IDEAS home Printed from https://ideas.repec.org/a/eee/reveco/v101y2025ics1059056025003818.html
   My bibliography  Save this article

Do fiscal and tax policies promote the performance of equipment manufacturing enterprises?

Author

Listed:
  • Niu, Yan
  • Du, Dan

Abstract

Based on panel data from A-share listed equipment manufacturing enterprises from 2008 to 2022, this paper systematically analyzes the impact of fiscal and tax policies on the performance of equipment manufacturing companies. It also explores the mediating role of dynamic capabilities and their heterogeneous characteristics. The research findings indicate that fiscal and tax policies significantly enhance the performance of equipment manufacturing enterprises. This positive effect is manifested not only in direct effects but also in the indirect promotion of performance development through the enhancement of enterprises' dynamic capabilities. As a mediating variable, dynamic capabilities effectively connect fiscal and tax policies with corporate performance through improvements in absorptive capacity, adaptive capacity, and innovative capacity. Furthermore, the study reveals that the mediating effect of dynamic capabilities exhibits significant heterogeneity across different types of enterprises. Specifically, high-tech enterprises benefit more from fiscal and tax policies through dynamic capabilities compared to non-high-tech enterprises; additionally, there are notable differences in the influence paths of dynamic capabilities between labor-intensive and capital-intensive enterprises. This research not only highlights the important role of fiscal and tax policies in the equipment manufacturing industry but also provides theoretical support and practical guidance for different types of enterprises in policy formulation and capability building.

Suggested Citation

  • Niu, Yan & Du, Dan, 2025. "Do fiscal and tax policies promote the performance of equipment manufacturing enterprises?," International Review of Economics & Finance, Elsevier, vol. 101(C).
  • Handle: RePEc:eee:reveco:v:101:y:2025:i:c:s1059056025003818
    DOI: 10.1016/j.iref.2025.104218
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1059056025003818
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.iref.2025.104218?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.

    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:reveco:v:101:y:2025:i:c:s1059056025003818. 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/inca/620165 .

    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.