Driving forces of Spain׳s CO2 emissions: A LMDI decomposition approach

Muñoz-Repiso, José Manuel Cansino; Sánchez-Braza, Antonio; Rodríguez-Arévalo, María L.

doi:10.1016/j.rser.2015.04.011

Cited by 229 publications

(91 citation statements)

References 55 publications

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“…Improvement in the energy efficiency of coal power generation and coal end-use combustion were the primary factors reducing coal consumption. Cansino et al (2015) also used the LMDI I to investigate the driving forces of Spain ‫׳‬ s CO 2 emissions. They found that renewable energy sources acted as a detriment to the drivers of CO 2 emissions.…”

Section: Introductionmentioning

confidence: 99%

Decomposition Analysis of CO2 Emissions from Coal - Sourced Electricity Production in South Africa

Beidari

Lin

Lewis

2017

Aerosol Air Qual. Res.

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In 2013, the electricity sector was the largest source of South Africa's CO 2 emissions, accounting for about 60% of its total. South Africa (SA) is one of the highest CO 2 emitters on a per capita basis when compared to many developed and developing countries. For a better understanding of the driving forces leading the electricity-related CO 2 emission per person, this paper applies the Log Mean Divisia Index (LMDI) to analyze the influence of the factors which ruled electricity generation-related CO 2 emission in SA over the period 1990-2013. We focused on coal which is the dominant fuel used in SA for electricity generation. The results show that the electricity generation intensity effect plays the dominant role in decreasing CO 2 emissions. However, the effect of economic activity is the major determinant that contributes to increasing CO 2 emissions. In order to reduce its greenhouse gas emissions levels, meet the agreement of the COP21 agreement, and fight against CO 2 emissions per-capita associated with electricity generation, it is recommended that SA's government should improve the efficiency of its existing electricity power generation plants and expand more of its renewable energy sources (nuclear included).

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Section: Introductionmentioning

confidence: 99%

Decomposition Analysis of CO2 Emissions from Coal - Sourced Electricity Production in South Africa

Beidari

Lin

Lewis

2017

Aerosol Air Qual. Res.

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“…For analyzing energy consumption or carbon emissions, SDA is often combined with the input-output model, and the Logarithmic Mean Divisia Index (LMDI) is most prominently used in the IDA (Cansino et al, 2015). Of all the decomposition factors (Table 3), economic development and increased energy consumption are the greatest drivers of carbon emissions, but with the advance of technology, the improvement of energy efficiency will become the most important factor in carbon emissions reductions.…”

Section: Methodsmentioning

confidence: 99%

Review on carbon emissions, energy consumption and low-carbon economy in China from a perspective of global climate change

Shen

Sun

2016

J. Geogr. Sci.

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Abstract:Accompanying the rapid growth of China's population and economy, energy consumption and carbon emission increased significantly from 1978 to 2012. China is now the largest energy consumer and CO 2 emitter of the world, leading to much interest in researches on the nexus between energy consumption, carbon emissions and low-carbon economy. This article presents the domestic Chinese studies on this hotpot issue, and we obtain the following findings. First, most research fields involve geography, ecology and resource economics, and research contents contained some analysis of current situation, factors decomposition, predictive analysis and the introduction of methods and models. Second, there exists an inverted "U-shaped" curve connection between carbon emission, energy consumption and economic development. Energy consumption in China will be in a low-speed growth after 2035 and it is expected to peak between 6.19-12.13 billion TCE in 2050. China's carbon emissions are expected to peak in 2035, or during 2020 to 2045, and the optimal range of carbon emissions is between 2.4-3.3 PgC/year (1 PgC=1 billion tons C) in 2050. Third, future research should be focused on global carbon trading, regional carbon flows, reforming the current energy structure, reducing energy consumption and innovating the low-carbon economic theory, as well as establishing a comprehensive theoretical system of energy consumption, carbon emissions and low-carbon economy.

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“…Cansino [74] Spain B20 Dong et al [75] China The CO 2 emission factor of electricity is considered to be zero.…”

Section: B1mentioning

confidence: 99%

LMDI Decomposition of Energy-Related CO2 Emissions Based on Energy and CO2 Allocation Sankey Diagrams: The Method and an Application to China

Chong

Zhang

et al. 2018

Sustainability

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This manuscript develops a logarithmic mean Divisia index I (LMDI) decomposition method based on energy and CO 2 allocation Sankey diagrams to analyze the contributions of various influencing factors to the growth of energy-related CO 2 emissions on a national level. Compared with previous methods, we can further consider the influences of energy supply efficiency. Two key parameters, the primary energy quantity converted factor (K PEQ ) and the primary carbon dioxide emission factor (K C ), were introduced to calculate the equilibrium data for the whole process of energy unitization and related CO 2 emissions. The data were used to map energy and CO 2 allocation Sankey diagrams. Based on these parameters, we built an LMDI method with a higher technical resolution and applied it to decompose the growth of energy-related CO 2 emissions in China from 2004 to 2014. The results indicate that GDP growth per capita is the main factor driving the growth of CO 2 emissions while the reduction of energy intensity, the improvement of energy supply efficiency, and the introduction of non-fossil fuels in heat and electricity generation slowed the growth of CO 2 emissions.

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Driving forces of Spain׳s CO2 emissions: A LMDI decomposition approach

Cited by 229 publications

References 55 publications

Decomposition Analysis of CO2 Emissions from Coal - Sourced Electricity Production in South Africa

Decomposition Analysis of CO2 Emissions from Coal - Sourced Electricity Production in South Africa

Review on carbon emissions, energy consumption and low-carbon economy in China from a perspective of global climate change

LMDI Decomposition of Energy-Related CO2 Emissions Based on Energy and CO2 Allocation Sankey Diagrams: The Method and an Application to China

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