2009
DOI: 10.1016/j.enpol.2008.08.010
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CO2 emissions from electricity generation in seven Asia-Pacific and North American countries: A decomposition analysis

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Cited by 150 publications
(60 citation statements)
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“…Models used for decomposition of factors affecting energy-related carbon emissions by scholars from China and abroad varies in form due to the different focus in their research [34][35][36][37][38][39][40][41]. The LMDI (Logarithmic Mean Divisia Index) method is widely used in decomposition of factors affecting energy-related carbon emission for that it can satisfy the requirement of factor reversible and the residual item eliminated, which makes the model more convincing [42].…”
Section: Decomposition Of Factors Affecting Energy-related Carbon Emimentioning
confidence: 99%
“…Models used for decomposition of factors affecting energy-related carbon emissions by scholars from China and abroad varies in form due to the different focus in their research [34][35][36][37][38][39][40][41]. The LMDI (Logarithmic Mean Divisia Index) method is widely used in decomposition of factors affecting energy-related carbon emission for that it can satisfy the requirement of factor reversible and the residual item eliminated, which makes the model more convincing [42].…”
Section: Decomposition Of Factors Affecting Energy-related Carbon Emimentioning
confidence: 99%
“…Meanwhile, there is little research on the carbon emissions of the power industry in China, and the time span of selected samples in existing studies is relatively short. Malla [29] utilized LMDI to identify the driving factors of carbon emissions in the power industry for seven countries. Zhang et al [30] first adopted LMDI to analyze the influencing factors of China's CO 2 from power generation during 1991 to 2009.…”
mentioning
confidence: 99%
“…Andre et al identify the maximum economic growth rate of the Spanish economy under specific emission caps [13]. Malla examines the role of generation mix and energy intensity improvement on electricity sector carbon emissions in seven countries [14]. CGE analysis can be a reliable macroeconomic analytical approach when the required data is available.…”
Section: Introductionmentioning
confidence: 99%