Advanced Search
MyIDEAS: Login to save this article or follow this journal

Comparing structural decomposition analysis and index

Contents:

Author Info

  • Hoekstra, Rutger
  • van den Bergh, Jeroen C. J. M.

Abstract

To analyze and understand historical changes in economic, environmental, employment or other socio-economic indicators, it is useful to assess the driving forces or determinants that underlie these changes. Two techniques for decomposing indicator changes at the sector level are structural decomposition analysis (SDA) and index decomposition analysis (IDA). For example, SDA and IDA have been used to analyze changes in indicators such as energy use, CO2-emissions, labor demand and value added. The changes in these variables are decomposed into determinants such as technological, demand, and structural effects. SDA uses information from input-output tables while IDA uses aggregate data at the sector-level. The two methods have developed quite independently, which has resulted in each method being characterized by specific, unique techniques and approaches. This paper has three aims. First, the similarities and differences between the two approaches are summarized. Second, the possibility of transferring specific techniques and indices is explored. Finally, a numerical example is used to illustrate differences between the two approaches.

Download Info

If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
File URL: http://www.sciencedirect.com/science/article/B6V7G-46X2KFF-1/2/1360ff3f895739fd979bd39e7c114394
Download Restriction: Full text for ScienceDirect subscribers only

As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.

Bibliographic Info

Article provided by Elsevier in its journal Energy Economics.

Volume (Year): 25 (2003)
Issue (Month): 1 (January)
Pages: 39-64

as in new window
Handle: RePEc:eee:eneeco:v:25:y:2003:i:1:p:39-64

Contact details of provider:
Web page: http://www.elsevier.com/locate/eneco

Related research

Keywords: Comparative static analysis; Energy use; Index properties; Structural change; Technological change; CO2-emissions;

Find related papers by JEL classification:

References

References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
as in new window
  1. Sun, J. W., 1998. "Changes in energy consumption and energy intensity: A complete decomposition model," Energy Economics, Elsevier, vol. 20(1), pages 85-100, February.
  2. Erik Dietzenbacher & Bart Los, 1998. "Structural Decomposition Techniques: Sense and Sensitivity," Economic Systems Research, Taylor & Francis Journals, vol. 10(4), pages 307-324.
  3. 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.
  4. Rutger Hoekstra & Jeroen van den Bergh, 2002. "Structural Decomposition Analysis of Physical Flows in the Economy," Environmental & Resource Economics, European Association of Environmental and Resource Economists, vol. 23(3), pages 357-378, November.
  5. Ang, B. W. & Lee, P. W., 1996. "Decomposition of industrial energy consumption: The energy coefficient approach," Energy Economics, Elsevier, vol. 18(1-2), pages 129-143, April.
  6. B. W. Ang & Ki-Hong Choi, 1997. "Decomposition of Aggregate Energy and Gas Emission Intensities for Industry: A Refined Divisia Index Method," The Energy Journal, International Association for Energy Economics, vol. 0(Number 3), pages 59-73.
  7. Xiaoli Han & TK. Lakshmanan, 1994. "Structural Changes and Energy Consumption in the Japanese Economy 1975-95: An Input-Output Analysis," The Energy Journal, International Association for Energy Economics, vol. 0(Number 3), pages 165-188.
  8. Erik Dietzenbacher & Alex R. Hoen & Bart Los, 2000. "Labor Productivity in Western Europe 1975-1985: An Intercountry, Interindustry Analysis," Journal of Regional Science, Wiley Blackwell, vol. 40(3), pages 425-452.
  9. X. Q. Liu & B. W. Ang & H.L. Ong, 1992. "The Application of the Divisia Index to the Decomposition of Changes in Industrial Energy Consumption," The Energy Journal, International Association for Energy Economics, vol. 0(Number 4), pages 161-178.
Full references (including those not matched with items on IDEAS)

Citations

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

Cited by:
  1. Daniel J.A. Johansson & Paul L. Lucas & Matthias Weitzel & Erik O. Ahlgren & A.B. Bazaz & Wenying Chen & Michel G.J. den Elzen & Joydeep Ghosh & Qiao-Mei Liang & Sonja Peterson & Basanta K. Pradhan & , 2012. "Multi-model analyses of the economic and energy implications for China and India in a post-Kyoto climate regime," Kiel Working Papers 1808, Kiel Institute for the World Economy.
  2. Alex Hoen & Machiel Mulder, 2003. "Explaining Dutch emissions of CO2; a decomposition analysis," CPB Discussion Paper 24, CPB Netherlands Bureau for Economic Policy Analysis.
  3. Brizga, Janis & Feng, Kuishuang & Hubacek, Klaus, 2014. "Drivers of greenhouse gas emissions in the Baltic States: A structural decomposition analysis," Ecological Economics, Elsevier, vol. 98(C), pages 22-28.
  4. Lavanda, Italo, 2012. "Employees’ Compensation Share in Italy - La quota del reddito da lavoro dipendente in Italia (1965-2000)," Economia Internazionale / International Economics, Camera di Commercio di Genova, vol. 65(1), pages 55-64.
  5. Cazcarro, Ignacio & Duarte, Rosa & Sánchez-Chóliz, Julio, 2013. "Economic growth and the evolution of water consumption in Spain: A structural decomposition analysis," Ecological Economics, Elsevier, vol. 96(C), pages 51-61.
  6. Paul De Boer, 2008. "Additive Structural Decomposition Analysis and Index Number Theory: An Empirical Application of the Montgomery Decomposition," Economic Systems Research, Taylor & Francis Journals, vol. 20(1), pages 97-109.
  7. Cahill, Caiman J. & Ó Gallachóir, Brian P., 2010. "Monitoring energy efficiency trends in European industry: Which top-down method should be used?," Energy Policy, Elsevier, vol. 38(11), pages 6910-6918, November.
  8. He, Hongming & Jim, C.Y., 2012. "Coupling model of energy consumption with changes in environmental utility," Energy Policy, Elsevier, vol. 43(C), pages 235-243.
  9. Alex R. Hoen & Machiel Mulder, 2003. "A decomposition analysis of the emission of CO2," ERSA conference papers ersa03p151, European Regional Science Association.
  10. Du, Kerui & Lu, Huang & Yu, Kun, 2014. "Sources of the potential CO2 emission reduction in China: A nonparametric metafrontier approach," Applied Energy, Elsevier, vol. 115(C), pages 491-501.
  11. Zhao, Xiaoli & Li, Na & Ma, Chunbo, 2011. "Residential Energy Consumption in Urban China," Working Papers 117810, University of Western Australia, School of Agricultural and Resource Economics.
  12. Youguo Zhang, 2012. "Scale, Technique and Composition Effects in Trade-Related Carbon Emissions in China," Environmental & Resource Economics, European Association of Environmental and Resource Economists, vol. 51(3), pages 371-389, March.
  13. Rutger Hoekstra & Jeroen van den Bergh, 2002. "Structural Decomposition Analysis of Physical Flows in the Economy," Environmental & Resource Economics, European Association of Environmental and Resource Economists, vol. 23(3), pages 357-378, November.
  14. Ana-Isabel Guerra & Ferran Sancho, 2013. "A Linear Price Model With Extractions," ERSA conference papers ersa13p281, European Regional Science Association.
  15. Margarida R. Alves & Victor Moutinho, 2013. "Decomposition analysis for energy-related CO2 emissions intensity over 1996-2009 in Portuguese Industrial Sectors," CEFAGE-UE Working Papers 2013_10, University of Evora, CEFAGE-UE (Portugal).
  16. Shahiduzzaman, Md. & Alam, Khorshed, 2013. "Changes in energy efficiency in Australia: A decomposition of aggregate energy intensity using logarithmic mean Divisia approach," Energy Policy, Elsevier, vol. 56(C), pages 341-351.
  17. Tekla Sebestyén Szép, 2013. "Eight Methods for Decomposing the Aggregate Energy Intensity of the Economic Structure," Theory Methodology Practice (TMP), Faculty of Economics, University of Miskolc, vol. 9(01), pages 77-84.
  18. Erik Dietzenbacher & Jesper Stage, 2006. "Mixing oil and water? Using hybrid input-output tables in a Structural decomposition analysis," Economic Systems Research, Taylor & Francis Journals, vol. 18(1), pages 85-95.
  19. Shahiduzzaman, Md & Alam, Khorshed, 2012. "Changes in energy efficiency in Australia: A decomposition of aggregate energy intensity using Logarithmic Mean Divisia approach," MPRA Paper 36250, University Library of Munich, Germany.
  20. Xu, Shi-Chun & He, Zheng-Xia & Long, Ru-Yin, 2014. "Factors that influence carbon emissions due to energy consumption in China: Decomposition analysis using LMDI," Applied Energy, Elsevier, vol. 127(C), pages 182-193.
  21. Steenhof, Paul A. & Weber, Chris J., 2011. "An assessment of factors impacting Canada's electricity sector's GHG emissions," Energy Policy, Elsevier, vol. 39(7), pages 4089-4096, July.
  22. Tan, Hao & Sun, Aijun & Lau, Henry, 2013. "CO2 embodiment in China–Australia trade: The drivers and implications," Energy Policy, Elsevier, vol. 61(C), pages 1212-1220.
  23. Hwang, In Chang, 2013. "Anthropogenic drivers of carbon emissions: scale and counteracting effects," MPRA Paper 52224, University Library of Munich, Germany.
  24. Tian, Yihui & Zhu, Qinghua & Geng, Yong, 2013. "An analysis of energy-related greenhouse gas emissions in the Chinese iron and steel industry," Energy Policy, Elsevier, vol. 56(C), pages 352-361.

Lists

This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

Statistics

Access and download statistics

Corrections

When requesting a correction, please mention this item's handle: RePEc:eee:eneeco:v:25:y:2003:i:1:p:39-64. See general information about how to correct material in RePEc.

For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Zhang, Lei).

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.

If references are entirely missing, you can add them using this form.

If the full references list an item that is present in RePEc, but the system did not link to it, you can help with 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 profile, as there may be some citations waiting for confirmation.

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