Korean Energy Economic Review ISSN:1599-7057(Print) 에너지경제연구

This paper analyzes a factor decomposition of GHG emissions in domestic electricity generations sector using LMDI(Log Mean Divisia Index) method. These factors are divided into six factors: population effect, electricity intensity effect, electricity generation mix effect Ⅰ(generation mix effect by total fossil fuel generation ratio), power generation mix effect Ⅱ(generation mix effect among fossil fuels), electricity generation efficiency effect, and emission factor effect. The analysis period covers the last 6 years from 2010 to 2015. The results show that the power intensity effect is the biggest factor in the increase of GHG emissions of domestic electricity generation sector, followed by the population effect. The other factors influenced greenhouse gas reduction in the order of power generation efficiency effect, power generation mix effect Ⅱ, and power generation mix effect Ⅰ. These differences mainly result from the combination of emission trading system, RPS, greenhouse gas and energy target management system. In particular, the effect of temporary suspension of nuclear power plants was a major factor in the change in 2013.