The energy consumption of Korea’s manufacturing sector has sharply increased over the past 20 years. This paper decomposes the factors influencing energy consumption in this sector using the logarithmic mean Divisia index (LMDI) method and analyzes the specific characteristics of energy consumption from 1991 to 2011. The analysis reveals that the activity effect played a major role in increasin...

Since the reform and opening-up, under new economic situation policy, rapid growth of power demand in Beijing is threatening sustainable development China’s economy environment. To recognize driving factors electricity consumption offer policy implications, based on data consumption, Gross Domestic Product (GDP) resident population from 1990 to 2021, this research used Kaya-equation logarithmic...

Public buildings, with the increasing level of energy consumption, are a key area conservation and emission reduction in China’s construction industry. In order to reduce carbon emissions public realize targets reduction, LMDI method is used construct building macrocarbon factor decomposition model, identify main driving factors affecting change from build system dynamics model based on results...

Emissions of sulfur dioxide (SO(2)) from the U.S. power sector decreased by 24% in 2009 relative to 2008. The Logarithmic Mean Divisia Index (LMDI) approach was applied to isolate the factors responsible for this decrease. It is concluded that 15% of the decrease can be attributed to the drop in demand for electricity triggered by the economic recession, and 28% can be attributed to switching o...