基于聚类主成分分析法的AI算力企业价值评估研究
Research on AI Arithmetic Enterprise Value Assessment Based on Clustered Principal Component Analysis Method
摘要: 在人工智能(AI)技术迅猛发展的当下,AI算力企业已跃升为各行业创新的核心驱动力。随着AI技术的广泛应用,市场对AI算力的需求激增,驱动众多企业加大投资力度,AI算力市场呈现出蓬勃发展的态势。本文基于2023年20家AI算力企业的数据,综合考虑了财务与非财务因素,从偿债能力、盈利能力、营运能力、成长能力、技术创新能力及竞争能力六大维度出发,构建了一套全面的企业价值评估指标体系。通过运用聚类主成分分析法,本研究对这些企业的价值进行评估。结果显示,我国AI算力企业在经营管理上表现出明显的差异,因此,各企业应结合自身的优势与不足,制定相应的发展战略,以全面提升企业价值。
Abstract: At a time when Artificial Intelligence (AI) technology is developing rapidly, AI arithmetic enterprises have jumped to become the core driving force for innovation in various industries. With the widespread application of AI technology, the market demand for AI arithmetic has surged, driving many enterprises to increase their investment, and the AI arithmetic market has shown a booming trend. Based on the data of 20 AI arithmetic companies in 2023, this paper constructs a comprehensive enterprise value assessment index system from six dimensions, namely, solvency, profitability, operating ability, growth ability, technological innovation ability and competitive ability, taking into account both financial and non-financial factors. By using clustered principal component analysis, this study assesses the value of these enterprises. The results show that China’s AI arithmetic enterprises show obvious differences in operation and management, therefore, each enterprise should combine its own advantages and shortcomings and formulate a corresponding development strategy in order to comprehensively enhance its enterprise value.
参考文献
|
[1]
|
Damodaran, A. (2002) Investment Valuation: Tools and Techniques for Determining the Value of Any Asset. John Wiley & Sons.
|
|
[2]
|
Copeland, T.E., Koller, T. and Murrin, J. (2000) Valuation: Measuring and Managing the Value of Companies. John Wiley & Sons.
|
|
[3]
|
韩国臣. 企业价值评估方法的分析及应用研究[J]. 上海商业, 2023(5): 232-234.
|
|
[4]
|
赵治强, 张光明. EVA-突变级数法在物流企业价值评估中的应用研究[J]. 物流科技, 2024, 47(18): 69-76.
|
|
[5]
|
杨汉明, 曾森. 基于模糊聚类分析的股权制衡与企业价值研究[J]. 统计与决策, 2015, 31(4): 178-181.
|
|
[6]
|
吴锦涛, 何金素. 基于因子分析和聚类分析的企业投资价值评价研究——以沪深300股指为例[J]. 投资与合作, 2023(1): 42-44.
|
|
[7]
|
王红. 基于主成分分析法的公司绩效的影响因素[J]. 财会学习, 2019(31): 208-209.
|
|
[8]
|
董议远. 医药制造企业的价值评估研究——以X药业为例[J]. 广西质量监督导报, 2020(8): 126-127, 97.
|
|
[9]
|
张晓慧, 孔淑慧. 企业价值评估市场法中可比公司选择优化研究——基于主成分分析的视角[J]. 经济研究参考, 2015(72): 51-61.
|
|
[10]
|
曹梦蝶, 林东杰. 科创板人工智能企业价值评估研究——以虹软科技为例[J]. 中国资产评估, 2021(9): 21-31.
|
|
[11]
|
杨沛. 智能制造企业财务战略评价及优化研究——以东方精工为例[J]. 现代工业经济和信息化, 2024, 14(7): 204-205, 209.
|
|
[12]
|
陈希颖, 骆公志. 基于DCF与B-S定价模型的人工智能企业价值评估研究[J]. 中国物价, 2024(8): 21-26.
|