IDEAS home Printed from https://ideas.repec.org/a/taf/indinn/v28y2021i6p749-772.html
   My bibliography  Save this article

Disentangling regional innovation capability: what really matters?

Author

Listed:
  • Roberto Ganau
  • Roberto Grandinetti

Abstract

Where does innovation come from? And do all regions innovate similarly? We deal with these questions by highlighting the complexity of the concepts of innovation capability and performance, and by testing their association at the European Union regional level. We disentangle inputs of innovation capability, and consider regional heterogeneity in institutional quality, to understand the relative endowment of what innovation inputs is associated with higher relative innovation performance. We find that ‘formal’ inputs – public and business R&D expenditure – do not work unconditionally and everywhere, and that less ‘formal’ ones – e.g., non-R&D expenditure and firms collaborating for innovation – matter particularly in regions with relative low-quality institutions. Moreover, institutional quality emerges as an innovation productivity-enhancing factor.

Suggested Citation

  • Roberto Ganau & Roberto Grandinetti, 2021. "Disentangling regional innovation capability: what really matters?," Industry and Innovation, Taylor & Francis Journals, vol. 28(6), pages 749-772, July.
    • Handle: RePEc:taf:indinn:v:28:y:2021:i:6:p:749-772
    DOI: 10.1080/13662716.2021.1904841
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/13662716.2021.1904841
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/13662716.2021.1904841?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. Leogrande, Angelo & Drago, Carlo & Mallardi, Giulio & Costantiello, Alberto & Magaletti, Nicola, 2024. "Patenting Propensity in Italy: A Machine Learning Approach to Regional Clustering," MPRA Paper 123081, University Library of Munich, Germany.
    2. Weilong Wang & Jianlong Wang & Shaersaikai Wulaer & Bing Chen & Xiaodong Yang, 2021. "The Effect of Innovative Entrepreneurial Vitality on Economic Resilience Based on a Spatial Perspective: Economic Policy Uncertainty as a Moderating Variable," Sustainability, MDPI, vol. 13(19), pages 1-23, September.
    3. Keyan Zheng & Fagang Hu & Yaliu Yang, 2023. "Data-Driven Evaluation and Recommendations for Regional Synergy Innovation Capability," Sustainability, MDPI, vol. 15(14), pages 1-21, July.
    4. Rosalia Castellano & Gaetano Musella & Gennaro Punzo, 2023. "Does context matter? Exploring the effects of productive structures on the relationship between innovation and workforce skills’ complementarity," Quality & Quantity: International Journal of Methodology, Springer, vol. 57(3), pages 1991-2011, June.
    5. Roberto Ganau & Roberto Grandinetti, 2022. "La capacit? innovativa delle regioni: riflessioni sul nuovo "triangolo industriale"," ECONOMIA E SOCIET? REGIONALE, FrancoAngeli Editore, vol. 0(1), pages 105-125.
    6. Mónica Espinosa-Blasco & Gabriel I. Penagos-Londoño & Felipe Ruiz-Moreno & María J. Vilaplana-Aparicio, 2024. "New Insights on the Allocation of Innovation Subsidies: A Machine Learning Approach," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 15(1), pages 2704-2725, March.
    7. Guodong Yan & Lin Zou, 2024. "Cluster heterogeneity and efficiency of innovation network—Evidence from Shanghai and Taizhou in China," Growth and Change, Wiley Blackwell, vol. 55(3), September.
    8. Rosalia Castellano & Gaetano Musella & Gennaro Punzo, 2024. "How Do Agglomeration Externalities and Workforce Skills Drive Innovation? Empirical Evidence from Italy," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 15(2), pages 6737-6760, June.

    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:indinn:v:28:y:2021:i:6:p:749-772. 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/CIAI20 .

    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.