Data Factor Valorization,Industry Cross-border Convergence,and High-quality Economic Growth
This paper internalizes the commodity and financial dichotomous attributes and privacy costs of data elements,es-tablishes a product trading market and financial trading market model for data elements,and theorizes the dynamic role of data valorization in influencing industrial cross-border integration.It theoretically explores the path and mechanism of data valorization driving industrial cross-border integration and high-quality economic growth,and using 256 prefecture-level cities from 2012 to 2020 as research samples,sets up national-level big data trading centers as pilot cities as quasi-natu-ral experiments to explore the impact of data valorization on high-quality economic growth using multi-period DID regres-sion.It has been found that data valorization can significantly improve the level of high-quality economic growth,and cross-border industry integration plays a mediating role in data valorization affecting high-quality economic growth.
data valorizationcross-border integration of industriesfinancial attributesbig data exchangehigh-quality economic growth
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万方数据
