IDEAS home Printed from https://ideas.repec.org/h/spr/advbcp/978-94-6463-835-6_74.html

The Impact of New Quality Productive Forces on the High-Quality Development of the Textile and Apparel Industry

In: Proceedings of the 2025 3rd International Academic Conference on Management Innovation and Economic Development (MIED 2025)

Author

Listed:
  • Jia You

    (Beijing University of Chemical Technology, School of Economics and Management)

  • Heda Zhang

    (Beijing University of Chemical Technology, School of Economics and Management)

Abstract

The textile and garment industry, as an important livelihood industry in our country, is deeply integrated into the national economic system, but as a traditional industry, it is facing multiple challenges in the transformation. This article focuses on how the new quality productivity can promote the high-quality development of the textile and garment industry through three key paths: First, through technological innovation to promote the upgrading of the industrial structure, the promotion of product added value and green transformation; Second, the combination of artificial intelligence technology to improve production efficiency and promote intelligent product design; Third, by training high-quality workers to optimize human capital. The research highlights that these factors contribute significantly to continuous innovation and the high-quality growth of the textile and garment industry. Additionally, based on the findings, the article offers practical insights and recommendations for policymakers, businesses, and research institutions to support this transformation.

Suggested Citation

  • Jia You & Heda Zhang, 2025. "The Impact of New Quality Productive Forces on the High-Quality Development of the Textile and Apparel Industry," Advances in Economics, Business and Management Research, in: Barbara Siuta-Tokarska & Adriana Grigorescu & Md. Mamun Habib & Yifeng Zhu (ed.), Proceedings of the 2025 3rd International Academic Conference on Management Innovation and Economic Development (MIED 2025), pages 690-701, Springer.
  • Handle: RePEc:spr:advbcp:978-94-6463-835-6_74
    DOI: 10.2991/978-94-6463-835-6_74
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a
    for a similarly titled item that would be available.

    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:spr:advbcp:978-94-6463-835-6_74. 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.

    We have no bibliographic references for this item. You can help adding them by using 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.