Fixed Broadband Take-Up in Europe

Angelo Leogrande, Nicola Magaletti, Gabriele Cosoli and Alessandro Massaro

MPRA Paper from University Library of Munich, Germany

Abstract: In this article the value of “Fixed Broadband Take Up” in Europe is investigated. Data are collected from the DESI-Digital Economy and Society Index for 28 countries in the period 2016-2021. Data are analyzed with Panel Data with Fixed Effects and Random Effects. The Fixed Broadband Take-Up value is positively associated with the value of "Connectivity", "Human Capital", "Desi Index", "Fast BB NGA Coverage", "Fixed Very High-Capacity Network VHCN coverage". Fixed Broadband Take-Up value is negatively associated with "Digital Public Services for Businesses", "e-Government", "At least Basic Digital Skills", "At Least Basic Software Skills", "Above Basic Digital Skills", "Advanced Skills and Development", "Integration of Digital Technology", "Broadband Price Index", "Mobile Broadband", "Fixed Broadband Coverage". Subsequently the k-Means algorithm optimized by the Silhouette coefficient was used to identify the number of clusters. The analysis shows the presence of the two clusters. Eight different machine learning algorithms were then used to predict the future value of the "Fixed Broadband Take-Up in Europe". The analysis shows that the most efficient algorithm for the prediction is "ANN-Artificial Neural Network" with an estimated value of the prediction equal to 26.39%.

Keywords: nnovation, and Invention: Processes and Incentives; Management of Technological Innovation and R&D; Diffusion Processes; Open Innovation. (search for similar items in EconPapers)
JEL-codes: O3 O30 O31 O32 O33 O34 (search for similar items in EconPapers)
Date: 2022-03-05
New Economics Papers: this item is included in nep-big, nep-ict, nep-ino, nep-pay and nep-sbm
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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