IDEAS home Printed from https://ideas.repec.org/p/oec/stiaaa/2023-04-en.html
   My bibliography  Save this paper

The contribution of R&D specialist institutions to R&D performance: Findings from the NESTI 2022 pilot data collection

Author

Listed:
  • Fernando Galindo-Rueda
  • Brigitte van Beuzekom

Abstract

Long-standing policy interest in the role of organisations specialised in research and experimental development (R&D) raises questions about how these organisations are classified under different institutional sectors and contribute to R&D statistics This paper reports on the findings of the pilot data collection conducted in 2022. The results show a diverse range of R&D specialist ecosystems as well as major reporting gaps. The ultimate aim of this exercise and its recommendations is to demonstrate how several OECD countries are able to provide meaningful statistical results using OECD guidance and promote the mainstreaming of reporting into future national and OECD R&D statistics.

Suggested Citation

  • Fernando Galindo-Rueda & Brigitte van Beuzekom, 2023. "The contribution of R&D specialist institutions to R&D performance: Findings from the NESTI 2022 pilot data collection," OECD Science, Technology and Industry Working Papers 2023/04, OECD Publishing.
    • Handle: RePEc:oec:stiaaa:2023/04-en
    DOI: 10.1787/d7917b11-en
    as

    Download full text from publisher

    File URL: https://doi.org/10.1787/d7917b11-en
    Download Restriction: no
    File URL: https://libkey.io/10.1787/d7917b11-en?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
    ---><---

    More about this item

    JEL classification:

    • O30 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - General
    • O32 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Management of Technological Innovation and R&D
    • C80 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - General

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:oec:stiaaa:2023/04-en. 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: the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/scoecfr.html .

    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.