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Understanding marginal abatement cost curves in energy-intensive industries in China: insights from comparison of different models

机译:了解中国能源密集型产业中的边际减排成本曲线:不同模型比较的见解

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The Kyoto Protocol inspires the idea of establishing emissions trading scheme, regarding economic-effectiveness as a significant factor to achieve reduction targets and meet obligation. With this trend, marginal abatement cost curves (MACCs) have been used in climate policy analysis under general equilibrium framework, and have been proved a valid device to highlight the superiority of ETS. This paper focuses on the comparison of MACCs at industry level in China, derived by us from CGE, GCAM and TIMES respectively. It's clear that there is no dynamic adjustment process in these models, so we use linear interpolation method to introduce carbon tax to simulate actual situation. Meanwhile, we also take data from potential and cost study into account. To make our work more targeted, we pay close attention to energy-intensive industries with high carbon emissions level such as electricity, cement and steel, which are most likely to be covered in carbon market. The results indicate how MACCs change and illustrate why they change, depending on applied methodology and underlying assumptions. As we ignore the indirect effects, for instance, tax distortions and non-financial costs during above simulation, the emissions abatement cost we achieve by using integral calculus won't be equivalent to real cost. Therefore, it's a wise decision for government department and research institute to be cautious when using MACCs as basis of policy making and academic studies.
机译:京都议定书激发了建立排放交易计划的想法,作为经济效益,作为实现减少目标的重要因素并达到义务。通过这种趋势,边缘减排成本曲线(MACC)已在一般均衡框架下用于气候政策分析,并已被证明是一种有效的设备来突出ETS的优越性。本文重点介绍了中国工业水平的MACCS,由我们分别来自CGE,GCAM和时间。很明显,这些模型中没有动态调整过程,因此我们使用线性插值方法引入碳税来模拟实际情况。同时,我们还考虑到潜在和成本研究的数据。为了使我们的工作更有针对性,我们密切关注具有高碳排放水平的能源密集型产业,如电力,水泥和钢材,最有可能在碳市场覆盖。结果表明MACCS如何改变和说明它们根据应用方法和基础假设而改变的原因。当我们忽略间接效应时,例如,在上述模拟期间纳税和非财务成本,我们使用积分微积分实现的排放减排成本不会相当于实际成本。因此,在使用MACCS作为政策制定和学术研究的基础上,对政府部门和研究所的明智决定是谨慎的。

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