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作 者:胡锴 熊焰 曾彩霞[2] HU Kai;ZENG Caixia;XIONG Yan
机构地区:[1]上海应用技术大学中欧知识产权学院 [2]同济大学法学院
出 处:《价格理论与实践》2024年第7期115-120,222,共7页Price:Theory & Practice
基 金:国家社会科学基金项目“平台型企业拒绝交易数据行为的规制研究”(项目编号:21BFX107)。
摘 要:探索符合数据产品特性的估值模式和价格形成机制,有利于完善数据场内交易制度和服务体系,支撑数据流通产业高质量发展。本文提出一种数据产品“估值—定价”组合方法,并以某“企业科创属性评价”数据产品为例,重点说明有关方法的具体运用。本文研究认为,针对当前数据产品交易估值定价瓶颈,可首先利用维度建模方法横向比较相似数据产品价值,再利用市场法进行价值与价格转化,该组合方法不仅有助于评价新增数据记录对产品价值变化的影响效应,也可提升产品评估的效率及可行性。基于研究结论,应加快产品创新度分级分类的开发与应用,强化贴近场景的交易估值定价研究,建立交易合同信息的收集或登记备案制度,为产品估值定价提供参考。Exploring a valuation model and price formation mechanism that aligns with the characteristics of data products is conducive to improving the data in-field trading system and service system,and supports the high-quality development of the data circulation industry.This paper proposes a valuation-pricing combination method for data products,and takes a corporate innovation attribute evaluation data product as an example to specifically illustrate the application of the relevant method.The research in this paper suggests that,in response to the current bottlenecks in the valuation and pricing of data product transactions,one can first use the dimensional modeling method to compare the value of similar data products horizontally,and then use the market method to transform value into price.This combination method not only helps to evaluate the impact effect of new data records on product value changes but also enhances the efficiency and feasibility of product evaluation.Based on the research conclusions,the development and application of product innovation degree classification should be accelerated,the research on transaction valuation and pricing close to the scene should be strengthened,and a system for collecting or filing transaction contract information should be established to provide references for product valuation and pricing.
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