IDEAS home Printed from https://ideas.repec.org/a/igg/rmj000/v37y2024i1p1-17.html
   My bibliography  Save this article

Optimizing Accounting for Data Assets Helpful To Developing Sustainable Regional Economies

Author

Listed:
  • Minghui Liu

    (State Grid Zhejiang Electric Power Co., Ltd., China)

  • Xiaokang Chai

    (State Grid Zhejiang Electric Power Co., Ltd., China)

  • Wendi Xu

    (State Grid Zhejiang Electric Power Co., Ltd., China)

  • Jialu Chen

    (State Grid Zhejiang Electric Power Co., Ltd., China & Jinhua Power Supply Company, China)

  • Wenxin Qiu

    (Economic and Technological Research Institute of State Grid Zhejiang Electric Power Co., Ltd., China)

Abstract

This paper aims to develop accounting methods for data assets helpful to developing sustainable regional economic development within the digital economy. By considering data-asset characteristics such as virtuality and sharing, it proposes accounting treatments and processes for data-asset evaluation and management. Through a case study of Guangdong Power Grid Co., Ltd., the optimized method is evaluated. Results show a 70% increase in data-asset valuation compared to intangible assets, with a 17.8% growth in total profits. The method reduces asset-management costs by 3.67% and amortization by CN¥98,600. These findings highlight the importance of optimizing accounting methods for data assets able to foster sustainable regional economic development in the digital-economy era.

Suggested Citation

  • Minghui Liu & Xiaokang Chai & Wendi Xu & Jialu Chen & Wenxin Qiu, 2024. "Optimizing Accounting for Data Assets Helpful To Developing Sustainable Regional Economies," Information Resources Management Journal (IRMJ), IGI Global, vol. 37(1), pages 1-17, January.
  • Handle: RePEc:igg:rmj000:v:37:y:2024:i:1:p:1-17
    as

    Download full text from publisher

    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IRMJ.349948
    Download Restriction: no
    ---><---

    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:igg:rmj000:v:37:y:2024:i:1:p:1-17. 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: Journal Editor (email available below). General contact details of provider: https://www.igi-global.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.