| 崔笛,高影繁,李岩.基于等级赋分法的经济欠发达地区企业深度价值评估方法研究[J].情报工程,2025,11(2):090-099 |
| 基于等级赋分法的经济欠发达地区企业深度价值评估方法研究 |
| A Study on the Deep Value Evaluation Method of Enterprises in Economically Underdeveloped Areas Based on Graded Score |
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| DOI： |
| 中文关键词: 企业价值评估；等级赋分；经济欠发达地区 |
| 英文关键词: Enterprise Value Evaluation; Graded Score; Economically Undeveloped Areas |
| 基金项目:中国科学技术信息研究所创新基金青年项目“基于技术特异性的产业链核心企业识别方法研究”（QN2023-06）；中国科学技术信息研究所重点工作项目“智能情报融合创新体系建设研究与应用”（ZD2023-11）。 |
| 作者 | 单位 | | 崔笛 | 中国科学技术信息研究所 | | 高影繁 | 中国科学技术信息研究所 | | 李岩 | 中国科学技术信息研究所 |
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| 摘要点击次数: 21 |
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| 中文摘要: |
| [目的/意义] 在经济欠发达地区，通常是少数大规模龙头企业和大量中小微企业并存的发展模式，采用传统的多指标综合评分方法开展企业深度价值评估时，极易出现由于区分度不够而导致部分优质企业难以被发现的问题，因而需要构建一种更适用于上述地区企业深度价值评估的方法。[方法/过程] 通过将等级赋分的思想纳入企业深度价值评估，构建了一种以等级赋分法为基础，适用于多维度企业深度价值评估的评分方法，并以西部某经济欠发达地区高新技术企业为样本开展实证研究。[局限]仅以单一省份的高新技术企业为研究对象，且仅以简单的归一化评分方法作为参照来反映研究方法应用于经济欠发达地区企业深度价值评估的改善效果，仍需纳入更大的评估样本和更多的评分方法进行对比。[结果/结论]相比于归一化评分方法，研究所述方法具有更高的区分度，且评选的优质企业在论文、专利、标准等易受极差影响的关键创新产出指标上表现更好，有助于发现具备独特优势的亮点企业。 |
| 英文摘要: |
| [Objective/Significance] In economically underdeveloped areas, the coexistence of a small number of large-scale leading enterprises and a large number of small and medium-sized enterprises is the usual development pattern. When using traditional multi indicator comprehensive scoring methods to conduct in-depth value evaluation of enterprises, it is easy to encounter the problem of insufficient differentiation, which makes it difficult to discover some high-quality enterprises. Thus,constructing a method that is more suitable for deep value evaluation of enterprises in those areas is necessary. [Methods/Processes] By incorporating the idea of graded scoring into the deep value evaluation of enterprises, this study constructed a graded scoring method that is suitable for multi-dimensional deep value evaluation of enterprises and conducted empirical research on the high-tech enterprises of an economically underdeveloped province in the western region. [Limitations] Only high-tech enterprises in a certain province are taken as the research object, and only a simple normalized scoring method is used as a reference to reflect the improvement effect of this method. It is still necessary to include a larger evaluation sample and more comprehensive evaluation methods for comparison. [Results/Conclusions] Compared to the simple normalized scoring method, the graded scoring method shows higher discrimination, and the selected high-quality enterprises perform better on scale indicators that are easily affected by range, such as the numbers of papers, patents, and standards, etc., which can effectively help identify outstanding enterprises with unique advantages. |
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