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Internet Adoption and Use in Cameroon

Author

Listed:
  • Novice P. Bakehe,
  • Ariel H. Fambeu
  • George B. Tamokwe Piaptie

    (University of Douala)

Abstract

The aim of this study was to analyse the changes in the determinants of Internet adoption and use in Cameroon. The study used two individual surveys carried out in 2008 and 2015. Using discrete choice models and a comparative analysis, the study was able to highlight three major results. Firstly, following the emergence of equipment that was more compatible with third-generation (3G) mobile technology (smartphones and tablets), possessing a “traditional” mobile telephone, which could enable Internet adoption in 2008, was no longer relevant in 2015. Other factors, such as being unemployed or possessing a laptop, which were not significant in 2008, had an impact on Internet use in 2015. Secondly, most of the socio-economic and social network factors which influenced Internet adoption and use in 2008 were still relevant in 2015. The key factors were the respondent’s education level, his/her age, and the number of Internet users in his/her social environment. Finally, the study found that the coefficients associated with the marginal effects of most of these invariant factors increased over time both in the Internet adoption and Internet use models. This means that as the Internet penetration rate increased and the means used to have Internet access became more diverse, the first-level and second-level digital divides tended to worsen. These results are likely to help the government develop and implement more effective digital policies aimed at promoting mass Internet use in Cameroon. One will think first and foremost of policies aimed at training and informing the people who do not have Internet access. However, it could also be policies that target those who already use the Internet but are “isolated”, and who do not have access to information and expert advice in their vicinity, and, who, as a consequence, use the Internet in a sub-optimal way and are likely to be disappointed.

Suggested Citation

  • Novice P. Bakehe, & Ariel H. Fambeu & George B. Tamokwe Piaptie, 2017. "Internet Adoption and Use in Cameroon," Working Papers 336, African Economic Research Consortium, Research Department.
  • Handle: RePEc:aer:wpaper:336
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    References listed on IDEAS

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    1. Raphaël Suire, 2007. "Encastrement social et usages de l'Internet : une analyse jointe du commerce et de l'administration électronique," Economie & Prévision, La Documentation Française, vol. 0(4), pages 161-174.
    2. Heckman, James, 2013. "Sample selection bias as a specification error," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 31(3), pages 129-137.
    3. James J. Heckman, 1976. "The Common Structure of Statistical Models of Truncation, Sample Selection and Limited Dependent Variables and a Simple Estimator for Such Models," NBER Chapters, in: Annals of Economic and Social Measurement, Volume 5, number 4, pages 475-492, National Bureau of Economic Research, Inc.
    4. Goolsbee, Austan & Zittrain, Jonathan, 1999. "Evaluating the Costs and Benefits of Taxing Internet Commerce," National Tax Journal, National Tax Association;National Tax Journal, vol. 52(3), pages 413-428, September.
    5. Thierry PENARD & Nicolas POUSSING & Gabriel ZOMO YEBE & Philémon NSI ELLA, 2012. "Comparing the Determinants of Internet and Cell Phone Use in Africa: Evidence from Gabon," Communications & Strategies, IDATE, Com&Strat dept., vol. 1(86), pages 65-83, 2nd quart.
    6. Van de Ven, Wynand P. M. M. & Van Praag, Bernard M. S., 1981. "The demand for deductibles in private health insurance : A probit model with sample selection," Journal of Econometrics, Elsevier, vol. 17(2), pages 229-252, November.
    7. Ajzen, Icek, 1991. "The theory of planned behavior," Organizational Behavior and Human Decision Processes, Elsevier, vol. 50(2), pages 179-211, December.
    8. Goldfarb, Avi & Prince, Jeff, 2008. "Internet adoption and usage patterns are different: Implications for the digital divide," Information Economics and Policy, Elsevier, vol. 20(1), pages 2-15, March.
    9. Fambeu, Ariel Herbert & Bakehe, Novice Patrick, 2015. "Interaction sociale et usages d'Internet au Cameroun," L'Actualité Economique, Société Canadienne de Science Economique, vol. 91(4), pages 421-460, Décembre.
    10. Joeffrey DROUARD, 2010. "Computer Literacy, Online Experience or Socioeconomic Characteristics – What are the Main Determinants of Internet Adoption and Internet Usage?," Communications & Strategies, IDATE, Com&Strat dept., vol. 1(80), pages 83-104, 4th quart.
    11. Goolsbee, Austan & Zittrain, Jonathan, 1999. "Evaluating the Costs and Benefits of Taxing Internet Commerce," National Tax Journal, National Tax Association, vol. 52(n. 3), pages 413-28, September.
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