数据产品定价策略:独占式与非独占式定价  

Data product pricing strategy:exclusive or non-exclusive pricing

作　　者：徐艺轩 吴冰[1] XU Yixuan;WU Bing(School of Economics and Management,Tongji University,Shanghai 200092,China)

机构地区：[1]同济大学经济与管理学院,上海200092

出　　处：《大数据》2025年第2期177-187,共11页Big Data Research

摘　　要：从数据交易实践来看,数据交易定价机制尚未成熟。探究“独占式定价”与“非独占式定价”对交易各方的影响,丰富了学术界对数据交易的研究,为数据产品提供方制定实际定价策略提供参考。以数据规模和数据产品价格为变量,构建经济学模型,考虑价格歧视及交易市场各方的相互影响,对比分析“独占式定价”与“非独占式定价”两种数据产品的定价方式。研究发现,在数据产品交易市场中,数据产品提供方应根据市场活跃度调整定价策略。市场活跃度低时,“独占式定价”可剥夺消费者剩余;市场活跃度高时,“非独占式定价”因边际成本低而利润高。同时,数据产品提供方应重视产品质量,满足市场需求,以获取更高利润并推动市场健康发展。忽视市场变化、产品质量、市场需求将导致利润流失和市场发展受阻。From the perspective of data trading practice,the pricing machanism for data trading is not mature.This study aims to explore the impact of"exclusive pricing"and"non-exclusive pricing"on all parties involved in transactions.By doing so,it not only enhances academic research on data transactions but also provides useful insights for data product providers when they make practical pricing strategies.An economic model was constructed,with data scale and data product price as the variables.Price discrimination and the mutual influence among various parties in the trading market were taken into account.A comparative analysis was conducted between the pricing strategies of"exclusive pricing"and"non-exclusive pricing"for data products.The study finds the providers should adjust their pricing strategies based on market change in the data product trading market.When the market is inactive,"exclusive pricing"can deprive consumers of surplus;when the market is active,"non-exclusive pricing"can generate higher profits due to its low marginal cost.At the same time the providers should prioritize product quality and meet market demand to achieve higher profits and promote the healthy development of the market.Ignoring market change,product quality and market demand will lead to profit loss and hinder market development.

关 键 词：数据产品 独占式定价 非独占式定价 价格歧视 

分 类 号：F274[经济管理—企业管理]