Factors Influencing Changes In Aggregate Energy Consumption. An European Cross-Country Analysis

  1. P. Fernández-González 1
  2. M. Landajo 1
  3. M.J. Presno 1
  1. 1 Universidad de Oviedo
    info

    Universidad de Oviedo

    Oviedo, España

    ROR https://ror.org/006gksa02

Revista:
Estudios Economicos Regionales y Sectoriales : EERS: Regional and sectoral economic studies : RSES

ISSN: 1578-4460

Año de publicación: 2013

Volumen: 13

Número: 2

Páginas: 19-30

Tipo: Artículo

DIALNET GOOGLE SCHOLAR

Otras publicaciones en: Estudios Economicos Regionales y Sectoriales : EERS: Regional and sectoral economic studies : RSES

Resumen

A number of previous papers have proposed index-based methods to decompose the change of an aggregate indicator into a series of predefined factors. These approaches range from classical techniques, including Laspeyres/Paasche index-based weighting schemes, to more refined proposals. In this paper we outline and apply a refined method (so-called LMDI), which is exhaustive and uses logarithmic mean weighting. The LMDI framework is then used to decompose the variation of aggregate energy consumption in the EU-27 countries. The decomposition is carried out into three factors, namely, activity, structural and intensity.

Referencias bibliográficas

  • Albrecht, J., Francois, D. and Schoors, K. (2002): “A Shapley decomposition of carbon emissions without residuals”, Energy Policy; 30(9), pp. 727-736.
  • Ang, B.W. (1995a): “Decomposition methodology in industrial energy demand analysis”, Energy; 20(11), pp. 1081-1095.
  • Ang, B.W. (1995b): “Multilevel decomposition of industrial energy consumption”, Energy Economics; 17(1), pp. 39-51.
  • Ang, B.W. (2005): “The LMDI approach to decomposition analysis: a practical guide”, Energy Policy; 33, pp. 867-871.
  • Ang, B.W. and Choi, K.H. (1997): “Decomposition of aggregate energy and gas emission intensities for industry: a refined Divisia index method”, The Energy Journal; 18(3), pp. 59-73.
  • Ang, B.W. and Lee, S.Y. (1994): “Decomposition of industrial energy consumption: Some methodological and application issues”, Energy Economics; 16(2), pp. 83-92.
  • Boyd G.A., Hanson D.A. and Sterner T. (1988): “Decomposition of Changes in Energy Intensity: A Comparison of the Divisia Index and Other Methods”, Energy Economics; 10(4), pp. 309-312.
  • Chung, W., Kam, M.S. and Ip, C.Y. (2011): “A study of residential energy use in Hong Kong by decomposition analysis, 1990–2007,” Applied Energy, 88(12), pp. 5180-5187.
  • European Commission (2011). European Economic Statistics. Publications Office of the European Union: Luxembourg; 2011 (online in http://epp.eurotat.ec.europa.eu/portal/page/portal/statistics/search_database, 2011).
  • Gardner, D.T. (1993): “Industrial energy use in Ontario from 1962 to 1984”, Energy Economics; 15(1), pp. 25-32.
  • Hankinson, G.A. and Rhys, M.M. (1983): “Electricity consumption, electricity intensity and industrial structure”, Energy Economics; 5(3), pp. 146-152.
  • Hulten, C.R. (1973): “Divisia index numbers”, Econometrica; 41(6), pp. 1017-1024.
  • Jenne, C. and Cattell, R. (1983): “Structural change and energy efficiency in industry”, Energy Economics; 5(2), pp. 114-123.
  • Li, J.W., Shrestha, R.M. and Foell, W.K. (1990): “Structural change and energy use: The case of the manufacturing sector in Taiwan”, Energy Economics; 12, pp. 109-115.
  • Liu, X.Q., Ang, B.W. and Ong, H.L. (1992): “The application of the Divisia index to the decomposition of changes in industrial energy consumption”, The Energy Journal; 13(4), pp. 161-177
  • Ma, C. and Stern, D.I. (2008): “China's changing energy intensity trend: A decomposition analysis,” Energy Economics; 30(3), pp. 1037-1053.
  • Morović, T., Gerritse, G., Jaeckel, G., Jochem, E., Mannsbart, W., Poppke, H. and Witt, B. (1989): Energy conservation indicators II. Springer-Verlag: Berlin.
  • Reitler, W., Rudolph, M. and Schaefer, M. (1987): “Analysis of the factors influencing energy consumption in industry: a revised method”, Energy Economics; 9, pp. 145-148.
  • Sahu, S.K. and Narayanan, K. (2010): "Decomposition of industrial energy consumption in Indian manufacturing: the energy intensity approach," Journal of Environmental Management and Tourism, Association for Sustainable Education, Research and Science; 0(1), pp. 22-38.
  • Sato, K. (1976): “The ideal log-change index number”, The Review of Economic and Statistics; 58, pp. 223-228.
  • Shahiduzzaman, Md. and Alam, K. (2012): “Changes in energy efficiency in Australia: A decomposition of aggregate energy intensity using Logarithmic Mean Divisia approach”, Munich Personal Repec Archive 2012; Paper No. 36250. (Online in http://mpra.ub.uni-muenchen.de/36250).
  • Sun, J,W. (1998): “Changes in energy consumption and energy intensity: A complete decomposition model”, Energy Economics; 20, pp. 85-100.
  • Vartia, Y.O. (1974): Relative changes and economic indices. Licentiate Thesis, Department of Statistics, University of Helsinki.
  • Vogt, A. (1978): “Divisia indices on different paths,” en W. Eichhorn et al. (Eds.), Theory and application of economic indices. Physica-Verlag, Wurzburg.
  • Zhang, J., Yang, Z., Fath, B.D. and Li, S. (2012): “Estimation of energy related carbon emissions in Beijing and factor decomposition analysis”. Para su publicación en Ecological Modelling. Online in: http://dx.doi.org/10.1016/ecomodel.2012.04.008.
  • Zhao, M., Tan, L.R., Zhang, W.G., Ji, M.H., Liu, Y. and Yu, L.Z. (2010): “Decomposing the influencing factors of industrial carbon emissions in Shanghai using the LMDI method”, Energy; 35(6), pp. 2505-2510.
Fuente de los datos: Dialnet