IDEAS home Printed from https://ideas.repec.org/h/wsi/wschap/9789811270277_0102.html
   My bibliography  Save this book chapter

How the Green Innovation Network Structures in Urban Agglomerations effects Eco-efficiency: Take Beijing-Tianjin-Hebei Urban Agglomeration as an Example

In: Economic Management and Big Data Application Proceedings of the 3rd International Conference

Author

Listed:
  • Qiongbo Dong

Abstract

In this study, we construct a green innovation network by using the gravity model and propose a panel model to analyze the mechanism by which the green innovation network structure of the urban agglomeration affects eco-efficiency and take the Beijing-Tianjin-Hebei urban agglomeration as an example. Results show that the urban agglomeration of Beijing, Tianjin, and Hebei is characterized by radial development, with “Beijing-Tianjin” serving as the core. The central position of city nodes in the innovation network of the Beijing-Tianjin-Hebei urban agglomeration significantly impacts its eco-efficiency, whereas other characteristics do not.

Suggested Citation

  • Qiongbo Dong, 2024. "How the Green Innovation Network Structures in Urban Agglomerations effects Eco-efficiency: Take Beijing-Tianjin-Hebei Urban Agglomeration as an Example," World Scientific Book Chapters, in: Sikandar Ali Qalati (ed.), Economic Management and Big Data Application Proceedings of the 3rd International Conference, chapter 102, pages 1123-1135, World Scientific Publishing Co. Pte. Ltd..
    • Handle: RePEc:wsi:wschap:9789811270277_0102
    as

    Download full text from publisher

    File URL: https://www.worldscientific.com/doi/pdf/10.1142/9789811270277_0102
    Download Restriction: Ebook Access is available upon purchase.
    File URL: https://www.worldscientific.com/doi/abs/10.1142/9789811270277_0102
    Download Restriction: Ebook Access is available upon purchase.
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    More about this item

    Keywords

    Big Data; Information Management; Economic; Data Applications; Blockchain; E-commerce;
    All these keywords.

    JEL classification:

    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
    • C8 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs
    • O14 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Industrialization; Manufacturing and Service Industries; Choice of Technology

    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:wsi:wschap:9789811270277_0102. 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: Tai Tone Lim (email available below). General contact details of provider: http://www.worldscientific.com/page/worldscibooks .

    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.