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Microfinance for agricultural firms - What can we learn from bank data?

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  • Weber, Ron
  • Musshoff, Oliver

Abstract

Using a unique dataset of a commercial microfinance institution (MFI) in Tanzania this paper investigates first whether agricultural firms have a different probability to get a loan and whether their loans are differently volume rationed than loans to non-agricultural firms. Second, we analyze whether agricultural firms repay their loans with different delinquencies than non-agricultural firms. Our results reveal that agricultural firms face higher obstacles to get credit but as soon as they have access to credit, their loans are not differently volume rationed than those of non-agricultural firms. Furthermore, agricultural firms are less often delinquent when paying back their loans than non-agricultural firms. Our findings suggest that a higher risk exposition typically attributed to agricultural production must not necessarily lead to higher credit risk. They also show that the investigated MFI overestimates the credit risk of agricultural clients and, hence, should reconsider its risk assessment practice to be able to increase lending to the agricultural sector. In addition, our results might indicate that farmers qualify less often for a loan as they do not fit into the standard microcredit product.

Suggested Citation

  • Weber, Ron & Musshoff, Oliver, 2012. "Microfinance for agricultural firms - What can we learn from bank data?," 2012 Conference, August 18-24, 2012, Foz do Iguacu, Brazil 126708, International Association of Agricultural Economists.
  • Handle: RePEc:ags:iaae12:126708
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    File URL: http://purl.umn.edu/126708
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    References listed on IDEAS

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    1. Jessica Schicks, 2013. "The Sacrifices of Micro-Borrowers in Ghana -- A Customer-Protection Perspective on Measuring Over-Indebtedness," Journal of Development Studies, Taylor & Francis Journals, vol. 49(9), pages 1238-1255, September.
    2. Rosenzweig, Mark R & Binswanger, Hans P, 1993. "Wealth, Weather Risk and the Composition and Profitability of Agricultural Investments," Economic Journal, Royal Economic Society, vol. 103(416), pages 56-78, January.
    3. D'Espallier, Bert & Guérin, Isabelle & Mersland, Roy, 2011. "Women and Repayment in Microfinance: A Global Analysis," World Development, Elsevier, vol. 39(5), pages 758-772, May.
    4. Martin Petrick, 2004. "A microeconometric analysis of credit rationing in the Polish farm sector," European Review of Agricultural Economics, Foundation for the European Review of Agricultural Economics, vol. 31(1), pages 77-101, March.
    5. Fidrmuc, Jarko & Hainz, Christa, 2010. "Default rates in the loan market for SMEs: Evidence from Slovakia," Economic Systems, Elsevier, vol. 34(2), pages 133-147, June.
    6. Valentina M. Hartarska & Martin Holtmann, 2006. "An overview of recent developments in the microfinance literature," Agricultural Finance Review, Emerald Group Publishing, vol. 66(2), pages 147-165, September.
    7. Agier, Isabelle & Szafarz, Ariane, 2013. "Microfinance and Gender: Is There a Glass Ceiling on Loan Size?," World Development, Elsevier, vol. 42(C), pages 165-181.
    8. Beatriz Armendáriz & Jonathan Morduch, 2010. "The Economics of Microfinance, Second Edition," MIT Press Books, The MIT Press, edition 2, volume 1, number 0262014106, January.
    9. Hisaki KONO & Kazushi TAKAHASHI, 2010. "Microfinance Revolution: Its Effects, Innovations, And Challenges," The Developing Economies, Institute of Developing Economies, vol. 48(1), pages 15-73.
    10. Adams, Dale W. & Graham, Douglas H., 1981. "A critique of traditional agricultural credit projects and policies," Journal of Development Economics, Elsevier, vol. 8(3), pages 347-366, June.
    11. Leif Erec Heimfarth & Oliver Musshoff, 2011. "Weather index-based insurances for farmers in the North China Plain: An analysis of risk reduction potential and basis risk," Agricultural Finance Review, Emerald Group Publishing, vol. 71(2), pages 218-239, August.
    12. Glenn D. Pederson & Lyubov Zech, 2009. "Assessing Credit Risk in an Agricultural Loan Portfolio," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 57(2), pages 169-185, June.
    13. Allen N. Berger & Gregory F. Udell, 2002. "Small Business Credit Availability and Relationship Lending: The Importance of Bank Organisational Structure," Economic Journal, Royal Economic Society, vol. 112(477), pages 32-53, February.
    14. Jaclyn D. Kropp & Calum G. Turvey & David R. Just & Rong Kong & Pei Guo, 2009. "Are the poor really more trustworthy? A micro-lending experiment," Agricultural Finance Review, Emerald Group Publishing, vol. 69(1), pages 67-87, May.
    15. Isabelle Agier & Ariane Szafarz, 2011. "Credit to Women Entrepreneurs: The Curse of the Trustworthier Sex," Working Papers CEB 11-005, ULB -- Universite Libre de Bruxelles.
    16. Beck, Thorsten & Demirguc-Kunt, Asli & Laeven, Luc & Maksimovic, Vojislav, 2006. "The determinants of financing obstacles," Journal of International Money and Finance, Elsevier, vol. 25(6), pages 932-952, October.
    17. Heckman, James, 2013. "Sample selection bias as a specification error," Applied Econometrics, Publishing House "SINERGIA PRESS", vol. 31(3), pages 129-137.
    18. Jaffee, Dwight & Stiglitz, Joseph, 1990. "Credit rationing," Handbook of Monetary Economics,in: B. M. Friedman & F. H. Hahn (ed.), Handbook of Monetary Economics, edition 1, volume 2, chapter 16, pages 837-888 Elsevier.
    19. Foltz, Jeremy D., 2004. "Credit market access and profitability in Tunisian agriculture," Agricultural Economics, Blackwell, vol. 30(3), pages 229-240, May.
    20. Paxson, Christina H, 1992. "Using Weather Variability to Estimate the Response of Savings to Transitory Income in Thailand," American Economic Review, American Economic Association, vol. 82(1), pages 15-33, March.
    21. Petersen, Mitchell A & Rajan, Raghuram G, 1994. " The Benefits of Lending Relationships: Evidence from Small Business Data," Journal of Finance, American Finance Association, vol. 49(1), pages 3-37, March.
    22. Franklin Simtowe & Aliou Diagne & Manfred Zeller, 2008. "Who is credit constrained? evidence from rural Malawi," Agricultural Finance Review, Emerald Group Publishing, vol. 68(2), pages 255-272, November.
    23. Cragg, John G, 1971. "Some Statistical Models for Limited Dependent Variables with Application to the Demand for Durable Goods," Econometrica, Econometric Society, vol. 39(5), pages 829-844, September.
    24. Uthra K. Raghunathan & Cesar L. Escalante & Jeffrey H. Dorfman & Glenn C. W. Ames & Jack E. Houston, 2011. "The effect of agriculture on repayment efficiency: a look at MFI borrowing groups," Agricultural Economics, International Association of Agricultural Economists, vol. 42(4), pages 465-474, July.
    25. Briggeman, Brian C. & Towe, Charles A. & Morehart, Mitchell J., 2007. "Credit Access: Implications for Sole-Proprietor Household Production," 2007 Annual Meeting, July 29-August 1, 2007, Portland, Oregon TN 9707, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
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    More about this item

    Keywords

    Agricultural Finance; Access to Credit; Loan Repayment; Microfinance Institutions; Agricultural Finance; G21; G32; Q14;

    JEL classification:

    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
    • G32 - Financial Economics - - Corporate Finance and Governance - - - Financing Policy; Financial Risk and Risk Management; Capital and Ownership Structure; Value of Firms; Goodwill
    • Q14 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Agricultural Finance

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