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Optimal Land Allocation and Production Timing for FreshVegetable Growers under Price and Production Uncertainty

Published online by Cambridge University Press:  26 January 2015

Michael Vassalos
Affiliation:
School of Agricultural, Forest and Environmental Sciences, Clemson University, Clemson, South Carolina
Carl R. Dillon
Affiliation:
Department of Agricultural Economics, University of Kentucky, Lexington, Kentucky
Timothy Coolong
Affiliation:
Department of Horticulture, Tifton Campus, University of Georgia, Tifton, Georgia

Abstract

Production timing is an essential element in fresh vegetable growers'efforts to maximize profitability and reduce income risks. The present studyuses biophysical simulation modeling coupled with a dual crop (tomatoes,sweet corn) whole-farm economic formulation to analyze the effects ofgrowers' risk aversion levels and price consideration (seasonal or annualprice consideration) in expected net returns and production practices. Thefindings indicate that consideration of seasonal price trends results inhigher expected net returns and greater opportunities to mitigate risk.Furthermore, risk aversion levels substantially influence production timingwhen seasonal price trends are considered.

Type
Research Article
Copyright
Copyright © Southern Agricultural Economics Association 2013

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References

Archer, D.W., and Gesch., R.W.Value of Temperature-Activated Polymer-Coated Seed in the Northern Corn Belt.” Journal of Agricultural and Applied Economics 35,3(2003):625–37.S1074070800028339Google Scholar
Babcock, C.A., Chalfant, J.A., and Collender., R.N.Simultaneous Input Demands and Land Allocation in Agricultural Production under Uncertainty.” Journal of Agricultural and Resource Economics 12,2(1987):207-15.Google Scholar
Barham, E., Bise, H., Robinson, J.R.C., Richardson, J.W., and Rister., M.E.Mitigating Cotton Revenue Risk through Irrigation, Insurance, and Hedging.” Journal of Agricultural and Applied Economics 43,4(2011):529-40.S1074070800000055Google Scholar
Bigelow, J.P.Consistency of Mean-Variance Analysis and Expected Utility Analysis: A Complete Characterization.” Economics Letters 43(1993): 187-92.10.1016/0165-1765(93)90035-BGoogle Scholar
Centers for Disease Control and Prevention. “State Specific Trends in Fruit and Vegetable Consumption among Adults–United States 2000-2009.” Morbidity and Mortality Weekly Report 59,35(September 10, 2010): 1125-30.20829745Google Scholar
Chavas, J.P., and Holt., M.T.Acreage Decisions under Risk: The Case of Corn and Soybeans.” American Journal of Agricultural Economics 72,3(1990):529–38.10.2307/1243021Google Scholar
Cook, R.Fundamental Forces Affecting U.S. Fresh Produce Growers and Marketers.” Choices: The Magazine of Food, Farm and Resource Issues 26,4(2011): 4th quarter. Internet site: http://www.choicesmagazine.org/magazine/pdf/cmsarticle_202.pdf.Google Scholar
Coolong, T. Personal Communication. University of Kentucky, Department of Horticulture, September 2012.Google Scholar
Coolong, T., Bessin, R., Jones, T., Strang, J., and Seebold, K.. “2010-11 Vegetable Production Guide for Commercial Growers.” University of Kentucky, Lexington, KY, Extension Service Bulletins (ID-36), 2010.Google Scholar
Coolong, T., Pfeiffer, J., Sione, D., and Poston., A.L.Fresh Market Tomato Variety Performance in 2009.” Unpublished manuscript, University of Kentucky, 2009.Google Scholar
Deng, X., Barnett, B.J., Hoogenboom, G., Yu, Y., and Garcia., A.G.Alternative Crop Insurance Indexes.” Journal of Agricultural and Applied Economics 40,1(2008):223–37.S1074070800028078Google Scholar
Dillon, C.R.Microeconomic Effects of Reduced Yield Variability Cultivars of Soybeans and Wheat.” Southern Journal of Agricultural Economics 24,1(1992): 121-32.Google Scholar
Dillon, C.R.Production Practice Alternatives for Income and Suitable Field Day Risk Management.” Journal of Agricultural and Applied Economics 31,2(1999):247–61.S1074070800008531Google Scholar
Dillon, C.R., Mjelde, J.W., and McCarl, B .A.. “Biophysical Simulation Models: Recommendations for Users and Developers.” Computers and Electronics in Agriculture 6,3(1991):213–24.10.1016/0168-1699(91)90003-RGoogle Scholar
Freund, R.J.The Introduction of Risk into a Programming Model.” Econometrica 24,3(1956): 253-63.10.2307/1911630Google Scholar
GAMS. Solver Descriptions. Internet site: www.gams.com/solvers/solvers.htm (Accessed March 2013).Google Scholar
Hoogenboom, G., Jones, J.W., Wilkens, P.W., Porter, C.H., Batchelor, W.D., Hunt, L.A., Boote, K.J., Singh, U., Urgasev, O., Bowen, W.T., Gijsman, A.J., Toit, A. du, White, J.W., and Tsuji., G.Y. Decision Support System for Agrotechnology Transfer (DSSAT V4), ICASA. IFDC, 2004. University of Hawaii, Honolulu, HI.Google Scholar
Hossain, M.M., Khalequzzaman, K.M., Hossain, M.A., Mollah, M.R.A., and Sique., M.A.Influence of Planting Time on Extension of Picking Period of Four Tomato Varieties.” The Journal of Biological Sciences 4,5(2004): 616-19.10.3923/jbs.2004.616.619Google Scholar
Hueth, B., and Ligon, E.. “Producer Price Risk and Quality Measurement.” American Journal of Agricultural Economics 81,3(1999):512-24.10.2307/1244011Google Scholar
Huevelink, E.Evaluation of a Dynamic Simulation Model for Tomato Crop Growth and Development.” Annals of Botany 83(1999):413–22.10.1006/anbo.1998.0832Google Scholar
Ibendahl, G.A., and Halich., G.How to Estimate Custom Machinery Rates.” Journal of the ASFMRA 2010 Collection 30(2010):810.Google Scholar
Jame, Y.W., and Cutforth., H.W.Crop Growth Models for Decision Support Systems.” Canadian Journal of Plant Science 76,1(1996): 919.10.4141/cjps96-003Google Scholar
Jones, T., and Sears, A. Ferguson. “Synergistic Sweet Corn Evaluations in Eastern Kentucky.” Unpublished manuscript, Department of Horticulture, University of Kentucky, 2005.Google Scholar
Jones, J.W., Hoogenboom, G., Porter, C.H., Boote, K.J., Batchelor, W.D., Hunt, L.A., Wilkens, P.W., Singh, U., Gijsman, A.J., and Ritchie., J.T.DSSAT Cropping System Model.” European Journal of Agronomy 18(2003):235–65.10.1016/S1161-0301(02)00107-7Google Scholar
Kaufmann, R.K., and Snell., S.E.A Biophysical Model of Corn Yield: Integrating Climatic and Social Determinants.” American Journal of Agricultural Economics 79,1(1997): 178-90.10.2307/1243952Google Scholar
Laughlin, D.H., and Spurlock., S.R. Mississippi State Budget Generator v6.0. Mississippi State, MS: Department of Agricultural Economics, Mississippi State University, 2007.Google Scholar
Liang, Y., Miller, J.C., Harri, A., and Coble., K.H.Crop Supply Response under Risk: Impacts of Emerging Issues on Southeastern U.S. Agriculture.” Journal of Agricultural and Applied Economics 43,2(2011): 181-94.S1074070800004156Google Scholar
Lowe, T.J., and Preckel., P.V.Decision Technologies for Agribusiness Problems: A Brief Review of Selected Literature and a Call for Research.” Manufacturing and Service Operations Management 6,3(2004):201-08.10.1287/msom.1040.0051Google Scholar
Mapp, H.P., Hardin, M.L. Jr., Walker, D.L., and Persaud., T.Analysis of Risk Management for Agricultural Producers.” American Journal of Agricultural Economics 61,5(1979): 1071–77.10.2307/3180377Google Scholar
Markowitz, H.Portfolio Selection.” The Journal of Finance 7,1(1952):7791.Google Scholar
McCarl, B.A., and Bessler., D.Estimating an Upper Bound on the Pratt Risk Aversion Coefficient When the Utility Function is Unknown.” Australian Journal of Agricultural Economics 33,1(1989):5663.10.1111/j.1467-8489.1989.tb00481.xGoogle Scholar
Musser, W.N., and Tew., B.V.Uses of Biophysical Simulation in Production Economics.” Southern Journal of Agricultural Economics 16(1984):7786.Google Scholar
Nivens, H.D., Kastens, T.L., and Dhuyvetter, K.C.. “Payoffs of Farm Management: How Important Is Crop Marketing?Journal of Agricultural and Applied Economics 34,1(2002): 193204.Google Scholar
Ravn, M.O., and Uhlig., H.Notes on Adjusting the Hodrick-Prescott Filter for the Frequency of Observations.” The Review of Economics and Statistics 84,2(2002):371–80.10.1162/003465302317411604Google Scholar
Rowell, B., Pfeiffer, J., Jones, T., Bale, K., and Snyder., J.C.Yield, Income and Quality of Staked Tomato Cultivars in Central Kentucky”. Unpublished manuscript, Department of Horticulture, University of Kentucky, 2006.Google Scholar
Rowell, B., Satanek, A., Bale, K., and Snyder., J.C.Yield, Income and Quality of Staked Tomato Cultivare in Central Kentucky.” Unpublished manuscript, Department of Horticulture, University of Kentucky, 2005.Google Scholar
Rowell, B., Satanek, A., and Snyder., J.C.Yield, Income, Quality and Blotchy Ripening Susceptibility of Staked Tomato Cultivare in Central Kentucky.” Unpublished manuscript, Department of Horticulture, University of Kentucky, 2004.Google Scholar
Schweers, V.H., and Grimes., D.W.Drip and Furrow Irrigation of Fresh Market Tomatoes on a Slowly Preamble Soil: Part 1 Production.” California Agriculture 30(1976):810.Google Scholar
Sexton, R.J., and Zhang., M.A Model of Price Determination for Fresh Produce with Application to California Iceberg Lettuce.” American Journal of Agricultural Economics 78,4(1996): 924-34.10.2307/1243849Google Scholar
Shockley, J.M.Whole Farm Modeling of Precision Agricultural Technologies.” Unpublished PhD dissertation. Kentucky: University of Kentucky, Lexington, KY, 2010.Google Scholar
Shockley, J.M., Dillon, C.R., and Stombaigh., T.S.A Whole Farm Analysis of the Influence of Auto-Steer Navigation on Net Returns, Risk and Production Practices.” Journal of Agricultural and Applied Economics 43,1(2011):5775.Google Scholar
Simmons, R.L., and Pomareda., C.Equilibrium Quantity and Timing of Vegetable Exports.” American Journal of Agricultural Economics 57,3(1975):472–79.10.2307/1238410Google Scholar
Tannura, M.A., Irwin, S.H., and Good., D.L.Weather, Technology and Com and Soybean Yields in the U.S. Com Belt.” Marketing and Outlook Research Report 2008-01. Illinois: Department of Agricultural and Consumer Economics, University of Illinois at Urbana Champaign, IL, 2008. Internet site: http://www.farmdoc.uiuc.edu/marketing/morr/morr_08-01/morr_08-01.pdf.Google Scholar
University of Kentucky. College of Agriculture– UKAg Weather Center. Internet site: www.agwx.ca.uky.edu (Accessed June 2011).Google Scholar
U.S. Department of Agriculture. Fruit and Vegetable Market News User Guide. Agricultural Marketing Service, Fruit and Vegetable Programs. Washington, DC, USDA, April 2012.Google Scholar
U.S. Department of Agriculture—Economic Research Service. Internet site: www.ers.usda.gov/data-products/vegetables-and-pulses-data/outlook-tables.aspx (Accessed August 2011).Google Scholar
U.S. Department of Agriculture, National Agricultural Statistics Service. 2007 Census of Agriculture. Washington, DC, USDA, NASS, 2010.Google Scholar
U.S. Department of Agriculture-Natural Resources Conservation Service. Web Soil Survey. Internet site: http://websoilsurvey.nrcs.usda.gov/app/HomePage.htm (Accessed August 2011).Google Scholar
Vassalos, M.Essays on Fresh Vegetable Production and Marketing Practices.” PhD dissertation, University of Kentucky, Lexington, KY, April 2013.Google Scholar
Walker, G.K.Model for Operational Forecasting of Western Canada Wheat Yield.” Agricultural and Forest Meteorology 44(1989): 339-51.10.1016/0168-1923(89)90027-0Google Scholar
Wang, X., Dorfan, J.H., McKissick, J., and Turner., S.C.Optimal Marketing Decisions for Feeder Cattle under Price and Production Risk.” Journal of Agricultural and Applied Economics 33,3(2001):431–43.Google Scholar
Williams, M.M.Sweet Corn Growth and Yield Responses to Planting Dates of the North Central United States.” HortScience 43,6(2008): 1775-79.Google Scholar
Williams, M.M., and Lindquist., J.L.Influence of Planting Date and Weed Interference on Sweet Corn Growth and Development.” Agronomy Journal 99(2007): 1066-72.10.2134/agronj2007.0009Google Scholar
Woods, T.2010 Kentucky Produce Planting and Marketing Intentions Grower Survey and OutlookAEC Extension Publication 2010-05. University of Kentucky Cooperative Extension Service, 2010.Google Scholar
Woods, T. Crop Diversification & Biofuel Research & Education, University of Kentucky. Internet site: www.uky.edu/Ag/NewCrops/budgets.html (Accessed March 2012).Google Scholar