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Does digital trade promote China’s manufacturing industry upgrading?—based on structure rationalization perspective

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  • Wan Tang

    (University of International Business and Economics)

  • Qingxin Lan

    (University of International Business and Economics)

Abstract

This paper explores how digital trade facilitates the optimization and upgrading of the manufacturing industry from the standpoint of structural rationalization, based on panel data collected from 30 provinces between 2013 and 2021 in China. The findings indicate that: first, the growth of digital trade can significantly aid in the manufacturing industry rationalization and upgrading. This can be achieved through four indirect channels, including technological innovation, transaction costs, consumer demand, and human capital, in addition to direct effects. Second, the heterogeneity analysis discovers that the growth of digital trade considerably aids in the manufacturing industry rationalization and upgrading in the central and western areas. Finally, the promotion of digital trade on the rationalization and upgrading exhibits threshold effect characteristics, whether based on a nationwide sample or regional heterogeneity. As digital trade exceeds the certain threshold value, it demonstrates that digital trade greatly increases the manufacturing industry’s level of rationalization and upgrading.

Suggested Citation

  • Wan Tang & Qingxin Lan, 2024. "Does digital trade promote China’s manufacturing industry upgrading?—based on structure rationalization perspective," Economic Change and Restructuring, Springer, vol. 57(3), pages 1-23, June.
    • Handle: RePEc:kap:ecopln:v:57:y:2024:i:3:d:10.1007_s10644-024-09714-w
    DOI: 10.1007/s10644-024-09714-w
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    References listed on IDEAS

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    1. Hansen, Bruce E., 1999. "Threshold effects in non-dynamic panels: Estimation, testing, and inference," Journal of Econometrics, Elsevier, vol. 93(2), pages 345-368, December.
    2. Peneder, Michael, 2003. "Industrial structure and aggregate growth," Structural Change and Economic Dynamics, Elsevier, vol. 14(4), pages 427-448, December.
    3. Cristiano Antonelli, 2006. "Diffusion as a Process of Creative Adoption," The Journal of Technology Transfer, Springer, vol. 31(2), pages 211-226, March.
    4. Bertschek, Irene & Cerquera, Daniel & Klein, Gordon J., 2011. "More bits - more bucks? Measuring the impact of broadband internet on firm performance," ZEW Discussion Papers 11-032, ZEW - Leibniz Centre for European Economic Research.
    5. Geraldine Henningsen & Arne Henningsen & Christian Henning, 2015. "Transaction costs and social networks in productivity measurement," Empirical Economics, Springer, vol. 48(1), pages 493-515, February.
    6. Wu, Haitao & Hao, Yu & Ren, Siyu & Yang, Xiaodong & Xie, Guo, 2021. "Does internet development improve green total factor energy efficiency? Evidence from China," Energy Policy, Elsevier, vol. 153(C).
    7. Fang Cai, 2010. "Demographic transition, demographic dividend, and Lewis turning point in China," China Economic Journal, Taylor & Francis Journals, vol. 3(2), pages 107-119.
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