IDEAS home Printed from https://ideas.repec.org/a/scm/ejafbu/v11y2023i2p11-19.html
   My bibliography  Save this article

Methods Of Calculating Energy Efficiency Through Energy Intensity - Romania

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: http://www.accounting-management.ro/getpdf.php?paperid=32_3
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Dargahi, Hassan & Khameneh, Kazem Biabany, 2019. "Energy intensity determinants in an energy-exporting developing economy: Case of Iran," Energy, Elsevier, vol. 168(C), pages 1031-1044.
    2. Zhang, Dayong & Cao, Hong & Wei, Yi-Ming, 2016. "Identifying the determinants of energy intensity in China: A Bayesian averaging approach," Applied Energy, Elsevier, vol. 168(C), pages 672-682.
    3. Huang, Junbing & Lai, Yali & Wang, Yajun & Hao, Yu, 2020. "Energy-saving research and development activities and energy intensity in China: A regional comparison perspective," Energy, Elsevier, vol. 213(C).
    4. An, Hui & Xu, Jianjun & Ma, Xuejiao, 2020. "Does technological progress and industrial structure reduce electricity consumption? Evidence from spatial and heterogeneity analysis," Structural Change and Economic Dynamics, Elsevier, vol. 52(C), pages 206-220.
    5. Chen, Suisui & Zhang, Hongyan & Wang, Shuhong, 2022. "Trade openness, economic growth, and energy intensity in China," Technological Forecasting and Social Change, Elsevier, vol. 179(C).
    6. Huang, Junbing & Du, Dan & Tao, Qizhi, 2017. "An analysis of technological factors and energy intensity in China," Energy Policy, Elsevier, vol. 109(C), pages 1-9.
    7. Pan, Xiongfeng & Uddin, Md. Kamal & Saima, Umme & Jiao, Zhiming & Han, Cuicui, 2019. "How do industrialization and trade openness influence energy intensity? Evidence from a path model in case of Bangladesh," Energy Policy, Elsevier, vol. 133(C).
    8. Huang, Junbing & Chen, Xiang, 2020. "Domestic R&D activities, technology absorption ability, and energy intensity in China," Energy Policy, Elsevier, vol. 138(C).
    9. Yan, Huijie, 2015. "Provincial energy intensity in China: The role of urbanization," Energy Policy, Elsevier, vol. 86(C), pages 635-650.
    10. Mohd Alsaleh & A. S. Abdul-Rahim, 2019. "Bioenergy Intensity and Its Determinants in European Continental Countries: Evidence Using GMM Estimation," Resources, MDPI, vol. 8(1), pages 1-14, February.
    11. Zheng, Yingmei & Qi, Jianhong & Chen, Xiaoliang, 2011. "The effect of increasing exports on industrial energy intensity in China," Energy Policy, Elsevier, vol. 39(5), pages 2688-2698, May.
    12. Karen Fisher-Vanden & Yong Hu & Gary Jefferson & Michael Rock & Michael Toman, 2016. "Factors Influencing Energy Intensity in Four Chinese Industries," The Energy Journal, , vol. 37(1_suppl), pages 153-178, January.
    13. Erik Dietzenbacher & Jesper Stage, 2006. "Mixing oil and water? Using hybrid input-output tables in a Structural decomposition analysis," Economic Systems Research, Taylor & Francis Journals, vol. 18(1), pages 85-95.
    14. 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.
    15. Ling Yang & Michael L. Lahr, 2019. "The Drivers of China’s Regional Carbon Emission Change—A Structural Decomposition Analysis from 1997 to 2007," Sustainability, MDPI, vol. 11(12), pages 1-18, June.
    16. Hübler, Michael, 2011. "Technology diffusion under contraction and convergence: A CGE analysis of China," Energy Economics, Elsevier, vol. 33(1), pages 131-142, January.
    17. Butnar, Isabela & Llop, Maria, 2011. "Structural decomposition analysis and input-output subsystems: Changes in CO2 emissions of Spanish service sectors (2000-2005)," Ecological Economics, Elsevier, vol. 70(11), pages 2012-2019, September.
    18. Pauline Lacour & Catherine Figuière, 2011. "Environmentally friendly technologies transfers through trade flows from Japan to China - An approach by bilateral trade in environmental goods," Post-Print halshs-00628832, HAL.
    19. Natalia Larionova & Julia Varlamova & Julia Kolesnikova, 2021. "Does Digitalization Reduce Electricity Consumption? Evidence from Spatial Analysis," International Journal of Energy Economics and Policy, Econjournals, vol. 11(2), pages 413-419.
    20. Weijiang Liu & Yangyang Li & Tingting Liu & Min Liu & Hai Wei, 2021. "How to Promote Low-Carbon Economic Development? A Comprehensive Assessment of Carbon Tax Policy in China," IJERPH, MDPI, vol. 18(20), pages 1-16, October.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:scm:ejafbu:v:11:y:2023:i:2:p:11-19. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Liviu Scutariu (email available below). General contact details of provider: https://edirc.repec.org/data/feusvro.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.