Carbon emissions index decomposition and carbon emissions prediction in Xinjiang from the perspective of population-related factors, based on the combination of STIRPAT model and neural network

In the present study, the STIRPAT model was adopted to examine the impacts of several factors on dioxide emissions using the time series data from 2000 to 2019 in Xinjiang. The said factors included population aging, urbanization, household size, per capita GDP, number of vehicles, per capita mutton...

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Detalles Bibliográficos
Autores principales: Ziyuan, Chai, Yibo, Yan, Simayi, Zibibula, Shengtian, Yang, Abulimiti, Maliyamuguli, Yuqing, Wang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8747851/
https://www.ncbi.nlm.nih.gov/pubmed/35013948
http://dx.doi.org/10.1007/s11356-021-17976-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8747851/
https://www.ncbi.nlm.nih.gov/pubmed/35013948
http://dx.doi.org/10.1007/s11356-021-17976-4

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