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e-Government in Europe. A Machine Learning Approach

Author

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  • Leogrande, Angelo
  • Magaletti, Nicola
  • Cosoli, Gabriele
  • Massaro, Alessandro

Abstract

The following article analyzes the determinants of e-government in 28 European countries between 2016 and 2021. The DESI-Digital Economy and Society Index database was used. The econometric analysis involved the use of the Panel Data with Fixed Effects and Panel Data with Variable Effects methods. The results show that the value of “e-Government” is negatively associated with “Fast BB (NGA) coverage”, “Female ICT specialists”, “e-Invoices”, “Big data” and positively associated with “Open Data”, “e-Government Users”, “ICT for environmental sustainability”, “Artificial intelligence”, “Cloud”, “SMEs with at least a basic level of digital intensity”, “ICT Specialists”, “At least 1 Gbps take-up”, “At least 100 Mbps fixed BB take-up”, “Fixed Very High Capacity Network (VHCN) coverage”. A cluster analysis was carried out below using the unsupervised k-Means algorithm optimized with the Silhouette coefficient with the identification of 4 clusters. Finally, a comparison was made between eight different machine learning algorithms using "augmented data". The most efficient algorithm in predicting the value of e-government both in the historical series and with augmented data is the ANN-Artificial Neural Network.

Suggested Citation

  • Leogrande, Angelo & Magaletti, Nicola & Cosoli, Gabriele & Massaro, Alessandro, 2022. "e-Government in Europe. A Machine Learning Approach," MPRA Paper 112242, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:112242
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    File URL: https://mpra.ub.uni-muenchen.de/112242/1/MPRA_paper_112242.pdf
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    References listed on IDEAS

    as
    1. Leogrande, Angelo & Magaletti, Nicola & Cosoli, Gabriele & Massaro, Alessandro, 2022. "Fixed Broadband Take-Up in Europe," MPRA Paper 112246, University Library of Munich, Germany.
    2. Armenia ANDRONICEANU & Jani KINNUNEN & Irina GEORGESCU, 2020. "E-Government Clusters In The Eu Based On The Gaussian Mixture Models," REVISTA ADMINISTRATIE SI MANAGEMENT PUBLIC, Faculty of Administration and Public Management, Academy of Economic Studies, Bucharest, Romania, vol. 2020(35), pages 6-20, December.
    3. Androniceanu Armenia & Georgescu Irina, 2021. "E-Government in European Countries, a Comparative Approach Using the Principal Components Analysis," NISPAcee Journal of Public Administration and Policy, Sciendo, vol. 14(2), pages 65-86, December.
    4. Serhiy SHKARLET & Igor OLIYCHENKO & Maksym DUBYNA & Maryna DITKOVSKA & Vladimir ZHOVTOK, 2020. "Comparative Analysis Of Best Practices In E-Government Implementation And Use Of This Experience By Developing Countries," REVISTA ADMINISTRATIE SI MANAGEMENT PUBLIC, Faculty of Administration and Public Management, Academy of Economic Studies, Bucharest, Romania, vol. 2020(34), pages 118-136, June.
    5. Leogrande, Angelo & Magaletti, Nicola & Cosoli, Gabriele & Massaro, Alessandro, 2022. "Broadband Price Index in Europe," MPRA Paper 112243, University Library of Munich, Germany.
    6. Leogrande, Angelo & Costantiello, Alberto & Laureti, Lucio, 2021. "The Broadband Penetration in Europe," MPRA Paper 110457, University Library of Munich, Germany.
    Full references (including those not matched with items on IDEAS)

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    Cited by:

    1. Sylvia Jenčová & Petra Vašaničová & Marta Miškufová, 2023. "Multidimensional Evaluation of EU and Slovakia in the Context of Digital Transformation," Central European Business Review, Prague University of Economics and Business, vol. 2023(1), pages 65-95.

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    More about this item

    Keywords

    Innovation; and Invention: Processes and Incentives; Management of Technological Innovation and R&D; Diffusion Processes; Open Innovation.;
    All these keywords.

    JEL classification:

    • O30 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - General
    • O31 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Innovation and Invention: Processes and Incentives
    • O32 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Management of Technological Innovation and R&D
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes
    • O34 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Intellectual Property and Intellectual Capital

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