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http://dx.doi.org/10.7782/JKSR.2012.15.3.286

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

Lee, Jae-Hyung (카이트엔지니어링 환경리스크팀)
Lim, Jee-Jae (카이트엔지니어링 환경리스크팀)
Kim, Yong-Ki (한국철도기술연구원 융복합연구단)
Lee, Jae-Young (한국철도기술연구원 에코시스템연구실)
Publication Information
Journal of the Korean Society for Railway / v.15, no.3, 2012 , pp. 286-293 More about this Journal
Abstract
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 $96,813tCO_2eq$. Production effect ($39,865tCO_2eq$) and distance effect ($327,923tCO_2eq$) affect increase of railroad GHG emissions while Conversion effect ($-158,161tCO_2eq$) and intensity effect ($-112,814tCO_2eq$) influence decrease of the emissions.
Keywords
Climate Change; Decomposition Analysis; Log-Mean Divisia Index(LMDI); Railroad;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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