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A residual-free decomposition of the sources of carbon dioxide emissions: a case of the Korean industries

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  • Chung, Hyun-Sik
  • Rhee, Hae-Chun

Abstract

This paper introduces a new method to estimate and decompose sources of carbon dioxide emissions using the input–output model. This method uses what we call the ‘mean rate-of-change index’ for weights of the decomposed terms. In this journal, Ang et al. asserted that logarithmic mean divisia index is superior to Laspeyres index or its variants since the former reduces unexplained residual to zero. Our method provides more plausible and reasonable results than the other methods because it enables residual-free decomposition even when data contain negative values, which logarithmic mean divisia index cannot handle.

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  • 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.
  • Handle: RePEc:eee:energy:v:26:y:2001:i:1:p:15-30
    DOI: 10.1016/S0360-5442(00)00045-1
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    References listed on IDEAS

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    1. 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.
    2. 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.
    3. Proops, John L. R. & Atkinson, Giles & Schlotheim, Burkhard Frhr. v. & Simon, Sandrine, 1999. "International trade and the sustainability footprint: a practical criterion for its assessment," Ecological Economics, Elsevier, vol. 28(1), pages 75-97, January.
    4. Ang, B. W. & Lee, S. Y., 1994. "Decomposition of industrial energy consumption : Some methodological and application issues," Energy Economics, Elsevier, vol. 16(2), pages 83-92, April.
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