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The diffusion of mobile telephony in Italy and the UK: an empirical investigation

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  • Silvia Massini

Abstract

Since its appearance mobile telephony has shown a remarkably fast diffusion pattern in most advanced countries. This paper investigates technological and economic factors that have influenced the diffusion process of cellular phones, in particular the diffusion speed and the upper limit. The epidemic model widely used in diffusion studies is summarised and discussed highlighting the evolutionary disequilibrium nature of diffusion processes. Moreover, the econometric specification of some of the models distinguishes between long-run relationships and short-run adjustments to a continuously evolving pattern. We find that the new digital technology, which coincides with increased competition in both Italy and the UK, has made the process faster and increased the saturation level in Italy, but not in the UK; in Italy only the decreasing price of the handset has affected the diffusion process, whereas we find that, in addition to that, decreasing tariffs and increasing consumption expenditures have been significant in shaping the diffusion process of mobile telephony in the UK.

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  • Silvia Massini, 2004. "The diffusion of mobile telephony in Italy and the UK: an empirical investigation," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 13(3), pages 251-277.
    • Handle: RePEc:taf:ecinnt:v:13:y:2004:i:3:p:251-277
    DOI: 10.1080/10438590410001628396
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    2. Baburin, Vyacheslav & Zemtsov, Stepan, 2014. "Diffussion of ICT-products and "five Russias"," MPRA Paper 68926, University Library of Munich, Germany, revised 10 May 2014.
    3. Gamboa, Luis Fernando & Otero, Jesús, 0. "An estimation of the pattern of diffusion of mobile phones: The case of Colombia," Telecommunications Policy, Elsevier, vol. 33(10-11), pages 611-620, November.
    4. Riikonen, Antti & Smura, Timo & Kivi, Antero & Töyli, Juuso, 2013. "Diffusion of mobile handset features: Analysis of turning points and stages," Telecommunications Policy, Elsevier, vol. 37(6), pages 563-572.
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    6. Ashutosh Jha & Manisha Chakrabarty & Debashis Saha, 2023. "Network Investment as Drivers of Mobile Subscription – A Firm-level Analysis," Information Systems Frontiers, Springer, vol. 25(5), pages 1811-1828, October.
    7. 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.
    8. Barman, Hemanta & Dutta, Mrinal Kanti & Nath, Hiranya K., 2018. "The telecommunications divide among Indian states," Telecommunications Policy, Elsevier, vol. 42(7), pages 530-551.
    9. Dewenter, Ralf & Kruse, Jörn, 2011. "Calling party pays or receiving party pays? The diffusion of mobile telephony with endogenous regulation," Information Economics and Policy, Elsevier, vol. 23(1), pages 107-117, March.
    10. Gamboa, Luis Fernando & Gutiérrez, Luis H., 2010. "Public resale of mobile telephone minutes: An alternative access for low-income households in Colombia," Technology in Society, Elsevier, vol. 32(2), pages 122-129.
    11. James G. Mulligan & Nilotpal Das, 2006. "Item Pricing Laws, Supplier Behavior, and the Diffusion of Time-Saving Technology Innovations," Working Papers 06-11, University of Delaware, Department of Economics.
    12. Ashutosh Jha & Debashis Saha, 2022. "Mobile Broadband for Inclusive Connectivity: What Deters the High-Capacity Deployment of 4G-LTE Innovation in India?," Information Systems Frontiers, Springer, vol. 24(4), pages 1305-1329, August.
    13. James G. Mulligan & Nilotpal Das, 2004. "Vintage Effects and the Diffusion of Time-Saving Technological Innovations: The Adoption of Optical Scanners by U.S. Supermarkets."," Working Papers 04-06, University of Delaware, Department of Economics.
    14. 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).
    15. Das Nilotpal & Falaris Evangelos M & Mulligan James G, 2009. "Vintage Effects and the Diffusion of Time-Saving Technological Innovations," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 9(1), pages 1-37, June.
    16. Meade, Nigel & Islam, Towhidul, 2015. "Forecasting in telecommunications and ICT—A review," International Journal of Forecasting, Elsevier, vol. 31(4), pages 1105-1126.

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