基于主成分分析法的上市公司财务绩效综合评价--以汽车制造业为例  

Comprehensive Evaluation of Financial Performance of Listed Companies Based on Principal Component Analysis Method--Taking the Automobile Manufacturing Industry as an Example

作　　者：唐心然 TANG Xinran(Qinghai Minzu University,Xining 810007,China)

机构地区：[1]青海民族大学,青海西宁810007

出　　处：《科技创新与生产力》2025年第2期73-75,79,共4页Sci-tech Innovation and Productivity

摘　　要：本文采用主成分分析法,旨在针对汽车制造业上市公司的财务绩效进行深入探究。具体以年度财务报表为数据基础,精心选取了涵盖盈利能力、偿债能力、营运能力以及发展能力的核心财务绩效指标。基于这些指标构建了一个综合性的绩效评价模型,并通过实证分析的方式,系统地评估了汽车制造行业上市公司的财务绩效状况。该研究不仅为企业财务绩效的综合评价提供了有力的工具,而且为相关决策提供了重要参考。This paper uses principal component analysis to conduct in-depth research on the financial performance of listed companies in the automotive manufacturing industry.Specifically,based on the annual financial statements,core financial performance indicators covering profitability,debt paying ability,operational ability,and development ability have been carefully selected.A comprehensive performance evaluation model is constructed based on these indicators,and the financial performance of listed companies in the automotive manufacturing industry is systematically evaluated through empirical analysis.This study not only provides a powerful tool for the comprehensive evaluation of corporate financial performance,but also provides important references for relevant decision-making.

关 键 词：主成分分析法 财务绩效评价 汽车制造业 

分 类 号：F275[经济管理—企业管理] F407.471[经济管理—国民经济] F416.471