ANALYSIS OF RENEWABLE ENERGY DEVELOPMENT USING BOOTSTRAP EFFICIENCY ESTIMATES

作者：Aldea Anamaria^*; Ciobanu Anamaria

来源：Economic Computation and Economic Cybernetics Studies and Research, 2011, 45(1): 77-90.

• efficiency estimates
• non-parametric techniques
• bootstrap algorithm
• DEA
• renewable energy

This paper main objective is to examine the efficiency of renewable energy development in EU using national level data in 2008 and 2009. We apply nonparametric techniques to determine efficiency estimators that will give us an insight about the quality of renewable energy market. We employ Data Envelopment Analysis techniques and Bootstrap estimation methods, which allow us to obtain more precise estimations than conventional methods. Our paper is a good example of why Bootstrap algorithms should be used when we make use of finite samples and non-parametric methods to obtain efficiency estimates. We use R 2.4.0 language and FEAR 1.1 libraries in order to implement the above techniques. Moreover, our analysis has important policy relevant implications for the performance of renewable energy markets. The present paper is based on a previous work performed for a paper presented at X European Workshop in Efficiency and Productivity, France - July 2007.

• 出版日期2011