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Social Network Effects on Mobile Money Adoption in Uganda

Author

Listed:
  • Conrad Murendo
  • Meike Wollni
  • Alan De Brauw
  • Nicholas Mugabi

Abstract

This study analyses social network effects on the adoption of mobile money among rural households in Uganda. We estimate conditional logistic regressions controlling for correlated effects and other information sources. Results show that mobile money adoption is positively influenced by the size of the social network with which information is exchanged. We further find that this effect is particularly pronounced for non-poor households. Thus, while social networks represent an important target for policy-makers aiming to promote mobile money technology, the poorest households are likely to be excluded and require more tailored policy programmes and assistance.

Suggested Citation

  • Conrad Murendo & Meike Wollni & Alan De Brauw & Nicholas Mugabi, 2018. "Social Network Effects on Mobile Money Adoption in Uganda," Journal of Development Studies, Taylor & Francis Journals, vol. 54(2), pages 327-342, February.
  • Handle: RePEc:taf:jdevst:v:54:y:2018:i:2:p:327-342
    DOI: 10.1080/00220388.2017.1296569
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    Cited by:

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    3. Sionfou Seydou Coulibaly, 2021. "A study of the factors affecting mobile money penetration rates in the West African Economic and Monetary Union (WAEMU) compared with East Africa," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 7(1), pages 1-26, December.
    4. Asongu, Simplice A. & Agyemang-Mintah, Peter & Nting, Rexon T., 2021. "Law, mobile money drivers and mobile money innovations in developing countries," Technological Forecasting and Social Change, Elsevier, vol. 168(C).
    5. Asongu, Simplice & Odhiambo, Nicholas, 2021. "Mobile technology supply factors and mobile money innovation: Thresholds for complementary policies," MPRA Paper 110138, University Library of Munich, Germany.
    6. Leo Van Hove & Antoine Dubus, 2019. "M-PESA and Financial Inclusion in Kenya: Of Paying Comes Saving?," Sustainability, MDPI, Open Access Journal, vol. 11(3), pages 1-26, January.
    7. Mbugua, Mercy & Nzuma, Jonathan, 2020. "Effect of social networks on household dietary diversity: Evidence from smallholder farmers in Kisii and Nyamira counties, Kenya," African Journal of Agricultural and Resource Economics, African Association of Agricultural Economists, vol. 15(3), September.
    8. Koomson, Isaac & Bukari, Chei & Villano, Renato A, 2021. "Mobile money adoption and response to idiosyncratic shocks: Empirics from five selected countries in sub-Saharan Africa," Technological Forecasting and Social Change, Elsevier, vol. 167(C).
    9. Parlasca, Martin & Johnen, Constantin & Qaim, Matin, 2021. "Use of Mobile Financial Services Among Farmers in Africa: Insights from Kenya," 2021 Conference, August 17-31, 2021, Virtual 315863, International Association of Agricultural Economists.
    10. Kazushi Takahashi & Yukichi Mano & Keijiro Otsuka, 2018. "Spillovers as a Driver to Reduce Ex-post Inequality Generated by Randomized Experiments: Evidence from an Agricultural Training Intervention," Working Papers 174, JICA Research Institute.
    11. Nenubari John Ikue & John Sodipo & Samuel Zeb-Omoni & Onyinyechi Uche & Linus Enegesi & Ernest Taenyi & Edwin Ekuase & Mtomabari Simeon & Boma Alalibo, 2021. "Mobile money operations, financial inclusion and Socioeconomic factors in the Niger-Delta Region of Nigeria," International Journal of Research in Business and Social Science (2147-4478), Center for the Strategic Studies in Business and Finance, vol. 10(5), pages 224-234, July.
    12. Gupta, I. & Veettil, P.C. & Speelman, S., 2018. "Caste, Technology and Social Networks," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 277048, International Association of Agricultural Economists.
    13. Joël Cariolle & David Carroll, 2020. "The Use of Digital for Public Service Provision in Sub-Saharan Africa," Working Papers hal-03004535, HAL.
    14. Ameen, Nisreen & Shah, Mahmood Hussain & Sims, Julian & Choudrie, Jyoti & Willis, Robert, 2020. "Are there peas in a pod when considering mobile phone and mobile applications use: A quantitative study," Journal of Retailing and Consumer Services, Elsevier, vol. 55(C).
    15. Takahashi, Kazushi & Mano, Yukichi & Otsuka, Keijiro, 2019. "Learning from experts and peer farmers about rice production: Experimental evidence from Cote d’Ivoire," World Development, Elsevier, vol. 122(C), pages 157-169.
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    More about this item

    JEL classification:

    • D14 - Microeconomics - - Household Behavior - - - Household Saving; Personal Finance
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes
    • Q12 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Micro Analysis of Farm Firms, Farm Households, and Farm Input Markets

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