Data Trading Platform Construction Empowers New Quality Productivity Development: Theoretical Logic and Mechanism Effects
CHEN Jian-xing1, JI Qiang2
1. School of Credit Management, Guangdong University of Finance, Guangzhou, Guangdong, 510632; 2. Research Institute of Shanghai Data Exchange, Shanghai, 201203
Abstract：If data cannot be fully circulated as a new production factor, it will lead to inefficient regional resource allocation and seriously restrict improving new quality productivity. Using the exogenous shock of data trading platform construction and data at the prefecture-level city level, this paper studies whether the flow of data elements brought about by the construction of data trading platforms can improve new quality productivity. The empirical results show that the data trading platform significantly improves the new quality productivity at the prefecture-level city level. The impact of data trading platform construction on new quality productivity in the eastern region, the southern region, and regions with high industrial structure and high human capital is more significant. It improves new quality productivity by reducing the degree of resource mismatch between regions, increasing the number of scientific research and technology practitioners, and improving the regional labor structure. The most direct role of the establishment of a data trading platform is to break the transaction barriers between data in different enterprises or regions, reduce the circulation cost and information asymmetry of data, and promote the circulation and transaction of data elements. By accelerating the digital transformation of enterprises, data trading platforms help guide the optimal allocation of capital and labor factors, thereby improving resource mismatch at the city level. Therefore, it is necessary to actively promote the transfer of over-the-counter data transactions to on-site transactions, establish a unified and authoritative data trading standard system, cultivate a national integrated data market, continuously deepen the functions and influence of data trading platforms, and give full play to their boosting effect on the development of new quality productivity.
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2025, Vol. 42 
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