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Regional innovation patterns from an evolutionary perspective

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  • 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
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    Cited by:

    1. 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.
    2. 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.
    3. 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.
    4. 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.
    5. 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).
    6. 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.
    7. 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.

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