IDEAS home Printed from https://ideas.repec.org/h/spr/advbcp/978-94-6463-702-1_37.html

Research on the Investment Demand of Fixed Assets and Investment Allocation Technology of Power Grid Considering the Project Category Structure

In: Proceedings of the 2025 10th International Conference on Financial Innovation and Economic Development (ICFIED 2025)

Author

Listed:
  • Shun Ma

    (Guangdong Power Grid Co., Ltd., China Southern Power Grid Company Limited)

  • Na Yu

    (Guangdong Power Grid Co., Ltd., China Southern Power Grid Company Limited)

  • Kai Hou

    (Guangdong Power Grid Co., Ltd., China Southern Power Grid Company Limited)

Abstract

Power grid distribution of investment in fixed assets involves power grid infrastructure, small infrastructure, production and other technical upgrading, marketing, science and technology, informatization and other different business areas, investment scale and structure difference, complex driving elements, how to consider the company management and power grid development practice, build scientific, quantitative, efficient and accurate fixed assets investment allocation strategy is particularly important. Therefore, according to the analysis of investment structure of various majors, combined with the analysis of historical development level and key drivers, carry out research on the optimization of fixed asset investment distribution strategy, promote the scientific distribution of fixed asset investment of the company, and improve the efficiency of precision investment by relying on digital intelligence.

Suggested Citation

  • Shun Ma & Na Yu & Kai Hou, 2025. "Research on the Investment Demand of Fixed Assets and Investment Allocation Technology of Power Grid Considering the Project Category Structure," Advances in Economics, Business and Management Research, in: Maizaitulaidawati Md Husin & Tomoki Fujii & Xiaodong Lai & Azlina Binti Md Yassin (ed.), Proceedings of the 2025 10th International Conference on Financial Innovation and Economic Development (ICFIED 2025), pages 337-347, Springer.
    • Handle: RePEc:spr:advbcp:978-94-6463-702-1_37
    DOI: 10.2991/978-94-6463-702-1_37
    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:978-94-6463-702-1_37. 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.