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Transport Sector Marginal Abatement Cost Curves in Computable General Equilibrium Model

机译:可计算一般均衡模型中的运输部门边际减排成本曲线

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In the last decade, computable general equilibrium (CGE) models have emerged a standard tool for climate policy evaluation due to their abilities to prospectively elucidate the character and magnitude of the economic impacts of energy and environmental policies. Furthermore, marginal abatement cost (MAC) curves which represent GHG emissions reduction potentials and costs can be derived from these top-down economic models. However, most studies have never address MAC curves for a specific sector that have a large coverage of countries which are needed for allocation of optimal emission reductions. This paper aims to explicitly describe the meaning and character of MAC curves for transport sector in a CGE context through using the AIM/CGE Model developed by Toshihiko Masui. It found that the MAC curves derived in this study are the inverse of the general equilibrium reduction function for CO_2 emissions. Moreover, the transport sector MAC curves for six regions including USA, EU-15, Japan, China, India, and Brazil, derived from this study are compared to the reduction potentials under 100 USD/tCO_2 in 2020 from a bottom-up study. The results showed that the ranking of the regional reduction potentials in transport sector from this study are almost same with the bottom-up study except the ranks of the EU-15 and China. In addition, the range of the reduction potentials from this study is wider and only the USA has higher potentials than those derived from the bottom-up study.
机译:在过去的十年中,可计算的一般均衡(CGE)模型已经成为气候政策评估的标准工具,因为它们具有前瞻性地阐明能源和环境政策的经济影响的特征和严重程度的能力。此外,可以从这些自上而下的经济模型中得出代表温室气体减排潜力和成本的边际减排成本(MAC)曲线。但是,大多数研究从未针对特定行业的MAC曲线,该行业覆盖了分配最佳减排量所需要的国家。本文旨在使用Masui Toshihiko Masui开发的AIM / CGE模型来明确描述CGE环境中运输部门MAC曲线的含义和特征。发现本研究得出的MAC曲线与CO_2排放的一般平衡降低函数相反。此外,从该研究得出的包括美国,欧盟15国,日本,中国,印度和巴西在内的六个地区的运输部门MAC曲线与自下而上研究在2020年低于100 USD / tCO_2的减排潜力进行了比较。结果表明,除欧盟15国和中国的排名外,本研究中运输部门区域减排潜力的排名与自下而上的研究几乎相同。此外,这项研究的减排潜力范围更广,只有美国的减排潜力比自下而上的研究更高。

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