transportation industry. Thus, in this work, the influencing factors of transportation-induced carbon emission were estimated to analyze the environmental pollution caused by the transportation industry further. Regression analysis was performed on the environmental pollution caused by the transportation industry and the influencing factors of carbon emission in Jiangxi Province, China. Subsequently, a random STIRPAT model was constructed, and the influencing factors of carbon emission from the transportation industry in Jiangxi Province from 2007 to 2017 were analyzed through the partial least squares (PLS) method. Regression results based on the PLS method were relatively ideal. Increases in gross domestic product per capita, population size, passenger person kilometers, rotation freight transport kilometers, and the number of car ownerships can intensify transportation-induced carbon emission. This emission is increased when transportation energy intensity declines, but can be significantly inhibited by increased energy prices. The conclusions of this study can provide references for the continuous optimization of the energy use structure in the transportation industry, saving of energy resources, reduction of greenhouse gas and pollutant emission, and acceleration of low carbonization in the transportation industry.
机译:随着中国工业化和城市化进程的加快,全国交通运输业的能源消耗增长迅速,在社会能源消费总量中的比重显着增长。交通运输业是城市地区碳排放的主要来源。能源消费结构不合理,新能源使用比例低,能源利用率低影响交通运输业的节能减排。因此,在这项工作中,估计了运输引起的碳排放的影响因素,以进一步分析运输业造成的环境污染。对江西省交通运输业造成的环境污染及碳排放的影响因素进行了回归分析。随后,建立了随机STIRPAT模型,并通过偏最小二乘(PLS)方法对江西省交通行业2007年至2017年碳排放的影响因素进行了分析。基于PLS方法的回归结果相对理想。人均国内生产总值,人口规模,旅客人公里,轮换货运公里和拥有汽车数量的增加,可能会加剧运输引起的碳排放。当运输能源强度下降时,这种排放会增加,但可以通过提高能源价格来显着抑制。本研究的结论可为交通运输业能源利用结构的持续优化,节约能源,减少温室气体和污染物排放,促进交通运输业低碳化提供参考。

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