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Economic modelling to evaluate Smart Specialisation: an analysis of research and innovation targets in Southern Europe

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  • Javier Barbero
  • Olga Diukanova
  • Carlo Gianelle
  • Simone Salotti
  • Artur Santoalha

Abstract

We make the case for a technology-enabled approach to Smart Specialisation policymaking aimed at increasing its effectiveness by assessing the general equilibrium effects of the European Cohesion Policy objectives contained in the regional Operational Programmes prepared by the regional policymakers. We simulate the impact of achieving the research and development personnel targets on gross domestic product and its components in a set of Southern European regions. We discuss the implications and challenges of the proposed methodology for future assessments of Smart Specialisation and for its implementation in the regions of the European Union.

Suggested Citation

  • 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.
  • Handle: RePEc:taf:regstd:v:56:y:2022:i:9:p:1496-1509
    DOI: 10.1080/00343404.2021.1926959
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    Cited by:

    1. Francesca Crucitti & Nicholas-Joseph Lazarou & Philippe Monfort & Simone Salotti, 2021. "A scenario analysis of the 2021-2027 European Cohesion Policy in Bulgaria and its regions," JRC Working Papers on Territorial Modelling and Analysis 2021-06, Joint Research Centre.
    2. Rita Lankauskienė & Vitalija Simonaitytė & Živilė Gedminaitė-Raudonė & Jerker Johnson, 2022. "Addressing the European Green Deal with Smart Specialization Strategies in the Baltic Sea Region," Sustainability, MDPI, vol. 14(19), pages 1-17, September.
    3. Brodny, Jarosław & Tutak, Magdalena, 2023. "Assessing regional implementation of Sustainable Development Goal 9 “Build resilient infrastructure, promote sustainable industrialization and foster innovation” in Poland," Technological Forecasting and Social Change, Elsevier, vol. 195(C).

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    More about this item

    JEL classification:

    • C68 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computable General Equilibrium Models
    • O38 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Government Policy
    • R13 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - General Equilibrium and Welfare Economic Analysis of Regional Economies
    • R58 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Regional Government Analysis - - - Regional Development Planning and Policy

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