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Enhancing Farm Profitability through Portfolio Analysis: The Case of Spatial Rice Variety Selection


  • Nalley, Lawton Lanier
  • Barkley, Andrew
  • Watkins, Brad
  • Hignight, Jeffery


The objectives of this paper is to use the large depth of existing literature on portfolio theory and apply it to rice varietal selection for 6 counties in the Arkansas Delta. Results based on 1999-2006 data suggests that combining available varieties using portfolio theory could have increased profits from 3 to 26% (dependent on location) in the Arkansas Delta. The major implication of this research is that data and statistical tools are available to improve the choice of rice varieties to plant each year in specific locations within Arkansas. Specifically, there are large potential gains from combining varieties that are characterized by inverse yield responses to growing conditions such as drought, pest infestation, or the presence of a specific disease.
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Suggested Citation

  • Nalley, Lawton Lanier & Barkley, Andrew & Watkins, Brad & Hignight, Jeffery, 2009. "Enhancing Farm Profitability through Portfolio Analysis: The Case of Spatial Rice Variety Selection," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 41(03), pages 641-652, December.
  • Handle: RePEc:cup:jagaec:v:41:y:2009:i:03:p:641-652_00

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    References listed on IDEAS

    1. Andrew P. Barkley & Lori L. Porter, 1996. "The Determinants of Wheat Variety Selection in Kansas, 1974 to 1993," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 78(1), pages 202-211.
    2. Barkley, Andrew P. & Peterson, Hikaru Hanawa, 2008. "Wheat Variety Selection: An Application of Portfolio Theory to Improve Returns," 2008 Conference, April 21-22, 2008, St. Louis, Missouri 37597, NCCC-134 Conference on Applied Commodity Price Analysis, Forecasting, and Market Risk Management.
    3. Annou, Mamane Malam & Thomsen, Michael R. & Hansen, James M. & Wailes, Eric J. & Cramer, Gail L., 2001. "Implications Of Rice Biotechnology On Optimal Rice Crop Rotation In The Mississippi River Delta Region," Staff Papers 15774, University of Arkansas, Department of Agricultural Economics and Agribusiness.
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    Cited by:

    1. Watkins, K. Bradley & Henry, Christopher G. & Mazzanti, Ralph & Schmidt, Lance & Hardke, Jarrod T., 2014. "Non-Radial Technical Efficiency of Water and Nitrogen Usage in Arkansas Rice Production," 2014 Annual Meeting, February 1-4, 2014, Dallas, Texas 162593, Southern Agricultural Economics Association.
    2. Mortenson, Ryan & Parsons, Jay & Pendell, Dustin L. & Haley, Scott D., 2012. "Wheat Variety Selection: An Application of Portfolio Theory in Colorado," Western Economics Forum, Western Agricultural Economics Association, vol. 11(2), pages 1-12.
    3. Watkins, K. Bradley & Hristovska, Tatjana & Mazzanti, Ralph & Wilson, Charles E., Jr., "undated". "Measuring Technical, Allocative, and Economic Efficiency of Rice Production in Arkansas using Data Envelopment Analysis," 2013 Annual Meeting, February 2-5, 2013, Orlando, Florida 142962, Southern Agricultural Economics Association.
    4. Codjo, O.S. & Fiamohe, R. & Kpenavoun, S. & Acclassato, D. & Biaou, G., 2018. "Application of Portfolio and Stochastic Simulation Analysis for a Decision of Governance Structures Choice of Benin s Rice Producers," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 277145, International Association of Agricultural Economists.
    5. Steven C. Blank & Danny Klinefelter, 2012. "Keeping ARMS relevant: increasing its usability," Agricultural Finance Review, Emerald Group Publishing, vol. 72(2), pages 222-232, July.
    6. Bodin, P. & Olin, S. & Pugh, T.A.M. & Arneth, A., 2016. "Accounting for interannual variability in agricultural intensification: The potential of crop selection in Sub-Saharan Africa," Agricultural Systems, Elsevier, vol. 148(C), pages 159-168.
    7. Diersen, Matthew & Gurung, Pratik & Fausti, Scott, 2015. "Optimal Allocation of Index Insurance Intervals for Commodities," 2015 Annual Meeting, January 31-February 3, 2015, Atlanta, Georgia 196793, Southern Agricultural Economics Association.

    More about this item

    JEL classification:

    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
    • Q16 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - R&D; Agricultural Technology; Biofuels; Agricultural Extension Services
    • Q12 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Micro Analysis of Farm Firms, Farm Households, and Farm Input Markets


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