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Adoption and impact of credit-linked crop index insurance: a case study in Mali

Author

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  • Duchoslav, Jan
  • van Asseldonk, Marcel
Abstract
Linking insurance with credit is a promising approach towards overcoming the main difficulties of scaling up crop insurance in Africa. The current research revealed that credit-linked crop insurance adopters in Mali were on average larger households than non-adopters, were living more often from subsistence agriculture, were less patient and less likely to produce maize, while operating on smaller farms. However, propensity score matching revealed that changes in terms of production decisions or wellbeing were limited compared to credit-users. To achieve scaling, linking crop insurance with credit should not only be beneficial for banks to limit their exposure (on a mandatory basis), but should become beneficial as well for smallholders (in terms of better access to credit, lower interest rates or less required collateral).

Suggested Citation

  • Duchoslav, Jan & van Asseldonk, Marcel, 2018. "Adoption and impact of credit-linked crop index insurance: a case study in Mali," Studies in Agricultural Economics, Research Institute for Agricultural Economics, vol. 120(2), August.
    • Handle: RePEc:ags:stagec:276090
    DOI: 10.22004/ag.econ.276090
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    References listed on IDEAS

    as
    1. Michael R. CARTER & Alain de JANVRY & Elisabeth SADOULET & Alexandros SARRIS, 2014. "Index-based weather insurance for developing countries: A review of evidence and a set of propositions for up-scaling," Working Papers P111, FERDI.
    2. David E. Sahn & David Stifel, 2003. "Exploring Alternative Measures of Welfare in the Absence of Expenditure Data," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 49(4), pages 463-489, December.
    3. Thomas Url & Franz Sinabell & Karin Heinschink, 2018. "Addressing basis risk in agricultural margin insurances," Agricultural Finance Review, Emerald Group Publishing Limited, vol. 78(2), pages 233-245, February.
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