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An Improved Grey Multivariable Verhulst Model for Predicting CO_2 Emissions in China

机译:预测中国CO_2排放的改进灰色多变量Verhulst模型。

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摘要

A new method for discussing the relationship between CO_2 emissions and bilateral FD1 is proposed using grey systems theory. CO_2 emissions and bilateral FDI, GDP are separately regarded as the input to, and output of, a grey system to establish a grey multivariable Verhulst model, GVM(1,N). To improve the prediction accuracy, the residual modification model are combined to the original GVM(1,N) model. Based on data relating to CO_2 emissions and bilateral FDI, GDP in China from 2001 to 2014, empirical research shows that the bilateral FDI help reduce CO_2 emissions, whereas the GDP results in CO_2 emissions.
机译:运用灰色系统理论提出了一种讨论CO_2排放量与双边FD1关系的新方法。 CO_2排放量和双边FDI,GDP分别视为建立灰色多变量Verhulst模型GVM(1,N)的灰色系统的输入和输出。为了提高预测精度,将残差修正模型与原始GVM(1,N)模型组合。根据与CO_2排放量和双边FDI,中国2001年至2014年GDP的数据有关,实证研究表明,双边FDI有助于减少CO_2排放,而GDP则导致CO_2排放。

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