IDEAS home Printed from https://ideas.repec.org/a/eee/finlet/v85y2025ipes1544612325015454.html

The impact of data asset information disclosure on bank credit

Author

Listed:
  • Luo, Shen

Abstract

As a core competitive production element and strategic asset of enterprises, data assets have become an important strategic resource for promoting high-quality development of enterprises. Using data from A-share listed firms in China between 2007 and 2023, this study explores how data asset information disclosure affects corporate bank credit. The results show that disclosing data asset information significantly improves bank credit. Further analysis by data asset type reveals that disclosures related to both self-use and transactional data assets lead to greater credit availability and lower financing costs. Mechanism tests suggest that these disclosures enhance bank credit by increasing information transparency. Moreover, heterogeneity analysis indicates that the positive impact of data asset disclosure on bank credit is more pronounced among firms with higher financing constraints and those operating in competitive industries.

Suggested Citation

  • Luo, Shen, 2025. "The impact of data asset information disclosure on bank credit," Finance Research Letters, Elsevier, vol. 85(PE).
    • Handle: RePEc:eee:finlet:v:85:y:2025:i:pe:s1544612325015454
    DOI: 10.1016/j.frl.2025.108291
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1544612325015454
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.frl.2025.108291?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
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    References listed on IDEAS

    as
    1. Antonio Accetturo & Giulia Canzian & Michele Cascarano & Maria Lucia Stefani, 2019. "Debt maturity and firm performance: evidence from a quasi-natural experiment," Temi di discussione (Economic working papers) 1250, Bank of Italy, Economic Research and International Relations Area.
    2. Changyu Hu & Yuetong Li & Xiaojia Zheng, 2022. "Data assets, information uses, and operational efficiency," Applied Economics, Taylor & Francis Journals, vol. 54(60), pages 6887-6900, December.
    3. Sun, Xiaowen & Du, Zhenhua, 2024. "Enhancing capital market efficiency: The role of data assets disclosure in reducing stock price synchronicity," International Review of Economics & Finance, Elsevier, vol. 94(C).
    4. Perrons, Robert K. & Jensen, Jesse W., 2015. "Data as an asset: What the oil and gas sector can learn from other industries about “Big Data”," Energy Policy, Elsevier, vol. 81(C), pages 117-121.
    5. Wei, Yanlin & Zhang, Junrui & Cheng, Maoyong & Liu, Tingting, 2025. "Does data asset disclosure contribute to the market efficiency? Evidence from China," Research in International Business and Finance, Elsevier, vol. 73(PA).
    6. Chen, Ximing & Yan, Yongjia & Qiu, Ji, 2024. "Can enterprise digital transformation reduce the reliance on bank credit? Evidence from China," Economic Modelling, Elsevier, vol. 132(C).
    7. Feng, Yongjie & Zhang, Zenglian & Zhang, Jingxian & Zhou, Wenjie, 2025. "More authentic data asset disclosure by myopic managers: Evidence from China," International Review of Financial Analysis, Elsevier, vol. 105(C).
    8. Calvano, Emilio & Polo, Michele, 2021. "Market power, competition and innovation in digital markets: A survey," Information Economics and Policy, Elsevier, vol. 54(C).
    9. Qian, Kun & Pan, Chenxi & Liang, Xinyv, 2025. "Does data asset disclosure affect bank lending acquisition?," International Review of Financial Analysis, Elsevier, vol. 97(C).
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Dai, YuTong & Cheng, Shuai, 2026. "The impact of strong financial supervision on corporate data asset holdings," Finance Research Letters, Elsevier, vol. 87(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Wang, Xiaofan & Yao, Lili, 2025. "Data asset disclosures tilt audit tone: evidence from china's A-share market," International Review of Financial Analysis, Elsevier, vol. 107(C).
    2. Feng, Yongjie & Zhang, Zenglian & Zhang, Jingxian & Zhou, Wenjie, 2025. "More authentic data asset disclosure by myopic managers: Evidence from China," International Review of Financial Analysis, Elsevier, vol. 105(C).
    3. Xiao, Shengpeng & Wu, Kedong & Xiao, Xiao & Lin, Changqing, 2025. "How do data assets affect firm investment?," International Review of Financial Analysis, Elsevier, vol. 106(C).
    4. Huang, Lingyu & Zhang, Yuxuan & Xian, Rui & Chen, Xinxian, 2026. "Data asset disclosure and corporate innovation: Evidence from China," International Review of Financial Analysis, Elsevier, vol. 109(C).
    5. Ji, Ruibing & Zhang, Shengling & Cao, Wenxuan & Hao, Yu & Wang, Nuo, 2025. "Data assets, supply chain spillovers, and corporate ESG development — Evidence from Chinese listed companies," Structural Change and Economic Dynamics, Elsevier, vol. 75(C), pages 880-894.
    6. Wei, Yanlin & Zhang, Junrui & Cheng, Maoyong & Liu, Tingting, 2025. "Does data asset disclosure contribute to the market efficiency? Evidence from China," Research in International Business and Finance, Elsevier, vol. 73(PA).
    7. Tian, Xinci & Ma, Yueyue, 2026. "Digital asset intensity and strategic disclosure effects on firm performance: Evidence from China," International Review of Economics & Finance, Elsevier, vol. 105(C).
    8. Gan, Xiaojun & Hui, Wang, 2025. "What Constrains Bank Rent-Seeking: Firm's Carbon Disclosure Quality or Digital Transformation?," Finance Research Letters, Elsevier, vol. 86(PE).
    9. Yang, Liguo & Li, Jingjing & Liu, Xintong, 2026. "Can corporate data assets gain preference? Evidence from supply chain financing," Finance Research Letters, Elsevier, vol. 89(C).
    10. Shrestha, Yash Raj & Krishna, Vaibhav & von Krogh, Georg, 2021. "Augmenting organizational decision-making with deep learning algorithms: Principles, promises, and challenges," Journal of Business Research, Elsevier, vol. 123(C), pages 588-603.
    11. Mohamed Saeudy & Ali Meftah Gerged & Khaldoon Albitar, 2022. "Accounting Perspectives on The Business Value of Big Data During and Beyond The COVID-19 Pandemic," Accounting and Management Information Systems, Faculty of Accounting and Management Information Systems, The Bucharest University of Economic Studies, vol. 21(2), pages 174-199, June.
    12. Bai, Shizhen & He, Hao & Han, Chunjia & Yang, Mu & Shang, Wen-Long & Fan, Weijia, 2025. "What is the focus of energy supply chain relationship management during geopolitical risks? Evidence from the stock market based on transaction cost economics," Energy Economics, Elsevier, vol. 148(C).
    13. Małgorzata Knauff & Adam Karbowski, 2021. "R&D Investments in Markets with Network Effects," Journal of Industry, Competition and Trade, Springer, vol. 21(2), pages 225-250, June.
    14. Rehse, Dominik & Valet, Sebastian, 2025. "Competition among digital services: Evidence from the 2021 Meta outage," ZEW Discussion Papers 25-015, ZEW - Leibniz Centre for European Economic Research.
    15. Zhijun Chen & Chongwoo Choe & Jiajia Cong & Noriaki Matsushima, 2022. "Data‐driven mergers and personalization," RAND Journal of Economics, RAND Corporation, vol. 53(1), pages 3-31, March.
    16. Di Salvo, André L.A. & Agostinho, Feni & Almeida, Cecília M.V.B. & Giannetti, Biagio F., 2017. "Can cloud computing be labeled as “green”? Insights under an environmental accounting perspective," Renewable and Sustainable Energy Reviews, Elsevier, vol. 69(C), pages 514-526.
    17. Wenwen Wang & Muqing Sun & Dong Zhou, 2025. "The impact of cross-border e-commerce comprehensive pilot zone on corporate financial constraints in China," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 12(1), pages 1-14, December.
    18. Osorio, Chad Patrick & Gojo Cruz, Jamlech Iram, 2025. "Promoting free flows via competition law: An AI industry blueprint for Southeast Asia," Telecommunications Policy, Elsevier, vol. 49(5).
    19. Wang, Xiaofen & Yu, Jing & Di, Jing, 2025. "Effects of digital economic antitrust policy on enhancing corporate innovation performance," Finance Research Letters, Elsevier, vol. 71(C).
    20. Prado, Tiago S., 2022. "Safeguarding Competition in Digital Markets: A Comparative Analysis of Emerging Policy and Regulatory Regimes," 31st European Regional ITS Conference, Gothenburg 2022: Reining in Digital Platforms? Challenging monopolies, promoting competition and developing regulatory regimes 265666, International Telecommunications Society (ITS).

    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:eee:finlet:v:85:y:2025:i:pe:s1544612325015454. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/frl .

    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.