摘要
在大数据、云计算、物联网和人工智能等数字技术的推动下,个人数据被企业或政府收集、存储、加工、分析和应用,己经成为关键生产要素,在提高企业生产经营能力、政府治理能力和居民生活水平等方面发挥着越来越重要的作用。从统计与核算角度对个人数据进行系统研究,对于理解个人数据在经济社会发展中的作用,更准确细致地构建数据资产核算框架具有重要意义。本文探讨了个人数据的概念、分类与特征,并结合案例剖析了个人数据的价值链过程,界定了个人数据资产的范围。同时,对个人数据的估计方法进行了比较研究,对阿里巴巴、腾讯、百度、京东、美团5家典型消费互联网平台所持有的个人数据展开估价试算,提出了应建立基于供给和需求相结合的数据资产价值测度框架的思考。最后,本文探讨了个人数据开发应用中存在的问题,为推动个人数据开发应用健康有序发展提出了对策建议。
Data as an important factor of production has gradually become a consensus,and personal data is an important part of enterprise and government's data,which plays an important role in the production and operation of enterprises and the management of the government.What kind of personal data can become data assets,and how large are the scale of the assets are currently unanswered questions.We try to answer these questions,which are of great significance for constructing a data asset accounting framework accurately and meticulously.This paper discusses the concept,classification and characteristics of personal data,and analyzes the production process of personal data using data pyramid and data value chain,as well as defines the scope of personal data assets.At the same time,this paper is based on five typical consumer internet platforms such as Alibaba,Tencent,Baidu,JD and Meituan to conduct a trial calculation of their personal data asset,and implement the personal data valuation method using Chinese corporate.Furthermore,we propose the establishment of data asset accounting framework based on the combination of data supply and demand.Finally,we discuss the problems and solutions in the use of personal data,in an attempt to provide a decision-making reference for the sustainable use of personal data.
作者
许宪春
唐雅
张钟文
Xu Xianchun;Tang Ya;Zhang Zhongwen
出处
《统计研究》
CSSCI
北大核心
2022年第2期18-32,共15页
Statistical Research
基金
国家自然科学基金重大研究计划培育项目“大数据背景下的数据资产统计与核算问题研究”(92046013)
清华大学国家高端智库课题“数据资产价值测度问题研究”(2020ZZBF0134)。
关键词
个人数据
数据资产
数据价值链
数据估价方法
Personal Data
Data Assets
Data Value Chain
Valuation Methods of Data
