IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-3-030-64254-9_7.html
   My bibliography  Save this book chapter

Econometric Analysis on AI Economy

In: Economics and Law of Artificial Intelligence

Author

Listed:
  • Georgios I. Zekos

    (International Hellenic University)

Abstract

The digital economy is central part of transformation based on the diligence of cyberspace-based technologies and more recently the utilization of blockchain and AI technologies has pushed the digital economy to a different level. FDI is a source of private external finance to the host economy contributing to the state’s capital formation in the form of corporate tax revenues, permitting transfer of technology, and innovation and so tolerating the host economy to catch up with technological and managerial enhancements absorbed by the rest of the economy for fuller productivity influence. The whole analysis of the legal background of law concerning patents, copyrights, and trademarks shows a constant development of the legal regulation and enforcement of IPRs, which means a nonstop alteration of an index regarding the protection of IPR. Thus, IPR protection adds to their utility as a means of attracting FDI. The value of IPRs expressed by zekeuipr1 indexes >25% and

Suggested Citation

  • Georgios I. Zekos, 2021. "Econometric Analysis on AI Economy," Springer Books, in: Economics and Law of Artificial Intelligence, edition 1, chapter 0, pages 291-347, Springer.
    • Handle: RePEc:spr:sprchp:978-3-030-64254-9_7
    DOI: 10.1007/978-3-030-64254-9_7
    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 search for a similarly titled item that would be available.

    More about this item

    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:sprchp:978-3-030-64254-9_7. 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.