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Inter-regional comparisons of energy-related CO2 emissions using the decomposition technique

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  • Ang, B.W
  • Zhang, F.Q

Abstract

We describe the use of the decomposition technique for comparing energy-related CO2 emission levels between countries/regions. Application studies pertaining to total and per capita CO2 emissions for three OECD regions and three world regions are presented. These studies demonstrate how the difference in annual CO2 emission level between two regions may be expressed in terms of inter-regional differences in fuel share in energy demand, aggregate energy intensity, income, and population. We also show that the recently proposed logarithmic mean Divisia decomposition approach can be conveniently applied in such comparative studies.

Suggested Citation

  • Ang, B.W & Zhang, F.Q, 1999. "Inter-regional comparisons of energy-related CO2 emissions using the decomposition technique," Energy, Elsevier, vol. 24(4), pages 297-305.
  • Handle: RePEc:eee:energy:v:24:y:1999:i:4:p:297-305
    DOI: 10.1016/S0360-5442(98)00092-9
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    Cited by:

    1. Alcantara, Vicent & Duarte, Rosa, 2004. "Comparison of energy intensities in European Union countries. Results of a structural decomposition analysis," Energy Policy, Elsevier, vol. 32(2), pages 177-189, January.
    2. Mraihi, Rafaa & ben Abdallah, Khaled & Abid, Mehdi, 2013. "Road transport-related energy consumption: Analysis of driving factors in Tunisia," Energy Policy, Elsevier, vol. 62(C), pages 247-253.
    3. Voigt, Sebastian & De Cian, Enrica & Schymura, Michael & Verdolini, Elena, 2014. "Energy intensity developments in 40 major economies: Structural change or technology improvement?," Energy Economics, Elsevier, vol. 41(C), pages 47-62.
    4. Zhang, Yan & Zhang, Jinyun & Yang, Zhifeng & Li, Shengsheng, 2011. "Regional differences in the factors that influence China’s energy-related carbon emissions, and potential mitigation strategies," Energy Policy, Elsevier, vol. 39(12), pages 7712-7718.
    5. Subhash C. Ray & Kankana Mukherjee, 2007. "Efficiency in Managing the Environment and the Opportunity Cost of Pollution Abatement," Working papers 2007-09, University of Connecticut, Department of Economics.
    6. Pothen, Frank & Schymura, Michael, 2014. "Bigger cakes with less ingredients? A comparison of material use of the world economy," ZEW Discussion Papers 14-030, ZEW - Leibniz Centre for European Economic Research.
    7. Zhou, P. & Ang, B.W. & Poh, K.L., 2006. "Slacks-based efficiency measures for modeling environmental performance," Ecological Economics, Elsevier, vol. 60(1), pages 111-118, November.
    8. Ang, B. W., 1999. "Is the energy intensity a less useful indicator than the carbon factor in the study of climate change?," Energy Policy, Elsevier, vol. 27(15), pages 943-946, December.
    9. 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).
    10. Jiusto, Scott, 2006. "The differences that methods make: Cross-border power flows and accounting for carbon emissions from electricity use," Energy Policy, Elsevier, vol. 34(17), pages 2915-2928, November.
    11. 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.
    12. Zhang, F. Q. & Ang, B. W., 2001. "Methodological issues in cross-country/region decomposition of energy and environment indicators," Energy Economics, Elsevier, vol. 23(2), pages 179-190, March.
    13. 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.
    14. Bor, Yunchang Jeffrey, 2008. "Consistent multi-level energy efficiency indicators and their policy implications," Energy Economics, Elsevier, vol. 30(5), pages 2401-2419, September.

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