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Farm Level Analysis of Risk, and Risk Management Strategies and Policies: Evidence from German Crop Farms

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  • Anton, Jesus
  • Kimura, Shingo

Abstract

This paper describes farmer’s exposures to risks at the individual farm level and develops a model representing the decisions of an individual risk averse farmer facing variability in both prices and yields. A set of stylised risk market instruments is represented. The model is calibrated using farm level data from Germany. Monte-Carlo simulations of the random variables are run, and the corresponding optimal responses are obtained. The main focus of this paper is the interactions between government payments and the farmers’ use of risk market instruments in terms of the potential crowding out of such instruments and impacts on farm return and welfare. Unlike other studies this paper models farming response to payments in terms of production and the use of risk market instruments that are endogenous. Single farm payment mitigates farmer’s efforts to reduce farming risk by the potential crowding out of substitutive strategies. Optimal policy crucially depends on the government objective, for instance risk reduction versus farmers’ welfare.

Suggested Citation

  • Anton, Jesus & Kimura, Shingo, 2009. "Farm Level Analysis of Risk, and Risk Management Strategies and Policies: Evidence from German Crop Farms," 2009 Conference, August 16-22, 2009, Beijing, China 51729, International Association of Agricultural Economists.
    • Handle: RePEc:ags:iaae09:51729
    DOI: 10.22004/ag.econ.51729
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    References listed on IDEAS

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    Cited by:

    1. Uzeaa, Florentina Nicoleta & Poon, Kenneth & Sparling, David & Weersink, Alfons, 2013. "Farm Support Payments and Risk Balancing: Implications for Financial Riskiness of Canadian Farms," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 150708, Agricultural and Applied Economics Association.
    2. El Benni, Nadja & Finger, Robert, 2014. "Where is the risk? Price, yield and cost risk in Swiss crop production," Revue d'Etudes en Agriculture et Environnement, Editions NecPlus, vol. 95(03), pages 299-326, September.
    3. de Mey, Yann & Wauters, Erwin & van Winsen, Frankwin & Vancauteren, Mark & Van Passel, Steven & Lauwers, Ludwig H., 2012. "From total farm to household risk: implication for risk management," 123rd Seminar, February 23-24, 2012, Dublin, Ireland 122470, European Association of Agricultural Economists.
    4. Robert Finger & Nadja El Benni, 2012. "A Note on Price Risks in Swiss Crop Production – Empirical Results and Comparisons with other Countries," Journal of Socio-Economics in Agriculture (Until 2015: Yearbook of Socioeconomics in Agriculture), Swiss Society for Agricultural Economics and Rural Sociology, vol. 5(1), pages 131-151.
    5. Zinnanti, Cinzia & Schimmenti, Emanuele & Borsellino, Valeria & Paolini, Giulio & Severini, Simone, 2019. "Economic performance and risk of farming systems specialized in perennial crops: An analysis of Italian hazelnut production," Agricultural Systems, Elsevier, vol. 176(C).
    6. Finger, Robert, 2012. "How strong is the “natural hedge”? The effects of crop acreage and aggregation levels," 123rd Seminar, February 23-24, 2012, Dublin, Ireland 122538, European Association of Agricultural Economists.
    7. K M Mehedi Adnan & Liu Ying & Zeraibi Ayoub & Swati Anindita Sarker & Rashid Menhas & Feiyu Chen & Man (Mark) Yu, 2020. "Risk Management Strategies to Cope Catastrophic Risks in Agriculture: The Case of Contract Farming, Diversification and Precautionary Savings," Agriculture, MDPI, vol. 10(8), pages 1-16, August.

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