IDEAS home Printed from https://ideas.repec.org/a/kap/ecopln/v57y2024i3d10.1007_s10644-024-09714-w.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10644-024-09714-w
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s10644-024-09714-w?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    References listed on IDEAS

    as
    1. Cristiano Antonelli, 2006. "Diffusion as a Process of Creative Adoption," The Journal of Technology Transfer, Springer, vol. 31(2), pages 211-226, March.
    2. 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.
    3. 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.
    4. 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.
    5. Peneder, Michael, 2003. "Industrial structure and aggregate growth," Structural Change and Economic Dynamics, Elsevier, vol. 14(4), pages 427-448, December.
    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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Ran, Qiying & Yang, Xiaodong & Yan, Hongchuan & Xu, Yang & Cao, Jianhong, 2023. "Natural resource consumption and industrial green transformation: Does the digital economy matter?," Resources Policy, Elsevier, vol. 81(C).
    2. Chen, Jinrui & Zhang, Yichang, 2025. "Substantive change or strategic response? Digital industrial convergence policy and urban green innovation," Innovation and Green Development, Elsevier, vol. 4(1).
    3. Wu, Haitao & Hao, Yu & Weng, Jia-Hsi, 2019. "How does energy consumption affect China's urbanization? New evidence from dynamic threshold panel models," Energy Policy, Elsevier, vol. 127(C), pages 24-38.
    4. Zhang, Wei & Liu, Xuemeng & Wang, Die & Zhou, Jianping, 2022. "Digital economy and carbon emission performance: Evidence at China's city level," Energy Policy, Elsevier, vol. 165(C).
    5. Yi Liang & Xiaoli Hao, 2022. "Can the Agglomeration of New Energy Industries Improve Environmental Efficiency?—Evidence from China," Sustainability, MDPI, vol. 14(14), pages 1-22, July.
    6. Shuangjie Li & Wei Wang & Liming Wang & Ge Wang, 2023. "Digital Economy and 3E Efficiency Performance: Evidence from EU Countries," Sustainability, MDPI, vol. 15(7), pages 1-18, March.
    7. Wenhui Luo & Gennian Tang & Peiling Yang & Chunxia Jia & Ruize Yang, 2024. "Examining Digital Economy’s Role in Urban Green Development: A Study of the Yangtze River Delta Region," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 15(3), pages 11250-11285, September.
    8. Huiling Liu & Jianhua Zhang & Hongyun Huang & Haitao Wu & Yu Hao, 2023. "Environmental good exports and green total factor productivity: Lessons from China," Sustainable Development, John Wiley & Sons, Ltd., vol. 31(3), pages 1681-1703, June.
    9. Wang, Lianghu & Shao, Jun, 2024. "The energy saving effects of digital infrastructure construction: Empirical evidence from Chinese industry," Energy, Elsevier, vol. 294(C).
    10. Qingyan Zhu, 2023. "How Will the Relationship between Technological Innovation and Green Total Factor Productivity Change under the Influence of Service-Oriented Upgrading of Industrial Structure?," Sustainability, MDPI, vol. 15(6), pages 1-16, March.
    11. Haiying Liu & Wenqi Guo & Yu Wang & Dianwu Wang, 2022. "Impact of Resource on Green Growth and Threshold Effect of International Trade Levels: Evidence from China," IJERPH, MDPI, vol. 19(5), pages 1-20, February.
    12. Ma, Dan & Zhu, Qing, 2022. "Innovation in emerging economies: Research on the digital economy driving high-quality green development," Journal of Business Research, Elsevier, vol. 145(C), pages 801-813.
    13. Xiujin Guo & Zhengming Wang, 2024. "How does the digital economy affect the green development of China’s industry?," PLOS ONE, Public Library of Science, vol. 19(9), pages 1-21, September.
    14. Ding, Qian & Huang, Jianbai & Chen, Jinyu & Tao, Dali, 2023. "Internet development and renewable energy technological innovation: Does institutional quality matter?," Renewable Energy, Elsevier, vol. 218(C).
    15. Guoge Yang & Feng Deng & Fengyi Wang & Zhenyu Mao & Xingsheng Wu & Fengyu Zhang, 2024. "Digital economy, resource distortion and low-carbon inclusive development-Evidence from the perspectives of a threshold effect and knowledge spillover effect," PLOS ONE, Public Library of Science, vol. 19(7), pages 1-32, July.
    16. Zhuoxi Yu & Shan Liu & Zhichuan Zhu, 2022. "Has the Digital Economy Reduced Carbon Emissions?: Analysis Based on Panel Data of 278 Cities in China," IJERPH, MDPI, vol. 19(18), pages 1-18, September.
    17. Wen, Yuyuan & Yu, Zilong & Xue, Jingjing & Liu, Yang, 2024. "How heterogeneous industrial agglomeration impacts energy efficiency subject to technological innovation:Evidence from the spatial threshold model," Energy Economics, Elsevier, vol. 136(C).
    18. Dong, Kangyin & Liu, Yang & Wang, Jianda & Dong, Xiucheng, 2024. "Is the digital economy an effective tool for decreasing energy vulnerability? A global case," Ecological Economics, Elsevier, vol. 216(C).
    19. Wang Jian & Wenjuan Huang & Woraphon Yamaka & Jianxu Liu, 2023. "Internet Development and Green Total Factor Productivity: New Evidence of Mediation and Threshold Effects," Sustainability, MDPI, vol. 15(16), pages 1-23, August.
    20. Fang, Zhen & Razzaq, Asif & Mohsin, Muhammad & Irfan, Muhammad, 2022. "Spatial spillovers and threshold effects of internet development and entrepreneurship on green innovation efficiency in China," Technology in Society, Elsevier, vol. 68(C).

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:kap:ecopln:v:57:y:2024:i:3:d:10.1007_s10644-024-09714-w. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.