IDEAS home Printed from https://ideas.repec.org/a/eee/epplan/v111y2025ics014971892500059x.html
   My bibliography  Save this article

Can government procurement drive corporate green technology innovation? Evidence from Chinese listed companies

Author

Listed:
  • Tang, Liang
  • Zhao, Hengkai
  • Zhou, Zhuofan
  • Qian, Zixi
  • Hou, Shanshan
  • Liu, Bo

Abstract

Examining the impact of public procurement mechanism government procurement systems on corporate green technology innovation from a demand-side perspective has become a critical issue for encouraging green innovation in enterprises. Using empirical data from Shanghai and Shenzhen A-share listed companies from 2015 to 2023, this study employs a dual fixed-effect model to test the effects of government purchase behavior on green technology innovation. The findings indicate that government procurement significantly promotes green technology innovation in enterprises. Mechanism analysis reveals that public procurement activity fosters green technology innovation by easing financing constraints, strengthening market competitiveness, improving ESG quality and goodwill image. The heterogeneity analysis indicates that the incentive effect of this system is particularly pronounced among enterprises with weak internal controls, state-owned enterprises, and low-growth enterprises. Further research indicates that executive myopia diminishes the innovation-driven impact of government procurement. This study contributes a novel perspective on how government procurement can enhance enterprises' green technology innovation. Additionally, the findings reveal that executive myopia serves as a negative moderating factor in this process.

Suggested Citation

  • Tang, Liang & Zhao, Hengkai & Zhou, Zhuofan & Qian, Zixi & Hou, Shanshan & Liu, Bo, 2025. "Can government procurement drive corporate green technology innovation? Evidence from Chinese listed companies," Evaluation and Program Planning, Elsevier, vol. 111(C).
  • Handle: RePEc:eee:epplan:v:111:y:2025:i:c:s014971892500059x
    DOI: 10.1016/j.evalprogplan.2025.102592
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S014971892500059X
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.evalprogplan.2025.102592?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:epplan:v:111:y:2025:i:c:s014971892500059x. 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/evalprogplan .

    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.