4.2 Article

Carbon Transfer Decision Model Based on LMDI Method

Journal

COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE
Volume 2022, Issue -, Pages -

Publisher

HINDAWI LTD
DOI: 10.1155/2022/3970880

Keywords

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Funding

  1. National Natural Science Foundations of China [71763010, 71803038]
  2. Student Research Project of Jiangxi University of Finance and Economics [20210918091940252]

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Establishing a coordinated governance mechanism for regional carbon emissions is crucial for achieving carbon peak and carbon neutrality. This study used the multiregional input-output (MRIO) model to calculate carbon emissions and analyzed the decision-making process of interprovincial net carbon emissions transfer. The results revealed that the input-output effect was the primary influencing factor of interprovincial net carbon transfer.
Establishing a coordinated governance mechanism for regional carbon emissions is an essential way to achieve carbon peak and carbon neutrality, while the study of interprovincial carbon emissions transfer is one of the important foundations of regional carbon emissions coordinated governance research. Based on the multiregional input-output (MRIO) model, this study calculated the carbon emissions from both the producers' perspective and the consumers' perspective and analyzed the interprovincial net carbon emissions transfer decision. Furthermore, the logarithmic mean Divisia index (LMDI) method was adopted to decompose the factors that affect the province's net carbon emissions into technological effect, structural effect, input-output effect, and scale effect. It was revealed that the input-output effect was the primary influencing factor of the net carbon transfer at the provincial level.

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