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New indicators of related diversification applied to smart specialization in European regions

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  • Artur Santoalha

Abstract

This paper proposes two new indicators of related diversification applied to Smart Specialization. The indicators are useful monitoring tools to assess the initial conditions and evolution of the European regions (NUTS-2) regarding one of the orienting principles of Smart Specialization: relatedness. The first indicator ranks regions quantitatively in a given year concerning related variety of specializations; and the second indicator captures to what extent regions acquire, over time, new specializations in related areas. These indexes use the concept of technological relatedness, and are applied to the case of European regions using the Organisation for Economic Co-operation and Development’s (OECD) REGPAT database. The results indicate that regions located at the core of the European continent, as well as Northern European regions, perform better, whereas Southern and Eastern Europe persistently exhibit lower scores.

Suggested Citation

  • Artur Santoalha, 2019. "New indicators of related diversification applied to smart specialization in European regions," Spatial Economic Analysis, Taylor & Francis Journals, vol. 14(4), pages 404-424, October.
    • Handle: RePEc:taf:specan:v:14:y:2019:i:4:p:404-424
    DOI: 10.1080/17421772.2019.1584328
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    Cited by:

    1. Duygu Buyukyazici, 2022. "Skills for Smart Specialization: Relatedness, Complexity and Evaluation of Priorities," Papers in Evolutionary Economic Geography (PEEG) 2218, Utrecht University, Department of Human Geography and Spatial Planning, Group Economic Geography, revised Sep 2022.
    2. Dieter F. Kogler & Ronald B. Davies & Changjun Lee & Keungoui Kim, 2023. "Regional knowledge spaces: the interplay of entry-relatedness and entry-potential for technological change and growth," The Journal of Technology Transfer, Springer, vol. 48(2), pages 645-668, April.
    3. Raquel Ortega-Argilés, 2022. "The evolution of regional entrepreneurship policies: “no one size fits all”," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 69(3), pages 585-610, December.
    4. Barbero, Javier & Diukanova, Olga & Gianelle, Carlo & Salotti, Simone & Santoalha, Artur, 2024. "Technologically related diversification: One size does not fit all European regions," Research Policy, Elsevier, vol. 53(3).
    5. Ron Boschma, 2021. "Designing Smart Specialization Policy: relatedness, unrelatedness, or what?," Papers in Evolutionary Economic Geography (PEEG) 2128, Utrecht University, Department of Human Geography and Spatial Planning, Group Economic Geography, revised Sep 2021.
    6. Javier Barberoa & Olga Diukanovaa & Carlo Gianellea & Simone Salottia & Artur Santoalha, 2020. "Economic modelling to evaluate Smart Specialisation: an analysis on research and innovation targets in Southern Europe," Working Papers on Innovation Studies 20200525, Centre for Technology, Innovation and Culture, University of Oslo.
    7. Javier Barbero & Olga Diukanova & Carlo Gianelle & Simone Salotti & Artur Santoalha, 2022. "Economic modelling to evaluate Smart Specialisation: an analysis of research and innovation targets in Southern Europe," Regional Studies, Taylor & Francis Journals, vol. 56(9), pages 1496-1509, September.
    8. Jason Deegan & Tom Broekel & Rune Dahl Fitjar, 2021. "Searching through the Haystack:The Relatedness and Complexity of Priorities in Smart Specialization Strategies," Economic Geography, Taylor & Francis Journals, vol. 97(5), pages 497-520, October.
    9. Pintar, Nico & Scherngell, Thomas, 2022. "The complex nature of regional knowledge production: Evidence on European regions," Research Policy, Elsevier, vol. 51(8).

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