IDEAS home Printed from
   My bibliography  Save this paper

Success factor analysis of the regional innovation-supporting facilities in Korea


  • Young-Hyun Jin

    (Korea Institute of S&T Evaluation and Planning (KISTEP))

  • Chang-Dae Park

    (Korea Institute of S&T Evaluation and Planning (KISTEP))


Korean government has established innovation-supporting facilities in the outside of national capital region. The so-called ?Regional R&D Centers? are equipped with R&D equipment and aim to support R&D activities of the small and medium sized enterprises in the nearby regional industry cluster. Since 2006, more than 582 facilities have been established using more than 10 billion USD. However, there are many debates on the efficacy of the regional R&D centers. In this study, we analyzed the success factors of the selected regional R&D centers using DEA and tobit regression. To measure the efficiency of the regional R&D centers using DEA, we selected budget invested, man-power and operation duration as the input variables and the number companies who utilized the facilities, number of utilization and awareness among the cluster as the output variables. The results showed that the efficiency of the regional R&D centers depends on the types of the host institute of the regional R&D center. We tested the relationship between the efficiency measured by DEA and factors in the planning and operation stages of the centers and environmental factors like GRDP. The tobit analysis showed that the number of partner institutes has strong positive influence to the efficiency in all the efficiency models. The location and support of operational expenses also showed positive influence in some models. The policy implication as well as detailed analysis procedure and results will be discussed in the presentation.

Suggested Citation

  • Young-Hyun Jin & Chang-Dae Park, 2018. "Success factor analysis of the regional innovation-supporting facilities in Korea," Proceedings of International Academic Conferences 6409236, International Institute of Social and Economic Sciences.
  • Handle: RePEc:sek:iacpro:6409236

    Download full text from publisher

    File URL:
    File Function: First version, 2018
    Download Restriction: no

    More about this item


    regional innovation-supporting facility; DEA; tobit regression; success factor analysis;
    All these keywords.

    NEP fields

    This paper has been announced in the following NEP Reports:


    Access and download statistics


    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:sek:iacpro:6409236. 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: Klara Cermakova (email available below). General contact details of provider: .

    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.