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Farmers’ willingness to pay for digital and conventional credit: Insight from a discrete choice experiment in Madagascar

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  • Yaw Sarfo
  • Oliver Musshoff
  • Ron Weber
  • Michael Danne

Abstract

In recent decades, microfinance institutions with financial products designed for low income groups have been established all over the world. However, credit access for farmers in developing countries remains low. Digital financial services are rapidly expanding globally at the moment. They also bear great potential to address the credit needs of farmers in remote rural areas. Beyond mobile money services, digital credit is successively offered and also discussed in literature. Compared to conventional credit which is granted based on a thorough assessment of the loan applicant’s financial situation, digital credit is granted based on an automated analysis of the existing data of the loan applicant. Despite the potential of digital credit for serving the credit needs of rural farmers, empirical research on farmers’ willingness to pay for digital credit is non-existent. We employ a discrete choice experiment to compare farmers’ willingness to pay for digital and conventional credit. We apply loan attributes which reflect typical characteristics of both credit products. Our results indicate a higher willingness to pay for digital credit compared to conventional credit. Furthermore, we find that the proximity to withdraw borrowed money has a higher effect on farmers’ willingness to pay for digital credit compared to conventional credit. Furthermore, our results show that instalment repayment condition reduces farmers’ willingness to pay for digital credit whilst increasing their willingness to pay for conventional credit. Additionally, we find that longer loan duration has a higher effect on farmers’ willingness to pay for digital credit compared to conventional credit whereas higher additional credit cost has a lower effect on farmers’ willingness to pay for conventional credit compared to digital credit. Our results highlight the potential of digital credit for agricultural finance in rural areas of Madagascar if a certain level of innovation is applied in designing digital credit products.

Suggested Citation

  • Yaw Sarfo & Oliver Musshoff & Ron Weber & Michael Danne, 2021. "Farmers’ willingness to pay for digital and conventional credit: Insight from a discrete choice experiment in Madagascar," PLOS ONE, Public Library of Science, vol. 16(11), pages 1-23, November.
  • Handle: RePEc:plo:pone00:0257909
    DOI: 10.1371/journal.pone.0257909
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    References listed on IDEAS

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    1. Murendo, Conrad & Wollni, Meike, 2016. "Mobile money and household food security in Uganda," GlobalFood Discussion Papers 229805, Georg-August-Universitaet Goettingen, GlobalFood, Department of Agricultural Economics and Rural Development.
    2. Ron Weber & Oliver Musshoff, 2012. "Is agricultural microcredit really more risky? Evidence from Tanzania," Agricultural Finance Review, Emerald Group Publishing Limited, vol. 72(3), pages 416-435, November.
    3. Mamudu A. Akudugu & Irene S. Egyir & Akwasi Mensah‐Bonsu, 2009. "Women farmers' access to credit from rural banks in Ghana," Agricultural Finance Review, Emerald Group Publishing Limited, vol. 69(3), pages 284-299, November.
    4. Foltz, Jeremy D., 2004. "Credit market access and profitability in Tunisian agriculture," Agricultural Economics, Blackwell, vol. 30(3), pages 229-240, May.
    5. Xavier Giné & Pamela Jakiela & Dean Karlan & Jonathan Morduch, 2010. "Microfinance Games," American Economic Journal: Applied Economics, American Economic Association, vol. 2(3), pages 60-95, July.
    6. William Jack & Tavneet Suri, 2014. "Risk Sharing and Transactions Costs: Evidence from Kenya's Mobile Money Revolution," American Economic Review, American Economic Association, vol. 104(1), pages 183-223, January.
    7. Franklin Simtowe & Aliou Diagne & Manfred Zeller, 2008. "Who is credit constrained? evidence from rural Malawi," Agricultural Finance Review, Emerald Group Publishing Limited, vol. 68(2), pages 255-272, November.
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