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Analyzing Tenure Arrangements and Crop Rotations Using Farm Simulation and Probit Analysis

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  • Perry, Gregory M.
  • Rister, M. Edward
  • Richardson, James W.
  • Grant, Warren R.
Abstract
Whole farm simulation analysis and econometric techniques are employed in an analysis of crop rotations and tenure arrangement strategies. The FLIPSIM model is used to analyze a representative Texas Upper Gulf Coast rice and soybean farm. Probit analysis is then used to determine the impact of net cash farm income, land tenure, and crop rotation on probability of survival. Results suggest that, although the simulation model is useful in providing information on the effect at the farm level of following the different strategies, probit results provide greater understanding into the returns and risk inherent to each strategy.

Suggested Citation

  • Perry, Gregory M. & Rister, M. Edward & Richardson, James W. & Grant, Warren R., 1986. "Analyzing Tenure Arrangements and Crop Rotations Using Farm Simulation and Probit Analysis," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 18(2), pages 165-174, December.
  • Handle: RePEc:cup:jagaec:v:18:y:1986:i:02:p:165-174_00
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    References listed on IDEAS

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    1. Musser, Wesley N. & Alexander, Vickie J. & Tew, Bernard V. & Smittle, Doyle A., 1985. "A Mathematical Programming Model For Vegetable Rotations," Southern Journal of Agricultural Economics, Southern Agricultural Economics Association, vol. 17(1), pages 1-8, July.
    2. Anderson, Jock R. & Dillon, John L. & Hardaker, Brian, 1977. "Agricultural Decision Analysis," Monographs: Applied Economics, AgEcon Search, number 288652, November.
    3. Anderson, Jock R. & Feder, Gershon, 2007. "Agricultural Extension," Handbook of Agricultural Economics, in: Robert Evenson & Prabhu Pingali (ed.), Handbook of Agricultural Economics, edition 1, volume 3, chapter 44, pages 2343-2378, Elsevier.
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    5. Jeffrey Apland & Robert N. Barnes & Fred Justus, 1984. "The Farm Lease: An Analysis of Owner-Tenant and Landlord Preferences under Risk," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 66(3), pages 376-384.
    6. Wilfred Candler & Wayne Cartwright, 1969. "Estimation of Performance Functions for Budgeting and Simulation Studies," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 51(1), pages 159-169.
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    9. Pederson, Glenn D., 1985. "Strategies for Managing Risk Under Long-Term Farmland Leases," AE Series 231496, North Dakota State University, Department of Agribusiness and Applied Economics.
    10. Brandao, Elizabeth Santos & McCarl, Bruce A. & Schuh, G. Edward, 1984. "Predicting The Impact Of New Cropping Practices Upon Subsistence Farming: A Farm Level Analysis In Brazil," Western Journal of Agricultural Economics, Western Agricultural Economics Association, vol. 9(2), pages 1-13, December.
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    1. Oriade, Caleb A. & Dillon, Carl R., 1997. "Developments in biophysical and bioeconomic simulation of agricultural systems: a review," Agricultural Economics, Blackwell, vol. 17(1), pages 45-58, October.
    2. Cole, John D. & Pattanaik, Nalini & Janssen, Larry, 2006. "Impacts of Land Ownership and Debt Levels on Farm Survival and Financial Growth," 2006 Annual meeting, July 23-26, Long Beach, CA 21477, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).

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