Determinants of mobile Internet adoption by Malian consumers

Authors

  • Madou Cissé Université des Sciences Économiques et de Gestion de Bamako (USSGB), Faculté des Sciences Économiques et de Gestion de Bamako (FSEG), Mali https://orcid.org/0000-0002-4553-3885
  • Falingué Keita Université des Sciences Économiques et de Gestion de Bamako (USSGB), Faculté des Sciences Économiques et de Gestion de Bamako (FSEG), Mali https://orcid.org/0000-0003-1525-0929

DOI:

https://doi.org/10.18559/rielf.2021.1.8

Keywords:

Internet adoption, mobile Internet, Mali

Abstract

This article aims to determine the factors that may explain the adoption of mobile internet in Mali. For this, we used the Logit binary model. This model was estimated by the maximum likelihood method. The data used come from the survey conducted in 2020 by the Research Group in Solidarity and Industrial Economy (GRESI). The results from the econometric estimate show that the adoption of mobile Internet in Mali is explained by age, gender, marital status, professional status, income, price and level of computer training. The results suggest the implementation by the sector regulator of measures allowing greater competition in the Malian mobile Internet market.

Downloads

Download data is not yet available.

References

AMRTP. (2014). Rapport annule 2014. Bamako: La Nouvelle Librairie Bamakoise. AMRTP. (2018). Rapport d’activités annuel 2018. Bamako: Imprim Services.
View in Google Scholar

AMRTP. (2019). Rapport d’activités annuel 2018. Bamako: Imprim Services. Bourbonnais, R. (2018). Économétrie (10ème éd.). Paris: Dunod.
View in Google Scholar

Chauhan, S., Gupta, P., & Jaiswal, M. (2018, Avril 11). Factors inhibiting the internet adoption by base of the pyramid. Digital Policy, Regulation and Governance, 1-14.
View in Google Scholar

Doucouré, F. B. (2015). Méthodes éconmétriques : cours et exrecices résolus. Dakar : Édition Arima.
View in Google Scholar

GRESI. (2020). Rapport final sur l’adoption et les usages de l’Internet mobile au Mali. Bamako: AMRTP.
View in Google Scholar

Hurlin, C. (2003). Modèles Logit multinomiaux ordonnées et non ordonnés. Polycopié de cours à l’intention des étudiants de master Économétrie et Statistique Appliquée (ESA). Université d’Orléans, 521, 1-20.
View in Google Scholar

Kayisire, D., & Wei, J. (2015). ICT adoption and usage in Africa : Towards an efficiency assessment. Information Technology for Development, 1-25.
View in Google Scholar

Keita, M. (2015). Introduction to econometrics. France : École d’Économie, Université d’Auvergne.
View in Google Scholar

Kongaut, C., & Bohlin, E. (2016). Investigating mobile broadband adoption and usage : A case of smartphones in Sweden. Telematics and Informatics, (33), 742-752.
View in Google Scholar

Lethiais, V., & Poussing, N. (2004). Adoption, usages d’Internet et apprentissage : une comparaison Bretagne / Luxembourg. (Centre d’Études de Populations, de Pauvreté et de Politiques Socio-Economiques International Networks for Studies in Technology, Envi- ronment, Alternatives, Development, 1-20).
View in Google Scholar

Maiga, M. (2018). Analyse des déterminants de l’accès à l’emploi dans le secteur informel au Mali. Mémoire de DEA-PTCI, 2, 1-47.
View in Google Scholar

Orange Mali SA. (2021). Oraange. Retrieved January 18, 2021 from https://www.orangemali.com/fr/catalogue/offres-internet-mobile.html
View in Google Scholar

Oyelaran-Oyeyinka, B., & Adeya, C. N. (2004, Février). Internet access in Africa : Empirical evidence from Kenya and Nigeria. Telematics and Informatics, 21(1), 67-81.
View in Google Scholar

Penard, T., Mukoko, B., Poussing, N., & Tamokwe, G. B. (2013). Internet adoption and usage patterns in Africa : Evidence from Cameroon. (CEPS/INSTEAD Working Paper No. 22). Centre d’Etudes de Populations, de Pauvreté et de Politiques Socio Economiques, Université de Luxembourg.
View in Google Scholar

Suire, R., Pénardl, T., & Le Guel, F. (2005). Adoption et usage marchand de l’Internet : une étude économétrique sur données bretonnes. Économie et Prévision, 167, 67-84.
View in Google Scholar

The World Bank. (2021). Tcdata360. Retrieved January 21, 2021 from https://prosperitydata360.worldbank.org/en/home?country=MLI&indicator=3405&countries=com,ssd,rwa,uga,ben,zwe,tcd,bfa,sle,tza,gnb,moz,eth,sen,tgo,eri,gin,gmb,mdg,cod,ner,lbr,mwi,caf,bdi&viz=line_chart&years=2012,2016&compareBy=region
View in Google Scholar

Thomas, A. (2020). Économétrie des variables qualitatives. Paris: Dunod. UIT. (2015). Measuring the information Society Report 2015. Geneva: UIT. UIT. (2016). Measuring the Information Society Report 2016. Geneva: UIT.
View in Google Scholar

UIT. (2017). Measuring the Information Society Report 2017 (vol. 1-2). Geneva: UIT.
View in Google Scholar

UIT. (2018). Measuring the Information Society Report 2018 (vol. 1-2). Geneva: UIT. UIT. (2019). Measuring digital development ICT price trends 2019. Geneva: UIT.
View in Google Scholar

UIT. (2020). Measuring digital development ICT Price Trends 2019. Geneva: Shutterstock.
View in Google Scholar

Downloads

Published

2021-06-30

Issue

Section

Articles

How to Cite

Cissé, M., & Keita, F. (2021). Determinants of mobile Internet adoption by Malian consumers. La Revue Internationale Des Économistes De Langue Française, 6(1), 151-171. https://doi.org/10.18559/rielf.2021.1.8

Similar Articles

1-10 of 20

You may also start an advanced similarity search for this article.