数据定价的双重维度:从产品价格到资产价值

The Dual Dimension of Data Pricing:From Product Price to Asset Value

数据定价是数据要素市场的基础机制,但尚未得到清晰界定。数据定价可以划分为数据产品价格、数据资产价值双重维度。数据产品价格的主题是标准化,通过梳理数据产品及其定价模式的主要类型,可以将数据产品价格分解为数据资源和服务终端两项特征价格,从而建立起标准化的价格描述。数据资产价值的主题是可计量,通过梳理数据要素的主体多元性、形态重塑性和价值时变性等新特征,可以明确满足特定条件的数据产品是数据资产的较优表达,且公允价值法是数据资产价值计量的较优方法。场内交易可以将数据产品价格和数据资产价值两个维度打通,形成标准化产品价格与可计量资产价值之间的锚定关系。

Data pricing is the fundamental mechanism of the data element market,but it has not yet been clearly defined.Data pricing can be divided into two dimensions:data product price and data asset value.The theme of data product prices is standardization.By sorting out the main types of data products and their pricing models,data product prices can be decomposed into two characteristic prices:data re-sources and service terminals,thus establishing standardized price descriptions.The theme of data asset value is measurability.By sorting out new features such as subject diversity,morphological reshaping,and value variability of data elements,it can be clarified that data products that meet specific conditions are the preferred expression of data assets,and the fair value method is the preferred method for measuring the value of data assets.On exchange trading can connect the two dimensions of data product prices and data asset values,forming an anchoring relationship between standardized product prices and measurable asset values.