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Regular Internet Users Across the Italian Regions

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  • Angelo Leogrande

    (LUM University Giuseppe Degennaro)

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.

Suggested Citation

  • Angelo Leogrande, 2024. "Regular Internet Users Across the Italian Regions," Working Papers hal-04530182, HAL.
    • Handle: RePEc:hal:wpaper:hal-04530182
    Note: View the original document on HAL open archive server: https://hal.science/hal-04530182
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    References listed on IDEAS

    as
    1. Cariolle, Joël & Elkhateeb, Yasmine & Maurel, Mathilde, 2024. "Misinformation technology: Internet use and political misperceptions in Africa," Journal of Comparative Economics, Elsevier, vol. 52(2), pages 400-433.
    2. Eva-Maria Schomakers & Chantal Lidynia & Martina Ziefle, 2020. "All of me? Users’ preferences for privacy-preserving data markets and the importance of anonymity," Electronic Markets, Springer;IIM University of St. Gallen, vol. 30(3), pages 649-665, September.
    3. Leogrande, Angelo, 2024. "The Innovation of the Production System in the Italian Regions," MPRA Paper 120542, University Library of Munich, Germany.
    4. Yu, Dandan & Fiebig, Denzil G., 2020. "Internet use and cognition among middle-aged and older adults in China: A cross-lagged panel analysis," The Journal of the Economics of Ageing, Elsevier, vol. 17(C).
    5. Bayu Kharisma, 2022. "Surfing alone? The Internet and social capital: evidence from Indonesia," Journal of Economic Structures, Springer;Pan-Pacific Association of Input-Output Studies (PAPAIOS), vol. 11(1), pages 1-17, December.
    6. Leogrande, Angelo, 2024. "Knowledge Workers across the Italian Regions," MPRA Paper 120550, University Library of Munich, Germany.
    7. Mo Zhou & Isao Igarashi & Koichi Kawabuchi, 2023. "Static and Dynamic Impacts of Internet Use on Self-Rated Health among Adults in China: A Hybrid Model Analysis Based on National Panel Survey Data," IJERPH, MDPI, vol. 20(2), pages 1-13, January.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    O3 O31 O32 O33 O34 Innovation Innovation and Invention Management of Technological Innovation and R&D Technological Change Intellectual; O3; O31; O32; O33; O34 Innovation; Innovation and Invention; Management of Technological Innovation and R&D; Technological Change; Intellectual;
    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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