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A Two-stage approach for energy efficiency analysis in European Union countries

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  • Georgia Makridou, Kostas Andriosopoulos, Michael Doumpos, and Constantin Zopounidis

Abstract

This paper evaluates the energy efficiency of EU countries over the period 2000-2010. At the first stage, data envelopment analysis (DEA) is used, combining multiple energy consumption data and economic outputs. The efficiency estimates obtained from the analysis are evaluated in a second stage through a multiple criteria decision aiding methodology (MCDA). The proposed non-parametric approach combining DEA with MCDA enables modeling of the problem in an integrated manner, not only providing energy efficiency estimates but also supporting the analysis of the main contributing factors, as well as the development of a benchmarking model for energy efficiency evaluation at the country level.

Suggested Citation

  • Georgia Makridou, Kostas Andriosopoulos, Michael Doumpos, and Constantin Zopounidis, 2015. "A Two-stage approach for energy efficiency analysis in European Union countries," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2).
    • Handle: RePEc:aen:journl:ej36-2-03
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    2. Iftikhar, Yaser & Wang, Zhaohua & Zhang, Bin & Wang, Bo, 2018. "Energy and CO2 emissions efficiency of major economies: A network DEA approach," Energy, Elsevier, vol. 147(C), pages 197-207.
    3. Drivas, Kyriakos & Rozakis, Stelios & Xesfingi, Sofia, 2019. "The effect of house energy efficiency programs on the extensive and intensive margin of lower-income households’ investment behavior," Energy Policy, Elsevier, vol. 128(C), pages 607-615.
    4. Borozan, Djula, 2018. "Technical and total factor energy efficiency of European regions: A two-stage approach," Energy, Elsevier, vol. 152(C), pages 521-532.
    5. Khalid Mehmood & Yaser Iftikhar & Shouming Chen & Shaheera Amin & Alia Manzoor & Jinlong Pan, 2020. "Analysis of Inter-Temporal Change in the Energy and CO 2 Emissions Efficiency of Economies: A Two Divisional Network DEA Approach," Energies, MDPI, vol. 13(13), pages 1-17, June.
    6. Luigi Grossi & Mauro Mussini, 2017. "Inequality in Energy Intensity in the EU-28: Evidence from a New Decomposition Method," The Energy Journal, International Association for Energy Economics, vol. 0(Number 4).
    7. Drivas, Kyriakos & Rozakis, Stelios & Xesfingi, Sofia, 2018. "The Effect of House Energy Efficiency Costs on the Participation Rate and Investment Amount of Lower-Income Households," MPRA Paper 86590, University Library of Munich, Germany.
    8. Keskin, Burak, 2021. "An efficiency analysis on social prosperity: OPEC case under network DEA slack-based measure approach," Energy, Elsevier, vol. 231(C).
    9. Chang, Ming-Chung, 2020. "An application of total-factor energy efficiency under the metafrontier framework," Energy Policy, Elsevier, vol. 142(C).
    10. Roger Chapman Burk & Richard M. Nehring, 2023. "An Empirical Comparison of Rank-Based Surrogate Weights in Additive Multiattribute Decision Analysis," Decision Analysis, INFORMS, vol. 20(1), pages 55-72, March.
    11. Djula Borozan, 2023. "Institutions and Environmentally Adjusted Efficiency," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 14(4), pages 4489-4510, December.
    12. Halkos, George & Bampatsou, Christina, 2016. "Investigating the effect of efficiency and technical changes on productivity," MPRA Paper 76287, University Library of Munich, Germany.
    13. Demiral, Elif E. & Sağlam, Ümit, 2021. "Eco-efficiency and Eco-productivity assessments of the states in the United States: A two-stage Non-parametric analysis," Applied Energy, Elsevier, vol. 303(C).

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