IDEAS home Printed from https://ideas.repec.org/a/kap/netnom/v22y2021i2d10.1007_s11066-021-09145-z.html
   My bibliography  Save this article

A revisit of fixed and mobile broadband diffusion in the OECD: a new classification

Author

Listed:
  • Elias Aravantinos

    (National and Kapodistrian University of Athens)

  • Dimitris Varoutas

    (National and Kapodistrian University of Athens)

Abstract

Broadband (BB) communications lie at the heart of any developing information and digital society. Employing the Gompertz model in a time-series study, we analyze the factors that influence the diffusion of fixed and mobile broadband across the OECD countries that have been categorized into five groups based on the stage of innovation, between 1998 and 2015. We find that although the diffusion time is similar for both technologies, the mobile broadband diffusion’s inflection time is asymmetric over the symmetric fixed broadband. The adoption time is almost double compared to the fixed, revealing a strong preference mostly of the developed countries on fixed broadband technology. Moreover, three out of the five innovation categories, in the classification method, the early adopters, early and late majority are really close to Roger’s criteria, aligning with recent literature findings, where countries are clustered into three groups, categorized by their diffusion rates and diffusion speeds.

Suggested Citation

  • Elias Aravantinos & Dimitris Varoutas, 2021. "A revisit of fixed and mobile broadband diffusion in the OECD: a new classification," Netnomics, Springer, vol. 22(2), pages 71-84, December.
    • Handle: RePEc:kap:netnom:v:22:y:2021:i:2:d:10.1007_s11066-021-09145-z
    DOI: 10.1007/s11066-021-09145-z
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11066-021-09145-z
    File Function: Abstract
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1007/s11066-021-09145-z?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to look for a different version below or search for a different version of it.

    Other versions of this item:

    References listed on IDEAS

    as
    1. Lin, Mao-Shong & Wu, Feng-Shang, 2013. "Identifying the determinants of broadband adoption by diffusion stage in OECD countries," Telecommunications Policy, Elsevier, vol. 37(4), pages 241-251.
    2. Rouvinen, Petri, 2006. "Diffusion of digital mobile telephony: Are developing countries different?," Telecommunications Policy, Elsevier, vol. 30(1), pages 46-63, February.
    3. Muhammad Tariq Majeed, 2020. "Do digital governments foster economic growth in the developing world? An empirical analysis," Netnomics, Springer, vol. 21(1), pages 1-16, December.
    4. Meade, Nigel & Islam, Towhidul, 2006. "Modelling and forecasting the diffusion of innovation - A 25-year review," International Journal of Forecasting, Elsevier, vol. 22(3), pages 519-545.
    5. Teklemariam, Mekuria Haile & Kwon, Youngsun, 2020. "Differentiating mobile broadband policies across diffusion stages: A panel data analysis," Telecommunications Policy, Elsevier, vol. 44(8).
    6. Wu, Feng-Shang & Chu, Wen-Lin, 2010. "Diffusion models of mobile telephony," Journal of Business Research, Elsevier, vol. 63(5), pages 497-501, May.
    7. Meade, Nigel & Islam, Towhidul, 2015. "Forecasting in telecommunications and ICT—A review," International Journal of Forecasting, Elsevier, vol. 31(4), pages 1105-1126.
    8. Yamakawa, Peter & Rees, Gareth H. & Manuel Salas, José & Alva, Nikolai, 2013. "The diffusion of mobile telephones: An empirical analysis for Peru," Telecommunications Policy, Elsevier, vol. 37(6), pages 594-606.
    9. Koutroumpis, Pantelis, 2019. "The economic impact of broadband: Evidence from OECD countries," Technological Forecasting and Social Change, Elsevier, vol. 148(C).
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Winkler, Kay, 2014. "Potential Effects of New Zealand's Policy on Next Generation High-Speed Access Networks," Working Paper Series 4347, Victoria University of Wellington, The New Zealand Institute for the Study of Competition and Regulation.
    2. Avila, Luz Angelica Pirir & Lee, Deok-Joo & Kim, Taegu, 2018. "Diffusion and competitive relationship of mobile telephone service in Guatemala: An empirical analysis," Telecommunications Policy, Elsevier, vol. 42(2), pages 116-126.
    3. Rządkowski Grzegorz & Głażewska Iwona & Sawińska Katarzyna, 2014. "Logistic Function as a Tool of Planning," Foundations of Management, Sciendo, vol. 6(1), pages 57-70, June.
    4. Jha, Ashutosh & Saha, Debashis, 2020. "“Forecasting and analysing the characteristics of 3G and 4G mobile broadband diffusion in India: A comparative evaluation of Bass, Norton-Bass, Gompertz, and logistic growth models”," Technological Forecasting and Social Change, Elsevier, vol. 152(C).
    5. Thakur Dhakal & Dae-Eun Lim, 2020. "Understanding ICT adoption in SAARC member countries," Letters in Spatial and Resource Sciences, Springer, vol. 13(1), pages 67-80, April.
    6. repec:vuw:vuwscr:19308 is not listed on IDEAS
    7. Baburin, Vyacheslav & Zemtsov, Stepan, 2014. "Diffussion of ICT-products and "five Russias"," MPRA Paper 68926, University Library of Munich, Germany, revised 10 May 2014.
    8. Rządkowski Grzegorz & Sobczak Lidia, 2020. "A Generalized Logistic Function and its Applications," Foundations of Management, Sciendo, vol. 12(1), pages 85-92, January.
    9. Eleni Laitsou & Antonios Kargas & Dimitris Varoutas, 2020. "Digital Competitiveness in the European Union Era: The Greek Case," Economies, MDPI, vol. 8(4), pages 1-33, October.
    10. Meade, Nigel & Islam, Towhidul, 2015. "Forecasting in telecommunications and ICT—A review," International Journal of Forecasting, Elsevier, vol. 31(4), pages 1105-1126.
    11. Yamakawa, Peter & Rees, Gareth H. & Manuel Salas, José & Alva, Nikolai, 2013. "The diffusion of mobile telephones: An empirical analysis for Peru," Telecommunications Policy, Elsevier, vol. 37(6), pages 594-606.
    12. Winkler, Kay, 2014. "Potential Effects of New Zealand's Policy on Next Generation High-Speed Access Networks," Working Paper Series 19308, Victoria University of Wellington, The New Zealand Institute for the Study of Competition and Regulation.
    13. Bacha, Radia & Gasmi, Farid, 2022. "The broadband diffusion process and its determinants in Algeria: A simultaneous estimation," TSE Working Papers 22-1309, Toulouse School of Economics (TSE).
    14. Al-Alawi, Baha M. & Bradley, Thomas H., 2013. "Review of hybrid, plug-in hybrid, and electric vehicle market modeling Studies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 21(C), pages 190-203.
    15. Lee, Chul-Yong & Huh, Sung-Yoon, 2017. "Forecasting the diffusion of renewable electricity considering the impact of policy and oil prices: The case of South Korea," Applied Energy, Elsevier, vol. 197(C), pages 29-39.
    16. João A. Bastos, 2019. "Forecasting the capacity of mobile networks," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 72(2), pages 231-242, October.
    17. Sergei Sidorov & Alexey Faizliev & Vladimir Balash & Olga Balash & Maria Krylova & Aleksandr Fomenko, 2021. "Extended innovation diffusion models and their empirical performance on real propagation data," Journal of Marketing Analytics, Palgrave Macmillan, vol. 9(2), pages 99-110, June.
    18. Aravantinos, Elias & Petre, Konstantin & Katsianis, Dimitris & Varoutas, Dimitris, 2021. "Determinants of FTTH tariffs evolution in EU: A panel data analysis," Telecommunications Policy, Elsevier, vol. 45(10).
    19. Martins, Maria Lurdes, 2023. "Cybersecurity provision and online services access and usage," 32nd European Regional ITS Conference, Madrid 2023: Realising the digital decade in the European Union – Easier said than done? 278001, International Telecommunications Society (ITS).
    20. Xiaoxia Fu & Ping Zhang & Juzhi Zhang, 2017. "Forecasting and Analyzing Internet Users of China with Lotka–Volterra Model," Asia-Pacific Journal of Operational Research (APJOR), World Scientific Publishing Co. Pte. Ltd., vol. 34(01), pages 1-18, February.
    21. Petropoulos, Fotios & Apiletti, Daniele & Assimakopoulos, Vassilios & Babai, Mohamed Zied & Barrow, Devon K. & Ben Taieb, Souhaib & Bergmeir, Christoph & Bessa, Ricardo J. & Bijak, Jakub & Boylan, Joh, 2022. "Forecasting: theory and practice," International Journal of Forecasting, Elsevier, vol. 38(3), pages 705-871.
      • Fotios Petropoulos & Daniele Apiletti & Vassilios Assimakopoulos & Mohamed Zied Babai & Devon K. Barrow & Souhaib Ben Taieb & Christoph Bergmeir & Ricardo J. Bessa & Jakub Bijak & John E. Boylan & Jet, 2020. "Forecasting: theory and practice," Papers 2012.03854, arXiv.org, revised Jan 2022.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:kap:netnom:v:22:y:2021:i:2:d:10.1007_s11066-021-09145-z. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.