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Methods Of Calculating Energy Efficiency Through Energy Intensity - Romania

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  • Nela Steliac

    (†Babeș-Bolyai†University of Cluj-Napoca, 400084, Romania)

Abstract

In the current economic and geopolitical context, energy efficiency is an important goal for every nation. Energy security, economic competitiveness and reduced environmental pollution depend on it. Energy intensity is the indicator most often used to assess energy efficiency in a national economy. It can be calculated not only at the aggregate (national) level giving an overall picture of energy efficiency, but also at the disaggregated (sectoral and sub-sectoral) level giving a detailed picture by sector and sub-sector of activity. This paper aims to highlight the different ways of calculating primary and final energy intensity with an example at the Romanian level for the period 2011-2021. The analysis of this indicator revealed that the transport sector is the least energy efficient. However, the energy intensity trend in transport is downward. At the opposite pole, the most efficient sector is the other activities sector, which includes the rest of the services. With small exceptions, however, there is a general downward trend in final energy consumption per 1000 dollars gross value added by sector. The same downward trend was also evident for primary energy intensity.

Suggested Citation

  • Nela Steliac, 2023. "Methods Of Calculating Energy Efficiency Through Energy Intensity - 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. 11(2), pages 11-19, June.
    • Handle: RePEc:scm:ejafbu:v:11:y:2023:i:2:p:11-19
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    References listed on IDEAS

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    1. Adom, Philip Kofi, 2015. "Business cycle and economic-wide energy intensity: The implications for energy conservation policy in Algeria," Energy, Elsevier, vol. 88(C), pages 334-350.
    2. Richard F. Garbaccio & Mun S. Ho & Dale W. Jorgenson, 1999. "Why Has the Energy-Output Ratio Fallen in China?," The Energy Journal, International Association for Energy Economics, vol. 0(Number 3), pages 63-91.
    3. Li, Yi & Sun, Linyan & Feng, Taiwen & Zhu, Chunyan, 2013. "How to reduce energy intensity in China: A regional comparison perspective," Energy Policy, Elsevier, vol. 61(C), pages 513-522.
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