Efficiency and stock market performance in electric power generating companies

E. Gurgen, J. Norsworthy
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引用次数: 1

Abstract

Efficiency in energy production and distribution should have a positive effect on the market performance of the power companies equity issues. However, there are institutional factors that may dilute the effect. To investigate this linkage, we measure the efficiency of 41 electric power companies, as well as the market performance of their common stocks over a five-year period. To measure the efficiencies of power companies, we apply techniques of data envelopment analysis (DEA) that allow for different output mixes to characterize different companies. The extent of this linkage is important for management of electric power companies, especially those that are privatized. DEA is accomplished using linear programming methodology. The DEA approach is applied to data from 1986 to 1990. The growth in relative efficiency is calculated for a group of decision-making units, based on the ratio of outputs to inputs, where inputs are weighted by their market values and outputs by their costs in terms of inputs. These relative efficiency measures are then compared with the performances of common stocks of the companies for the same five-year period. DEA permits evaluation of both technical and allocative dimensions of the efficiency of an enterprise. Among other objectives, we attempt to determine whether changes in technical or allocative efficiency have greater or more immediate impact on stock market performance. Because regulatory practices intervene between efficiency and profitability, it is interesting to analyze the deviations from the expected market performances predicted by pure physical or engineering efficiency.
发电公司的效率和股票市场表现
能源生产和分配效率应对电力公司股权问题的市场表现产生积极影响。然而,一些制度因素可能会削弱这种效果。为了研究这种联系,我们测量了41家电力公司的效率,以及它们的普通股在五年期间的市场表现。为了衡量电力公司的效率,我们应用数据包络分析(DEA)技术,允许不同的输出组合来表征不同的公司。这种联系的程度对电力公司,特别是那些私有化的电力公司的管理是重要的。DEA是用线性规划方法完成的。数据分析方法适用于1986年至1990年的数据。相对效率的增长是根据产出与投入的比率为一组决策单位计算的,其中投入按其市场价值加权,产出按其按投入计算的成本加权。然后将这些相对效率指标与相同五年期间公司普通股的表现进行比较。数据分析允许对企业效率的技术和配置两方面进行评价。在其他目标中,我们试图确定技术或配置效率的变化是否对股票市场表现产生更大或更直接的影响。由于监管实践在效率和盈利能力之间进行干预,因此分析纯物理或工程效率预测的预期市场表现的偏差是很有趣的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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