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A New Improved Decomposition Model Based on Laspeyres Index: A Case of CO_2 Emission in China from 1996-2011

机译:基于Laspeyres指数的新改进分解模型:1996 - 2011年中国CO_2排放的情况

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Due to some drawbacks of the Divisia inedex and its relevant decomposition methods, such as difficult affording accurate estimations in period-wise and cross-region decompositions with large discrete change data and involving logarithmic calculations [1]. This paper introduces a new decomposition index based on Laspeyres index (LI), leaving no unexplained residuals. It distributes interactive term among related factors according to different contribution rates of each factor which are related to the changes of these factors. An empirical illustration, decomposing changes in CO_2 emissions in China from 1996 to 2011 by both the proposed method (WLI) and Sun's Laspeyres index (SLI) method's time-series and period-wise methods, is carried out.
机译:由于Divisia IneDex及其相关的分解方法的一些缺点,例如难以在具有大离散变化数据的时期和跨区域分解中的准确估计,并且涉及对数计算[1]。本文介绍了基于Laspeyres指数(Li)的新分解指数,留下了无原因的残留物。它根据与这些因素的变化有关的每个因素的不同贡献率,在相关因素之间分配互动期。经验证明,通过建议的方法(WLI)和Sun的Laspeyres指数(SLI)的时间序列和周期 - 明智的方法,从1996年到2011年,中国的CO_2排放分散变化。

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