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Digital opportunities for the distribution of index‐based microinsurance: Evidence from a discrete choice experiment in Mali

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  • Ella Kirchner
  • Oliver Musshoff

Abstract

Index‐based microinsurance is a promising risk management tool for smallholder farmers. Recently, several mobile‐delivered insurance schemes have entered the market. Depending on the degree of digitisation of the product, farmers can learn about the insurance, register, pay premiums and receive payouts via a mobile phone. As cell phone usage and network coverage constantly increase, digitally enabled insurance distribution may overcome previous barriers for insurance adoption. Still, farmers' preferences for these products remain largely unknown. We address this knowledge gap by means of a discrete choice experiment applied to 499 maize farmers in Mali. The experiment presents an easy‐to‐understand multi‐peril crop insurance linked to a greenness index. It focuses on attributes related to the distribution channel and product design. Using mixed logit models, we find that the insurance attributes enabled by mobile‐delivery are attractive to farmers. Product bundles that include mobile‐delivered weather information and agricultural advice in addition to the insurance policy or credit access increase the likelihood of farmers taking out insurance. Similarly, recommendations from fellow farmers increase interest in the insurance product. The results are highly relevant for future product improvements that are needed to increase adoption rates and ultimately realise the loss‐hedging potential of microinsurance.

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  • Ella Kirchner & Oliver Musshoff, 2024. "Digital opportunities for the distribution of index‐based microinsurance: Evidence from a discrete choice experiment in Mali," Journal of Agricultural Economics, Wiley Blackwell, vol. 75(2), pages 794-815, June.
  • Handle: RePEc:bla:jageco:v:75:y:2024:i:2:p:794-815
    DOI: 10.1111/1477-9552.12584
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    1. Lori Beaman & Ariel BenYishay & Jeremy Magruder & Ahmed Mushfiq Mobarak, 2021. "Can Network Theory-Based Targeting Increase Technology Adoption?," American Economic Review, American Economic Association, vol. 111(6), pages 1918-1943, June.
    2. Shawn Cole & Xavier Giné & James Vickery, 2017. "How Does Risk Management Influence Production Decisions? Evidence from a Field Experiment," The Review of Financial Studies, Society for Financial Studies, vol. 30(6), pages 1935-1970.
    3. Jing Cai & Alain de Janvry & Elisabeth Sadoulet, 2020. "Subsidy Policies and Insurance Demand," American Economic Review, American Economic Association, vol. 110(8), pages 2422-2453, August.
    4. Scarpa, Riccardo & Rose, John M., 2008. "Design efficiency for non-market valuation with choice modelling: how to measure it, what to report and why," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 52(3), pages 1-30.
    5. Gin, Xavier & Yang, Dean, 2009. "Insurance, credit, and technology adoption: Field experimental evidencefrom Malawi," Journal of Development Economics, Elsevier, vol. 89(1), pages 1-11, May.
    6. Elinor Benami & Michael R. Carter, 2021. "Can digital technologies reshape rural microfinance? Implications for savings, credit, & insurance," Applied Economic Perspectives and Policy, John Wiley & Sons, vol. 43(4), pages 1196-1220, December.
    7. Wuyang Hu & Shan Sun & Jerrod Penn & Ping Qing, 2022. "Dummy and effects coding variables in discrete choice analysis," American Journal of Agricultural Economics, John Wiley & Sons, vol. 104(5), pages 1770-1788, October.
    8. Cai, Jing & Song, Changcheng, 2017. "Do disaster experience and knowledge affect insurance take-up decisions?," Journal of Development Economics, Elsevier, vol. 124(C), pages 83-94.
    9. Shawn Cole & Xavier Gine & Jeremy Tobacman & Petia Topalova & Robert Townsend & James Vickery, 2013. "Barriers to Household Risk Management: Evidence from India," American Economic Journal: Applied Economics, American Economic Association, vol. 5(1), pages 104-135, January.
    10. Willemijn Vroege & Janic Bucheli & Tobias Dalhaus & Martin Hirschi & Robert Finger, 2021. "Insuring crops from space: the potential of satellite-retrieved soil moisture to reduce farmers’ drought risk exposure," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 48(2), pages 266-314.
    11. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521766555, September.
    12. Barry J. Barnett & Olivier Mahul, 2007. "Weather Index Insurance for Agriculture and Rural Areas in Lower-Income Countries," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 89(5), pages 1241-1247.
    13. Kati Kraehnert & Veronika Bertram-Huemmer, 2018. "Weather Index Insurance Can Help Households Recover from Extreme Weather Events," DIW Weekly Report, DIW Berlin, German Institute for Economic Research, vol. 8(40), pages 385-391.
    14. Farrin, Katie & Miranda, Mario J., 2015. "A heterogeneous agent model of credit-linked index insurance and farm technology adoption," Journal of Development Economics, Elsevier, vol. 116(C), pages 199-211.
    15. Veronika Bertram-Huemmer & Kati Kraehnert, 2018. "Does Index Insurance Help Households Recover from Disaster? Evidence from IBLI Mongolia," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 100(1), pages 145-171.
    16. Carter, Michael R. & Cheng, Lan & Sarris, Alexandros, 2016. "Where and how index insurance can boost the adoption of improved agricultural technologies," Journal of Development Economics, Elsevier, vol. 118(C), pages 59-71.
    17. Beaman, Lori & Dillon, Andrew, 2018. "Diffusion of agricultural information within social networks: Evidence on gender inequalities from Mali," Journal of Development Economics, Elsevier, vol. 133(C), pages 147-161.
    18. Arne Risa Hole, 2007. "Fitting mixed logit models by using maximum simulated likelihood," Stata Journal, StataCorp LP, vol. 7(3), pages 388-401, September.
    19. Hausman, Jerry & McFadden, Daniel, 1984. "Specification Tests for the Multinomial Logit Model," Econometrica, Econometric Society, vol. 52(5), pages 1219-1240, September.
    20. Shawn Cole & Daniel Stein & Jeremy Tobacman, 2014. "Dynamics of Demand for Index Insurance: Evidence from a Long-Run Field Experiment," American Economic Review, American Economic Association, vol. 104(5), pages 284-290, May.
    21. Platteau, Jean-Philippe & De Bock, Ombeline & Gelade, Wouter, 2017. "The Demand for Microinsurance: A Literature Review," World Development, Elsevier, vol. 94(C), pages 139-156.
    22. Yegbemey, Rosaine N. & Bensch, Gunther & Vance, Colin, 2023. "Weather information and agricultural outcomes: Evidence from a pilot field experiment in Benin," World Development, Elsevier, vol. 167(C).
    23. Galarza, Francisco B. & Carter, Michael R., 2010. "Risk Preferences and Demand for Insurance in Peru: A Field Experiment," 2010 Annual Meeting, July 25-27, 2010, Denver, Colorado 61871, Agricultural and Applied Economics Association.
    24. Abhijit Banerjee & Arun G Chandrasekhar & Esther Duflo & Matthew O Jackson, 2019. "Using Gossips to Spread Information: Theory and Evidence from Two Randomized Controlled Trials," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 86(6), pages 2453-2490.
    25. Sarah A Janzen & Michael R Carter, 2019. "After the Drought: The Impact of Microinsurance on Consumption Smoothing and Asset Protection," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 101(3), pages 651-671.
    26. Ranjan Kumar Ghosh & Shweta Gupta & Vartika Singh & Patrick S. Ward, 2021. "Demand for Crop Insurance in Developing Countries: New Evidence from India," Journal of Agricultural Economics, Wiley Blackwell, vol. 72(1), pages 293-320, February.
    27. Ayako Matsuda & Takashi Kurosaki, 2019. "Demand for temperature and rainfall index insurance in India," Agricultural Economics, International Association of Agricultural Economists, vol. 50(3), pages 353-366, May.
    28. Jing Cai & Alain De Janvry & Elisabeth Sadoulet, 2015. "Social Networks and the Decision to Insure," American Economic Journal: Applied Economics, American Economic Association, vol. 7(2), pages 81-108, April.
    29. Richard A. Gallenstein & Khushbu Mishra & Abdoul G. Sam & Mario J. Miranda, 2019. "Willingness to Pay for Insured Loans in Northern Ghana," Journal of Agricultural Economics, Wiley Blackwell, vol. 70(3), pages 640-662, September.
    30. Ruth Vargas Hill & Miguel Robles & Francisco Ceballos, 2016. "Demand for a Simple Weather Insurance Product in India: Theory and Evidence," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 98(4), pages 1250-1270.
    31. Khushbu Mishra & Richard A. Gallenstein & Mario J. Miranda & Abdoul G. Sam & Patricia Toledo & Francis Mulangu, 2021. "Insured Loans and Credit Access: Evidence from a Randomized Field Experiment in Northern Ghana," American Journal of Agricultural Economics, John Wiley & Sons, vol. 103(3), pages 923-943, May.
    32. Hill, Ruth Vargas & Kumar, Neha & Magnan, Nicholas & Makhija, Simrin & de Nicola, Francesca & Spielman, David J. & Ward, Patrick S., 2019. "Ex ante and ex post effects of hybrid index insurance in Bangladesh," Journal of Development Economics, Elsevier, vol. 136(C), pages 1-17.
    33. Xavier Giné & Robert Townsend & James Vickery, 2008. "Patterns of Rainfall Insurance Participation in Rural India," The World Bank Economic Review, World Bank, vol. 22(3), pages 539-566, October.
    34. Jeff Bennett & Ekin Birol (ed.), 2010. "Choice Experiments in Developing Countries," Books, Edward Elgar Publishing, number 13208.
    35. Berber Kramer & Peter Hazell & Harold Alderman & Francisco Ceballos & Neha Kumar & Anne G. Timu, 2022. "Is Agricultural Insurance Fulfilling Its Promise for the Developing World? A Review of Recent Evidence," Annual Review of Resource Economics, Annual Reviews, vol. 14(1), pages 291-311, October.
    36. Ölkers, Tim & Liu, Shuang & Mußhoff, Oliver, 2023. "A typology of Malian farmers and their credit repayment performance - An unsupervised machine learning approach," 97th Annual Conference, March 27-29, 2023, Warwick University, Coventry, UK 334547, Agricultural Economics Society - AES.
    37. Stein, Daniel, 2014. "Dynamics of demand for rainfall index insurance : evidence from a commercial product in India," Policy Research Working Paper Series 7035, The World Bank.
    38. Eline Broek-Altenburg & Adam Atherly, 2020. "Using discrete choice experiments to measure preferences for hard to observe choice attributes to inform health policy decisions," Health Economics Review, Springer, vol. 10(1), pages 1-8, December.
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