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

Published online by Cambridge University Press:  26 January 2015

Lawton Lanier Nalley
Affiliation:
Department of Agricultural Economics and Agribusiness, University of Arkansas, Fayetteville, AR
Andrew Barkley
Affiliation:
Department of Agricultural Economics, Kansas State University, Manhattan, KS
Brad Watkins
Affiliation:
University of Arkansas Rice Research and Extension Center, Stuttgart, AR
Jeffery Hignight
Affiliation:
University of Arkansas Rice Research and Extension Center, Stuttgart, AR

Abstract

This study applies portfolio theory to rice varietal selection decisions to find profit maximizing and risk minimizing outcomes. Results based on data from six counties in the Arkansas Delta for the period 1999-2006 suggest that sowing a portfolio of rice varieties could have increased profits from 3 to 26% (depending on the location) for rice producers in the Arkansas Delta. The major implication of this research is that data and statistical tools are available for rice producers to improve the choice of rice varieties to plant each year in specific locations. 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.

Type
Research Article
Copyright
Copyright © Southern Agricultural Economics Association 2009

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References

Annu, M., Thompson, M., Hansen, J., Wailes, E., and Cramer., G.Implications of Rice Biotechnology on Optimal Rice Crop Rotation in the Mississippi River Delta Region.Journal of Agricultural and Applied Economics 37(2001): 161–72.Google Scholar
Barkley, A., and Peterson., H.H. “Wheat Variety Selection: An Application of Portfolio Theory to Improve Returns.” Presented at the NCCC-134 Annual Conference on Applied Commodity Price Analysis, Forecasting, and Market Risk Management, St. Louis, Missouri, April 21–22, 2008.Google Scholar
Brennan, J.P.Measuring the Contribution of New Varieties to Increasing Wheat Yields.Review of Marketing and Agricultural Economics 52(1984): 175–95.Google Scholar
Dixon, J., Nalley, L., Kosina, P., Aquino, P., la Rovere, R., and Hellin., J.Adoption and Economic Impact of Improved Wheat Varieties in the Developing World.Journal of Agricultural Science. The Centennial Review 144(2007):489502.CrossRefGoogle Scholar
Doss, C.R., Mwangi, W., Verkuijl, H., and Groote, H. DeAdoption of Maize and Wheat Technologies in Eastern Africa: A Synthesis of the Findings of 22 Case Studies.” CIMMYT Economics Working Paper 03–06. Mexico, D.F.: Centro Internacional de Mejoramiento de Maiz y Trigo, 2003.Google Scholar
Figge, F.Bio-folio: Applying Portfolio Theory to Biodiversity.Biodiversity and Conservation 13(2004):822–49.CrossRefGoogle Scholar
Hazell, P.B.R., and Norton., R.D. Mathematical Programming for Economic Analysis in Agriculture. New York: MacMillan Publishing Company, 1986.Google Scholar
Heady, E. Economics of Agricultural Production and Resource Use. Englewood Cliffs, NJ: Prentice-Hall, 1952.Google Scholar
Heisey, P., and Mwangi., W.An Overview of Measuring Research Impacts Assessment.” Impacts on Farm Research. Proceedings of a Networkshop on Impacts on Farm Research in Eastern Africa. Heisey, P., and Waddington, S., eds. CIMMYT Eastern and Southern Africa on Farm Research Network Report No. 24 Harare, Zimbabwe, 1993, pp. 2836.Google Scholar
Just, R., and Pope., R.Production Function Estimation and Related Risk Considerations.American Journal of Agricultural Economics 61(1979):276–84.Google Scholar
Lintner, J.Security Prices, Risk, and Maximum Gains from Diversification.Journal of Finance 21(1965):587615.Google Scholar
Markowitz, H. Portfolio Selection: Efficient Diversification of Investments. New York: John Wiley and Sons, 1959.Google Scholar
Nyikal, R.A., and Kosura., W.O.Risk Preference and Optimal Enterprise Combinations in Kahuro Division of Murang'a District, Kenya.Agricultural Economics 32(2005):131—40.Google Scholar
Porter, L.L., and Barkley., A.P. “Selection of Wheat Varieties in Kansas: Does Quality Matter?” Kansas Agricultural Experiment Station Report of Progress Number 730, April 1995.Google Scholar
Redmond, C.H., and Cubbage., F.W.Portfolio Risk and Returns from Timber Asset Investments.Land Economics 64(1988):325–37.Google Scholar
Robison, L.J., and Brake., J.R.Application of Portfolio Theory to Farmer and Lender Behavior.American Journal of Agricultural Economics 61(1979): 158–64.Google Scholar
Sanchirico, J.N., Smith, M.D., and Lipton., D.W.Ecosystem Portfolios: A Finance-Based Approach to Ecosystem Management.” Paper presented at the AERE Workshop 2005: Natural Resources at Risk, Jackson, Wyoming, June 2005.Google Scholar
Sharpe, W. Portfolio Theory and Capital Markets. New York: McGraw-Hill, 1970.Google Scholar
Slaton, N. Rice Production Handbook. Little Rock, AR: The University of Arkansas Cooperative Extension Service, 2001.Google Scholar
Smale, M., Just, R.E., and Leathers., H.D.Land Allocation in HIV Adoption Models: An Investigation of Alternative Explanations.American Journal of Agricultural Economics 76(1994): 535-46.Google Scholar
Tobin, J.Liquidity Preference as Behavior towards Risk.The Review of Economic Studies 25(1958):6586.Google Scholar
United States Department of Agriculture (USDA). National Agricultural Statistics Service (NASS), Arkansas Field Office, 2008. Arkansas County Data-Crops. Internet site: http://www.nass.usda.gov/QuickStats/Create_County_Indv.jsp (Accessed June 7, 2008).Google Scholar
University of Arkansas Cooperative Extension Service (CES)Arkansas Rice Performance Trials (ARPT), ‘Rice Data.’” Various years, 19962007, Little Rock, AR. Internet site: http://arkansasagnews.uark.edu/408.htm.Google Scholar