IDEAS home Printed from https://ideas.repec.org/
MyIDEAS: Login to save this article or follow this journal

Insurance, credit, and technology adoption: Field experimental evidencefrom Malawi

  • Gin, Xavier
  • Yang, Dean

Does production risk suppress the demand for credit? We implemented a randomized field experiment to ask whether provision of insurance against a major source of production risk induces farmers to take out loans to adopt a new crop technology. The study sample was composed of roughly 800 maize and groundnut farmers in Malawi, where by far the dominant source of production risk is the level of rainfall. We randomly selected half of the farmers to be offered credit to purchase high-yielding hybrid maize and groundnut seeds for planting in the November 2006 crop season. The other half of farmers were offered a similar credit package, but were also required to purchase (at actuarially fair rates) a weather insurance policy that partially or fully forgave the loan in the event of poor rainfall. Surprisingly, take-up was lower by 13 percentage points among farmers offered insurance with the loan. Take-up was 33.0% for farmers who were offered the uninsured loan. There is suggestive evidence that reduced take-up of the insured loan was due to farmers already having implicit insurance from the limited liability clause in the loan contract: insured loan take-up was positively correlated with farmer education, income, and wealth, which may proxy for the individual's default costs. By contrast, take-up of the uninsured loan was uncorrelated with these farmer characteristics.

If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

File URL: http://www.sciencedirect.com/science/article/B6VBV-4THC1H8-1/2/1ec0d4775763136eecd38d582b24638b
Download Restriction: Full text for ScienceDirect subscribers only

As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.

Article provided by Elsevier in its journal Journal of Development Economics.

Volume (Year): 89 (2009)
Issue (Month): 1 (May)
Pages: 1-11

as
in new window

Handle: RePEc:eee:deveco:v:89:y:2009:i:1:p:1-11
Contact details of provider: Web page: http://www.elsevier.com/locate/devec

References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:

as in new window
  1. Evenson, Robert E. & Westphal, Larry E., 1995. "Technological change and technology strategy," Handbook of Development Economics, in: Hollis Chenery & T.N. Srinivasan (ed.), Handbook of Development Economics, edition 1, volume 3, chapter 37, pages 2209-2299 Elsevier.
  2. Dercon, Stefan & Christiaensen, Luc, 2007. "Consumption risk, technology adoption, and poverty traps : evidence from Ethiopia," Policy Research Working Paper Series 4257, The World Bank.
  3. Duflo, Esther & Gale, William & Liebman, Jeff & Orszag, Peter & Saez, Emmanuel, 2005. "Saving Incentives for Low- and Middle-Income Families: Evidence from a Field Experiment with H&R Block," CEPR Discussion Papers 5332, C.E.P.R. Discussion Papers.
  4. Besley, T. & Case, A., 1994. "Diffusion as a Learning Process: Evidence from HYV Cotton," Papers 174, Princeton, Woodrow Wilson School - Development Studies.
  5. Dowd, Kevin, 1992. "Optimal Financial Contracts," Oxford Economic Papers, Oxford University Press, vol. 44(4), pages 672-93, October.
  6. Mark Rosenzweig & Andrew D. Foster, . "Learning by Doing and Learning from Others: Human Capital and Technical Change in Agriculture," Home Pages _068, University of Pennsylvania.
  7. Smale, Melinda & Heisey, Paul W & Leathers, Howard D, 1995. "Maize of the Ancestors and Modern Varieties: The Microeconomics of High-Yielding Variety Adoption in Malawi," Economic Development and Cultural Change, University of Chicago Press, vol. 43(2), pages 351-68, January.
  8. A. Colin Cameron & Jonah B. Gelbach & Douglas L. Miller, 2008. "Bootstrap-Based Improvements for Inference with Clustered Errors," The Review of Economics and Statistics, MIT Press, vol. 90(3), pages 414-427, August.
  9. Dean S. Karlan & Jonathan Zinman, 2008. "Credit Elasticities in Less-Developed Economies: Implications for Microfinance," American Economic Review, American Economic Association, vol. 98(3), pages 1040-68, June.
  10. Feder, Gershon & Just, Richard E & Zilberman, David, 1985. "Adoption of Agricultural Innovations in Developing Countries: A Survey," Economic Development and Cultural Change, University of Chicago Press, vol. 33(2), pages 255-98, January.
  11. Marianne Bertrand & Esther Duflo & Sendhil Mullainathan, 2002. "How Much Should We Trust Differences-in-Differences Estimates?," NBER Working Papers 8841, National Bureau of Economic Research, Inc.
  12. Smale, Melinda & Jayne, T.S., 2003. "Maize in Eastern and Southern Africa: 'seeds' of success in retrospect," EPTD discussion papers 97, International Food Policy Research Institute (IFPRI).
  13. Evenson, Robert, 1974. "International Diffusion of Agrarian Technology," The Journal of Economic History, Cambridge University Press, vol. 34(01), pages 51-73, March.
  14. Conley, T.G. & Udry, C.R., 2000. "Learning about a New Technology: Pineapple in Ghana," Papers 817, Yale - Economic Growth Center.
  15. Just, Richard E & Zilberman, David, 1983. "Stochastic Structure, Farm Size and Technology Adoption in Developing Agriculture," Oxford Economic Papers, Oxford University Press, vol. 35(2), pages 307-28, July.
  16. Sendhil Mullainathan & Richard H. Thaler, 2000. "Behavioral Economics," NBER Working Papers 7948, National Bureau of Economic Research, Inc.
  17. Rosenzweig, Mark R & Wolpin, Kenneth I, 1993. "Credit Market Constraints, Consumption Smoothing, and the Accumulation of Durable Production Assets in Low-Income Countries: Investment in Bullocks in India," Journal of Political Economy, University of Chicago Press, vol. 101(2), pages 223-44, April.
  18. Jonathan Conning & Christopher Udry, 2005. "Rural Financial Markets in Developing Countries," Working Papers 914, Economic Growth Center, Yale University.
  19. Munshi, Kaivan, 2004. "Social learning in a heterogeneous population: technology diffusion in the Indian Green Revolution," Journal of Development Economics, Elsevier, vol. 73(1), pages 185-213, February.
  20. Benjamin, Dwayne, 1992. "Household Composition, Labor Markets, and Labor Demand: Testing for Separation in Agricultural Household Models," Econometrica, Econometric Society, vol. 60(2), pages 287-322, March.
  21. Simtowe, Franklin, 2006. "Can Risk-aversion towards fertilizer explain part of the non-adoption puzzle for hybrid maize? Empirical evidence from Malawi," MPRA Paper 1241, University Library of Munich, Germany, revised 20 Dec 2006.
  22. Moulton, Brent R., 1986. "Random group effects and the precision of regression estimates," Journal of Econometrics, Elsevier, vol. 32(3), pages 385-397, August.
  23. Simtowe, Franklin & Zeller, Manfred, 2008. "The Impact of Access to Credit on the Adoption of hybrid maize in Malawi: An Empirical test of an Agricultural Household Model under credit market failure," 2007 Second International Conference, August 20-22, 2007, Accra, Ghana 52076, African Association of Agricultural Economists (AAAE).
  24. Stephen R. Boucher & Michael R. Carter & Catherine Guirkinger, 2008. "Risk Rationing and Wealth Effects in Credit Markets: Theory and Implications for Agricultural Development," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 90(2), pages 409-423.
  25. Besley, Timothy & Case, Anne, 1993. "Modeling Technology Adoption in Developing Countries," American Economic Review, American Economic Association, vol. 83(2), pages 396-402, May.
Full references (including those not matched with items on IDEAS)

This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

When requesting a correction, please mention this item's handle: RePEc:eee:deveco:v:89:y:2009:i:1:p:1-11. See general information about how to correct material in RePEc.

For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Zhang, Lei)

If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

If references are entirely missing, you can add them using this form.

If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.

If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.

Please note that corrections may take a couple of weeks to filter through the various RePEc services.

This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.