AI and New Quality Productivity: Mechanisms and Heterogeneity

Evidence from a Two-Way Fixed Effects Model

Authors

  • Enhui Liu

DOI:

https://doi.org/10.54097/b9qxj444

Keywords:

AI Industrialization, New Quality Productive Forces, Two-Way Fixed Effects

Abstract

Based on provincial panel data from 2011 to 2022 and employing a two-way fixed effects model, this paper empirically examines the mechanism and spatial heterogeneity of the impact of AI industrialization on new quality productive forces. AI has become a key driver of new quality productive forces; however, policy design must be cautious of fiscal dependency risks and fully account for regional disparities to optimize institutional compatibility. Future research may further explore micro-behavioral mechanisms and cross-national comparative perspectives.

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References

[1] Acemoglu, Daron, and Pascual Restrepo. 2019. "Automation and New Tasks: How Technology Displaces and Reinstates Labor." Journal of Economic Perspectives 33 (2): 3–30.

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[3] Ajay Agrawal, Joshua Gans, Avi Goldfarb. The Economics of Artificial Intelligence: The Role of Prediction [N]. "Prediction Machines: The Simple Economics of Artificial Intelligence". Harvard Business Press, 2018.

[4] Goldfarb, A., & Tucker, C. (2019). Digital Economics. Journal of Economic Literature, 57(1): 27-29.

[5] Georg GraetzGuyMichaels. Robots at Work [J]. Review of Economics and Statistics, 2018, Vol. 100(5): 753–768.

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Published

27-09-2025

Issue

Section

Articles