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Artificial intelligence technology innovation and firm productivity: Evidence from China

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  • Zhai, Shaoxuan
  • Liu, Zhenpeng

Abstract

This study empirically examines the influence of artificial intelligence (AI) technology innovation on productivity using a sample of Chinese-listed companies. The results underscore that AI technology innovations can significantly enhance firms' total factor productivity. Moreover, while this positive impact is generalizable across firms, it is more pronounced in large-size enterprises, state-owned enterprises, and labor-intensive industries. Additionally, the mechanisms analysis reveals that cost reduction, increased utilization of highly skilled labor inputs, facilitation of digital transformation, and improvement in innovation efficiency are mechanisms through which AI technology innovation enhances productivity.

Suggested Citation

  • Zhai, Shaoxuan & Liu, Zhenpeng, 2023. "Artificial intelligence technology innovation and firm productivity: Evidence from China," Finance Research Letters, Elsevier, vol. 58(PB).
    • Handle: RePEc:eee:finlet:v:58:y:2023:i:pb:s1544612323008097
    DOI: 10.1016/j.frl.2023.104437
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    References listed on IDEAS

    as
    1. Ajay Agrawal & Joshua Gans & Avi Goldfarb, 2019. "Economic Policy for Artificial Intelligence," Innovation Policy and the Economy, University of Chicago Press, vol. 19(1), pages 139-159.
    2. Bart van Ark, 2016. "The Productivity Paradox of the New Digital Economy," International Productivity Monitor, Centre for the Study of Living Standards, vol. 31, pages 3-18, Fall.
    3. Daron Acemoglu & Pascual Restrepo, 2019. "Automation and New Tasks: How Technology Displaces and Reinstates Labor," Journal of Economic Perspectives, American Economic Association, vol. 33(2), pages 3-30, Spring.
    4. Liu, Jun & Chang, Huihong & Forrest, Jeffrey Yi-Lin & Yang, Baohua, 2020. "Influence of artificial intelligence on technological innovation: Evidence from the panel data of china's manufacturing sectors," Technological Forecasting and Social Change, Elsevier, vol. 158(C).
    5. Sheng, Xin & Guo, Songlin & Chang, Xiaochen, 2022. "Managerial myopia and firm productivity: Evidence from China," Finance Research Letters, Elsevier, vol. 49(C).
    6. Mario Benassi & Elena Grinza & Francesco Rentocchini & Laura Rondi, 2022. "Patenting in 4IR technologies and firm performance [Robots and jobs: evidence from US labor markets]," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 31(1), pages 112-136.
    7. Montobbio, Fabio & Staccioli, Jacopo & Virgillito, Maria Enrica & Vivarelli, Marco, 2022. "Robots and the origin of their labour-saving impact," Technological Forecasting and Social Change, Elsevier, vol. 174(C).
    8. David H. Autor, 2015. "Why Are There Still So Many Jobs? The History and Future of Workplace Automation," Journal of Economic Perspectives, American Economic Association, vol. 29(3), pages 3-30, Summer.
    9. Niu, Yuhao & Wen, Wen & Wang, Sai & Li, Sifei, 2023. "Breaking barriers to innovation: The power of digital transformation," Finance Research Letters, Elsevier, vol. 51(C).
    10. Zhang, Haiyan & Dong, Shizheng, 2023. "Digital transformation and firms' total factor productivity: The role of internal control quality," Finance Research Letters, Elsevier, vol. 57(C).
    11. Olley, G Steven & Pakes, Ariel, 1996. "The Dynamics of Productivity in the Telecommunications Equipment Industry," Econometrica, Econometric Society, vol. 64(6), pages 1263-1297, November.
    12. Chen, Yufeng & Xu, Jing, 2023. "Digital transformation and firm cost stickiness: Evidence from China," Finance Research Letters, Elsevier, vol. 52(C).
    13. Nicholas Crafts, 2021. "Artificial intelligence as a general-purpose technology: an historical perspective," Oxford Review of Economic Policy, Oxford University Press and Oxford Review of Economic Policy Limited, vol. 37(3), pages 521-536.
    14. Robert J. Gordon, 2018. "Why Has Economic Growth Slowed When Innovation Appears to be Accelerating?," NBER Working Papers 24554, National Bureau of Economic Research, Inc.
    15. Yang, Chih-Hai, 2022. "How Artificial Intelligence Technology Affects Productivity and Employment: Firm-level Evidence from Taiwan," Research Policy, Elsevier, vol. 51(6).
    16. Brambor, Thomas & Clark, William Roberts & Golder, Matt, 2006. "Understanding Interaction Models: Improving Empirical Analyses," Political Analysis, Cambridge University Press, vol. 14(1), pages 63-82, January.
    17. Parteka, Aleksandra & Kordalska, Aleksandra, 2023. "Artificial intelligence and productivity: global evidence from AI patent and bibliometric data," Technovation, Elsevier, vol. 125(C).
    18. Trajtenberg, Manuel, 2018. "AI as the next GPT: a Political-Economy Perspective," CEPR Discussion Papers 12721, C.E.P.R. Discussion Papers.
    19. Venturini, Francesco, 2022. "Intelligent technologies and productivity spillovers: Evidence from the Fourth Industrial Revolution," Journal of Economic Behavior & Organization, Elsevier, vol. 194(C), pages 220-243.
    20. Gordon, Robert J., 2018. "Why Has Economic Growth Slowed When Innovation Appears To Be Accelerating?," CEPR Discussion Papers 13039, C.E.P.R. Discussion Papers.
    21. James Levinsohn & Amil Petrin, 2003. "Estimating Production Functions Using Inputs to Control for Unobservables," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 70(2), pages 317-341.
    22. Giacomo Damioli & Vincent Van Roy & Daniel Vertesy, 2021. "The impact of artificial intelligence on labor productivity," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 11(1), pages 1-25, March.
    23. Robert J. Gordon, 2014. "The Demise of U.S. Economic Growth: Restatement, Rebuttal, and Reflections," NBER Working Papers 19895, National Bureau of Economic Research, Inc.
    24. Zhang, Liangliang & Tao, Yunqing & Nie, Cong, 2022. "Does broadband infrastructure boost firm productivity? Evidence from a quasi-natural experiment in China," Finance Research Letters, Elsevier, vol. 48(C).
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    Cited by:

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    5. Wang, Chao & Zhang, Yue-Jun, 2024. "Does environmental investment improve corporate productivity? Evidence from Chinese listed firms," Structural Change and Economic Dynamics, Elsevier, vol. 70(C), pages 398-409.

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    More about this item

    Keywords

    Artificial intelligence technology innovation; Firm productivity;

    JEL classification:

    • O30 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - General
    • G30 - Financial Economics - - Corporate Finance and Governance - - - General

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