企业数据产品分类分级评估方法及贡献测度研究

Research on Classification and Grading Evaluation of Enterprise Data Products and Contribution Measurement

数据被誉为21世纪的原材料,企业数据要成为市场上可流转交易的资产,需数据产品化,各分类分级数据产品价值体现有自身特点。笔者梳理了数据产品评估方法包括衍生方法,认为收益法应是数据产品评估较主要的方法,就各分类分级数据产品与适用方法及具体模型进行了相互匹配,对数据产品评估三种基本方法相关参数的确定提出了改进建议,对数字经济中生产要素贡献测度几种方法进行归纳分析并构建了包括五生产要素的C-D生产函数,结合案例解析了数据资产评估及贡献测度。

Data is known as the raw material of the 21st century. If enterprise data is to become an asset that can be circulated and traded in the market, it needs to be productized. The value of each classified and graded data product reflects its own characteristics. The author sorts out the data product evaluation methods including derivative methods,and believes that the income method should be the main method for data product evaluation. The author matches each classified and graded data product with the applicable methods and specific models, puts forward improvement suggestions for the determination of the relevant parameters of the three basic methods of data product evaluation, and summarizes and analyzes several methods for measuring the contribution of production factors in the digital economy.A C-D production function including 5 production factors is constructed, and data asset evaluation and contribution measurement are analyzed in combination with cases.