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Data Price Determinants Based on a Hedonic Pricing Model
Big Data Research ( IF 3.3 ) Pub Date : 2021-08-08 , DOI: 10.1016/j.bdr.2021.100249
Ji Liang 1 , Chunhui Yuan 1
Affiliation  

Data have become an emerging factor of production; the development of the data trading market is accelerating, but data pricing remains in the initial exploration stage.

Based on hedonic price theory, this paper analyzes the factors influencing data prices. From the perspective of data transactions, this paper proposes construction of a data price characteristic index system from three aspects: data objects, data demanders and data suppliers. An empirical analysis is conducted based on 1010 data commodity sample data points from the Jingdong Vientiane platform. Through testing and estimation, it is considered that the hedonic price models can be fitted by a logarithmic function, taken as the function form of data hedonic price analysis. According to the analysis of the sample data sources from the data market, the number of free trials, data specification and quantity, data attention (number of data visits), data demand (sales volume), and preferential policies for businesses are negatively correlated with data price. Data evaluation satisfaction (number of collected users), request parameters (business), return parameters (business), data range, and response speed are positively correlated with data price. In addition, further analysis is made on the reason of the processing complexity variable of the data algorithm which does not conform to the expected estimation.



中文翻译:

基于特征定价模型的数据价格决定因素

数据已成为新兴的生产要素;数据交易市场正在加速发展,但数据定价仍处于初步探索阶段。

本文基于享乐价格理论,分析了影响数据价格的因素。本文从数据交易的角度,从数据对象、数据需求方和数据提供方三个方面提出构建数据价格特征指标体系。基于京东万象平台的1010个数据商品样本数据点进行实证分析。通过测试和估计,认为特征价格模型可以通过对数函数拟合,作为数据特征价格分析的函数形式。根据数据市场样本数据来源分析,免费试用次数、数据规格及数量、数据关注度(数据访问次数)、数据需求(销量)、企业优惠政策与数据价格呈负相关。数据评价满意度(采集用户数)、请求参数(业务)、返回参数(业务)、数据范围、响应速度与数据价格呈正相关。此外,进一步分析了数据算法处理复杂度变量不符合预期估计的原因。

更新日期:2021-08-19
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