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.
Purpose: This longitudinal study analyzes the impact of the digital economy on economic growth in Organisation for Economic Co-operation and Development (OECD)’s countries, divided into groups by their level of development (transition and innovation countries). Originality/value: Empirical studies on information and communications technology (ICT)’s impact on countries’ economic growth have increased over the last few years. However, there are still no studies that analyze this problem for the group of OECD countries, let alone divide these countries according to their level of economic development to assess the differences between more developed countries and less developed. The study of this gap in the literature allows us to infer important implications for policymakers to implement the digital agenda more efficiently. Design/methodology/approach: We used a panel data sample from the World Bank covering 36 OECD countries from 2000 to 2019. A statistical analysis of the variables was carried out separately for all OECD countries and the transition and innovation countries groups. We then performed a correlation analysis between the variables, and three models were estimated using the generalized moments panel method (GMM) using a fixed cross-section. Findings: The impact of the digital economy as measured by the technology proxy – internet, mobile phone, and fixed-broadband – on the economic growth of OECD countries depends on their level of development and the measures of the technologies that capture the digital economy. ICTs positively influence the development of the economies of OECD countries and can be used as instruments by policymakers. These agents must implement policies that strengthen the physical and technological infrastructures of the ICTs, the digital empowerment of human capital, and more significant social equity in accessing the ICTs.
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