IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v18y1993i10p1033-1044.html
   My bibliography  Save this article

Sector disaggregation, structural effect and industrial energy use: An approach to analyze the interrelationships

Author

Listed:
  • Ang, B.W.

Abstract

In the analysis of industrial energy use, the energy impact of structural change has often been estimated at a certain level of sector disaggregation using one of a large number of decomposition methods available. Such an estimate has two limitations. First, it gives the “net” energy impact which is a residual value after cancellation of the positive and negative components of the structural effect. The cancellation conceals information on structural change useful in energy demand analysis and forecasting. Second, such an estimate is highly specific since it is valid only at the level of sector disaggregation considered. We discuss these two limitations and present some possible solutions. We describe the concept of cancellation and propose two indicators to measure it. We then introduce the decomposition tree approach which is a procedure for studying the influence of level of sector disaggregation in a systematic manner. The approach can be easily adopted in many decomposition methods and has several other useful applications.

Suggested Citation

  • Ang, B.W., 1993. "Sector disaggregation, structural effect and industrial energy use: An approach to analyze the interrelationships," Energy, Elsevier, vol. 18(10), pages 1033-1044.
  • Handle: RePEc:eee:energy:v:18:y:1993:i:10:p:1033-1044
    DOI: 10.1016/0360-5442(93)90052-F
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/036054429390052F
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/0360-5442(93)90052-F?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Su, Bin & Huang, H.C. & Ang, B.W. & Zhou, P., 2010. "Input-output analysis of CO2 emissions embodied in trade: The effects of sector aggregation," Energy Economics, Elsevier, vol. 32(1), pages 166-175, January.
    2. Greening, Lorna A. & Davis, William B. & Schipper, Lee, 1998. "Decomposition of aggregate carbon intensity for the manufacturing sector: comparison of declining trends from 10 OECD countries for the period 1971-1991," Energy Economics, Elsevier, vol. 20(1), pages 43-65, February.
    3. Seck, Gondia Sokhna & Guerassimoff, Gilles & Maïzi, Nadia, 2016. "Analysis of the importance of structural change in non-energy intensive industry for prospective modelling: The French case," Energy Policy, Elsevier, vol. 89(C), pages 114-124.
    4. Ang, B.W. & Liu, F.L., 2001. "A new energy decomposition method: perfect in decomposition and consistent in aggregation," Energy, Elsevier, vol. 26(6), pages 537-548.
    5. Greening, Lorna A. & Davis, William B. & Schipper, Lee & Khrushch, Marta, 1997. "Comparison of six decomposition methods: application to aggregate energy intensity for manufacturing in 10 OECD countries," Energy Economics, Elsevier, vol. 19(3), pages 375-390, July.
    6. repec:awi:wpaper:0422 is not listed on IDEAS
    7. Ma, Chunbo, 2014. "A multi-fuel, multi-sector and multi-region approach to index decomposition: An application to China's energy consumption 1995–2010," Energy Economics, Elsevier, vol. 42(C), pages 9-16.
    8. Ang, B. W., 1995. "Multilevel decomposition of industrial energy consumption," Energy Economics, Elsevier, vol. 17(1), pages 39-51, January.
    9. Xu, X.Y. & Ang, B.W., 2014. "Multilevel index decomposition analysis: Approaches and application," Energy Economics, Elsevier, vol. 44(C), pages 375-382.
    10. Bruyn, Sander M. de, 1997. "Explaining the environmental Kuznets Curve: the case of sulphur emissions," Serie Research Memoranda 0013, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics.
    11. Ang, B.W. & Zhang, F.Q., 2000. "A survey of index decomposition analysis in energy and environmental studies," Energy, Elsevier, vol. 25(12), pages 1149-1176.
    12. Tae Jung & Tae Park, 2000. "Structural Change of the Manufacturing Sector in Korea: Measurement of Real Energy Intensity and CO2 Emissions," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 5(3), pages 221-238, September.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:energy:v:18:y:1993:i:10:p:1033-1044. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/energy .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.