We introduce a decomposition method for factorizing changes in energy demand or gas emissions over time. This method has the advantage of giving perfect decomposition. It can also handle cases with zero values in the data set. We compare this new method with three existing methods and summarize...

Through energy input–output (E-IO) analyses from 1985 to 2005, the changes in three factors affecting GHG emissions in South Korea were analyzed. Based on the E-IO results, the changes in the direct and total (embodied) GHG emissions from the pertinent sectors were decomposed into three...

In this paper we extend the methodology of index decomposition analysis (IDA) in energy studies by quantifying the contribution of individual attributes to the percent change of factors such as the real energy intensity index and structural change index. We apply the proposed method to the real...

Since improved thermal efficiency reduces capacity requirements and energy costs, electricity producers often treat thermal efficiency as a measure of management or economic performance. The conventional measure of the thermal efficiency of a fossil-fuel generation system is the ratio of total...

This paper investigates herding behavior and the connection between herding behavior and investor sentiment. We apply a Cross-Sectional Absolute Deviation (CSAD) approach and the quantile regression method to capture herding behavior in the KOSPI and KOSDAQ stock markets. The analysis results...

Several methods for decomposing energy consumption or energy-induced gas emissions in industry have been proposed by various analysts. Two commonly encountered problems in the application of these methods are the existence of a residual after decomposition and the handling of the value zero In...