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Risk and Nitrogen Application Levels

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  • Predrag Rajsic
  • Alfons Weersink
  • Markus Gandorfer

Abstract

Stochastic weather and soil conditions are the suggested reasons why farmers tend to apply more than the recommended levels of nitrogen. This study found that uncertainty plays a role in the application decision of farmers but not in the manner typically assumed. Using a time series of field trials of corn yield to nitrogen for the same site, nitrogen was found to be a risk‐increasing input suggesting that uncertainty should decrease, rather than increase, a risk‐averse farmer's rate of nitrogen application. Similarly, viewing risk as a profit shortfall, in which fertilizer acts in the role of insurance, was also not supported with the empirical results. Instead, the key role of uncertainty is its impact on expected profits. Increasing application rates leads to lower returns in most years but the increase in profits generated under favorable growing conditions results in greater expected profits with a high application strategy. Les conditions météorologiques et pédologiques aléatoires seraient les raisons pour lesquelles les agriculteurs tendent à appliquer des doses d'azote supérieures aux doses recommandées. Selon la présente étude, l'incertitude joue un rôle dans les décisions d'application des agriculteurs, mais d'une façon différente de celle généralement supposée. À l'aide d'une série chronologique d'essais en champ mesurant le rendement du maïs en fonction de l'azote dans le même site, nous avons trouvé que l'azote était un intrant qui augmentait les risques, ce qui laisse supposer que l'incertitude devrait faire diminuer, plutôt que de faire augmenter, la dose d'application d'azote dans le cas d'un producteur qui craint les risques. De même, considérer le risque de baisse des profits où l'engrais assume le rôle d'assurance n'a pas été appuyé par les résultats empiriques. Le rôle clé de l'incertitude est son impact sur les profits prévus. L'augmentation des doses d'application entraîne une diminution des rendements la plupart des années, mais l'augmentation des profits générés dans des conditions de croissance favorables entraîne des profits prévus plus élevés grâce à une meilleure stratégie d'application.

Suggested Citation

  • Predrag Rajsic & Alfons Weersink & Markus Gandorfer, 2009. "Risk and Nitrogen Application Levels," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 57(2), pages 223-239, June.
  • Handle: RePEc:bla:canjag:v:57:y:2009:i:2:p:223-239
    DOI: 10.1111/j.1744-7976.2009.01149.x
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    References listed on IDEAS

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    1. Babcock, Bruce A. & Shogren, Jason F., 1995. "The cost of agricultural production risk," Agricultural Economics, Blackwell, vol. 12(2), pages 141-150, August.
    2. Glenn Sheriff, 2005. "Efficient Waste? Why Farmers Over-Apply Nutrients and the Implications for Policy Design," Review of Agricultural Economics, Agricultural and Applied Economics Association, vol. 27(4), pages 542-557.
    3. Sarin, Rakesh K. & Weber, Martin, 1993. "Risk-value models," European Journal of Operational Research, Elsevier, vol. 70(2), pages 135-149, October.
    4. Jutta Roosen & David A. Hennessy, 2003. "Tests for the Role of Risk Aversion on Input Use," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 85(1), pages 30-43.
    5. David J. Pannell, 2006. "Flat Earth Economics: The Far-reaching Consequences of Flat Payoff Functions in Economic Decision Making," Review of Agricultural Economics, Agricultural and Applied Economics Association, vol. 28(4), pages 553-566.
    6. Richard E. Just & Rulon D. Pope, 1979. "Production Function Estimation and Related Risk Considerations," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 61(2), pages 276-284.
    7. Rajsic, Predrag & Weersink, Alfons, 2008. "Do farmers waste fertilizer? A comparison of ex post optimal nitrogen rates and ex ante recommendations by model, site and year," Agricultural Systems, Elsevier, vol. 97(1-2), pages 56-67, April.
    8. Rothschild, Michael & Stiglitz, Joseph E., 1971. "Increasing risk II: Its economic consequences," Journal of Economic Theory, Elsevier, vol. 3(1), pages 66-84, March.
    9. Carl H. Nelson & Paul V. Preckel, 1989. "The Conditional Beta Distribution as a Stochastic Production Function," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 71(2), pages 370-378.
    10. Pannell, David J. & Malcolm, Bill & Kingwell, Ross S., 2000. "Are we risking too much? Perspectives on risk in farm modelling," Agricultural Economics, Blackwell, vol. 23(1), pages 69-78, June.
    11. Berg, Ernst & Starp, Michael, 2006. "Farm Level Risk Assessment Using Downside Risk Measures," 2006 Annual Meeting, August 12-18, 2006, Queensland, Australia 25400, International Association of Agricultural Economists.
    12. H. Alan Love & Steven T. Buccola, 1991. "Joint Risk Preference-Technology Estimation with a Primal System," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 73(3), pages 765-774.
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