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Energy Efficiency Analysis For The European Countries

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  • Fazıl Gökgöz
  • Ercem Erkul

Abstract

The energy sector receives considerable attention from both developed and developing countries. European countries, in addition to the fossil energy resources, are dependent on external energy resources, which pose a threat, as well. In addition, energy efficiency has played a significant role in the European countries’ economic growth, policy and export. Data envelopment analysis (DEA), a popular and useful mathematical method for decision makers, is used to analyze the efficiency levels of the decision-making units. The goal of this empirical study is to make a comparative energy efficiency analysis for the European countries. On the basis of the DEA analyses, CCR and BCC approaches have been applied to the European energy sector for the period of 2011-2012. In this regard, we have established an efficiency model that includes employment, the gross fixed capital formation (GFCF) and the primary energy consumption as the inputs, and gross domestic product (GDP) has been selected as the output. According to our results, Denmark, Ireland and Norway have demonstrated full efficiency for each year. In addition, the average efficiency scores in 2012 for the European countries have been demonstrated to be higher than those of 2011. We can conclude that the DEA technique could offer significant results to the analysis of the energy efficiency levels for the European countries.

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  • Fazıl Gökgöz & Ercem Erkul, 2014. "Energy Efficiency Analysis For The European Countries," Economy & Business Journal, International Scientific Publications, Bulgaria, vol. 8(1), pages 124-140.
    • Handle: RePEc:isp:journl:v:8:y:2014:i:1:p:124-140
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    as
    1. Fallahi, Alireza & Ebrahimi, Reza & Ghaderi, S.F., 2011. "Measuring efficiency and productivity change in power electric generation management companies by using data envelopment analysis: A case study," Energy, Elsevier, vol. 36(11), pages 6398-6405.
    2. Jamasb, Tooraj & Nillesen, Paul & Pollitt, Michael, 2004. "Strategic behaviour under regulatory benchmarking," Energy Economics, Elsevier, vol. 26(5), pages 825-843, September.
    3. Hawdon, David, 2003. "Efficiency, performance and regulation of the international gas industry--a bootstrap DEA approach," Energy Policy, Elsevier, vol. 31(11), pages 1167-1178, September.
    4. Yang, Hongliang & Pollitt, Michael, 2009. "Incorporating both undesirable outputs and uncontrollable variables into DEA: The performance of Chinese coal-fired power plants," European Journal of Operational Research, Elsevier, vol. 197(3), pages 1095-1105, September.
    5. Sueyoshi, Toshiyuki & Goto, Mika, 2001. "Slack-adjusted DEA for time series analysis: Performance measurement of Japanese electric power generation industry in 1984-1993," European Journal of Operational Research, Elsevier, vol. 133(2), pages 232-259, January.
    6. Zhou, P. & Ang, B.W., 2008. "Linear programming models for measuring economy-wide energy efficiency performance," Energy Policy, Elsevier, vol. 36(8), pages 2901-2906, August.
    7. Yang, Mian & Yang, Fu-Xia & Chen, Xing-Peng, 2011. "Effects of substituting energy with capital on China's aggregated energy and environmental efficiency," Energy Policy, Elsevier, vol. 39(10), pages 6065-6072, October.
    8. Pollitt, Michael G, 1996. "Ownership and Efficiency in Nuclear Power Production," Oxford Economic Papers, Oxford University Press, vol. 48(2), pages 342-360, April.
    9. Yadav, Vinod Kumar & Padhy, N.P. & Gupta, H.O., 2011. "Performance evaluation and improvement directions for an Indian electric utility," Energy Policy, Elsevier, vol. 39(11), pages 7112-7120.
    10. Park, Soo-Uk & Lesourd, Jean-Baptiste, 2000. "The efficiency of conventional fuel power plants in South Korea: A comparison of parametric and non-parametric approaches," International Journal of Production Economics, Elsevier, vol. 63(1), pages 59-67, January.
    11. Honma, Satoshi & Hu, Jin-Li, 2008. "Total-factor energy efficiency of regions in Japan," Energy Policy, Elsevier, vol. 36(2), pages 821-833, February.
    12. Korhonen, Pekka J. & Luptacik, Mikulas, 2004. "Eco-efficiency analysis of power plants: An extension of data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 154(2), pages 437-446, April.
    13. Honma, Satoshi & Hu, Jin-Li, 2014. "Industry-level total-factor energy efficiency in developed countries: A Japan-centered analysis," Applied Energy, Elsevier, vol. 119(C), pages 67-78.
    14. Zhang, Xing-Ping & Cheng, Xiao-Mei & Yuan, Jia-Hai & Gao, Xiao-Jun, 2011. "Total-factor energy efficiency in developing countries," Energy Policy, Elsevier, vol. 39(2), pages 644-650, February.
    15. Jiuwen Sun & Shanshan Li, 2014. "Total Factor Energy Efficiency of Yangtze River Delta Region in China," ERSA conference papers ersa14p799, European Regional Science Association.
    16. John Hills, 2012. "Final report of the Hills Independent Fuel Poverty Review: Getting the Measure of Fuel Poverty," CASE Reports casereport72, Centre for Analysis of Social Exclusion, LSE.
    17. Raczka, Jan, 2001. "Explaining the performance of heat plants in Poland," Energy Economics, Elsevier, vol. 23(4), pages 355-370, July.
    18. Oh, Dong-hyun, 2010. "A metafrontier approach for measuring an environmentally sensitive productivity growth index," Energy Economics, Elsevier, vol. 32(1), pages 146-157, January.
    19. Sadjadi, S.J. & Omrani, H., 2008. "Data envelopment analysis with uncertain data: An application for Iranian electricity distribution companies," Energy Policy, Elsevier, vol. 36(11), pages 4247-4254, November.
    20. Hu, Jin-Li & Wang, Shih-Chuan, 2006. "Total-factor energy efficiency of regions in China," Energy Policy, Elsevier, vol. 34(17), pages 3206-3217, November.
    21. Liu, C.H. & Lin, Sue J. & Lewis, Charles, 2010. "Evaluation of thermal power plant operational performance in Taiwan by data envelopment analysis," Energy Policy, Elsevier, vol. 38(2), pages 1049-1058, February.
    22. Kopsakangas-Savolainen, Maria & Svento, Rauli, 2008. "Estimation of cost-effectiveness of the Finnish electricity distribution utilities," Energy Economics, Elsevier, vol. 30(2), pages 212-229, March.
    23. Zhou, P. & Ang, B.W. & Poh, K.L., 2008. "A survey of data envelopment analysis in energy and environmental studies," European Journal of Operational Research, Elsevier, vol. 189(1), pages 1-18, August.
    24. Wang, Qunwei & Zhou, Peng & Zhou, Dequn, 2012. "Efficiency measurement with carbon dioxide emissions: The case of China," Applied Energy, Elsevier, vol. 90(1), pages 161-166.
    25. Sueyoshi, Toshiyuki & Goto, Mika, 2012. "Environmental assessment by DEA radial measurement: U.S. coal-fired power plants in ISO (Independent System Operator) and RTO (Regional Transmission Organization)," Energy Economics, Elsevier, vol. 34(3), pages 663-676.
    26. Xiaoli, Zhao & Rui, Yang & Qian, Ma, 2014. "China's total factor energy efficiency of provincial industrial sectors," Energy, Elsevier, vol. 65(C), pages 52-61.
    27. Patterson, Murray G, 1996. "What is energy efficiency? : Concepts, indicators and methodological issues," Energy Policy, Elsevier, vol. 24(5), pages 377-390, May.
    28. Pacudan, Romeo & de Guzman, Elaine, 2002. "Impact of energy efficiency policy to productive efficiency of electricity distribution industry in the Philippines," Energy Economics, Elsevier, vol. 24(1), pages 41-54, January.
    29. Jamasb, T. & Pollitt, M., 2000. "Benchmarking and regulation: international electricity experience," Utilities Policy, Elsevier, vol. 9(3), pages 107-130, September.
    30. Førsund, Finn R. & Kittelsen, Sverre A. C., 1998. "Productivity development of Norwegian electricity distribution utilities," Resource and Energy Economics, Elsevier, vol. 20(3), pages 207-224, September.
    31. Guo, Xiao-Dan & Zhu, Lei & Fan, Ying & Xie, Bai-Chen, 2011. "Evaluation of potential reductions in carbon emissions in Chinese provinces based on environmental DEA," Energy Policy, Elsevier, vol. 39(5), pages 2352-2360, May.
    32. Yunos, Jamaluddin Mohd & Hawdon, David, 1997. "The efficiency of the National Electricity Board in Malaysia: An intercountry comparison using DEA," Energy Economics, Elsevier, vol. 19(2), pages 255-269, May.
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    Keywords

    energy efficiency; european energy sector; data envelopment analysis;
    All these keywords.

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    • A - General Economics and Teaching

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