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Decomposed Analysis Of Carbon Productivity: The Case Of Romania

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  • Nela STELIAC

    ("BabeÈ™-Bolyai" University of Cluj-Napoca, 400084, Romania)

Abstract

This paper presents the carbon productivity (CP) analysis for Romania for the period 2008-2021. The decomposition analysis, i.e. the Log Mean Divisia Index method, multiplicative form, was used. Carbon productivity was decomposed at the level of three influencing factors: carbon intensity, energy intensity and sectoral structure of gross value added. Calculations were performed considering current and constant prices of GVA. The decomposition results showed a general increase in CP over the period as well as positive and negative influences of the three drivers. The improvement in carbon productivity was realized as a result of decreasing total carbon dioxide emissions and increasing gross value added per economy. Carbon emissions decreased significantly in 2021 compared to 2008, in contrast to final energy consumption. The real growth in CP in 2021 was about twice that in 2008. The largest increase in CP, however, was achieved in 2009. Throughout the studied period, there were years in which all influencing factors simultaneously had positive influences.

Suggested Citation

  • Nela STELIAC, 2025. "Decomposed Analysis Of Carbon Productivity: The Case Of Romania," European Journal of Accounting, Finance & Business, "Stefan cel Mare" University of Suceava, Romania - Faculty of Economics and Public Administration, West University of Timisoara, Romania - Faculty of Economics and Business Administration, vol. 13(2), pages 3-11, June.
  • Handle: RePEc:scm:ejafbu:v:13:y:2025:i:2:p:3-11
    DOI: 10.4316/EJAFB.2025.13201
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    References listed on IDEAS

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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. 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, , vol. 18(3), pages 59-73, July.
    3. Ang, B.W., 2015. "LMDI decomposition approach: A guide for implementation," Energy Policy, Elsevier, vol. 86(C), pages 233-238.
    4. 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.
    5. 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.
    6. repec:aen:journl:1997v18-03-a03 is not listed on IDEAS
    7. 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.
    8. Mariana Carmelia Balanica-Dragomir, 2024. "A Logarithmic Mean Divisia Index Decomposition of CO$_2$ Emissions from Energy Use in Romania," Papers 2403.04354, arXiv.org.
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