IDEAS home Printed from https://ideas.repec.org/a/taf/applec/v54y2022i40p4664-4680.html
   My bibliography  Save this article

Assessing the economy-wide impacts of public R&D support options based on a computable general equilibrium model: focusing on types of fiscal incentives and beneficiaries

Author

Listed:
  • Won-Sik Hwang
  • Chanyoung Hong
  • Inha Oh
  • Yeongjun Yeo

Abstract

This study conducted quantitative comparisons of various public R&D support options using a CGE model. The analysis considered four different options by varying the types of fiscal incentives and the scope of beneficiaries concerning the firm size. The findings indicate that direct subsidy is more effective in spurring private R&D investments than indirect tax incentives. In addition, selective R&D support toward small and medium enterprises is found to induce balanced growth among industries. In summary, the simulation results suggest that R&D support under the direct subsidy scheme aimed at SMEs has the potential to achieve a higher equilibrium state within the Korean economy. This study confirms that the government should carefully design the R&D promotion policy by ensuring that direct R&D inducement effects are transmitted to industrial output growth with a diversified industrial structure and higher knowledge spillover effects.

Suggested Citation

  • Won-Sik Hwang & Chanyoung Hong & Inha Oh & Yeongjun Yeo, 2022. "Assessing the economy-wide impacts of public R&D support options based on a computable general equilibrium model: focusing on types of fiscal incentives and beneficiaries," Applied Economics, Taylor & Francis Journals, vol. 54(40), pages 4664-4680, August.
  • Handle: RePEc:taf:applec:v:54:y:2022:i:40:p:4664-4680
    DOI: 10.1080/00036846.2022.2033679
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/00036846.2022.2033679
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/00036846.2022.2033679?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.

    More about this item

    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:taf:applec:v:54:y:2022:i:40:p:4664-4680. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/RAEC20 .

    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.