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Empirical Analysis of Environmental Constraints and Influencing Factors in Beijing-Tianjin-Hebei Region
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Abstract
This paper focuses on carbon emissions problem and adopts the “bottom-up” method proposed by IPCC to calculate the energy consumption carbon emission of leading industries in the Beijing-Tianjin-Hebei region. And constructed the Tapio decoupling index model to analyze the “decoupling relationship” between the development of leading industries and energy consumption and carbon emissions in various regions, so as to quantify the environmental constraint levels of different industrial development. Finally, this paper uses LMDI model to decompose the carbon emission factors, and explores the environmental impact of industrial leading industries in Beijing-Tianjin-Hebei region from the four dimensions of carbon emission intensity, energy intensity, economic development and population size, in order to effectively promote the optimization of industrial structure in Beijing-Tianjin-Hebei region and to achieve pareto optimization.
Title: Empirical Analysis of Environmental Constraints and Influencing Factors in Beijing-Tianjin-Hebei Region
Description:
Abstract
This paper focuses on carbon emissions problem and adopts the “bottom-up” method proposed by IPCC to calculate the energy consumption carbon emission of leading industries in the Beijing-Tianjin-Hebei region.
And constructed the Tapio decoupling index model to analyze the “decoupling relationship” between the development of leading industries and energy consumption and carbon emissions in various regions, so as to quantify the environmental constraint levels of different industrial development.
Finally, this paper uses LMDI model to decompose the carbon emission factors, and explores the environmental impact of industrial leading industries in Beijing-Tianjin-Hebei region from the four dimensions of carbon emission intensity, energy intensity, economic development and population size, in order to effectively promote the optimization of industrial structure in Beijing-Tianjin-Hebei region and to achieve pareto optimization.
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