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Mobile Internet Adoption in West Africa

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  • Rodriguez Castelan,Carlos
  • Granguillhome Ochoa,Rogelio
  • Lach,Samantha
  • Masaki,Takaaki

Abstract

Mobile broadband internet is the main technology through which individuals access the internet in developing countries. Understanding the barriers to broadband adoption is thus a priority in designing policies aiming to expand access and close the digital divide across socioeconomic groups and territories. This paper exploits data from harmonized household expenditure surveys in seven countries in West Africa in 2018/19—a subregion with one of the lowest levels of mobile internet penetration in the world—to identify the main factors that limit mobile broadband internet adoption. Results show that low levels of household consumption and prices of services are two key constraints. One standard deviation increase in household expenditure, about US$65 per capita per month, is associated with a 6.5 percentage point rise in the probability of adoption, while one standard deviation drop in the price of mobile internet services, about US$3.60, increases the probability of adoption by 2.4 percentage points. Other determinants include demographic characteristics (sex, age, language, urban location), socioeconomic features (educational attainment, sector of employment), and other factors linked to policy (access to electricity, ownership of assets, alternative means of internet access). Results are robust to specifications focusing only in areas with mobile internet coverage (3G).

Suggested Citation

  • Rodriguez Castelan,Carlos & Granguillhome Ochoa,Rogelio & Lach,Samantha & Masaki,Takaaki, 2021. "Mobile Internet Adoption in West Africa," Policy Research Working Paper Series 9560, The World Bank.
  • Handle: RePEc:wbk:wbrwps:9560
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    References listed on IDEAS

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    Cited by:

    1. Rodríguez-Castelán, Carlos & Araar, Abdelkrim & Malásquez, Eduardo A. & Granguillhome Ochoa, Rogelio, 2022. "Competition reform and household welfare: A microsimulation analysis of the telecommunication sector in Ethiopia," Telecommunications Policy, Elsevier, vol. 46(2).
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    3. Seyid Abdellahi Ebnou Abdem & Jérôme Chenal & El Bachir Diop & Rida Azmi & Meriem Adraoui & Cédric Stéphane Tekouabou Koumetio, 2023. "Using Logistic Regression to Predict Access to Essential Services: Electricity and Internet in Nouakchott, Mauritania," Sustainability, MDPI, vol. 15(23), pages 1-28, November.

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    More about this item

    Keywords

    Information Technology; Telecommunications Infrastructure; Educational Sciences;
    All these keywords.

    JEL classification:

    • C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities
    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection
    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
    • L86 - Industrial Organization - - Industry Studies: Services - - - Information and Internet Services; Computer Software
    • O55 - Economic Development, Innovation, Technological Change, and Growth - - Economywide Country Studies - - - Africa

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