The Experts below are selected from a list of 256437 Experts worldwide ranked by ideXlab platform
B W Ang - One of the best experts on this subject based on the ideXlab platform.
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attribution of changes in divisia real Energy Intensity index an extension to index decomposition analysis
Energy Economics, 2012Co-Authors: Kihong Choi, B W AngAbstract:Abstract 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 Energy Intensity index in the multiplicative Logarithmic Mean Divisia Index (M-LMDI) approach, a major IDA technique. Since the M-LMDI is based on geometric mean type indices and chain computation, we need some appropriate method to cope with the difficulties that arise. We present a numerical illustration of the proposed method using the Energy consumption and real value added data of the US manufacturing industry, and compare the results obtained by the Fisher real Energy Intensity index.
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factors shaping aggregate Energy Intensity trend for industry Energy Intensity versus product mix
Energy Economics, 2007Co-Authors: Na Liu, B W AngAbstract:Understanding the mechanisms of change of Energy consumption in industry has attracted much attention since the 1973 world oil crisis. A popular line of research has been to decompose changes in the aggregate Energy Intensity of industry to give the relative impacts arising from Energy Intensity change and product-mix change using a decomposition technique. Many empirical studies covering a large number of countries have been reported. The main objective of this paper is to put together the empirical results reported in these studies in a coherent framework and identify possible systematic features. Of particular interest are the basic trends in this line of research, the relative importance of Energy Intensity change and product-mix change, possible variations over time and between country groups in the Energy impacts of these changes, and inconsistencies in findings among studies. An overview of the decomposition technique, including its strengths, weaknesses, and role in industrial Energy consumption studies, is also presented.
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eight methods for decomposing the aggregate Energy Intensity of industry
Applied Energy, 2003Co-Authors: F L Liu, B W AngAbstract:Since the early 1980s, the decomposition technique has been widely used in industrial Energy analysis and for Energy-policy evaluation. We describe eight different methods for decomposing the aggregate Energy Intensity of industry into the impacts associated with changes in industrial production structure and sectoral Energy Intensity. These eight methods, derived from economic index numbers, include two methods that are often used by researchers and three methods that are proposed for the first time. We show the linkages between index numbers and decomposition methods, which would assist analysts in method selection when undertaking decomposition studies. A simple example is presented to illustrate the characteristics of the eight methods.
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decomposition of aggregate Energy Intensity of industry with application to china korea and taiwan
Energy & Environment, 1997Co-Authors: B W AngAbstract:There have been significant decreases in the aggregate Energy Intensity of industry in China, Korea and Taiwan since 1980. We decompose changes in this often-used Energy performance indicator into contributions associated with industry product mix and sectoral Energy Intensity. In all cases, the results obtained show a large effect of changes in sectoral Energy Intensity and a relatively smaller effect of changes in product mix. We further decompose the sectoral Energy Intensity effect to identify the impact of fuel substitution. It is concluded that decreases in the aggregate Energy Intensity of industry in the three economies were due primarily to improvements in fuel use efficiency.
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decomposition of industrial Energy consumption the Energy Intensity approach
Energy Economics, 1994Co-Authors: B W AngAbstract:Abstract Two recent papers have dealt with several methodological and application issues related to the technique of decomposing changes in industrial Energy consumption. In this paper, we examine these issues in the context of another commonly adopted approach to decomposition, ie decomposing changes in aggregate Energy Intensity for industry. The scope of our study includes two general parametric Divisia methods, a unified decomposition framework, five specific decomposition methods and method selection in actual application. We show that decomposition can be done in an infinite number of ways and some previously proposed decomposition methods using the Energy Intensity approach are special cases of the two general parametric Divisia methods. We also compare the Energy Intensity approach with the Energy consumption approach to decomposition in actual application. Results of application studies using Singapore and Taiwan data are presented to illustrate the issues raised.
Xunpeng Shi - One of the best experts on this subject based on the ideXlab platform.
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intangible capital and sectoral Energy Intensity evidence from 40 economies between 1995 and 2007
Energy Policy, 2018Co-Authors: Shenglang Yang, Xunpeng ShiAbstract:Abstract Intangible capital has been found to be an increasingly important source of productivity and economic growth. However, its effects on Energy Intensity have received little attention. Given the importance of reducing Energy Intensity, this study advances the understanding of the relationship between intangible capital and sectoral Energy Intensity by taking advantage of a rich dataset of 40 economies derived from the World Input-Output Database (WIOD), spanning across 13 years (1995–2007). A relatively robust causal relationship between intangible capital and sectoral Energy Intensity has been identified. The qualitative and quantitative interactions of this relationship with income level and sectoral heterogeneity have also been revealed. It is found that the effect of intangible capital on reducing sectoral Energy Intensity generally diminishes along with increasing income level but a moderate quadratic relationship is identified in some types of intangible capital. Finally, sectors where intangible capital have the largest and smallest effect are also pinpointed.
Henri L.f. De Groot - One of the best experts on this subject based on the ideXlab platform.
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Structural Change and Convergence of Energy Intensity across OECD Countries, 1970-2005
2012Co-Authors: Peter Mulder, Henri L.f. De GrootAbstract:This paper uses a new dataset derived from a consistent framework of national accounts to compute and evaluate Energy Intensity developments across 18 OECD countries and 50 sectors over the period 1970-2005. We find that across countries Energy Intensity levels tend to increase in a fairly wide range of Services subsectors, but decrease in most Manufacturing sectors. A decomposition analysis reveals that changes in the sectoral composition of the economy explain a considerable and increasing part of aggregate Energy Intensity dynamics. A convergence analysis reveals that only after 1995 cross-country variation in aggregate Energy Intensity levels clearly tends to decrease, driven by a strong and robust trend break in Manufacturing and enhanced convergence in Services. Moreover, we find evidence for the hypothesis that across sectors lagging countries are catching-up with leading countries, with rates of convergence on average being higher in Services than in Manufacturing. Aggregate convergence patterns are almost exclusively caused by convergence of within-sector Energy Intensity levels, and not by convergence of the sectoral composition of economies. This discussion paper led to a publication in Energy Economics .
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Structural Change and Convergence of Energy Intensity across OECD Countries, 1970-2005
Energy Economics, 2012Co-Authors: Peter Mulder, Henri L.f. De GrootAbstract:Abstract This paper uses new and unique data derived from a consistent framework of national accounts to compute and evaluate Energy Intensity developments across 18 OECD countries and 50 sectors over the period 1970–2005. We find that across countries Energy Intensity levels tend to decrease in most Manufacturing sectors. In the Service sector, Energy Intensity decreases at a relatively slow rate, with diverse trends across sub-sectors. A decomposition analysis reveals that changes in the sectoral composition of the economy explain a considerable and increasing part of aggregate Energy Intensity dynamics. A convergence analysis reveals that only after 1995 cross-country variation in aggregate Energy Intensity levels clearly tends to decrease, driven by a strong and robust trend break in Manufacturing and enhanced convergence in Services. Moreover, we find evidence for the hypothesis that across sectors lagging countries are catching-up with leading countries, with rates of convergence that are on average higher in Services than in Manufacturing. Aggregate convergence patterns are almost exclusively caused by convergence of within-sector Energy Intensity levels, and not by convergence of the sectoral composition of economies.
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structural change and convergence of Energy Intensity across oecd countries
Energy Economics, 2012Co-Authors: Henri L.f. De Groot, Peter MulderAbstract:This paper uses new and unique data derived from a consistent framework of national accounts to compute and evaluate Energy Intensity developments across 18 OECD countries and 50 sectors over the period 1970-2005. We find that across countries Energy Intensity levels tend to decrease in most Manufacturing sectors. In the Service sector, Energy Intensity decreases at a relatively slow rate, with diverse trends across sub-sectors. A decomposition analysis reveals that changes in the sectoral composition of the economy explain a considerable and increasing part of aggregate Energy Intensity dynamics. A convergence analysis reveals that only after 1995 cross-country variation in aggregate Energy Intensity levels clearly tends to decrease, driven by a strong and robust trend break in Manufacturing and enhanced convergence in Services. Moreover, we find evidence for the hypothesis that across sectors lagging countries are catching-up with leading countries, with rates of convergence that are on average higher in Services than in Manufacturing. Aggregate convergence patterns are almost exclusively caused by convergence of within-sector Energy Intensity levels, and not by convergence of the sectoral composition of economies. © 2012 Elsevier B.V.
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Structural Change and Convergence of Energy Intensity Across OECD Countries, 1970-2005
SSRN Electronic Journal, 2012Co-Authors: Peter Mulder, Henri L.f. De GrootAbstract:This paper uses a new dataset derived from a consistent framework of national accounts to compute and evaluate Energy Intensity developments across 18 OECD countries and 50 sectors over the period 1970-2005. We find that across countries Energy Intensity levels tend to increase in a fairly wide range of Services subsectors, but decrease in most Manufacturing sectors. A decomposition analysis reveals that changes in the sectoral composition of the economy explain a considerable and increasing part of aggregate Energy Intensity dynamics. A convergence analysis reveals that only after 1995 cross-country variation in aggregate Energy Intensity levels clearly tends to decrease, driven by a strong and robust trend break in Manufacturing and enhanced convergence in Services. Moreover, we find evidence for the hypothesis that across sectors lagging countries are catching-up with leading countries, with rates of convergence on average being higher in Services than in Manufacturing. Aggregate convergence patterns are almost exclusively caused by convergence of within-sector Energy Intensity levels, and not by convergence of the sectoral composition of economies.
Peter Mulder - One of the best experts on this subject based on the ideXlab platform.
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Structural Change and Convergence of Energy Intensity across OECD Countries, 1970-2005
2012Co-Authors: Peter Mulder, Henri L.f. De GrootAbstract:This paper uses a new dataset derived from a consistent framework of national accounts to compute and evaluate Energy Intensity developments across 18 OECD countries and 50 sectors over the period 1970-2005. We find that across countries Energy Intensity levels tend to increase in a fairly wide range of Services subsectors, but decrease in most Manufacturing sectors. A decomposition analysis reveals that changes in the sectoral composition of the economy explain a considerable and increasing part of aggregate Energy Intensity dynamics. A convergence analysis reveals that only after 1995 cross-country variation in aggregate Energy Intensity levels clearly tends to decrease, driven by a strong and robust trend break in Manufacturing and enhanced convergence in Services. Moreover, we find evidence for the hypothesis that across sectors lagging countries are catching-up with leading countries, with rates of convergence on average being higher in Services than in Manufacturing. Aggregate convergence patterns are almost exclusively caused by convergence of within-sector Energy Intensity levels, and not by convergence of the sectoral composition of economies. This discussion paper led to a publication in Energy Economics .
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Structural Change and Convergence of Energy Intensity across OECD Countries, 1970-2005
Energy Economics, 2012Co-Authors: Peter Mulder, Henri L.f. De GrootAbstract:Abstract This paper uses new and unique data derived from a consistent framework of national accounts to compute and evaluate Energy Intensity developments across 18 OECD countries and 50 sectors over the period 1970–2005. We find that across countries Energy Intensity levels tend to decrease in most Manufacturing sectors. In the Service sector, Energy Intensity decreases at a relatively slow rate, with diverse trends across sub-sectors. A decomposition analysis reveals that changes in the sectoral composition of the economy explain a considerable and increasing part of aggregate Energy Intensity dynamics. A convergence analysis reveals that only after 1995 cross-country variation in aggregate Energy Intensity levels clearly tends to decrease, driven by a strong and robust trend break in Manufacturing and enhanced convergence in Services. Moreover, we find evidence for the hypothesis that across sectors lagging countries are catching-up with leading countries, with rates of convergence that are on average higher in Services than in Manufacturing. Aggregate convergence patterns are almost exclusively caused by convergence of within-sector Energy Intensity levels, and not by convergence of the sectoral composition of economies.
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structural change and convergence of Energy Intensity across oecd countries
Energy Economics, 2012Co-Authors: Henri L.f. De Groot, Peter MulderAbstract:This paper uses new and unique data derived from a consistent framework of national accounts to compute and evaluate Energy Intensity developments across 18 OECD countries and 50 sectors over the period 1970-2005. We find that across countries Energy Intensity levels tend to decrease in most Manufacturing sectors. In the Service sector, Energy Intensity decreases at a relatively slow rate, with diverse trends across sub-sectors. A decomposition analysis reveals that changes in the sectoral composition of the economy explain a considerable and increasing part of aggregate Energy Intensity dynamics. A convergence analysis reveals that only after 1995 cross-country variation in aggregate Energy Intensity levels clearly tends to decrease, driven by a strong and robust trend break in Manufacturing and enhanced convergence in Services. Moreover, we find evidence for the hypothesis that across sectors lagging countries are catching-up with leading countries, with rates of convergence that are on average higher in Services than in Manufacturing. Aggregate convergence patterns are almost exclusively caused by convergence of within-sector Energy Intensity levels, and not by convergence of the sectoral composition of economies. © 2012 Elsevier B.V.
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Structural Change and Convergence of Energy Intensity Across OECD Countries, 1970-2005
SSRN Electronic Journal, 2012Co-Authors: Peter Mulder, Henri L.f. De GrootAbstract:This paper uses a new dataset derived from a consistent framework of national accounts to compute and evaluate Energy Intensity developments across 18 OECD countries and 50 sectors over the period 1970-2005. We find that across countries Energy Intensity levels tend to increase in a fairly wide range of Services subsectors, but decrease in most Manufacturing sectors. A decomposition analysis reveals that changes in the sectoral composition of the economy explain a considerable and increasing part of aggregate Energy Intensity dynamics. A convergence analysis reveals that only after 1995 cross-country variation in aggregate Energy Intensity levels clearly tends to decrease, driven by a strong and robust trend break in Manufacturing and enhanced convergence in Services. Moreover, we find evidence for the hypothesis that across sectors lagging countries are catching-up with leading countries, with rates of convergence on average being higher in Services than in Manufacturing. Aggregate convergence patterns are almost exclusively caused by convergence of within-sector Energy Intensity levels, and not by convergence of the sectoral composition of economies.
Shenglang Yang - One of the best experts on this subject based on the ideXlab platform.
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intangible capital and sectoral Energy Intensity evidence from 40 economies between 1995 and 2007
Energy Policy, 2018Co-Authors: Shenglang Yang, Xunpeng ShiAbstract:Abstract Intangible capital has been found to be an increasingly important source of productivity and economic growth. However, its effects on Energy Intensity have received little attention. Given the importance of reducing Energy Intensity, this study advances the understanding of the relationship between intangible capital and sectoral Energy Intensity by taking advantage of a rich dataset of 40 economies derived from the World Input-Output Database (WIOD), spanning across 13 years (1995–2007). A relatively robust causal relationship between intangible capital and sectoral Energy Intensity has been identified. The qualitative and quantitative interactions of this relationship with income level and sectoral heterogeneity have also been revealed. It is found that the effect of intangible capital on reducing sectoral Energy Intensity generally diminishes along with increasing income level but a moderate quadratic relationship is identified in some types of intangible capital. Finally, sectors where intangible capital have the largest and smallest effect are also pinpointed.
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intangible capital and sectoral Energy Intensity evidence from 40 economies between 1995 and 2007
Energy Policy, 2018Co-Authors: Shenglang YangAbstract:Intangible capital has been found to be an increasingly important source of productivity and economic growth. However, its effects on Energy Intensity have received little attention. Given the importance of reducing Energy Intensity, this study advances the understanding of the relationship between intangible capital and sectoral Energy Intensity by taking advantage of a rich dataset of 40 economies derived from the World Input-Output Database (WIOD), spanning across 13 years (1995–2007). A relatively robust causal relationship between intangible capital and sectoral Energy Intensity has been identified. The qualitative and quantitative interactions of this relationship with income level and sectoral heterogeneity have also been revealed.