IDEAS home Printed from https://ideas.repec.org/a/hin/jnddns/8255444.html
   My bibliography  Save this article

Analysis on the Independent Innovation Path and Development Trend of Emerging Marine Industry Based on DEA Model

Author

Listed:
  • Yufeng Liu
  • Lele Qin

Abstract

The development trend of the emerging marine industry affects the development of the marine economy, to study the independent innovation path of the emerging marine industry and the empirical analysis of its development trend. Based on the independent innovation path of the emerging marine industry, explore the development trend of the emerging marine industry. Select the added value of the emerging marine industry as the dependent variable; R&D personnel and R&D funds as the intermediary variables; innovation efficiency as the explanatory variable; and technical capabilities, technical management capabilities, technical strategies, and network capabilities as control variables, using data packets. The network analysis method establishes a development trend measurement model and analyzes the independent innovation path and development trend of the emerging marine industry through the established model. The four independent innovation paths of technological capability, technological management capability, technological strategy, and network capability have a positive incentive effect on the development of emerging marine industries, and technological capability has a higher incentive for the development of emerging marine industries. Based on the results of empirical analysis, it proposes strategies to promote the development of emerging marine industries, such as enhancing public awareness of emerging marine industries, improving long-term mechanisms for the development of emerging marine industries, and enhancing the independent innovation capabilities of emerging marine industries.

Suggested Citation

  • Yufeng Liu & Lele Qin, 2022. "Analysis on the Independent Innovation Path and Development Trend of Emerging Marine Industry Based on DEA Model," Discrete Dynamics in Nature and Society, Hindawi, vol. 2022, pages 1-7, June.
    • Handle: RePEc:hin:jnddns:8255444
    DOI: 10.1155/2022/8255444
    as

    Download full text from publisher

    File URL: http://downloads.hindawi.com/journals/ddns/2022/8255444.pdf
    Download Restriction: no
    File URL: http://downloads.hindawi.com/journals/ddns/2022/8255444.xml
    Download Restriction: no
    File URL: https://libkey.io/10.1155/2022/8255444?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
    ---><---

    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:hin:jnddns:8255444. 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: Mohamed Abdelhakeem (email available below). General contact details of provider: https://www.hindawi.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.