管理基准和生产力分析的理论、技术和应用

Per J. Agrell, P. Bogetoft
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引用次数: 15

摘要

最先进的基准方法,特别是数据包络分析(DEA)和随机前沿分析(SFA),是经济监管中行之有效的信息工具,可为能源网络运营商设定合理的收入上限。然而,监管基准不仅仅是生产力分析的另一种应用。本章回顾了这些应用所基于的经济理论,以及必要的活动分析、数据分析和模型开发的附加阶段。本章还详细分析了在国际电力传输和挪威配电网络中的应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Theory, Techniques, and Applications of Regulatory Benchmarking and Productivity Analysis
State-of-the-art benchmarking methods, and in particular data envelopment analysis (DEA) and stochastic frontier analysis (SFA), are well-established and informative tools in economic regulation to set reasonable revenue caps for energy network operators. However, regulatory benchmarking is not just another application of productivity analysis. This chapter reviews the economic theory upon which these applications are based and the additional stages in activity analysis, data analysis, and model development that are necessary. The chapter also provides detailed analyses of the applications in international electricity transmission and for the Norwegian electricity distribution networks.
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