Decomposition analysis of CO2 emissions from passenger cars: The cases of Greece and Denmark

Papagiannaki, Katerina; Diakoulaki, D.

doi:10.1016/j.enpol.2009.04.026

Cited by 105 publications

(51 citation statements)

References 27 publications

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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%

Study on the Decomposition of Factors Affecting Energy-Related Carbon Emissions in Guangdong Province, China

2011

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Abstract:Guangdong is China's largest province in terms of energy consumption. The energy-related carbon emissions in Guangdong province are calculated, and two extended and improved decomposition models for energy-related carbon emissions are established with the Logarithmic Mean Divisia Index method based on the basic principle of Kaya identity. Main results are as follows: (1) the energy-related carbon emissions from the three strata of industry, except the primary industry, and household energy consumption in Guangdong province show increasing trend from 1995 to 2009; (2) the main driving and inhibiting factors which influence energy-related carbon emissions are economic output and energy intensity, respectively, while the contributions of energy mix, industrial structures, population size and living standards are not significant during the period of interest. It is concluded that optimizing the energy mix by exploiting new energy sources and cutting down energy intensity by developing low-carbon technologies are the two most effective approaches to reduce carbon emissions for Guangdong province in the future. The results and proposals in this paper provided reference for relevant administrative departments in the Government of Guangdong province to develop policies for energy conservation and emission reduction as well as to promote development of low-carbon economy. OPEN ACCESSEnergies 2011, 4 2250

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Section: Decomposition Of Factors Affecting Energy-related Carbon Emimentioning

confidence: 99%

Study on the Decomposition of Factors Affecting Energy-Related Carbon Emissions in Guangdong Province, China

2011

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“…Category II (engines up to 2.0 lt) and c. Category III (engines of more than 2.0 lt). It is considered that the distribution of current petrol vehicles is 65% of Category I, 33% of Category II and Category III of 2% (Papagiannaki et al, 2009).…”

Section: Lca Of Road Operationmentioning

confidence: 99%

A Holistic Approach for Estimating Carbon Emissions of Road and Rail Transport Systems

Dimoula

Kehagia

Anastasios

2016

Aerosol Air Qual. Res.

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Environmental issues have become of crucial importance in the transport sector. Transport is the second biggest greenhouse gas emitting sector after energy and is responsible for 25% of the EU's total emissions. The challenges posed by climate change have added to the urgency for developing low-carbon transportation. In this paper, estimation of greenhouse gas emissions was conducted over the construction and the operation of the main road and rail axes infrastructure in Greece. The objective of this analysis is to better understand the significance of these emissions and their possible influence on designing optimal routes in order to achieve long-term greenhouse gas reductions from transport. The present study shows that the environmental impact due to the highway construction is smaller than that of the railway construction. However, the railway system operation is more environmentally friendly than the highway operation.

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“…최근 LMDI 분해분석 방법론을 이용하여 에너지 소비나 온실가스 배출특성에 대한 연구가 활발히 진행(Kaivo-oja와 Luukkanen [6], Ang [7], Oh [8], Liu [9])되고 있다. 특히 Kwon [10]는 영국의 차량(car travel), Papagiannaki [11]는 그리스와 덴마크의 승용차(passenger cars), Mendiluce [12]는 스페인의 승용 및 화물 수송(passenger transport and freight)에 대해 분해분석을 하였다.…”

Section: 었다 하지만 기존 연구는 온실가스 배출량 산정 및 배출 계수 개발 등의 연구였고 배출 특성에 기반한 연구unclassified

LMDI Decomposition Analysis on Characteristics of Greenhouse Gas Emission from the Line of Railroad in Korea

Lee¹,

Lim²,

Kim³

et al. 2012

Journal of the Korean society for railway

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Korean government is enforcing 'Greenhouse gas target management' in order to achieve Greenhouse gas reduction target. To attain Greenhouse gas reduction target, companies in Korea must establish their GHG inventory system and analysis their GHG emissions characteristics for deduction of mitigation measures. LMDI(Log Mean Divisia Index) decomposition analysis is widely used to understand characteristics of GHG emission and energy consumption. In this paper, the characteristics of GHG emission from the line of railroad in Korea is respectively analyzed in terms of conversion effect, intensity effect, production effect and distance effect. Data of railroad GHG emission from 2000 to 2007 are used. As a result, total effect of railroad's GHG emission is 96,813tCO 2 eq. Production effect (39,865tCO 2 eq) and distance effect (327,923tCO 2 eq) affect increase of railroad GHG emissions while Conversion effect (-158,161tCO 2 eq) and intensity effect (-112,814tCO 2 eq) influence decrease of the emissions.

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Decomposition analysis of CO2 emissions from passenger cars: The cases of Greece and Denmark

Cited by 105 publications

References 27 publications

Study on the Decomposition of Factors Affecting Energy-Related Carbon Emissions in Guangdong Province, China

Study on the Decomposition of Factors Affecting Energy-Related Carbon Emissions in Guangdong Province, China

A Holistic Approach for Estimating Carbon Emissions of Road and Rail Transport Systems

LMDI Decomposition Analysis on Characteristics of Greenhouse Gas Emission from the Line of Railroad in Korea

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