The thesis investigates the Cultural and Creative Industries (CCI) across European regions (NUTS2), with the aim of examining specialization patterns, sectoral relatedness, and diversification trajectories. Using Eurostat employment data for the periods 2013–2019 and 2021–2022, the study computes revealed comparative advantage (RCA) indices, binary specialization matrices, and relatedness density measures. The analysis identifies which regions show the highest potential for CCI development, highlighting differences between the pre-pandemic and post-pandemic periods. The findings contribute to the debate on the geography of innovation and the role of creative industries as a driver of economic growth and territorial cohesion in Europe.
La tesi analizza le Industrie Culturali e Creative (CCI) a livello regionale europeo (NUTS2) con l’obiettivo di indagare i processi di specializzazione, la relatedness tra settori e le traiettorie di diversificazione. Utilizzando dati Eurostat sull’occupazione culturale per il periodo 2013–2019 e 2021–2022, vengono calcolati indici di vantaggio comparato rivelato (RCA), matrici binarie di specializzazione e misure di relatedness density. L’analisi permette di identificare quali regioni presentano il maggiore potenziale di sviluppo delle CCI, evidenziando le differenze tra il periodo pre-pandemico e post-pandemico. I risultati contribuiscono al dibattito sulla geografia dell’innovazione e sul ruolo delle industrie creative come motore di crescita economica e coesione territoriale in Europa.
Cultural and Creative Industries in Europe: regional specialization, relatedness and development trajectories
CAPORALE, ALESSIA
2024/2025
Abstract
The thesis investigates the Cultural and Creative Industries (CCI) across European regions (NUTS2), with the aim of examining specialization patterns, sectoral relatedness, and diversification trajectories. Using Eurostat employment data for the periods 2013–2019 and 2021–2022, the study computes revealed comparative advantage (RCA) indices, binary specialization matrices, and relatedness density measures. The analysis identifies which regions show the highest potential for CCI development, highlighting differences between the pre-pandemic and post-pandemic periods. The findings contribute to the debate on the geography of innovation and the role of creative industries as a driver of economic growth and territorial cohesion in Europe.| File | Dimensione | Formato | |
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Caporale_Alessia.pdf
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2.18 MB
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2.18 MB | Adobe PDF |
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https://hdl.handle.net/20.500.12608/101394