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作 者:赵公正[1] 杨幼明 吕正英 李颖 周林霄 ZHAO Gongzheng;YANG Youming;LV Zhengying;LI Ying
机构地区:[1]国家发展改革委价格监测中心 [2]上海数据交易所 [3]深圳数据交易所 [4]明尼苏达大学双城分校
出 处:《价格理论与实践》2024年第9期90-95,226,共7页Price:Theory & Practice
摘 要:数据作为新生产要素,定价是需要突破的难题,是发挥数据要素驱动作用的关键,需要深入研究。企业数据按照市场原则自主定价在理论和政策上已经取得共识,但在实践上还遇到很多困难,亟需找到突破的方向和路径。本文在研究成本法、市场法和收益法等定价方法的基础上,结合当前企业数据的主要定价方法实践,提出在企业数据市场的初期阶段,基于成本对企业数据定价,是市场参与各方容易接受并能有效促进交易达成的方式。针对具体的企业数据产品,需要探索多样化的成本定价法,满足市场参与各方的需要,这将成为企业数据市场在中后期实施市场化定价的重要基础,这对快速启动数据市场、破解数据定价难等问题具有重要意义。As a new factor of production,data pricing is a problem that needs to be solved,and it is the key factor in driving data to play a role,which needs to be further studied.The principle of market-based pricing has already achieved consensus in theory and policy,but there are still many difficulties in practice that needs to find a way to breakthrough urgently.Based on the study of pricing methods,such as cost method,market method and benefit method,combined with the practice of the main pricing methods of enterprise data,this paper proposes that cost method can be easily accepted by the market participants and effectively promote the transaction during the initial stage of market.When it comes to the specific enterprise data products,it is necessary to explore a variety of pricing models to meet the needs of market participants,which will become an important basis for the market-based pricing in future.It is also great significance for the development of the market and solving the problem of data pricing.
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