Elsevier

Ecological Economics

Volume 93, September 2013, Pages 313-329
Ecological Economics

Surveys
Index decomposition analysis applied to CO2 emission studies

https://doi.org/10.1016/j.ecolecon.2013.06.007Get rights and content

Abstract

Index decomposition analysis (IDA) was first extended from energy consumption to energy-related CO2 emission studies in 1991. Since then many studies have been reported covering various countries and emission sectors. However, unlike the case of energy consumption studies, a comprehensive literature survey that focuses specifically on emission studies has so far not been reported. In this paper, we attempt to fill this gap by reviewing 80 papers appearing in peer-reviewed journals from 1991 to 2012 in this application area. The first part of this paper deals with the developments with regard to the IDA approaches used by researchers, and the scope and focus of their studies. In the second part, the empirical results reported in the surveyed studies are analyzed, consolidated, and presented by emission sector. The objective is to reveal the relative contributions of key effects on changes in the aggregate carbon intensity, and this is done by emission sector and by country. The findings of both parts are useful in understanding the development of IDA in the application area of emission study, as well as the key drivers of aggregate carbon intensities in the past and their possible future developments.

Introduction

Index decomposition analysis (IDA) has been widely used in studies dealing with energy consumption since around 1980. In many of these studies, the focus is to quantify drivers behind changes in an aggregate of interest, such as energy consumption or the aggregate energy intensity of a particular sector. The drivers of interest include the well-known activity structure change and energy intensity change. Over the years several hundred peer-reviewed journal papers have been published in this topic. Different IDA methods or ways of accounting were adopted by researchers in the 1980s and 1990s. Convergence took place in the 2000s and the approach now used by researchers is fairly standard. Relevant literature review can be found in Ang and Zhang (2000), Ang (2004), Liu and Ang (2007), and Ang et al. (2009).

The original impetus behind IDA studies was linked mainly to energy efficiency, and indirectly to energy security, in the aftermath of world oil crises in the 1970s. In this aspect, there was little change until around 1990. After 1990, with climate change and greenhouse gas (GHG) emissions becoming a global issue, IDA has been extended to study GHG emissions and in particular energy-related CO2 emissions. In some recent years, there were actually more IDA studies, such as in peer-reviewed journal papers, that deal with carbon emissions than with energy consumption. However no comprehensive literature survey on emission studies similar to that for energy has so far been reported since the study by Ang and Zhang (2000).1 One of the objectives of this paper is to fill this gap. In this study, a literature survey is conducted and the findings are presented from 2 Main Features and Developments, 3 Methodological Issues, 4 Compilation of Decomposition Cases. A specific area of interest is the differences between emission studies and energy studies in both the methodological and application fronts.

Another objective is to analyze the empirical results reported in previous emission studies, in particular the relative contributions of the effects of the defined factors in the IDA identity. Essentially, this means identifying the key drivers behind changes in the aggregate CO2 emissions or intensity, and studying their relative importance. The study will cover different emission sectors and countries, with and without temporal changes taken into account. The results are compared and the findings are presented from 5 Drivers of Carbon Intensity Change: Non-Temporal Features, 6 Drivers of Carbon Intensity Change: Temporal Features, 7 The Electricity Generation Sector. Of particular interest are whether there were similar features or developments among sectors and among countries, and whether there were variations over time for a specific sector in a country or among countries. The findings will have implications on how emissions will evolve in future in general, such as for economies at different stages of development. The study covers economy-wide CO2 emissions, emissions for four final energy consumption sectors (industry, transportation, residential, and service), and emissions from the electricity generation sector. We make extensive use of the information and findings reported in the literature. These are mostly unrelated studies and an attempt is made to reconcile the decomposition results and present them in a meaningful manner. This, to some extent, dictates how the surveyed results are compiled, analysed and presented. Finally, Section 8 concludes.

Section snippets

Main Features and Developments

In energy consumption studies, application of the conventional 3-factor IDA identity leads to three effects, namely the activity, structure, and intensity effects. In energy-related CO2 emission studies, more effects are included as the aggregate emissions are dependent on the fuel mix in energy consumption. In a study of changes in industrial CO2 emissions in nine OECD countries, Torvanger (1991) extended the conventional 3-factor IDA identity to a 5-factor identity by considering five

Methodological Issues

We look into the emission IDA identities, both the conventional ones and their extensions for specific applications, as reported in the literature. Assume that an aggregate such as the CO2 emissions of a sector is divided into a number of sub-categories such as sub-sectors.6 Let C be the aggregate emissions and Ci be the emissions from sub-category i, A be the aggregate activity level, Si (= Ai / A) be the

Compilation of Decomposition Cases

The studies in Table A.1 include a large number of decomposition cases. The decomposition results in these cases are derived and presented differently among the studies. We now describe how we select and compile these decomposition cases to create a database. The database then provides the basis for the analyses in 5 Drivers of Carbon Intensity Change: Non-Temporal Features, 6 Drivers of Carbon Intensity Change: Temporal Features, 7 The Electricity Generation Sector, namely comparing the

Drivers of Carbon Intensity Change: Non-Temporal Features

From the foregoing, the decomposition results compiled are analyzed, classified and presented from Table 1, Table 2, Table 2, Table 3, Table 4 by sector.9 In each table, the cases are given by country. The countries are divided into two groups, where Group A comprises mainly the industrial countries and Group B the developing countries. They are arranged in descending order according to their 1990 per capita GDP.10

Drivers of Carbon Intensity Change: Temporal Features

Section 5 does not look into possible temporal changes. To study this specific aspect by sector, we construct and apply a two-dimensional plot as shown in Fig. 6. The X-axis captures the energy intensity effect while the Y-axis the carbon factor effect. The two boxes capture the activity structure effect, where the inner box indicates an activity structure change that results in a decrease, and the outer box an increase, in the aggregate carbon intensity. The plot is therefore divided into

The Electricity Generation Sector

As pointed out earlier, the electricity generation sector has attracted special interest in emission IDA studies. Treating it as a source of emissions, the sector accounted for 41% of global energy-related CO2 emissions in 2010 (IEA, 2012). The IDA decomposition identity for the sector is different from that for other sectors and it therefore deserves special attention. The various identities that have been reported in the literature for the sector can be consolidated into a standard form in

Conclusions

Index decomposition analysis applied to CO2 emissions is an extension of that applied to energy. The number of such emission studies has increased rapidly since the first study was reported in 1991. Our literature survey, which includes 80 journal publications, reveals the developments in IDA models and methods, as well as findings, in this IDA application area. The publications reviewed cover all major sectors of emissions and a wide spectrum of countries. From the survey, it can be concluded

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