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Sino-US S and T Frictions and Transnational Knowledge Flows: Evidence from machine learning and cross-national patent data

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  • Yanqing Yang
  • Nan Zhang
  • Jinfeng Ge
  • Yan Xu

Abstract

This paper identifies the impact of China-U.S. science and technology (S&T) friction on knowledge flows in different fields, using data on invention patent applications from China, the U.S., Europe, and the World Patent Office (WPO) along with machine-learning-based econometric methods. The empirical results find that the negative impacts of China-U.S. S&T frictions on cross-border knowledge flows are confined to a limited number of technology areas during the period of our observation. This paper further explores the characteristics of the negatively impacted technology areas, and the empirical results show that technology areas that rely more on basic scientific research, where the distribution of U.S. scientific and technological strength is more concentrated, and where the gap between U.S. and Chinese science and technology is narrower, are more likely to be the victims of the Sino-U.S. S&T friction.

Suggested Citation

  • Yanqing Yang & Nan Zhang & Jinfeng Ge & Yan Xu, 2025. "Sino-US S and T Frictions and Transnational Knowledge Flows: Evidence from machine learning and cross-national patent data," Papers 2503.21822, arXiv.org.
    • Handle: RePEc:arx:papers:2503.21822
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    1. Victor Chernozhukov & Mert Demirer & Esther Duflo & Iván Fernández-Val, 2018. "Generic Machine Learning Inference on Heterogeneous Treatment Effects in Randomized Experiments, with an Application to Immunization in India," NBER Working Papers 24678, National Bureau of Economic Research, Inc.
    2. Cornaggia, Jess & Mao, Yifei & Tian, Xuan & Wolfe, Brian, 2015. "Does banking competition affect innovation?," Journal of Financial Economics, Elsevier, vol. 115(1), pages 189-209.
    3. Liangjun Su & Zhentao Shi & Peter C. B. Phillips, 2016. "Identifying Latent Structures in Panel Data," Econometrica, Econometric Society, vol. 84, pages 2215-2264, November.
    4. Seru, Amit, 2014. "Firm boundaries matter: Evidence from conglomerates and R&D activity," Journal of Financial Economics, Elsevier, vol. 111(2), pages 381-405.
    5. Mary Amiti & Stephen J. Redding & David E. Weinstein, 2019. "The Impact of the 2018 Tariffs on Prices and Welfare," Journal of Economic Perspectives, American Economic Association, vol. 33(4), pages 187-210, Fall.
    6. Francisco J. Buera & Ezra Oberfield, 2020. "The Global Diffusion of Ideas," Econometrica, Econometric Society, vol. 88(1), pages 83-114, January.
    7. Lee, Ji Hyung & Shi, Zhentao & Gao, Zhan, 2022. "On LASSO for predictive regression," Journal of Econometrics, Elsevier, vol. 229(2), pages 322-349.
    8. Matt Marx & Aaron Fuegi, 2020. "Reliance on science: Worldwide front‐page patent citations to scientific articles," Strategic Management Journal, Wiley Blackwell, vol. 41(9), pages 1572-1594, September.
    9. Susan Athey & Guido W. Imbens, 2017. "The State of Applied Econometrics: Causality and Policy Evaluation," Journal of Economic Perspectives, American Economic Association, vol. 31(2), pages 3-32, Spring.
    10. Josh Lerner & Amit Seru, 2017. "The Use and Misuse of Patent Data: Issues for Corporate Finance and Beyond," NBER Working Papers 24053, National Bureau of Economic Research, Inc.
    11. Sendhil Mullainathan & Jann Spiess, 2017. "Machine Learning: An Applied Econometric Approach," Journal of Economic Perspectives, American Economic Association, vol. 31(2), pages 87-106, Spring.
    12. Jonathan Eaton & Samuel Kortum, 2002. "Technology, Geography, and Trade," Econometrica, Econometric Society, vol. 70(5), pages 1741-1779, September.
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