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The Renewable Energy Development: A Nonparametric Efficiency Analysis

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Author Info

  • Aldea, Anamaria

    ()
    (Department of Economic Informatics and Cybernetics, Academy of Economic Studies)

  • Ciobanu, Anamaria

    ()
    (Department of Finance, Academy of Economic Studies)

  • Stancu, Ion

    ()
    (Department of Finance, Academy of Economic Studies)

Abstract

The paper’s main objective is to examine the efficiency of renewable energy development in the EU using 2009 national data. We apply nonparametric techniques to determine efficiency estimators that provide an insight into the quality of renewable energy policy and its impact on the EU countries. We use nonparametric techniques to determine the DEA efficiency estimates and a bootstrap algorithm that corrects the efficiency estimates and also provides confidence intervals for the bias-corrected efficiency estimates. Moreover, our analysis reveals the energy policy impact by country on the development of renewable energy markets. The implications of the results are discussed in relation to the current developments in the EU renewable energy market and recent policy initiatives.

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File URL: http://www.ipe.ro/rjef/rjef1_12/rjef1_2012p5-19.pdf
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Bibliographic Info

Article provided by Institute for Economic Forecasting in its journal Romanian Journal for Economic Forecasting.

Volume (Year): (2012)
Issue (Month): 1 (March)
Pages: 5-19

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Handle: RePEc:rjr:romjef:v::y:2012:i:1:p:5-19

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Related research

Keywords: efficiency estimates; non-parametric techniques; bootstrap algorithm; DEA; renewable energy;

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References

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  13. Toru Hattori & Tooraj Jamasb & Michael Pollitt, 2005. "Electricity Distribution in the UK and Japan: A Comparative Efficiency Analysis 1985-1998," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2), pages 23-48.
  14. Simar, Leopold & Wilson, Paul W., 2007. "Estimation and inference in two-stage, semi-parametric models of production processes," Journal of Econometrics, Elsevier, vol. 136(1), pages 31-64, January.
  15. Simar, L. & Wilson, P.W., 1998. "A General Methodology for Bootstrapping in Nonparametric Frontier Models," Papers 9811, Catholique de Louvain - Institut de statistique.
  16. Giannakis, Dimitrios & Jamasb, Tooraj & Pollitt, Michael, 2005. "Benchmarking and incentive regulation of quality of service: an application to the UK electricity distribution networks," Energy Policy, Elsevier, vol. 33(17), pages 2256-2271, November.
  17. Simar, L. & Wilson, P.W., 2000. "Performance of the Bootstrap for DEA Estimators and Iterating the Principle," Papers 2, Catholique de Louvain - Institut de statistique.
  18. Picazo-Tadeo, Andres J. & Reig-Martinez, Ernest & Hernandez-Sancho, Francesc, 2005. "Directional distance functions and environmental regulation," Resource and Energy Economics, Elsevier, vol. 27(2), pages 131-142, June.
  19. Zhou, Peng & Poh, Kim Leng & Ang, Beng Wah, 2007. "A non-radial DEA approach to measuring environmental performance," European Journal of Operational Research, Elsevier, vol. 178(1), pages 1-9, April.
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