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- W2010264608 abstract "This paper integrates Grossman decomposition model with Logarithmic Mean Divisia Index (LMDI) Decomposition method to construct a new decomposition model concerning industrial pollution factors. We decompose the influencing factors with the constructed model which selects year 2005 to 2008 as analysis period and Chinese industries and SO <sub xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>2</sub> emission of its internal industries as research object. For Chinese industry and its domains, the dominant influencing factor of SO <sub xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>2</sub> emission is scale effect in analysis period. The variation of scale goes against the reduction of SO <sub xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>2</sub> , whereas structural variation benefits that. Improve the clean technology effect or pollution treatment effect is two effective ways of reducing SO <sub xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>2</sub> emission. Only by lowering down the emission of SO <sub xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>2</sub> of leading domains, the reduction effect can be more obvious." @default.
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- W2010264608 date "2011-05-01" @default.
- W2010264608 modified "2023-09-27" @default.
- W2010264608 title "The Analysis of Factors Affecting SO2 Emission of Chinese Industry" @default.
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- W2010264608 doi "https://doi.org/10.1109/caman.2011.5778881" @default.
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