The role of data trading platforms (DTPs) in digital technology innovation: Mechanisms and evidence from China

IF 2.8 2区 经济学 Q1 ECONOMICS
Journal of Policy Modeling Pub Date : 2025-11-01 Epub Date: 2025-09-07 DOI:10.1016/j.jpolmod.2025.09.003
Yun Yang , Yushuang Li , Xueping Liang
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引用次数: 0

Abstract

Data constitute the cornerstone of the digital technology era and the key to driving the paradigm shift of digital technology innovation and improving innovation efficiency. However, this cannot be achieved without an efficient and secure data trading system. To enhance the role of data in digital technology innovation, some prefecture-level cities in China have established data trading platforms(DTPs). Based on data from Chinese listed companies for the period 2010–2023, this paper examined the influence of DTPs on digital technology innovation of companies by applying a time-varying difference-in-differences (DID) model. We find that the number of digital technology innovations of companies increased by 3.1 % in prefecture-level cities with DTPs compared with those without DTPs, validating the extraordinary role of data trading in enhancing the dynamic capabilities of the digital technology innovations of companies. Heterogeneity results reveal that the facilitating function of DTPs in digital technology innovation of companies is strengthened with increased levels of digital infrastructure and digital ecosystems in cities and enhanced with increased levels of data utilization and degrees of intellectual property protection of companies. Mediating mechanism results indicate that facilitating same-industry technology spillover, enhancing cross-industry technology spillover, and boosting innovation breakthrough capability are the main mechanisms through which DTPs affect the digital technology innovation of companies. This study provides insights for policymakers on how to improve digital infrastructure, optimize digital ecosystems, protect data property rights, and support companies in strengthening their data capabilities to effectively enhance the role of DTPs in digital technology innovation.
数据交易平台在数字技术创新中的作用:机制和来自中国的证据
数据是数字技术时代的基石,是推动数字技术创新范式转变、提高创新效率的关键。然而,如果没有一个有效和安全的数据交易系统,这是不可能实现的。为了增强数据在数字技术创新中的作用,中国一些地级市建立了数据交易平台(dtp)。本文以2010-2023年中国上市公司数据为基础,运用时变差分中差(DID)模型研究了dtp对企业数字技术创新的影响。我们发现,与没有dtp的地级市相比,有dtp的地级市企业的数字技术创新数量增长了3.1%,验证了数据交易在增强企业数字技术创新动态能力方面的非凡作用。异质性结果表明,城市数字化平台对企业数字技术创新的促进作用随着城市数字基础设施和数字生态系统水平的提高而增强,随着企业数据利用水平和知识产权保护程度的提高而增强。中介机制研究结果表明,促进同行业技术溢出、增强跨行业技术溢出和提升创新突破能力是企业数字化技术创新的主要影响机制。本研究为政策制定者提供了关于如何改善数字基础设施、优化数字生态系统、保护数据产权和支持企业加强数据能力的见解,以有效增强dtp在数字技术创新中的作用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
6.20
自引率
11.40%
发文量
76
期刊介绍: The Journal of Policy Modeling is published by Elsevier for the Society for Policy Modeling to provide a forum for analysis and debate concerning international policy issues. The journal addresses questions of critical import to the world community as a whole, and it focuses upon the economic, social, and political interdependencies between national and regional systems. This implies concern with international policies for the promotion of a better life for all human beings and, therefore, concentrates on improved methodological underpinnings for dealing with these problems.
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