Index decomposition analysis of energy consumption and carbon emissions: some methodological issues

Abstract

Index decomposition analysis (IDA) has been one of the most popular analytical tools for studying energy consumption and carbon emissions during the past three decades. Using this technique, a considerable number of empirical studies have been reported. With the improvement in data quality, its application has been extended in many different ways. Studies on relevant methodological issues regarding these extensions, however, seem to be inadequate. This thesis thus aims to study these issues and propose possible improvements and extensions of IDA from both methodological and application viewpoints.