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The impact of changes in the AgriStability program on crop activities: A farm modeling approach

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  • Xuan Liu
  • Jun Duan
  • G. Cornelis van Kooten

Abstract

To analyze the production impacts of changes made in 2013 to Canada's AgriStability risk management program, we calibrate a crop allocation model using positive mathematical programming (PMP). Because PMP is not straightforward if farmers are assumed to maximize expected utility (as a risk parameter also needs to be calibrated), we consider possible ways to address this issue but settle on a traditional approach used in the EU's Farm System Simulator. We calibrate farm management models for six different Alberta regions and use it to determine how changes in the AgriStability's payment trigger affect production incentives. Results indicate that, although the initial introduction of the AgriStability program in 2008 might have tilted farmers’ planting decisions toward crops with higher returns and greater risk, changes to this program reduce indemnities and farmers’ expected profits, but do not further alter land‐use decisions. Rather, it is increases in farmers’ aversion to risk that lead to the greatest changes in crop allocation. [EconLit citations: Q14, Q18, C61].

Suggested Citation

  • Xuan Liu & Jun Duan & G. Cornelis van Kooten, 2018. "The impact of changes in the AgriStability program on crop activities: A farm modeling approach," Agribusiness, John Wiley & Sons, Ltd., vol. 34(3), pages 650-667, June.
  • Handle: RePEc:wly:agribz:v:34:y:2018:i:3:p:650-667
    DOI: 10.1002/agr.21544
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    as
    1. K. R. Miltersen, 2003. "Commodity price modelling that matches current observables: a new approach," Quantitative Finance, Taylor & Francis Journals, vol. 3(1), pages 51-58.
    2. Chambers, Robert G., 2007. "AJAE Appendix: Valuing Agricultural Insurance," American Journal of Agricultural Economics APPENDICES, Agricultural and Applied Economics Association, vol. 89(3), pages 1-2, August.
    3. Kym Anderson & Gordon Rausser & Johan Swinnen, 2013. "Political Economy of Public Policies: Insights from Distortions to Agricultural and Food Markets," Journal of Economic Literature, American Economic Association, vol. 51(2), pages 423-477, June.
    4. Coppens,Dominic, 2014. "WTO Disciplines on Subsidies and Countervailing Measures," Cambridge Books, Cambridge University Press, number 9781107014770.
    5. Thomas Heckelei & Hendrik Wolff, 2003. "Estimation of constrained optimisation models for agricultural supply analysis based on generalised maximum entropy," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 30(1), pages 27-50, March.
    6. James Vercammen, 2013. "A Partial Adjustment Model of Federal Direct Payments in Canadian Agriculture," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 61(3), pages 465-485, September.
    7. Argyris Kanellopoulos & Paul Berentsen & Thomas Heckelei & Martin Van Ittersum & Alfons Oude Lansink, 2010. "Assessing the Forecasting Performance of a Generic Bio‐Economic Farm Model Calibrated With Two Different PMP Variants," Journal of Agricultural Economics, Wiley Blackwell, vol. 61(2), pages 274-294, June.
    8. Bessembinder, Hendrik, et al, 1995. "Mean Reversion in Equilibrium Asset Prices: Evidence from the Futures Term Structure," Journal of Finance, American Finance Association, vol. 50(1), pages 361-375, March.
    9. Bruce A. McCarl & David A. Bessler, 1989. "Estimating An Upper Bound On The Pratt Risk A Version Coefficient When The Utility Function Is Unknown," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 33(1), pages 56-63, April.
    10. Richard E. Howitt, 1995. "Positive Mathematical Programming," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 77(2), pages 329-342.
    11. Petsakos, Athanasios & Rozakis, Stelios, 2015. "Calibration of agricultural risk programming models," European Journal of Operational Research, Elsevier, vol. 242(2), pages 536-545.
    12. Calum G. Turvey, 2012. "Whole Farm Income Insurance," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 79(2), pages 515-540, June.
    13. Robert Finger & Niklaus Lehmann, 2012. "The influence of direct payments on farmers’ hail insurance decisions," Agricultural Economics, International Association of Agricultural Economists, vol. 43(3), pages 343-354, May.
    14. Robert G. Chambers, 2007. "Valuing Agricultural Insurance," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 89(3), pages 596-606.
    15. Schwartz, Eduardo S, 1997. "The Stochastic Behavior of Commodity Prices: Implications for Valuation and Hedging," Journal of Finance, American Finance Association, vol. 52(3), pages 923-973, July.
    16. Paolo Sckokai & Daniele Moro, 2009. "Modelling the impact of the CAP Single Farm Payment on farm investment and output," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 36(3), pages 395-423, September.
    17. Pierre Mérel & Richard Howitt, 2014. "Theory and Application of Positive Mathematical Programming in Agriculture and the Environment," Annual Review of Resource Economics, Annual Reviews, vol. 6(1), pages 451-470, October.
    18. Jeder, Houcine & Sghaier, Mongi & Louhichi, Kamel & Reidsma, Pytrik, 2014. "Bio-economic modelling to assess the impact of water pricing policies at the farm level in the Oum Zessar watershed, southern Tunisia," Agricultural Economics Review, Greek Association of Agricultural Economists, vol. 15(2), pages 1-19.
    19. William G. Tomek & Hikaru Hanawa Peterson, 2001. "Risk Management in Agricultural Markets: A Review," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 21(10), pages 953-985, October.
    20. Paolo Sckokai & Daniele Moro, 2006. "Modeling the Reforms of the Common Agricultural Policy for Arable Crops under Uncertainty," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 88(1), pages 43-56.
    21. Trautman, Dawn E. & Jeffrey, Scott R. & Unterschultz, James R., 2013. "Farm Wealth Implications of Canadian Agricultural Business Risk Management Programs," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 149881, Agricultural and Applied Economics Association.
    22. Lars Brink & Bruce McCarl, 1978. "The Tradeoff between Expected Return and Risk Among Cornbelt Farmers," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 60(2), pages 259-263.
    23. David A. Hennessy, 1998. "The Production Effects of Agricultural Income Support Policies under Uncertainty," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 80(1), pages 46-57.
    24. Joseph C. Cooper, 2010. "Average Crop Revenue Election: A Revenue-Based Alternative to Price-Based Commodity Payment Programs," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 92(4), pages 1214-1228.
    25. Petsakos, Athanasios & Rozakis, Stelios, 2011. "Integrating risk and uncertainty in PMP models," 2011 International Congress, August 30-September 2, 2011, Zurich, Switzerland 114762, European Association of Agricultural Economists.
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    Cited by:

    1. Peter Slade, 2021. "The impact of price hedging on subsidized insurance: Evidence from Canada," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 69(4), pages 447-464, December.
    2. Liu, Xuan & van Kooten, Gerrit Cornelis & Duan, Jun, 2020. "Calibration of agricultural risk programming models using positive mathematical programming," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 64(3), July.

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