摘要
数据日渐成为一种新兴的生产要素,数据资产在企业资产中的作用也日益突出,然而其价值的衡量还未形成系统合理的体系。为更科学评估企业数据资产价值,本文修正了多期超额收益模型中的折现率和收益期,增加了客户留存率参数,优化了通信企业未来超额收益的预测及数据资产价值的衡量方法。研究结果表明,改进后的多期超额收益法更适合数据资产价值特点、构成和价值影响因素,有助于解决传统收益法评估资产价值时存在的问题,为通信企业等数据类企业科学评估其数据资产价值提供参考。
Data has become an emerging factor of production, and the role of data assets in enterprise assets has become increasingly prominent. However, the measurement of its value has not yet formed a reasonable system. In order to evaluate the value of enterprise’s data assets more scientifically, this paper modifies the discount rate and earing period of the original multi-period excess income model, adds the parameter of customer retention rate, and optimizes the prediction of communication enterprise’s future excess return and the measurement method of data assets. The results show that the improved multi-period excess income method is more suitable for the value characteristics, composition and value influencing factors of data assets. It helps to solve the problems existing in the traditional income method in assessing the value of intangible assets, and provides communication enterprises a scientific reference in the evaluation of their data assets.
作者
胥子灵
刘春学
白彧颖
王玲
Xu Ziling;Liu Chunxue;Bai Yuying;Wang Ling(Department of Urban and Environment,Yunnan University of Finance and Economics,Kunming,650221)
出处
《中国资产评估》
2022年第3期73-80,F0003,共9页
Appraisal Journal of China
基金
国家自然科学基金资助项目(42062020)
云南省省院省校教育合作人文社会科学研究项目(SYSX202027)。
关键词
数据资产
多期超额收益法
通信企业
客户留存率
Data assets
Multi-period excess income method
Communication enterprises
Customer retention rate