发电企业经济风险评价

A. Domnikov, E. Antipova, L. Domnikova
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引用次数: 5

摘要

本文对影响发电企业竞争力的经济风险进行了研究。作者提出了一种系统的经济风险诊断方法。利用各种发电技术的竞争优势,在经济风险特征因素分解方法的基础上,估计了各种发电技术的可能性。发电公司的发展过程涉及解决与向消费者可靠供电和提高发电效率有关的复杂问题。提高竞争力的问题需要开发一个专门的系统来诊断发电企业的经济风险。这意味着建立一个知识库,以便随后评价经济风险对能源竞争力的影响程度。提出了一种基于聚类和判别分析的经济风险诊断方法。它允许确定能源生产技术的特点,这些技术将提供高水平的竞争力。因此,研究商业环境的变化并利用市场的潜在优势获利成为可能。对经济风险的评价导致评估其对当地能源市场上存在的新能源产生的前景的影响程度。它还允许分析利用其竞争优势的可行性。提出的方法旨在改善不确定条件下的决策,最大限度地降低经济风险,提高竞争力。
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EVALUATION OF ECONOMIC RISKS FOR POWER-GENERATING COMPANIES
The paper presents the results of a study on the economic risks affecting the competitiveness of power-generating companies. A methodical approach to the diagnosis of economic risks has been developed by the authors. The possibilities are estimated by using competitive advantages of various generating technologies on the basis of the method of decomposition of factors, which characterize economic risks. The process of development of power-generating companies involves the solution of complex problems related with the reliable power supply to consumers and the increase in efficiency of energy generation. The problem of increasing competitiveness requires the development of a special system for diagnosing the economic risks for power-generating companies. This implies forming a knowledge base necessary for the subsequent evaluation of the level of influence of economic risks on the competitiveness of energy sources. The approach proposed for diagnosing economic risks proposed is based on cluster and discriminant analyses. It allows determining the characteristics of energy-generating technologies that will give a high level of competitiveness. As a consequence, it becomes possible to study changes in the business environment and profitably take advantage of the potential advantages of the market. The evaluation of economic risks leads to assessing the level of their impact on the prospects of the presence of new energy-generating sources on the local energy market. It also permits analysis on the feasibility of exploiting their competitive advantages. The approach proposed is aimed at improving decision-making in conditions of uncertainty, minimizing economic risks and increasing the competitiveness.
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