Science and Technology Parks: Opening the Pandora’s Box of Regional Development

Sofia Gomes (), João M. Lopes (), Luís Ferreira () and José Oliveira ()
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Sofia Gomes: University Portucalense
João M. Lopes: NECE-UBI – Research Unit in Business Sciences, University of Beira Interior
Luís Ferreira: Instituto Superior de Administração e Gestão & Research Center in Business Sciences and Tourism (CICET)
José Oliveira: Instituto Superior Politécnico Gaya

Journal of the Knowledge Economy, 2023, vol. 14, issue 3, No 29, 2787-2810

Abstract: Abstract For the last decades, Science and Technology Parks (STPs) have been emerging to help in the development of regions; as a consequence, there has been an improvement in RIS (Regional Innovation System) performance. This research aims to assess the contribution of STPs to the performance improvement of RIS in Portugal. A quantitative methodology is used, based on a framework, which is supported by four latent variables: (1) Policy Instrument (PI); (2) Regional Innovation Inputs (INNI); (3) Regional Innovation Outputs (INNO), and (4) Regional Idiosyncrasies (REG). The data was collected from Regional Innovation Scoreboard reports available for the seven Portuguese regions: North, Center, Lisbon, Alentejo, Algarve, and Autonomous Regions of Azores and Madeira between 2007 and 2018. The working sample is composed of 392 observations. Our findings show a clear innovation delimitation in Portugal. The North, Center, and Lisbon areas are the areas that have strong innovation. The rest of the country has moderate innovation, including the autonomous regions. Nonetheless, an improvement in innovation was registered between 2016 and 2019 in all regions except Alentejo and Algarve. This aligns with the Policy Instrument’s positive influence on the Regional Innovation inputs, which positively influences the Regional Innovation Outputs. The outcome allowed practical suggestions for regional stakeholders. This research is original for its methodological approach, never applied to the Portuguese context.

Keywords: Regional innovation systems; Science and technology parks; Regional innovation scoreboard; Efficiency; Dominant policy input; Structural equation modelling (search for similar items in EconPapers)
Date: 2023
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DOI: 10.1007/s13132-022-00995-y

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