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Learning to walk before you run: Financial Behavior and mobile banking in Madagascar

Author

Listed:
  • Florence Arestoff

    (PSL, Université Paris-Dauphine, LEDa, UMR DIAL)

  • Baptiste Venet

    (PSL, Université Paris-Dauphine, LEDa, UMR DIAL)

Abstract

(english) In Madagascar, Orange introduced its mobile banking services in September 2010. Mobile-banking (m-banking) is a system that allows users to conduct a number of financial transactions through a mobile phone. The existing body of literature suggests that the use of m-banking services may have a positive impact on individual savings, affect money transfer behavior and/or encourage financial inclusion. In 2012, we conducted a survey of 598 randomly selected Orange clients in Antananarivo. We use the matching methodology to assess the impacts of m-banking on clients' financial behavior. The results show that the use of m-banking services increases the number of national remittances sent and received. It is in line with the conclusions of the existing literature devoted to M-Pesa in Kenya. Yet we find that using of m-banking services has no significant impact on the sums saved by users or the sums of remittances sent and received, which appears to contradict the users' perceptions. This result may, however, be explained by a learning-by-doing process: users need to first learn to trust the e-money system before making any significant changes to their financial behavior. _________________________________ (français) En septembre 2010, l’opérateur Orange a introduit les services de banque mobile appelés Orange Money à Madagascar. Ils permettent d’effectuer des opérations de dépôt et de retrait d’argent, de transferts nationaux et de paiements de marchandises. Selon la littérature existante, l’utilisation de ces services engendrerait une augmentation de l’épargne individuelle, pourrait modifier les comportements de transferts et/ou favoriser la bancarisation des plus pauvres. Afin d’analyser les conséquences du m-banking sur les comportements financiers des populations concernées à Madagascar, nous procédons à une étude d’impact reposant sur des données originales. En mars 2012, nous avons réalisé une enquête auprès de 196 clients Orange utilisateurs réguliers des services Orange money et 402 clients Orange non utilisateurs de ces services. Afin de comparer rigoureusement les comportements financiers de ces deux groupes, nous apparions les individus sur la base de leurs scores de propension respectifs. Nos résultats montrent alors que l’utilisation des services Orange Money conduit à accroître significativement la fréquence des transferts envoyés et reçus. Ce résultat est corroboré par l’approche subjective puisque 55% des utilisateurs Orange Money déclarent que ce service les a encouragés à effectuer des transferts plus fréquemment. En revanche, nous montrons qu’Orange Money n’a d’impact significatif ni sur les montants épargnés ni sur les montants transférés (à l’envoi comme à la réception), ce qui tend à contredire le sentiment des utilisateurs. La temporalité des effets des services de m-banking apparaît alors. Les modifications de montants transférés et épargnés s’inscrivent probablement davantage dans la durée alors que la fréquence des transferts serait plus rapidement affectée eu égard au moindre coût et à la facilité d’utilisation d’Orange Money.

Suggested Citation

  • Florence Arestoff & Baptiste Venet, 2013. "Learning to walk before you run: Financial Behavior and mobile banking in Madagascar," Working Papers DT/2013/09, DIAL (Développement, Institutions et Mondialisation).
  • Handle: RePEc:dia:wpaper:dt201309
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    References listed on IDEAS

    as
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    Cited by:

    1. Antoine Dubus & Leo van Hove, 2017. "M-PESA and financial inclusion in Kenya: of paying comes saving?," Working Papers hal-01591200, HAL.
    2. Leo Van Hove & Antoine Dubus, 2019. "M-PESA and Financial Inclusion in Kenya: Of Paying Comes Saving?," Sustainability, MDPI, vol. 11(3), pages 1-26, January.
    3. Metzger, Martina & Were, Maureen & Pédussel Wu, Jennifer, 2022. "Financial inclusion, mobile money and regulatory architecture," IPE Working Papers 202/2022, Berlin School of Economics and Law, Institute for International Political Economy (IPE).
    4. Maëlle Della Peruta, 2015. "Mobile Money Adoption and Financial Inclusion Objectives: A Macroeconomic Approach through a Cluster Analysis," GREDEG Working Papers 2015-49, Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), Université Côte d'Azur, France.
    5. Baptiste Venet, 2019. "Fintech and Financial Inclusion," Post-Print hal-02294648, HAL.

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    More about this item

    Keywords

    Mobile banking; Financial behavior; Low Income countries; Matching methodology; Banque mobile; Matching; Comportements financiers; Pays en développement.;
    All these keywords.

    JEL classification:

    • G2 - Financial Economics - - Financial Institutions and Services
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
    • O16 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Financial Markets; Saving and Capital Investment; Corporate Finance and Governance

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