Dilemmas and Suggestions on Market-based Data Allocation

Authors

Jinzhao LIU, Business School, Beijing Technology and Business University, Beijing 100048, China Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing 100190, ChinaFollow
Shouyang WANG, Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing 100190, China School of Economics and Management, University of Chinese Academy of Sciences, Beijing 100190, China Center for Forecasting Science, Chinese Academy of Sciences, Beijing 100190, ChinaFollow

Keywords

data element, marketization, data right delimitation, data pricing, trading mechanism

Document Type

Research on Market-oriented Allocation of Data Elements

Abstract

Big data is the primary engine for advancing the development of the digital economy, and market-based data allocation is a crucial method for promoting the development of China's digital economy. However, the current issues of "unclear ownership", "difficult pricing", and "imperfect transaction mechanisms" have severely constrained the market-based allocation of data. The study begins with a discussion of the dilemma of data rights delimitation, pricing, and trading. Then review the strategic initiative of international data market construction and the development of China's data trading market. Finally, based on the practice of China's big data market construction, the study proposes some recommendations for constructing a high-level data element market. It is expected that the publication of this research would attract more scholars to investigate the market-based data allocation from different perspectives.

First page

1435

Last Page

1443

Language

Chinese

Publisher

Bulletin of Chinese Academy of Sciences

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Recommended Citation

LIU, Jinzhao and WANG, Shouyang (2022) "Dilemmas and Suggestions on Market-based Data Allocation," Bulletin of Chinese Academy of Sciences (Chinese Version): Vol. 37 : Iss. 10 , Article 9.
DOI: https://doi.org/10.16418/j.issn.1000-3045.20220721001
Available at: https://bulletinofcas.researchcommons.org/journal/vol37/iss10/9