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The Renewable Energy Development: A Nonparametric Efficiency Analysis

Author

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  • 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.

Suggested Citation

  • Aldea, Anamaria & Ciobanu, Anamaria & Stancu, Ion, 2012. "The Renewable Energy Development: A Nonparametric Efficiency Analysis," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(1), pages 5-19, March.
    • Handle: RePEc:rjr:romjef:v::y:2012:i:1:p:5-19
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    References listed on IDEAS

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    Cited by:

    1. Mohd Chachuli, Fairuz Suzana & Mat, Sohif & Ludin, Norasikin Ahmad & Sopian, Kamaruzzaman, 2021. "Performance evaluation of renewable energy R&D activities in Malaysia," Renewable Energy, Elsevier, vol. 163(C), pages 544-560.
    2. Tomas Baležentis & Irena Kriščiukaitienė & Alvydas Baležentis, 2014. "A nonparametric analysis of the determinants of family farm efficiency dynamics in Lithuania," Agricultural Economics, International Association of Agricultural Economists, vol. 45(5), pages 589-599, September.
    3. Alexandra-Anca Purcel, 2020. "Developing states and the green challenge. A dynamic approach," Post-Print hal-03182341, HAL.
    4. Alexandra-Anca PURCEL, 2020. "Developing States and the Green Challenge. A Dynamic Approach," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(2), pages 173-193, July.

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    More about this item

    Keywords

    efficiency estimates; non-parametric techniques; bootstrap algorithm; DEA; renewable energy;
    All these keywords.

    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • C38 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Classification Methdos; Cluster Analysis; Principal Components; Factor Analysis
    • Q01 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - General - - - Sustainable Development
    • Q20 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - General

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