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Final Energy Consumption Trends and Drivers in Czech Republic and Latvia

Author

Listed:
  • Zhiqian Yu

    (School of Economics and Statistics, Guangzhou University, P. R. China)

  • Dalia Streimikiene

    (Lithuanian Institute of Agrarian Economics, Vilnius, Lithuania)

  • Tomas Balezentis

    (Lithuanian Institute of Agrarian Economics, Vilnius, Lithuania)

  • Rimantas Dapkus

    (Aleksandras Stulginskis University, Kaunas, Lithuania)

Abstract

This paper analyses the trends of final energy consumption in Latvia and Czech Republic. Analysis of final energy consumption during 2000-2013 period indicated the main driving forces of final energy consumption during and after world financial crisis of 2008. The paper aimed to evaluate the impact of economic activity and other factors on final energy consumption. The decomposition of the final energy consumption is assessed by analyzing effect of different drivers by the main end-users sector (industry, transport, households, agriculture, services), activity, demography, lifestyles, structural effects, energy savings etc. The results show that the reduction in final energy consumption in most EU memb ers states before and after year 2008 can be related to the decline in energy intensities within end - users sectors. At the same time, the increase in final energy intensity after the year 2008 is attributed to expansion of energy demand sectors. Comparison of final energy consumption trends and drivers in Latvia and Czech Republic indicated that Czech Republic implemented more policies and measures in industry and tertiary sector and this provided for final energy consumption decreased and huge energy savings in these sectors.

Suggested Citation

  • Zhiqian Yu & Dalia Streimikiene & Tomas Balezentis & Rimantas Dapkus, 2017. "Final Energy Consumption Trends and Drivers in Czech Republic and Latvia," The AMFITEATRU ECONOMIC journal, Academy of Economic Studies - Bucharest, Romania, vol. 19(46), pages 866-866, August.
  • Handle: RePEc:aes:amfeco:v:46:y:2017:i:19:p:866
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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. Albrecht, Johan & Francois, Delphine & Schoors, Koen, 2002. "A Shapley decomposition of carbon emissions without residuals," Energy Policy, Elsevier, vol. 30(9), pages 727-736, July.
    3. Ang, B. W. & Liu, F. L. & Chew, E. P., 2003. "Perfect decomposition techniques in energy and environmental analysis," Energy Policy, Elsevier, vol. 31(14), pages 1561-1566, November.
    4. Sun, J. W., 1998. "Changes in energy consumption and energy intensity: A complete decomposition model," Energy Economics, Elsevier, vol. 20(1), pages 85-100, February.
    5. Xu, X.Y. & Ang, B.W., 2013. "Index decomposition analysis applied to CO2 emission studies," Ecological Economics, Elsevier, vol. 93(C), pages 313-329.
    6. Brizga, Janis & Feng, Kuishuang & Hubacek, Klaus, 2014. "Drivers of greenhouse gas emissions in the Baltic States: A structural decomposition analysis," Ecological Economics, Elsevier, vol. 98(C), pages 22-28.
    7. Baležentis, Alvydas & Baležentis, Tomas & Streimikiene, Dalia, 2011. "The energy intensity in Lithuania during 1995–2009: A LMDI approach," Energy Policy, Elsevier, vol. 39(11), pages 7322-7334.
    8. Ang, B.W., 2015. "LMDI decomposition approach: A guide for implementation," Energy Policy, Elsevier, vol. 86(C), pages 233-238.
    9. Ang, B.W. & Huang, H.C. & Mu, A.R., 2009. "Properties and linkages of some index decomposition analysis methods," Energy Policy, Elsevier, vol. 37(11), pages 4624-4632, November.
    10. Hoekstra, Rutger & van den Bergh, Jeroen C. J. M., 2003. "Comparing structural decomposition analysis and index," Energy Economics, Elsevier, vol. 25(1), pages 39-64, January.
    11. Štreimikienė, Dalia & Balezentis, Tomas, 2016. "Kaya identity for analysis of the main drivers of GHG emissions and feasibility to implement EU “20–20–20” targets in the Baltic States," Renewable and Sustainable Energy Reviews, Elsevier, vol. 58(C), pages 1108-1113.
    12. Robaina Alves, Margarita & Moutinho, Victor, 2013. "Decomposition analysis and Innovative Accounting Approach for energy-related CO2 (carbon dioxide) emissions intensity over 1996–2009 in Portugal," Energy, Elsevier, vol. 57(C), pages 775-787.
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    More about this item

    Keywords

    energy intensity; energy savings; decomposition analysis; Czech Republic; Latvia.;
    All these keywords.

    JEL classification:

    • Q4 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy
    • Q5 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics
    • Q48 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Government Policy

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