Comparison of six decomposition methods: application to aggregate energy intensity for manufacturing in 10 OECD countries

Greening, Lorna A.; Davis, William B.; Schipper, Lee; Khrushch, Marta

doi:10.1016/s0140-9883(96)01028-6

Cited by 126 publications

(44 citation statements)

References 13 publications

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“…Manufacturing energy use in OECD countries (Greening et al 1997, Howarth et al 1991, Eichhammer and Mannsbart 1997and Unander et al 1999), although our structural effects in Finland, France and Italy are relatively high as compared to these studies. This might well be due to differences in data, period and decomposition method between the other studies and ours.…”

Section: Decomposing Energy-and Labour-productivity Growth Ratescontrasting

confidence: 51%

“…For recent applications, including cross-country comparisons, see Dollar and Wolff (1993), Fagerberg (2000). Cross-country decomposition analyses of energy use can be found, for example, in Morovic et al (1987Morovic et al ( , 1989, Greening et al (1997), Howarth et al (1991), Schipper and Meyers (1992), Park et al (1993), Eichhammer and Mannsbart (1997) and Unander et al (1999). From these studies, only and Schipper and Meyers (1992) include nonmanufacturing sectors, while with the exception of Fagerberg (2000) and Park et al (1993) all other studies focus on OECD countries.…”

Section: Decomposing Energy-and Labour-productivity Growth Ratesmentioning

confidence: 99%

See 1 more Smart Citation

International Comparisons of Sectoral Energy- and Labour-Productivity Performance: Stylised Facts and Decomposition of Trends

Mulder

Groot

2004

SSRN Journal

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Section: Decomposing Energy-and Labour-productivity Growth Ratescontrasting

confidence: 51%

Section: Decomposing Energy-and Labour-productivity Growth Ratesmentioning

confidence: 99%

International Comparisons of Sectoral Energy- and Labour-Productivity Performance: Stylised Facts and Decomposition of Trends

Mulder

Groot

2004

SSRN Journal

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“…Early studies mostly focused on the industrial energy consumption (Park et al 1993), while the recent trend has been to extend the analysis to an economy-wide level by appropriately combining sectoral and sub-sectoral data (Greening et al 1997;Ma & Stern 2008;Petchey 2010;Sandu & Petchey 2009). While the relative roles of the efficiency effect and structural effect are country specific (Greening et al 1997), the literature places emphasis on the efficiency effects in reducing energy intensity, especially in the advanced countries' cases (IEA 2004).…”

Section: Review Of Literaturementioning

confidence: 99%

Changes in energy efficiency in Australia: A decomposition of aggregate energy intensity using logarithmic mean Divisia approach

Shahiduzzaman

Alam

2013

Energy Policy

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This paper provides an empirical estimation of energy efficiency and other proximate factors that explain energy intensity in Australia for the period 1978-2009. The analysis is performed by decomposing the changes in energy intensity by means of energy efficiency, fuel mix and structural changes both at sectoral and sub-sectoral levels of the economy. Results show that the driving forces behind the decrease in energy intensity in Australia are efficiency effect and sectoral composition effect, where the former is found to be more prominent than the latter. Moreover, the favourable impact of the composition effect has been consistently slowed down in the recent past. A perfect positive association characterizes the relationship between energy intensity and carbon intensity in Australia. Given the trends in decomposition factors, it is necessary to boost energy efficiency further to reduce Australia's overall contribution to energy intensity and carbon emissions in the future.

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“…For recent applications, including cross-country comparisons, see Dollar and Wolff (1993), and Fagerberg (2000). Cross-country decomposition analyses of energy use can be found, for example, in Greening et al (1997), Howarth et al (1991), Schipper and Meyers (1992), Park et al (1993), Eichhammer and Mannsbart (1997) and Unander et al (1999). value added of our study lies in a simultaneous exploration of productivity performance along the two dimensions of energy and labour for 14 OECD countries over about 25 years.…”

mentioning

confidence: 91%

Decoupling Economic Growth and Energy Use: An Empirical Cross-Country Analysis for 10 Manufacturing Sectors

Mulder

Groot

2004

SSRN Journal

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This paper provides an empirical analysis of decoupling economic growth and energy use and its various determinants by exploring trends in energy-and labour productivity across 10 manufacturing sectors and 14 OECD countries for the period 1970-1997. We explicitly aim to trace back aggregate developments in the manufacturing sector to developments at the level of individual subsectors. A cross-country decomposition analysis reveals that in some countries structural changes contributed considerably to aggregate manufacturing energyproductivity growth and, hence, to decoupling, while in other countries they partly offset energy-efficiency improvements. In contrast, structural changes only play a minor role in explaining aggregate manufacturing labour-productivity developments. Furthermore, we find labour-productivity growth to be higher on average than energy-productivity growth. Over time, this bias towards labour-productivity growth is increasing in the aggregate manufacturing sector, while it is decreasing in most manufacturing subsectors.

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Comparison of six decomposition methods: application to aggregate energy intensity for manufacturing in 10 OECD countries

Cited by 126 publications

References 13 publications

International Comparisons of Sectoral Energy- and Labour-Productivity Performance: Stylised Facts and Decomposition of Trends

International Comparisons of Sectoral Energy- and Labour-Productivity Performance: Stylised Facts and Decomposition of Trends

Changes in energy efficiency in Australia: A decomposition of aggregate energy intensity using logarithmic mean Divisia approach

Decoupling Economic Growth and Energy Use: An Empirical Cross-Country Analysis for 10 Manufacturing Sectors

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