2013
DOI: 10.1016/j.enpol.2012.10.024
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Management accounting approach to analyse energy related CO2 emission: A variance analysis study of top 10 emitters of the world

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Cited by 14 publications
(16 citation statements)
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“…Also, for the considered panel of countries, this may represent a valid proof that the number of population does not affect the energy intensity, and, consequently, for the sample period, this variable does not affect the results of the research. This finding is consistent with other similar research results presented in the extant literature [ 25 27 ].…”
Section: Materials and Methodologysupporting
confidence: 94%
“…Also, for the considered panel of countries, this may represent a valid proof that the number of population does not affect the energy intensity, and, consequently, for the sample period, this variable does not affect the results of the research. This finding is consistent with other similar research results presented in the extant literature [ 25 27 ].…”
Section: Materials and Methodologysupporting
confidence: 94%
“…(1) SDA has been applied to study drivers of carbon emission in countries (areas) below: China (Feng et al, 2012;Yuan and Zhao, 2016), top 10 emitters of the world (Pani and Mukhopadhyay, 2013), Beijing in China (Wang et al, 2013;Tian et al, 2013), European Union (Fonti and Pavan, 2014;Kopidou et al, 2016). (2) SDA method also was used to study drives of energy consumption in the following countries (areas):India (Das and Paul, 2013), China (Li et al, 2014;Zeng et al, 2014;Zhang and Lahr, 2014).…”
Section: Introductionmentioning
confidence: 99%
“…Researchers have quantified the impact of different factors on the change of CO2 emissions from the regional [3][4][5][6] to the sectoral [7][8][9] perspective, and generally divided the factors into energy mix, energy intensity, industrial structure, economic activity, and population scale. Pani and Mukhopadhyay [3] undertook a decomposition study of CO2 emission of the top ten emitting countries and indicated that although rising income and population are the main driving forces, they are neither necessary nor sufficient for increasing emission, rather, energy structure and emission intensities are the crucial determinants. Mahony [4] decomposed the effects of changes in CO2 emissions in Ireland and found that scale effects of affluence and population growth action increase emissions and are countered primarily by energy intensity and fossil fuel substitution.…”
Section: Introductionmentioning
confidence: 99%