IDEAS home Printed from https://ideas.repec.org/a/eee/finlet/v72y2025ics1544612324014946.html
   My bibliography  Save this article

Do diversified M&As improve R&D activity? Evidence from Chinese listed companies

Author

Listed:
  • Mao, Songsheng
  • Yang, Gongyan

Abstract

Using the sample merger and acquisition (M&A) data of China's A-share listed companies from 2007 to 2022, this study adopts the multiphase difference-in-differences (DID) methodology to examine the heterogeneity of diversified M&A activities and their effects on enterprise innovation efficiency. Findings indicate that diversified M&As hinder the advancement of firms’ innovation efficiency. Diversified M&As have a heterogeneous impact on enterprise innovation. Specifically, young enterprises, enterprises with limited cash flow, and enterprises in highly competitive industries experience a greater negative impact on innovation efficiency. Furthermore, long-term diversified operations with minimal business changes and a substantial decrease in leverage ratio harm innovation efficiency. These conclusions broaden the understanding of M&A's innovative effects and provide a practical foundation for domestic enterprises’ M&A decision-making.

Suggested Citation

  • Mao, Songsheng & Yang, Gongyan, 2025. "Do diversified M&As improve R&D activity? Evidence from Chinese listed companies," Finance Research Letters, Elsevier, vol. 72(C).
    • Handle: RePEc:eee:finlet:v:72:y:2025:i:c:s1544612324014946
    DOI: 10.1016/j.frl.2024.106465
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1544612324014946
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.frl.2024.106465?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 search for a different version of it.

    More about this item

    Keywords

    Diversified M&As; Innovation investment; Difference-in-differences model;
    All these keywords.

    JEL classification:

    • C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General
    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • C36 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Instrumental Variables (IV) Estimation
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G34 - Financial Economics - - Corporate Finance and Governance - - - Mergers; Acquisitions; Restructuring; Corporate Governance
    • O32 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Management of Technological Innovation and R&D

    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:72:y:2025:i:c:s1544612324014946. 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: 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.