IDEAS home Printed from https://ideas.repec.org/a/eme/ajemsp/ajems-03-2019-0109.html
   My bibliography  Save this article

Hello, I am calling to ask for some money: mobile phones and credit uptake in rural Ethiopia

Author

Listed:
  • Aregawi Gebremedhin Gebremariam

Abstract

Purpose - It is widely believed that ICT has a significant influence on the daily life of the poor and has positive spillover effects in their livelihoods. Mobile phones are one of the few ICT innovations that have found their way into the hands of the poor residing in remote and rural areas. In Ethiopia, mobile phones are recently introduced but got an acceptance from everyone including the rural poor; in five years’ time, mobile phones subscription has increased from less than 4% to more than 40%. Empirical evidence generally documents the positive role mobile phones play in facilitating the development efforts of poor households. However, using panel data from Ethiopia, the current paper explores a less investigated issue of the possible effects of mobile phone adoption on the credit uptakes of the rural poor who are mostly neglected from the formal credit markets but finance their credit demand from informal sources including relatives/friends. Design/methodology/approach - To investigate the relationship between mobile phones and credit uptake and/or loan size, one can use different empirical strategies. For partly unleashing the endogeneity problem, an instrumental variable estimation approach is adopted in this paper. To deal with the endogeneity problem, one may consider using the linear IV approach or the control function. But the outcome variable and the endogenous variable are binary in nature, and the usual trend is to use the linear IV models or control functions, which do not consider these binary natures of the variables. To this end, a special regressors estimator is adopted, mostly used when both the dependent and the endogenous variables are binary in nature. Findings - The econometric results suggest mobile phones are positively associated with the credit uptake of rural households, especially credit uptake from informal sources. Households with mobile phones are found to have 4%–14% higher probabilities of credit uptake and about 6%–17% in the case of credit from informal sources. Besides, households with mobile phones are found to have about ETB 65 (USD 3.42) higher loan size and about ETB 78 (USD 4.11) higher amount of loan in the case of a loan from the informal sources. Thus, policy-makers and financial providers working on providing credit in rural areas need to exploit the use of mobile phones in reaching out to the rural poor. Originality/value - The author attests the fact that the work described has not been published previously and that it is not under consideration for publication elsewhere. Besides, it is the original work of the author.

Suggested Citation

  • Aregawi Gebremedhin Gebremariam, 2020. "Hello, I am calling to ask for some money: mobile phones and credit uptake in rural Ethiopia," African Journal of Economic and Management Studies, Emerald Group Publishing Limited, vol. 11(3), pages 457-480, April.
  • Handle: RePEc:eme:ajemsp:ajems-03-2019-0109
    DOI: 10.1108/AJEMS-03-2019-0109
    as

    Download full text from publisher

    File URL: https://www.emerald.com/insight/content/doi/10.1108/AJEMS-03-2019-0109/full/html?utm_source=repec&utm_medium=feed&utm_campaign=repec
    Download Restriction: Access to full text is restricted to subscribers

    File URL: https://www.emerald.com/insight/content/doi/10.1108/AJEMS-03-2019-0109/full/pdf?utm_source=repec&utm_medium=feed&utm_campaign=repec
    Download Restriction: Access to full text is restricted to subscribers

    File URL: https://libkey.io/10.1108/AJEMS-03-2019-0109?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    More about this item

    Keywords

    Mobile phones; Ethiopia; Credit uptake; Probi; Special regressor; D14; O17; O33;
    All these keywords.

    JEL classification:

    • D14 - Microeconomics - - Household Behavior - - - Household Saving; Personal Finance
    • O17 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Formal and Informal Sectors; Shadow Economy; Institutional Arrangements
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eme:ajemsp:ajems-03-2019-0109. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Emerald Support (email available below). General contact details of provider: .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.