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

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Author Info

  • 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.

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Bibliographic Info

Article provided by Southern Agricultural Economics Association in its journal Southern Journal of Agricultural Economics.

Volume (Year): 18 (1986)
Issue (Month): 02 (December)
Pages:

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Handle: RePEc:ags:sojoae:29779

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Web page: http://www.saea.org/jaae/jaae.htm
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Keywords: Crop Production/Industries;

References

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  1. Anderson, Jock R. & Feder, Gershon, 2007. "Agricultural Extension," Handbook of Agricultural Economics, Elsevier.
  2. Brandao, Elizabeth & 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(02), December.
  3. 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(01), July.
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Cited by:
  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. Oriade, Caleb A. & Dillon, Carl R., 1997. "Developments in biophysical and bioeconomic simulation of agricultural systems: a review," Agricultural Economics: The Journal of the International Association of Agricultural Economists, International Association of Agricultural Economists, vol. 17(1), October.
  3. 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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