4.7 Article

Energy carbon emission reduction of China's transportation sector: An input-output approach

期刊

ECONOMIC ANALYSIS AND POLICY
卷 69, 期 -, 页码 378-393

出版社

ELSEVIER
DOI: 10.1016/j.eap.2020.12.014

关键词

Transportation sector; Carbon emission; Structural decomposition analysis; Input-output; Energy

资金

  1. National Natural Science Foundation of China [71774071]

向作者/读者索取更多资源

The study found that improving energy efficiency is a key factor in reducing carbon emissions in China's transportation sector, while the steady growth of demand for transportation across all industries is the main reason for carbon emission growth. Dynamic optimization of industrial structure can help reduce carbon emissions caused by demand effects, and reducing the proportion of low-carbon and high-carbon energy consumption structures also helps to restrain the growth of carbon emissions.
It is worthwhile to carry out carbon emission reduction of transportation, which is an important sector of energy consumption. Thus, we used the expanded structural decomposition analysis model and input-output analysis to investigate the structural emission reduction of transportation in China. The results reveal that within the research interval, (1) the energy intensity effect (EIE) was a major factor for reducing carbon emissions from China's transportation sector, which is caused by the improvement of energy efficiency. However, the input structure effect (ISE) on emission reduction is not apparent. Therefore, the utilization efficiency of transportation in various industries has not been significantly optimized. (2) The final demand effect (FDE) is the main determinant of carbon emission growth in transportation sector due to the steady growth of demand for transportation across all industries. Simultaneously, secondary industries play a major role in the FDE, followed by tertiary and primary industries. However, the direct consumption coefficient of primary and tertiary industries to the transportation sector demand is lower than that of the secondary industries (e.g., heavy industry). Therefore, the dynamic optimization of industrial structure is conducive to reducing carbon emissions caused by FDE. (3) The energy structure effect (ESE) is shown to restrain the growth of carbon emissions with an increasing trend, caused by the increase and decrease in the proportion of low-carbon and high-carbon energy consumption structure, respectively, in the energy supply side of transportation sector. Diesel oil, gasoline, kerosene, and liquefied natural gas were the main contributors to carbon emission reduction in ESE, while raw and cleaned coal did not play a role in reducing carbon emissions in ESE. This study can provide practical guidance for China's transportation sector to implement emission reduction more accurately based on the energy type and industry level. (C) 2020 Economic Society of Australia, Queensland. Published by Elsevier B.V. All rights reserved.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据