IDEAS home Printed from https://ideas.repec.org/a/taf/regstd/v52y2018i2p159-171.html
   My bibliography  Save this article

Regional innovation patterns from an evolutionary perspective

Author

Listed:
  • Roberta Capello
  • Camilla Lenzi

Abstract

Regional innovation patterns from an evolutionary perspective. Regional Studies. Based on the conceptual notion and empirical verification that innovation follows differentiated spatial patterns, the paper analyses the conditions that enable changes in regional innovation patterns. Consistently with evolutionary theory, these changes are interpreted as path-dependent processes characterized by trajectories and paradigms, understood as learning processes. The novelty of the work rests on the adaptation of creation, diversification and upgrading pathways – generally used in the literature to explain changes in development paradigms – to the interpretation of changes in learning trajectories and paradigms, and on the empirical validation of this conceptual underpinning.

Suggested Citation

  • Roberta Capello & Camilla Lenzi, 2018. "Regional innovation patterns from an evolutionary perspective," Regional Studies, Taylor & Francis Journals, vol. 52(2), pages 159-171, February.
    • Handle: RePEc:taf:regstd:v:52:y:2018:i:2:p:159-171
    DOI: 10.1080/00343404.2017.1296943
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/00343404.2017.1296943
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/00343404.2017.1296943?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. Beynon, Malcolm & Pickernell, David & Battisti, Martina & Jones, Paul, 2024. "A panel fsQCA investigation on European regional innovation," Technological Forecasting and Social Change, Elsevier, vol. 199(C).
    2. Maria Isabel Pisa & Rosario Sánchez, 2018. "Un análisis regional de las empresas manufactureras españolas para el periodo 2004-2009: Un patrón Noroeste/Suroeste," Revista de Estudios Regionales, Universidades Públicas de Andalucía, vol. 3, pages 221-241.
    3. Carolina Castaldi & Sandro Mendonca, 2021. "Regions and trademarks. Research opportunities and policy insights from leveraging trademarks in regional innovation studies," Papers in Evolutionary Economic Geography (PEEG) 2138, Utrecht University, Department of Human Geography and Spatial Planning, Group Economic Geography, revised Dec 2021.
    4. Beatriz Pereira Almeida & Eduardo Gonçalves & André Suriane Silva & Raquel Coelho Reis, 2021. "Internalization of knowledge spillovers by regions: a measure based on self-citation patents," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 66(2), pages 309-330, April.
    5. Antonio Carlos Campos & Luís Lopes & Carlos Carreira, 2024. "Spatial Autocorrelation of Exports and R&D Expenditures in Portugal," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 15(2), pages 8632-8653, June.
    6. Artur Santoalha & Davide Consoli & Fulvio Castellacci, 2019. "Do digital skills foster green diversification? A study of European regions," Working Papers on Innovation Studies 20191029, Centre for Technology, Innovation and Culture, University of Oslo.
    7. Maruccia, Ylenia & Solazzo, Gianluca & Del Vecchio, Pasquale & Passiante, Giuseppina, 2020. "Evidence from Network Analysis application to Innovation Systems and Quintuple Helix," Technological Forecasting and Social Change, Elsevier, vol. 161(C).
    8. Carolina Castaldi, 2024. "The geography of urban innovation beyond patents only: New evidence on large and secondary cities in the United States," Urban Studies, Urban Studies Journal Limited, vol. 61(7), pages 1248-1272, May.
    9. Jurgita Bruneckiene & Robertas Jucevicius & Ineta Zykiene & Jonas Rapsikevicius & Mantas Lukauskas, 2019. "Assessment of Investment Attractiveness in European Countries by Artificial Neural Networks: What Competences are Needed to Make a Decision on Collective Well-Being?," Sustainability, MDPI, vol. 11(24), pages 1-23, December.
    10. Mark Dean & Al Rainnie & Jim Stanford & Dan Nahum, 2021. "Industrial policy-making after COVID-19: Manufacturing, innovation and sustainability," The Economic and Labour Relations Review, , vol. 32(2), pages 283-303, 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:regstd:v:52:y:2018:i:2:p:159-171. 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/CRES20 .

    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.