A structural decomposition analysis of global energy footprints

Lv, Jun; Malik, Arunima; Lenzen, Manfred; McBain, Darian; Kanemoto, Keiichiro

doi:10.1016/j.apenergy.2015.10.178

Cited by 228 publications

(95 citation statements)

References 70 publications

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“…Broadly speaking, SDA breaks down observed changes in a physical variable (e.g., water use) over time, into the changes in its key determinants, which can act as accelerators or retardants. SDA has become a widely accepted analytical tool to evaluate the drivers of change for a number of environmental indicators: for instance greenhouse gas emissions (Arto & Dietzenbacher, ; Malik & Lan, ), energy footprint (Lan et al, ), and nitrogen water pollution (Wan et al, ).…”

Section: Introductionmentioning

confidence: 99%

Socioeconomic Drivers of Global Blue Water Use

Soligno

Malik

Lenzen

2019

Water Resources Research

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The recent intensification of international trade has led to a growing disconnection between consumer demand for goods and services and the water resources that support them. The important role of household demands on the exploitation of distant freshwater resources is widely recognized, yet the different socioeconomic drivers underlying the trends in domestic and foreign water use remain poorly quantified. In this work, the main mechanisms governing the exploitation of domestic and foreign freshwater resources are quantified by undertaking a structural decomposition analysis over the period 1994–2010 in 186 countries. Our results show that growth in affluence has been the main determinant of rising water consumption trends worldwide. There are indications that consumers in developed countries tend to increase their affluence by intensifying the use of foreign water resources. Conversely, affluence growth in developing regions seems to rely on the exploitation of local water resources revealing a significant imbalance among economies. The growth of affluence and population has been only partially offset by improvements in the intensity of blue water use by producers and, to a lesser extent, by changes in the interdependences among sectors.

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Section: Introductionmentioning

confidence: 99%

Socioeconomic Drivers of Global Blue Water Use

Soligno

Malik

Lenzen

2019

Water Resources Research

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“…Numerous studies have been conducted on consumption-based emissions (e.g. CO 2 emissions , Lan et al 2016, rare metal consumption (Nansai et Shigetomi et al 2015) and nitrogen circulation (Oita et al 2016)). Koh et al (2016) analysed the consumption-based emission amount of chemical substances, although they did not clearly consider the toxicity of the chemical substances.…”

Section: Introductionmentioning

confidence: 99%

Decomposition of toxicity emission changes on the demand and supply sides: empirical study of the US industrial sector

Fujii

Okamoto

Kagawa

et al. 2017

Environ. Res. Lett.

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This study investigated the changes in the toxicity of chemical emissions from the US industrial sector over the 1998-2009 period. Specifically, we employed a multiregional input-output analysis framework and integrated a supply-side index decomposition analysis (IDA) with a demand-side structural decomposition analysis (SDA) to clarify the main drivers of changes in the toxicity of production-and consumption-based chemical emissions. The results showed that toxic emissions from the US industrial sector decreased by 83% over the studied period because of pollution abatement efforts adopted by US industries. A variety of pollution abatement efforts were used by different industries, and cleaner production in the mining sector and the use of alternative materials in the manufacture of transportation equipment represented the most important efforts.

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“…Interestingly, the technology effect is negligible, because an initial reduction in Brazil's energy intensity reverted into an increase after 1980, driven by increasing demand for energy-intensive products by Brazil's developing middle class. Further atypical energy SDA examples are Russia and Japan in the analysis by Lan et al (2016), where the economic collapse of the post-Soviet states and Japan's Heisei recession are clearly discernible in the final demand-level effect. Lan et al (2016) completed the first comprehensive energy SDA of the entire world, distinguishing more than 180 countries, and separating domestic and trade effects.…”

Section: Energymentioning

confidence: 99%

“…Further atypical energy SDA examples are Russia and Japan in the analysis by Lan et al (2016), where the economic collapse of the post-Soviet states and Japan's Heisei recession are clearly discernible in the final demand-level effect. Lan et al (2016) completed the first comprehensive energy SDA of the entire world, distinguishing more than 180 countries, and separating domestic and trade effects. They present a typology of SDA results, characterising a range from resource-rich developing countries with strongly growing domestic energy footprints and negligible rest-ofworld footprints, to resource-poor developed countries with domestic energy footprints decreasing at the cost of growing energy embodiments in imports.…”

Section: Energymentioning

confidence: 99%