基于数据市场类型的数据定价模型研究

任洪润; 朱扬勇

doi:10.11959/j.issn.2096-0271.2023052

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基于数据市场类型的数据定价模型研究

研究 | 更新时间：2024-06-03

- 基于数据市场类型的数据定价模型研究
- Research on data pricing model based on data market type
- 大数据 2023年9卷第4期页码：116-138
- 作者机构：
  
  1. 复旦大学计算机科学技术学院，上海 200438
  2. 上海市数据科学重点实验室，上海 200438
- 作者简介：
  
  [ "任洪润（1995- ），女，复旦大学计算机科学技术学院、上海市数据科学重点实验室博士研究生，主要研究方向为数据科学和数字经济，近期研究重点为数据产品生产、流通及定价等" ]
  [ "朱扬勇（1963- ），男，博士，复旦大学计算机科学技术学院教授，复旦大学数据产业研究中心副主任。《大数据》期刊编委会副主任，农业大数据产业技术战略联盟副理事长兼首席科学家，大数据协同安全国家工程实验室副理事长，中国自动化学会国防大数据分会副主任。国际数据科学倡导者，提出数据界、数据学、数据身、数据自治、数据财政等概念和体系。发表学术论文200多篇，出版《数据学》《旖旎数据》《特异群组挖掘》《数据自治》等专著，并任《大数据技术与应用丛书》（22册）主编、《大数据资源》主编、《大数据技术》主编。主要研究方向为数据科学和数字经济，近期研究重点为数字化转型、数据财政、数据资产、数据自治与数据跨境等" ]
- 基金信息：
  
  上海市科委发展基金资助项目;Shanghai Science and Technology Development Fund Project(22DZ1200704)
- DOI：10.11959/j.issn.2096-0271.2023052
  中图分类号： TP311
- 网络首发：2023-07，
  
  纸质出版：2023-07-15
- 稿件说明：
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任洪润, 朱扬勇. 基于数据市场类型的数据定价模型研究[J]. 大数据, 2023,9(4):116-138.

Hongrun REN, Yangyong ZHU. Research on data pricing model based on data market type[J]. Big data research, 2023, 9(4): 116-138.
任洪润, 朱扬勇. 基于数据市场类型的数据定价模型研究[J]. 大数据, 2023,9(4):116-138. DOI： 10.11959/j.issn.2096-0271.2023052.

Hongrun REN, Yangyong ZHU. Research on data pricing model based on data market type[J]. Big data research, 2023, 9(4): 116-138. DOI： 10.11959/j.issn.2096-0271.2023052.

摘要

市场是产品价格形成的过程，不同市场的价格形成方式是不一样的，产品定价模型是对市场形成产品价格过程的一种抽象。当前，数据的市场需求已经形成，但有效的数据市场尚未形成，数据定价还在探索阶段。现有的数据定价模型大部分是针对某些特定数据交易场景设计的，而不是针对特定数据市场类型设计的。考虑数据市场的经济学市场类型，从经济学视角将当前数据市场划分为卖方垄断市场、买方垄断市场、寡头垄断市场、中心化完全竞争市场以及去中心化完全竞争市场5种数据市场类型，将现有的数据定价模型归纳到相应的数据市场类型中。通过分析数据市场类型与数据定价模型的依存关系，提出数据定价的“市场类型原则”，为数据要素市场建设及数据定价提供理论指导。

Abstract

The market is the process of establishing product prices

and the methods of establishing prices in different markets are different.The pricing model of product is an abstraction of the process of establishing product prices in the market.At present

the market demand for data has been formed

but an effective data market has not yet been formed and data pricing is still in the state of exploration.Most of the existing data pricing models are designed for some specific data transaction scenarios

rather than for specific types of data markets.This paper considers the economic market types of the data market

and divides the current data market into five data market types from the perspective of economics:monopoly market

monopsony market

oligopoly market

centralized perfect competition market and decentralized perfect competition market.Existing data pricing models are summarized into corresponding data market types.By analyzing the dependence relationship between data market types and data pricing models

the ＆quot;market type principle＆quot; of data pricing is proposed to provide theoretical guidance for the construction of data element markets and its data pricing.

关键词

Keywords

references

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