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首页> 外文期刊>International journal of sustainable transportation >Responsive relationship between energy-related carbon dioxide emissions from the transportation sector and economic growth in Beijing-Based on decoupling theory
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Responsive relationship between energy-related carbon dioxide emissions from the transportation sector and economic growth in Beijing-Based on decoupling theory

机译：北京交通部门能源相关二氧化碳排放与经济增长的响应关系-基于解耦理论

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摘要

Decoupling theory is effective to analyze the interdependence between variables and has been applied in environmental economics. However, most of the previous literature focus on decoupling and recoupling analysis, while rarely consider their driving factors. This study aims to explore the relationship between transportation CO2 emissions and economic growth in Beijing from 1995 to 2014 by an extended Tapio elastic analysis, considering the contribution from industrial emission reduction, industrial energy saving, industrial operating efficiency, and industrial development. The entire decoupling state between transportation CO2 emissions and economic growth changed with time. From 1995 to 2005, the decoupling relationship between transportation CO2 emissions and economic growth exhibits a fluctuation among expansive negative decoupling, weak decoupling, and expansive coupling. Since decoupling elasticity values among industrial energy saving, industrial operating efficiency and industrial development were variably large and neutralized with each other, interaction of these decoupling elasticities may explain the fluctuation of the entire decoupling effect during this period. During the period from 2006 to 2008, the negative impact of industrial energy-saving elasticity overtook the positive one from industrial operating efficiency elasticity, which leads to worsening in the decoupling state between transportation CO2 emissions and economic growth. The decoupling state was improved from expansive negative decoupling to weak decoupling after 2008, which can be attributed to policy-oriented practices supporting energy conservation.
机译：解耦理论对于分析变量之间的相互依赖关系是有效的，并已在环境经济学中得到应用。但是，大多数以前的文献都集中在去耦和再耦合分析上，而很少考虑它们的驱动因素。这项研究旨在通过扩展的Tapio弹性分析探讨1995年至2014年北京交通运输二氧化碳排放与经济增长之间的关系，同时考虑了工业减排，工业节能，工业运营效率和工业发展的贡献。运输二氧化碳排放量与经济增长之间的整个脱钩状态随时间变化。从1995年到2005年，交通运输中CO2排放与经济增长之间的解耦关系呈现出扩张型负解耦，弱解耦和扩张型耦合之间的波动。由于工业节能，工业运行效率和工业发展之间的解耦弹性值各不相同，并且相互抵消，因此这些解耦弹性的相互作用可能解释了整个解耦效应在此期间的波动。 2006年至2008年期间，工业节能弹性的负面影响超过了工业运营效率弹性的正面影响，这导致运输二氧化碳排放量与经济增长之间的脱钩状态恶化。 2008年之后，脱钩状态从扩大的负脱钩状态改善为弱脱钩状态，这可以归因于支持节能的政策导向型实践。

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