전력산업의 온실가스 배출요인 분석 및 감축 방안 연구Decomposition Analysis of CO2 Emissions of the Electricity Generation Sector in Korea using a Logarithmic Mean Divisia Index Method
- Other Titles
- Decomposition Analysis of CO2 Emissions of the Electricity Generation Sector in Korea using a Logarithmic Mean Divisia Index Method
- Authors
- 조용성
- Issue Date
- 2017
- Publisher
- 한국기후변화학회
- Keywords
- CO2 Emissions; Electricity Generation; Electricity Production; LMDI
- Citation
- 한국기후변화학회지, v.8, no.4, pp.357 - 367
- Indexed
- KCI
OTHER
- Journal Title
- 한국기후변화학회지
- Volume
- 8
- Number
- 4
- Start Page
- 357
- End Page
- 367
- URI
- https://scholar.korea.ac.kr/handle/2021.sw.korea/85850
- DOI
- 10.15531/KSCCR.2017.8.4.357
- ISSN
- 2093-5919
- Abstract
- Electricity generation in Korea mainly depends on thermal power and nuclear power. Especially the coal power has led to the increase in CO2 emissions. This paper intends to analyze the current status of CO2 emissions from electricity generation in Korea during the period 1990∼2016, and apply the logarithmic mean Divisia index (LMDI) technique to find the nature of the factors influencing the changes in CO2 emissions. The main results as follows: first, CO2 emission from electricity generation has increased by 165.9 MtCO2 during the period of analysis. Coal products is the main fuel type for thermal power generation, which accounts about 73% CO2 emissions from electricity generation. Secondly, the increase of real GDP is the most important contributor to increase CO2 emissions from electricity generation. The carbon intensity and the electricity intensity also affected the increase in CO2 emission, but the energy intensity effect and the dependency of thermal power effect play the dominant role in decreasing CO2 emissions.
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Collections - College of Life Sciences and Biotechnology > Department of Food and Resource Economics > 1. Journal Articles
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