Decomposition Analysis of CO₂ Emissions of the Electricity Generation Sector in Korea using a Logarithmic Mean Divisia Index Method

2017 ◽  
Vol 8 (4) ◽  
pp. 357-367
Author(s):  
Yongsung Cho
Keyword(s):  
Electricity Generation ◽  
Decomposition Analysis ◽  
Logarithmic Mean ◽  
Index Method ◽  
Divisia Index

Analysis on the Influence Factors of CO2 Emission in France - Based on LMDI Approach

2012 ◽  
Vol 616-618 ◽  
pp. 1537-1540 ◽  
Author(s):  
Shuo Wang
Keyword(s):  
Energy Use ◽  
Influence Factors ◽  
Energy Structure ◽  
Carbon Density ◽  
Logarithmic Mean ◽  
Index Method ◽  
Divisia Index ◽  
Structure Problem

This article uses Logarithmic Mean Divisia Index Method (LMDI) to analyze influence factors of emission in France during last 50 years, including energy use, GDP, carbon density, energy structure and population. Energy structure problem is proposed at the end of the article.

Factor decomposition of Chinese GHG emission intensity based on the Logarithmic Mean Divisia Index method

2014 ◽  
Vol 5 (5-6) ◽  
pp. 579-586 ◽  
Author(s):  
Jianyi Lin ◽  
Yuan Liu ◽  
Yuanchao Hu ◽  
Shenghui Cui ◽  
Shengnan Zhao
Keyword(s):  
Emission Intensity ◽  
Ghg Emission ◽  
Logarithmic Mean ◽  
Index Method ◽  
Divisia Index ◽  
Factor Decomposition

Using a new generalized LMDI (logarithmic mean Divisia index) method to analyze China's energy consumption

Energy ◽  
2014 ◽  
Vol 67 ◽  
pp. 617-622 ◽  
Author(s):  
Wenwen Wang ◽  
Xiao Liu ◽  
Ming Zhang ◽  
Xuefeng Song
Keyword(s):  
Energy Consumption ◽  
Logarithmic Mean ◽  
Index Method ◽  
Divisia Index

scholarly journals Decomposition Analysis of CO2 Emission from Electricity Generation: Comparison of OECD Countries before and after the Financial Crisis

Energies ◽  
2020 ◽  
Vol 13 (14) ◽  
pp. 3522 ◽  
Author(s):  
Haein Kim ◽  
Minsang Kim ◽  
Hyunggeun Kim ◽  
Sangkyu Park
Keyword(s):  
South Korea ◽  
Co2 Emission ◽  
Electricity Generation ◽  
Carbon Emission ◽  
Decomposition Analysis ◽  
Co2 Reduction ◽  
Oecd Countries ◽  
Thermal Generation ◽  
Index Method ◽  
Electricity Intensity

The purpose of this study is to analyze the factors that affect CO2 emissions in the electricity generation sector in 36 OECD countries during the periods 1995–2008 and 2008–2017. This paper utilized Logarithmic Mean Divisia Index method for decomposing CO2 emission into economic activity, electricity intensity that represents demand policy effort, the share of thermal generation, the mix of thermal generation, thermal efficiency that represent supply policy efforts, and carbon emission coefficient. The results showed that EU nations achieved a higher level of CO2 reduction compared to that of non-EU nations. Regarding the policy factors, the decrease in the share of thermal generation served as the key driver, followed by the decrease in electricity intensity via improvements in energy consumption efficiency. Most non-EU countries such as South Korea, Chile, Mexico, Turkey, and Japan demonstrated an increasing trend of carbon emission during this period, which could be attributed to the changes in the generation mix on the supply side or the electricity intensity on the demand side. Increase in electricity price was confirmed to cause lower electricity intensity. South Korea had the largest amount of carbon emission among OECD countries and maintained one of the lowest electricity retail prices among OECD countries.

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