The power of public data: How does public data shape the spatial distribution of China's AI Firms?

Qiang Ji and Song Nie

Economics Letters, 2025, vol. 255, issue C

Abstract: We consider the "establishment of public data open platforms" as a quasi-experiment and adopt the staggered DID method to examine the effect of public data openness on spatial distribution of AI firms. We find that public data openness significantly increases AI firm agglomeration, especially in inland, northern, and resource-based cities. This positive effect acts through improving capital allocation and increasing talent concentration. Our findings highlight the critical role of data governance reforms in shaping digital industrial geography and provide empirical evidence on the benefits of public data openness for fostering inclusive and innovative spatial development.

Keywords: Public data openness; Spatial distribution; Staggered did method; AI firms (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:eee:ecolet:v:255:y:2025:i:c:s0165176525004008

DOI: 10.1016/j.econlet.2025.112563

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