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Carbon Transfer Decision Model Based on LMDI Method
Author(s) -
Yawei Qi,
G.U.K. Rao,
Lei Zha,
Lu Chen,
Yuping Niu
Publication year - 2022
Publication title -
computational intelligence and neuroscience
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.605
H-Index - 52
eISSN - 1687-5273
pISSN - 1687-5265
DOI - 10.1155/2022/3970880
Subject(s) - divisia index , carbon fibers , environmental economics , index (typography) , corporate governance , greenhouse gas , environmental science , natural resource economics , business , economics , computer science , mathematics , statistics , energy (signal processing) , finance , algorithm , composite number , ecology , world wide web , energy intensity , biology
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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