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

Price vs. weather shock hedging for cash crops: ex ante evaluation for cotton producers in Cameroon

  • Antoine Leblois

    ()

    (JRC, Ispra - Commission européenne)

  • Philippe Quirion

    ()

    (CIRED - Centre International de Recherche sur l'Environnement et le Développement - Centre de coopération internationale en recherche agronomique pour le développement [CIRAD] : UMR56 - CNRS : UMR8568 - École des Hautes Études en Sciences Sociales (EHESS) - École des Ponts ParisTech (ENPC) - AgroParisTech)

  • Benjamin Sultan

    (LOCEAN - Laboratoire d'Océanographie et du Climat : Expérimentations et Approches Numériques - Institut de recherche pour le développement [IRD] - INSU - CNRS : UMR7159 - Université Pierre et Marie Curie (UPMC) - Paris VI - Muséum National d'Histoire Naturelle (MNHN))

In the Sudano-sahelian zone, which includes Northern Cameroon, the inter- annual variability of the rainy season is high and irrigation scarce. As a consequence, bad rainy seasons have a detrimental impact on crop yield. In this paper, we assess the risk mitigation capacity of weather index-based insurance for cotton farmers. We compare the ability of various indices, mainly based on daily rainfall, to increase the expected utility of a representative risk-averse farmer. We first give a tractable definition of basis risk and use it to show that weather index-based insurance is associated with a large basis risk, whatever the index considered. It has thus limited potential for income smoothing, a conclusion which is robust to the utility function. Second, in accordance with the existing agronomical literature we find that the length of the cotton growing cycle, in days, is the best performing index considered. Third, we show that using observed cotton sowing dates to define the length of the growing cycle significantly decreases the basis risk, compared to using simulated sowing dates. Finally we find that the gain of the weather-index based insurance is lower than that of hedging against cotton price fluctuations provided by the national cotton company. This casts doubt on the strategy of supporting weather-index insurances in cash crop sectors selling at international market prices without recommending any price stabilisation scheme.

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://halshs.archives-ouvertes.fr/docs/00/96/73/13/PDF/ALPQBS_EE_revised_auth.pdf
Download Restriction: no

Paper provided by HAL in its series Post-Print with number halshs-00967313.

as
in new window

Length:
Date of creation: 2014
Date of revision:
Publication status: Published, Ecological Economics, 2014, 42
Handle: RePEc:hal:journl:halshs-00967313
Note: View the original document on HAL open archive server: http://halshs.archives-ouvertes.fr/halshs-00967313
Contact details of provider: Web page: http://hal.archives-ouvertes.fr/

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. 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.
  2. Sommarat Chantarat & Andrew G. Mude & Christopher B. Barrett & Michael R. Carter, 2013. "Designing Index-Based Livestock Insurance for Managing Asset Risk in Northern Kenya," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 80(1), pages 205-237, 03.
  3. Xavier Giné & Robert Townsend & James Vickery, 2007. "Patterns of rainfall insurance participation in rural India," Staff Reports 302, Federal Reserve Bank of New York.
  4. Stefan Dercon & Luc Christiaensen, 2008. "Consumption risk, technology adoption and poverty traps: evidence from Ethiopia," WEF Working Papers 0035, ESRC World Economy and Finance Research Programme, Birkbeck, University of London.
  5. Robert M. Townsend, . "Risk and Insurance in Village India," University of Chicago - Population Research Center 91-3a, Chicago - Population Research Center.
  6. G Lien & JB Hardaker, 2001. "Whole-farm planning under uncertainty: impacts of subsidy scheme and utility function on portfolio choice in Norwegian agriculture," European Review of Agricultural Economics, Foundation for the European Review of Agricultural Economics, vol. 28(1), pages 17-36, March.
  7. Antoine Leblois & Philippe Quirion & Agali Alhassane & Seydou Traoré, 2014. "Weather Index Drought Insurance: An Ex Ante Evaluation for Millet Growers in Niger," Environmental & Resource Economics, European Association of Environmental and Resource Economists, vol. 57(4), pages 527-551, April.
  8. 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.
  9. Robert M. Townsend & Shawn Cole & Jeremy Tobacman & Xavier Gine & James Ian Vickery & Petia Topalova, 2012. "Barriers to Household Risk Management; Evidence from India," IMF Working Papers 12/195, International Monetary Fund.
  10. Delpeuch, Claire & Leblois, Antoine, 2010. "Sub-Saharan African Cotton Policies in Retrospect," 2010 AAAE Third Conference/AEASA 48th Conference, September 19-23, 2010, Cape Town, South Africa 96174, African Association of Agricultural Economists (AAAE);Agricultural Economics Association of South Africa (AEASA).
  11. Karlan, Dean & Morduch, Jonathan, 2010. "Access to Finance," Handbook of Development Economics, Elsevier.
  12. Gunnar Breustedt & Raushan Bokusheva & Olaf Heidelbach, 2008. "Evaluating the Potential of Index Insurance Schemes to Reduce Crop Yield Risk in an Arid Region," Journal of Agricultural Economics, Wiley Blackwell, vol. 59(2), pages 312-328, 06.
  13. Hans P. Binswanger-Mkhize, 2012. "Is There Too Much Hype about Index-based Agricultural Insurance?," Journal of Development Studies, Taylor & Francis Journals, vol. 48(2), pages 187-200, February.
  14. Hill, Ruth Vargas & Hoddinott, John & Kumar, Neha, 2011. "Adoption of weather index insurance: Learning from willingness to pay among a panel of households in rural Ethiopia," IFPRI discussion papers 1088, International Food Policy Research Institute (IFPRI).
  15. Carter, Michael R. & Galarza, Francisco & Boucher, Stephen, 2007. "Underwriting area-based yield insurance to crowd-in credit supply and demand," MPRA Paper 24326, University Library of Munich, Germany.
  16. Dean Karlan & Robert Darko Osei & Isaac Osei-Akoto & Christopher Udry, 2012. "Agricultural Decisions after Relaxing Credit and Risk Constraints," NBER Working Papers 18463, National Bureau of Economic Research, Inc.
  17. Paul MAKDISSI & Quentin WODON, 2004. "Price Liberalization and Farmer Welfare Under Risk Aversion: Cotton in Benin and Ivory Coast," Cahiers de recherche 04-09, Departement d'Economique de la Faculte d'administration à l'Universite de Sherbrooke.
  18. Carter, Michael R. & Galazara, Francisco & Boucher, Steve, 2007. "Underwriting Area-based Yield Insurance to Crowd- in Credit Supply Demand," Working Papers 190918, University of California, Davis, Department of Agricultural and Resource Economics.
  19. Charles A. Holt & Susan K. Laury, 2002. "Risk Aversion and Incentive Effects," American Economic Review, American Economic Association, vol. 92(5), pages 1644-1655, December.
  20. Ahmed Mushfiq Mobarak & Mark R. Rosenzweig, 2013. "Informal Risk Sharing, Index Insurance, and Risk Taking in Developing Countries," American Economic Review, American Economic Association, vol. 103(3), pages 375-80, May.
  21. Ghada Elabed & Marc F. Bellemare & Michael R. Carter & Catherine Guirkinger, 2013. "Managing basis risk with multiscale index insurance," Agricultural Economics, International Association of Agricultural Economists, vol. 44(4-5), pages 419-431, 07.
  22. Binswanger, Hans P, 1981. "Attitudes toward Risk: Theoretical Implications of an Experiment in Rural India," Economic Journal, Royal Economic Society, vol. 91(364), pages 867-90, December.
  23. Barnett, Barry J. & Barrett, Christopher B. & Skees, Jerry R., 2008. "Poverty Traps and Index-Based Risk Transfer Products," World Development, Elsevier, vol. 36(10), pages 1766-1785, October.
  24. Mahmud Yesuf & Randall A. Bluffstone, 2009. "Poverty, Risk Aversion, and Path Dependence in Low-Income Countries: Experimental Evidence from Ethiopia," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 91(4), pages 1022-1037.
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:hal:journl:halshs-00967313. 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: (CCSD)

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.