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How Carbon Trading Reduces China's Pilot Emissions: An Exploration Combining LMDI Decomposition and Synthetic Control Methods

机译:碳交易如何降低中国的试验排放:探索LMDI分解和合成控制方法

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摘要

Carbon trading is an effective market emission reduction mechanism. In order to formulate effective market policy, it is necessary to access a deep understanding of carbon trading policy implementation. So based on the panel data of 30 regions in China from 2001 to 2016, we investigated the factors of carbon emissions through LMDI decomposition approach, and then discuss the effect of policy implementation in eight pilots using synthetic control methods. The main conclusions are as follows: The distribution tendency of carbon emissions in China is obviously high in the east and low in the west, and the proportion of these regions' emissions to the total are respectively around 48.7%, 34.0% and 17.3%. The total carbon emissions effect can be divided into five parts, which respectively are energy structure, energy intensity, economic development, urbanization and population size. The gap between real and synthetic carbon emissions in each pilot is enlarged after implementation. The probability of the real policy effect is 4.35%, which at a 5% significant level refuses the original assumption that there is no policy effect, and shows that the carbon trading policy can effectively reduce emissions and achieve the goal of total control.
机译:碳交易是一种有效的市场减排机制。为了制定有效的市场政策,有必要访问对碳交易政策实施的深刻理解。因此,基于2001年至2016年中国30个地区的面板数据,我们通过LMDI分解方法调查了碳排放的因素,然后使用合成控制方法探讨了八个导航中的政策实施的影响。主要结论如下:西方碳排放的分布趋势明显高,西部低,这些地区排放量的比例分别约为48.7%,34.0%和17.3%。总碳排放效应可分为五个部分,分别是能结构,能源强度,经济发展,城市化和人口规模。实施后,每次飞行员的实际和合成碳排放之间的差距在实施后扩大。实际政策效应的可能性是4.35%,其在5%的大幅度下拒绝了没有政策效应的原始假设,并表明碳交易政策可以有效地减少排放,实现总控制的目标。

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