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Self-insurance and multi-peril grassland crop insurance: the case of French suckler cow farms

Claire Mosnier (UMRH-EGEE, INRA, UMR 1213-Herbivore, F-63122 Saint-Genès Champanelle, France)

Agricultural Finance Review

ISSN: 0002-1466

Article publication date: 2 November 2015

467

Abstract

Purpose

From the perspectives of the probable replacement of the national calamity funds by multi-peril grassland insurance, the purpose of this paper is to estimate demand for grassland production insurance.

Design/methodology/approach

A discrete stochastic programming model with a three-year planning horizon was used to run simulations for farms raising suckler cows primarily with grasslands. In this model, the annual area insured and some production decisions are optimized under grasland yield uncertainty, with possible ex post production-system adjustments. The effects of insurance loading cost (14 levels), insurance coverage level (three levels), risk aversion (two levels) and stock levels (forage and animal stocks vary according to grassland yields and to farm management of the previous years) were analyzed.

Findings

The results show that grassland insurance could be used as a flexible risk management tool, when farm becomes vulnerable to fodder shortfall. According to previous years’ grassland yields and to the subsequent states of hay stock and animal liveweight, the area insured could vary between nearly the none and full. Farmers with low-average stocking rate and important hay storage capacity have less incentive to buy grassland insurance. The author also demonstrates that for a given loading cost, more insurance is purchased at a coverage level of 70 percent of average yield than at higher coverage levels. The cost of self-insurance increases for important and rare losses while multi-peril grassland insurance premium decreases. Higher levels of risk aversion also raise the quantity of insurance subscribed. Eventually, insurance price is a key factor. Almost no insurance is bought for loading costs greater than 1.1 under low-risk aversion and for loading costs greater than 1.3 under moderate risk aversion.

Research limitations/implications

The willingness to pay for insurance could have been overestimated for different reasons. First, basis risks have not been introduced in the simulation framework. Although the Forage Production Index performed quite well, basis risks are high enough to trigger inappropriate indemnifications in some cases. Consequences of these risks should be estimated in further research. Second, other self-insurance options and public emergency measures such as subsidized loan or reduction in social security contributions should also be considered to assess and reduce farmers vulnerability to risks.

Practical implications

The launching of the multi-peril grassland insurance is likely to be successful thanks to the 65 percent of public subsidies on insurance premiuml. However, considering that the loading cost is likely to be high and that demand for grassland production insurance is rather low, multi-peril grassland production insurance may struggle to continue unsubsidized.

Originality/value

This paper provides a framework that enables to estimate demand for grassland production insurance factoring in substitution with self-insurance and taking into account successive risks.

Keywords

Acknowledgements

The author would like to thank C.G. Turvey, the anonymous reviewers, A. Gohin, A. Reynaud and L. Piet for their valuable comments and suggestions to improve this paper, G. Sigel (Airbus Defence and Space) and C. Fongarnand (Crédit Agricole) for their insider information on grassland insurance, the collaborators, from previous research who contributed to the model development or the empirical analysis cited, Inosys-Réseaux d ' Elevage and the Inra beef cattle farm databases used here for model calibration and validation.

Citation

Mosnier, C. (2015), "Self-insurance and multi-peril grassland crop insurance: the case of French suckler cow farms", Agricultural Finance Review, Vol. 75 No. 4, pp. 533-551. https://doi.org/10.1108/AFR-02-2015-0006

Publisher

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Emerald Group Publishing Limited

Copyright © 2015, Emerald Group Publishing Limited

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