IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v18y2026i12p6139-d1967704.html

How Does Artificial Intelligence Policy Boost Green Innovation in Manufacturing?—A Quasi-Natural Experiment Based on the AI Pilot Zones Policy

Author

Listed:
  • Fengyi Li

    (School of Economics and Management, North China University of Technology, Beijing 100144, China)

  • Tingting Zheng

    (School of Economics and Management, North China University of Technology, Beijing 100144, China)

  • Hongmei Li

    (School of Economics and Management, North China University of Technology, Beijing 100144, China)

Abstract

Against the backdrop of carbon peaking, carbon neutrality, and digital economy development, exploring the pathways through which artificial intelligence (AI) applications in manufacturing enterprises empower green transformation is of great significance. Using panel data on Chinese A-share listed manufacturing companies from 2005 to 2024 and a difference-in-differences (DID) model, this study examined the impact of the National Artificial Intelligence Innovation and Application Pilot Zones (AI Pilot Zones) policy on corporate green innovation. The results showed that the establishment of AI Pilot Zones significantly promoted green innovation among manufacturing enterprises, and this conclusion remained robust after parallel trend tests, PSM-DID estimation, and alternative variable measurements. Mechanism analysis revealed that financing constraints served as a key mediating channel, and that AI policies promoted green innovation through a serial mediation mechanism involving fintech development and the alleviation of financing constraints. Moderation analysis indicated that both human capital and digital transformation enhanced the policy effect. Heterogeneity analysis suggested that the policy’s impact was more pronounced among non-state-owned enterprises, large enterprises, and firms located in eastern regions. This study provides empirical evidence on the effectiveness of AI Pilot Zones in promoting green innovation among manufacturing firms and clarifies the underlying mechanisms.

Suggested Citation

  • Fengyi Li & Tingting Zheng & Hongmei Li, 2026. "How Does Artificial Intelligence Policy Boost Green Innovation in Manufacturing?—A Quasi-Natural Experiment Based on the AI Pilot Zones Policy," Sustainability, MDPI, vol. 18(12), pages 1-27, June.
  • Handle: RePEc:gam:jsusta:v:18:y:2026:i:12:p:6139-:d:1967704
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/18/12/6139/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/18/12/6139/
    Download Restriction: no
    ---><---

    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:gam:jsusta:v:18:y:2026:i:12:p:6139-:d:1967704. 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: MDPI Indexing Manager The email address of this maintainer does not seem to be valid anymore. Please ask MDPI Indexing Manager to update the entry or send us the correct address (email available below). General contact details of provider: https://www.mdpi.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.