Price vs. weather shock hedging for cash crops: ex ante evaluation for cotton producers in Cameroon
Antoine Leblois,
Philippe Quirion and
Benjamin Sultan ()
Additional contact information
Benjamin Sultan: LOCEAN - Laboratoire d'Océanographie et du Climat : Expérimentations et Approches Numériques - IPSL - Institut Pierre-Simon-Laplace - ENS-PSL - École normale supérieure - Paris - PSL - Université Paris Sciences et Lettres - UVSQ - Université de Versailles Saint-Quentin-en-Yvelines - UPMC - Université Pierre et Marie Curie - Paris 6 - CEA - Commissariat à l'énergie atomique et aux énergies alternatives - INSU - CNRS - Institut national des sciences de l'Univers - X - École polytechnique - IP Paris - Institut Polytechnique de Paris - CNES - Centre National d'Études Spatiales [Toulouse] - CNRS - Centre National de la Recherche Scientifique - MNHN - Muséum national d'Histoire naturelle - IRD - Institut de Recherche pour le Développement - UPMC - Université Pierre et Marie Curie - Paris 6 - INSU - CNRS - Institut national des sciences de l'Univers - CNRS - Centre National de la Recherche Scientifique
Working Papers from HAL
Abstract:
In the Sudano-sahelian zone, which includes Northern Cameroon, the inter-annual variability of the rainy season is high and irrigation is scarce. As a conse- quence, 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. It has thus limited potential for income smoothing, whatever the index or 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 grow- ing cycle significantly decreases the basis risk, compared to using simulated sowing dates. Finally we found that the gain of the weather-index based insurance is lower than that of hedging against cotton price fluctuations which is provided by the national cotton company. This casts doubts on the strategy of international institutions, which support weather-index insurances in cash crop sectors while pushing to liberalisation without recommending any price stabilization schemes.
Keywords: index-based insurance.; weather; Agriculture; index-based insurance (search for similar items in EconPapers)
Date: 2013-03-04
New Economics Papers: this item is included in nep-afr, nep-agr and nep-ias
Note: View the original document on HAL open archive server: https://hal.science/hal-00796528v1
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
https://hal.science/hal-00796528v1/document (application/pdf)
Related works:
Working Paper: Price vs. weather shock hedging for cash crops: ex ante evaluation for cotton producers in Cameroon (2014) 
Working Paper: Price vs. weather shock hedging for cash crops: ex ante evaluation for cotton producers in Cameroon (2013) 
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:hal:wpaper:hal-00796528
Access Statistics for this paper
More papers in Working Papers from HAL
Bibliographic data for series maintained by CCSD ().