Research on Financial Performance Evaluation of Listed Companies in the Electric Power Industry: Based on Factor Analysis and Cluster Analysis

DOI: https://doi.org/10.62517/jmsd.202512302

Author(s)

Yiting Wang, Xiaoqing Yang

Affiliation(s)

School of Management, Hebei University of Geology, Shijiazhuang, Hebei, China

Abstract

Against the backdrop of the “dual carbon” goals and energy structure transformation, the power industry, as a pillar industry of the national economy, must adopt a scientific financial performance evaluation system. This paper takes 78 listed power companies as its research subjects, constructing an evaluation system comprising 11 financial indicators based on the principles of appropriateness, scientific rigor, and systematicity. Utilizing SPSS 26 software, factor analysis and cluster analysis were employed to conduct empirical and comprehensive evaluations, with the cluster results used to analyze issues. The study found that there is significant variation in financial performance among enterprises, with different categories of enterprises exhibiting varying strengths and weaknesses in profitability, debt-repayment capacity, and other areas. Some enterprises are facing development bottlenecks. The article proposes recommendations tailored to different types of enterprises and the overall industry situation to help power enterprises enhance performance, achieve sustainable development under the “dual carbon” goals, and strengthen competitiveness.

Keywords

Electric Power; Industry; Factor Analysis; Cluster Analysis; Financial Performance

References

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