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Óscar Afonso
Researcher at University of Porto
Publications - 191
Citations - 2036
Óscar Afonso is an academic researcher from University of Porto. The author has contributed to research in topics: Endogenous growth theory & Technological change. The author has an hindex of 24, co-authored 173 publications receiving 1816 citations. Previous affiliations of Óscar Afonso include University of Beira Interior.
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Dirty versus ecological technology in an endogenous growth model
TL;DR: In this paper, an endogenous growth model with renewable and non-renewable intermediate goods (IGs) is developed to study the exogenous environmental quality effects on technological-knowledge bias and on final-good (FG) sector bias.
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Population growth and the wage skill premium
TL;DR: This article developed a general equilibrium directed technical change model with growth of skilled and unskilled labour in order to analyse the effect of heterogeneous population growth on the skill premium and showed that the model can replicate the observed data on skill premium.
Posted Content
A Model of Quality Ladders with Horizontal Entry
TL;DR: In this article, the authors develop a multi-sector model of R&D-driven endogenous growth that merges the expanding-variety with the quality-ladders mechanism to explore the view that wealth can be accumulated either by creating new firms or by accumulating capital, in a setting with no population growth.
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The reform of the EU budget: Finding new own resources
Rui Henrique Alves,Óscar Afonso +1 more
TL;DR: In this article, the authors argue in favour of a significant enlargement of the budget, together with a profound reform of its composition and financing, and propose a new budget model for the European Union.
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Panacea or illusion: An empirical analysis of European science parks in the case of follower regions
TL;DR: In this article, the role of science and technology parks within the innovation system framework is discussed and a set of 55 science parks in the UK, Spain, and Portugal is analyzed to highlight key functions commonly associated with better performing parks.