IDEAS home Printed from https://ideas.repec.org/a/eee/jrpoli/v89y2024ics0301420723012308.html
   My bibliography  Save this article

Natural resource dependence and government-guided social forces participation in R&D investment: An analysis of the resource curse hypothesis

Author

Listed:
  • Li, Beili
  • Fan, Xu
  • Li, Jianjiang

Abstract

The study investigates the relationship between government R&D subsidies, natural resource dependence, and intellectual property protection on social investment in R&D using data from 30 Chinese regions between 2009 and 2021. The results show that government R&D subsidies and intellectual property protection significantly inhibit the increase in social R&D investment. Likewise, the interaction term of the two can positively affect social R&D investment. Natural resource dependence positively moderates the impact of government R&D subsidies on social R&D investment, i.e., it exacerbates the inhibiting effect of government R&D subsidies on social R&D investment and thereby discards the “resource curse” hypothesis. Natural resource dependence does not affect the relationship between intellectual property protection and social R&D investment. The increase of government R&D subsidies in the eastern region has no significant effect on social R&D investment. In contrast, increasing government R&D subsidies in the central and western regions significantly inhibits social R&D investment. Intellectual property protection negatively affects social R&D investment across different regions, and this inhibitory effect is more significant in the eastern and central regions and negligible in the western region. The combined effect of government R&D subsidies and intellectual property protection on social R&D investment remains consistent with the national dimension in the Eastern and Western regions. In contrast, the reverse effect is observed in the central region. These findings offer valuable suggestions.

Suggested Citation

  • Li, Beili & Fan, Xu & Li, Jianjiang, 2024. "Natural resource dependence and government-guided social forces participation in R&D investment: An analysis of the resource curse hypothesis," Resources Policy, Elsevier, vol. 89(C).
  • Handle: RePEc:eee:jrpoli:v:89:y:2024:i:c:s0301420723012308
    DOI: 10.1016/j.resourpol.2023.104519
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0301420723012308
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.resourpol.2023.104519?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:jrpoli:v:89:y:2024:i:c:s0301420723012308. 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/30467 .

    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.