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Integrated database for economic complexity

Articolo
Data di Pubblicazione:
2022
Abstract:
We present an integrated database suitable for the investigation of the economic development of countries by using the Economic Fitness and Complexity framework. Firstly, we implement machine learning techniques to reconstruct the export flow of services and we combine them to the export flow of the physical goods, generating a complete view of the international market, denoted the Integrated database. Successively, we support the technical quality of the database by computing the main metrics of the Economic Fitness and Complexity framework: (i) we build a statistically validated network of economic activities, where preferred paths of development and clusters of High-Tech industries naturally emerge; (ii) we evaluate the Economic Fitness, an algorithmic assessment of the competitiveness of countries, removing the unexpected misbehaviour of economies under-represented by the sole consideration of the export of the physical goods.
Tipologia CRIS:
01.01 Articolo in rivista
Keywords:
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Elenco autori:
Patelli, Aurelio; Zaccaria, Andrea
Autori di Ateneo:
ZACCARIA ANDREA
Link alla scheda completa:
https://iris.cnr.it/handle/20.500.14243/414060
Pubblicato in:
SCIENTIFIC DATA
Journal
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URL

https://www.nature.com/articles/s41597-022-01732-5
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