Regular Internet Users Across the Italian Regions

Angelo Leogrande

MPRA Paper from University Library of Munich, Germany

Abstract: In the following article I analyze the determinants of regular internet users in the Italian regions. The data is analyzed both in terms of static analysis and also through the application of the k-Means algorithm optimized with the Elbow method. Subsequently, an econometric model is presented for estimating regular internet users in the Italian regions based on variables that reflect the state of technological innovation and digital culture. The results are analyzed and discussed in light of the implications that digitalisation has for triggering economic growth.

Keywords: Innovation; Innovation and Invention; Management of Technological Innovation and R&D; Technological Change; Intellectual Property and Intellectual Capital (search for similar items in EconPapers)
JEL-codes: O30 O31 O32 O33 O34 (search for similar items in EconPapers)
Date: 2024-04-02
New Economics Papers: this item is included in nep-cse, nep-ict, nep-pay, nep-sbm, nep-tid and nep-ure
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https://mpra.ub.uni-muenchen.de/120612/1/MPRA_paper_120612.pdf original version (application/pdf)

Related works:
Working Paper: Regular Internet Users Across the Italian Regions (2024)
Working Paper: Regular Internet Users Across the Italian Regions (2024)
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Persistent link: https://EconPapers.repec.org/RePEc:pra:mprapa:120612

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