2020
DOI: 10.1111/nrm.12284
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A LMDI decomposition analysis of carbon dioxide emissions from the electric power sector in Northwest China

Abstract: Taking advantage of the electrification strategy, Northwest China has made full use of its natural resources endowment, to develop renewable energy as the substitution of thermal power. To evaluate carbon dioxide (CO2) emissions from electric power sector, an extended Kaya identity equation and the Logarithmic mean Divisia index decomposition method are applied to Northwest China from 1998 to 2017. Six explaining factors are analyzed, including carbon intensity, energy mixes, generating efficiency, electrifica… Show more

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Cited by 22 publications
(10 citation statements)
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“…The steps for decomposing GHG emissions from agriculture are based on the equations demonstrated in the studies by [44,[47][48][49][50]. Each factor has a different effect on total GHG emissions over a different period of time [51]. GHG emissions (in CO 2 equivalent) from agriculture consist of four factors and are equal to their product.…”
Section: Methods and Used Datamentioning
confidence: 99%
See 1 more Smart Citation
“…The steps for decomposing GHG emissions from agriculture are based on the equations demonstrated in the studies by [44,[47][48][49][50]. Each factor has a different effect on total GHG emissions over a different period of time [51]. GHG emissions (in CO 2 equivalent) from agriculture consist of four factors and are equal to their product.…”
Section: Methods and Used Datamentioning
confidence: 99%
“…If the value of the effect is positive, it means that the factor increases GHG emissions; if the value is negative, it reduces GHG emissions [51].…”
Section: Methods and Used Datamentioning
confidence: 99%
“…where ∆C represents the difference between the CO 2 emissions in year t and the carbon emissions C 0 in the base year, ∆E represents the energy structure carbon intensity effect, ∆I measures the energy intensity effect, ∆B measures the economic growth effect, and ∆P measures the population effect. The above equation illustrates that the change in carbon dioxide emissions is determined by the four main indicators: the energy structure carbon intensity effect, the energy intensity effect, the economic growth effect, and the population effect [22]. The four indicators are calculated for any year to evaluate the contribution of the above four effects to the change in carbon dioxide emissions.…”
Section: Determination Of Decisive Factors Based On the Kaya Identity And Grey Relation Analysismentioning
confidence: 99%
“…A nivel mundial se ha utilizado con frecuencia el método LMDI para poder describir el comportamiento de las emisiones de CO 2 en diferentes partes del mundo como lo dice (Mai, Ran, & Wu,, 2020), en su estudio de descomposición de LMDI de las emisiones de dióxido de carbono del sector de la energía eléctrica en el noroeste de China donde se analizan seis factores explicativos, incluida la intensidad del carbono, la combinación y generación de energía, electrificación, economía y población. Los resultados muestran que las fuerzas impulsoras de las emisiones de CO 2 del sistema eléctrico variaron enormemente entre las provincias.…”
Section: Introductionunclassified