摘要
数据要素市场的建立遵循传统生产要素市场化配置的一般规律,但是存在标的物不明确、定价和交易机制不健全等难题。通过细分数据要素市场,构建了面向不同标的物的数据要素三级市场体系,并进一步分析了影响数据价值释放的主导因素。通过对市场主体开展成本收益分析,建立了数据要素市场的经济性分析模型,并结合地方实践案例,印证了数据要素三级市场的经济性优势。
Although the establishment of the data factor market follows the general law of traditional marketoriented allocation of production factors,there still exists some unsolved problems such as unclear object of the transaction,imperfect pricing and transaction mechanisms,etc.By segmenting the data factor market,a three-tier market system for the different objects of data transaction was constructed and the dominant factors affecting the release of the data value in each market were further analyzed.Through the cost-benefit analysis of market entities,the economic analytical model of the data factor market was established and the economic advantages of the three-tier market were confirmed by data factories applying local practice cases.
作者
陆志鹏
LU Zhipeng(China Electronics Corporation,Shenzhen 518057,China)
出处
《大数据》
2022年第4期85-93,共9页
Big Data Research
关键词
数据要素市场
数据交易
经济性分析
data factor market
data transaction
economic analysis