摘要
数据资产化是推动数据要素市场化流通的关键环节。本文建立了数据资产智能合约会员定价、数据资产交易平台定价和数据资产组合定价模型,针对数据所有权和用益权交易方式,研究数据资产价格与交易收益及效用之间的关系。本文研究发现:数据资产定价机制、交易主体收益与效用等是影响数据要素市场化流通的主要因素。通过机制分析表明:一方面,利用区块链智能合约对数据交易进行跟踪与定价,以实名制会员注册信息,形成数据资产交易合同验证等智能化会员合约,能在有效保障数据交易安全的前提下,降低数据资产交易价格;另一方面,通过数据估值与资产定价两阶段定价模型,能有效挖掘数据价值和优化资产价格,形成不同权属的数据资产动态定价策略,实现供需双方效益最大化。而且数据交易成本越高,生命周期越短,买方效用越低,市场评价越差,客户越容易流失。因此,需要加强数据交易市场与资本市场深度融合,建立规范、高效、安全、便利的数据资产化服务体系,促进数据要素市场化流通。
Data capitalization is key to promoting the marketized circulation of data element.This paper establishes models for pricing data asset by smart contract members,pricing via data asset trading platform and data asset portfolio pricing models,and studies the relationship between data asset price,transaction benefit and utility in view of data ownership and usufruct.The results indicate that the pricing mechanism of data assets,benefit and utility of transaction entities are the main factors affecting the marketized circulation of data elements.The mechanism analysis shows that,on the one hand,using blockchain smart contracts to track and price data transactions,and using real-name member registration information to form smart member contracts such as data asset transaction contract verification can reduce the transaction price of data assets under the premise of effectively guaranteeing the security of data transactions.On the other hand,through the two-stage pricing model of data valuation and asset pricing,both the supply and demand sides can effectively recognize the value of data and optimize the asset price,form dynamic pricing strategies for data assets with different ownership rights and maximize the utility.Moreover,the higher the data transaction cost,the shorter the life cycle,the lower the buyer's utility,the worse the market evaluation,and the easier the customer loss.Therefore,it is necessary to strengthen the deep integration of data trading market and capital market,establish a standardized,efficient,safe and convenient data capitalization service system,and promote the marketization circulation of data elements.
作者
朱小能
李雄一
ZHU Xiaoneng;LI Xiongyi(Shanghai University of Finance and Economics,Shanghai,China;Shanghai Institute of International Finance and Economics,Shanghai,China)
出处
《经济学动态》
CSSCI
北大核心
2023年第9期33-52,共20页
Economic Perspectives
基金
国家社会科学基金重大项目(20&ZD102)
上海市高峰学科创新团队项目(2018110262)。
作者简介
朱小能,上海财经大学金融学院、上海国际金融与经济研究院,邮政编码:200433,电子邮箱:zhu.xiaoneng@shufe.edu.cn;通讯作者:李雄一,上海财经大学金融学院,邮政编码:200433,电子邮箱:lixyil@163.com。
