An article in Tax Research by Xiao Yingbo discusses strengthening tax administration foundations in the digital economy. As business models evolve and tax sources shift, traditional approaches are insufficient. The article argues for leveraging big data and AI, including machine learning-based risk identification, algorithmic anomaly monitoring, and intelligent taxpayer Q&A systems. It also emphasizes workforce development through targeted recruitment and digital skills training.
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Rethinking Tax Administration Foundations in the Era of Digital Transformation
Xiao Yingbo from the Guangxi Tax Bureau published a comprehensive analysis in Tax Research journal on how digital transformation reshapes tax administration. The article examines the shift of tax sources in the digital economy, the role of big data as a core governance asset, and proposes adopting machine learning-based risk identification, anomaly detection, and intelligent taxpayer consultation systems.
2026-06-25