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Combining physical and economic output data to analyse energy and CO2 emissions trends in industry

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  • Cahill, Caiman J.
  • Ó Gallachóir, Brian P.

Abstract

Index decomposition analysis based on economic output is frequently employed to provide an indication of energy intensity trends in industry. Additionally, composite energy efficiency indicators, calculated using physical output, are used to give a more accurate view of energy efficiency progress. Both approaches are commonly presented in one study but often with a different mathematical basis for each. This may lead to inconsistent results. We demonstrate using practical case studies that when all physical and economic output data are available for industry sub-sectors, these can be combined in a single decomposition analysis that provides an energy efficiency indicator based on physical production and an indicator of the influence of structural change based on value added. Using the same methodology for both results ensures that the results are consistent and provides insights into the effects of changing prices of goods on aggregate energy intensity. In the case studies examined, falling unit values of industrial goods produced over time tend to increase the energy intensity of industry.

Suggested Citation

  • Cahill, Caiman J. & Ó Gallachóir, Brian P., 2012. "Combining physical and economic output data to analyse energy and CO2 emissions trends in industry," Energy Policy, Elsevier, vol. 49(C), pages 422-429.
    • Handle: RePEc:eee:enepol:v:49:y:2012:i:c:p:422-429
    DOI: 10.1016/j.enpol.2012.06.041
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    1. Ang, B. W., 2004. "Decomposition analysis for policymaking in energy:: which is the preferred method?," Energy Policy, Elsevier, vol. 32(9), pages 1131-1139, June.
    2. Ang, B.W & Zhang, F.Q & Choi, Ki-Hong, 1998. "Factorizing changes in energy and environmental indicators through decomposition," Energy, Elsevier, vol. 23(6), pages 489-495.
    3. Ang, B.W. & Mu, A.R. & Zhou, P., 2010. "Accounting frameworks for tracking energy efficiency trends," Energy Economics, Elsevier, vol. 32(5), pages 1209-1219, September.
    4. Ang, B. W., 2005. "The LMDI approach to decomposition analysis: a practical guide," Energy Policy, Elsevier, vol. 33(7), pages 867-871, May.
    5. Farla, Jacco C.M & Blok, Kornelis, 2000. "The use of physical indicators for the monitoring of energy intensity developments in the Netherlands, 1980–1995," Energy, Elsevier, vol. 25(7), pages 609-638.
    6. Ang, B. W. & Liu, F. L. & Chew, E. P., 2003. "Perfect decomposition techniques in energy and environmental analysis," Energy Policy, Elsevier, vol. 31(14), pages 1561-1566, November.
    7. 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.
    8. 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.
    9. Chung, Hyun-Sik & Rhee, Hae-Chun, 2001. "A residual-free decomposition of the sources of carbon dioxide emissions: a case of the Korean industries," Energy, Elsevier, vol. 26(1), pages 15-30.
    10. Hoekstra, Rutger & van den Bergh, Jeroen C. J. M., 2003. "Comparing structural decomposition analysis and index," Energy Economics, Elsevier, vol. 25(1), pages 39-64, January.
    11. Al-Mansour, Fouad, 2011. "Energy efficiency trends and policy in Slovenia," Energy, Elsevier, vol. 36(4), pages 1868-1877.
    12. Ang, B.W. & Liu, F.L. & Chung, Hyun-Sik, 2004. "A generalized Fisher index approach to energy decomposition analysis," Energy Economics, Elsevier, vol. 26(5), pages 757-763, September.
    13. Ang, B.W., 2006. "Monitoring changes in economy-wide energy efficiency: From energy-GDP ratio to composite efficiency index," Energy Policy, Elsevier, vol. 34(5), pages 574-582, March.
    14. Eichhammer, Wolfgang & Wilhelm, Mannsbart, 1997. "Industrial energy efficiency : Indicators for a European cross-country comparison of energy efficiency in the manufacturing industry," Energy Policy, Elsevier, vol. 25(7-9), pages 759-772.
    15. 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.
    16. Liu, F. L. & Ang, B. W., 2003. "Eight methods for decomposing the aggregate energy-intensity of industry," Applied Energy, Elsevier, vol. 76(1-3), pages 15-23, September.
    17. 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.
    18. Ang, B.W. & Huang, H.C. & Mu, A.R., 2009. "Properties and linkages of some index decomposition analysis methods," Energy Policy, Elsevier, vol. 37(11), pages 4624-4632, November.
    19. 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.
    20. Wood, Richard & Lenzen, Manfred, 2006. "Zero-value problems of the logarithmic mean divisia index decomposition method," Energy Policy, Elsevier, vol. 34(12), pages 1326-1331, August.
    21. Boyd, Gale A. & Hanson, Donald A. & Sterner, Thomas, 1988. "Decomposition of changes in energy intensity : A comparison of the Divisia index and other methods," Energy Economics, Elsevier, vol. 10(4), pages 309-312, October.
    22. Gale A. Boyd, 2005. "A Method for Measuring the Efficiency Gap between Average and Best Practice Energy Use: The ENERGY STAR Industrial Energy Performance Indicator," Journal of Industrial Ecology, Yale University, vol. 9(3), pages 51-65, July.
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