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September 5, 2025Open Access

Theoretical Basis and Practical Path for Data Asset Valuation and Pricing

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Data asset valuation faces challenges such as intangibility and unclear ownership, impacting market efficiency.
Key bottlenecks include lack of quality assessment standards and imperfect trading market mechanisms.
Multiple theoretical perspectives like labor value and property rights theories inform valuation practices.
A coordinated approach involving theoretical support and institutional guarantees can improve data pricing.

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The study explores the complexities of data asset valuation and pricing, highlighting barriers and proposing practical solutions.

Yudi Wu (2025) studied this question.

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