IDEAS home Printed from https://ideas.repec.org/h/spr/advbcp/978-94-6463-036-7_112.html

Comparative Analysis on Development and Policy in Intelligent Manufacturing Industry Among China, the United States, Japan and Germany

In: Proceedings of the 2022 2nd International Conference on Economic Development and Business Culture (ICEDBC 2022)

Author

Listed:
  • Lina Wang

    (North China University of Technology, School of Economics and Management)

  • Hengyuan Zhao

    (Post-Doctoral Scientific Research Workstation,, China Export & Credit Insurance Corporation)

Abstract

ABSTRACT With the rapid evolution of digitalization, intellectualization and networking, intelligent manufacturing has become an important direction of global manufacturing reform. Countries around the world have continuously issued a number of policies to provide strategic support and cultivate their own international competitive advantages. Compared with the United States, Japan and Germany, China's manufacturing industry shows the characteristics of “premature and rapid” decline, uneven development level of intelligence in various industries, and China is still lacking in core technology in smart manufacturing industry. In the future, China should learn from the experiences of advanced countries in the development of intelligent manufacturing, accelerate the technological research and development of local intelligent manufacturing industry, and improve the industrial policy support system.

Suggested Citation

  • Lina Wang & Hengyuan Zhao, 2022. "Comparative Analysis on Development and Policy in Intelligent Manufacturing Industry Among China, the United States, Japan and Germany," Advances in Economics, Business and Management Research, in: Yushi Jiang & Yuriy Shvets & Hrushikesh Mallick (ed.), Proceedings of the 2022 2nd International Conference on Economic Development and Business Culture (ICEDBC 2022), pages 760-765, Springer.
    • Handle: RePEc:spr:advbcp:978-94-6463-036-7_112
    DOI: 10.2991/978-94-6463-036-7_112
    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:978-94-6463-036-7_112. 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.