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Public Investment and Regional Diversification in Europe: An Economic Complexity Perspective
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| 9.97 MB | Adobe PDF |
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Orientador(es)
Resumo(s)
While numerous studies have explored whether cohesion funds effectively achieve their
primary goal of promoting regional convergence, this study aims to add a new perspective by
analyzing the impact of European Union (EU) cohesion funds on the economic trajectories of
regions with different complexity levels, focusing on regional and activity complexity. This
approach is built on Hausmann and Hidalgo's theories, highlighting the importance of
economic complexity and activity relatedness networks in shaping regional development. As
regions evolve, their economies diversify into more complex activities related to capabilities
and knowledge. It is interesting to explore the role of cohesion funds in stimulating or
hindering this complexity growth, examining whether funds help regions diversify into more
sophisticated industries or remain in the same sectors over time. Splitting the regions into
three groups, less developed, transition, and more developed, an analysis will be held on the
impact of the funds on the region’s diversification, the level of activity complexity the funds
invest in, how it influences new entries and exits, and the impact on economic growth. Finally,
two case studies of success and unsuccess for each group of regions will help to give more
insight into the path of the drive to success or unsuccess. By analyzing the complexity of
regions and industries alongside relatedness metrics and introducing two new measures for
regional and activity funding capture ability, the study aspires to clarify how regions develop
and evolve. It explores the pathways through which regions might diversify into highercomplexity industries and assesses how cohesion funds influence these development
trajectories. The findings will add knowledge of regional economic development and offer
practical insights into how public investments can enable sustainable growth and
diversification across Europe's diverse regions. This study draws on a dataset of 231 NUTS-2
regions across the 27 EU countries over ten years, using industrial data to assess the
complexity of regional economic activities. The practical implications of this research are
important, as they can guide policymakers in making decisions about regional development
and economic policy.
Descrição
Dissertation presented as the partial requirement for obtaining a Master's degree in Data Science and Advanced Analytics, specialization in Data Science
Palavras-chave
Economic Complexity Product Space Innovation Economics Economic Growth Economic Development Public Investment European Funds