Your browser doesn't support javascript.
loading
Carbon Transfer Decision Model Based on LMDI Method.
Qi, Yawei; Rao, Guangping; Zha, Lei; Chen, Lu; Niu, Yuping.
Afiliação
  • Qi Y; School of Information Management, Jiangxi University of Finance and Economics, Nanchang 330032, China.
  • Rao G; School of Information Management, Jiangxi University of Finance and Economics, Nanchang 330032, China.
  • Zha L; School of Information Management, Jiangxi University of Finance and Economics, Nanchang 330032, China.
  • Chen L; School of Information Management, Jiangxi University of Finance and Economics, Nanchang 330032, China.
  • Niu Y; School of Information Management, Jiangxi University of Finance and Economics, Nanchang 330032, China.
Comput Intell Neurosci ; 2022: 3970880, 2022.
Article em En | MEDLINE | ID: mdl-35310590
ABSTRACT
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.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Carbono Tipo de estudo: Health_economic_evaluation / Prognostic_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Carbono Tipo de estudo: Health_economic_evaluation / Prognostic_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article