IDEAS home Printed from https://ideas.repec.org/a/eee/reveco/v88y2023icp942-961.html
   My bibliography  Save this article

How does environmentally induced R&D affect carbon productivity? A government support perspective

Author

Listed:
  • Zhao, Shikuan
  • Cao, Yuequn
  • Hunjra, Ahmed Imran
  • Tan, Yan

Abstract

Environmentally induced R&D (ER&D) has been positioned as an essential factor in emission reduction and total factor carbon productivity (TFCP) improvement; however, how government support moderates ER&D's impact on TFCP is unclear. Using 30 Chinese provinces' panel data for 1998–2020, this paper applies the systemic generalized method of moments (SYS-GMM), dynamic threshold, and spatial Durbin models to explore ER&D's impact on TFCP under various types of government support. The results show a “U-shaped” ER&D-TFCP relationship. All types of government support can positively moderate ER&D's impact on regional TFCP. With government support as the threshold variable, ER&D's impact on green total factor productivity gradually increases. Moreover, ER&D and government support show a spatial spillover effect on TFCP. This paper offers policy implications about ER&D investment and TFCP improvement for China and other developing countries.

Suggested Citation

  • Zhao, Shikuan & Cao, Yuequn & Hunjra, Ahmed Imran & Tan, Yan, 2023. "How does environmentally induced R&D affect carbon productivity? A government support perspective," International Review of Economics & Finance, Elsevier, vol. 88(C), pages 942-961.
    • Handle: RePEc:eee:reveco:v:88:y:2023:i:c:p:942-961
    DOI: 10.1016/j.iref.2023.07.022
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1059056023002320
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.iref.2023.07.022?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.

    Citations

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


    Cited by:

    1. Chenyang Liu & Xiuyi Shi & Cuixia Li, 2023. "Digital Technology, Factor Allocation and Environmental Efficiency of Dairy Farms in China: Based on Carbon Emission Constraint Perspective," Sustainability, MDPI, vol. 15(21), pages 1-22, October.

    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:88:y:2023:i:c:p:942-961. 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.