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Management System for Harvest Scheduling: The Case of Horticultural Production in Southeast Spain

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  • Perez-Mesa, Juan Carlos
  • Galdeano-Gomez, Emilio
  • Aznar-Sanchez, Jose A.

Abstract

This article analyzes the programming of farm production, understood not only as the choice among several crops, but also as their temporal distribution. The empirical study takes as a reference the horticultural sector in southeast Spain, since this area constitutes the highest concentration of small-scale farm production in Europe, where the climatic conditions allow the possibility of several harvests in year-round production, as well as several alternative crops. Firstly, we study the production programming for an individual farmer, under the assumption that their decisions do not affect the balance of market prices. In this case a modified Markowitz model is used for the scheduling of crop marketing. Secondly, we study the sales arrangements for a farming-marketing cooperative, under the assumption that their sales volume is such that the entity is capable of altering the market balance. A model of monthly revenues and margins is proposed, and the results show a clear improvement in both margins and revenues if the harvest is programmed in this way.

Suggested Citation

  • Perez-Mesa, Juan Carlos & Galdeano-Gomez, Emilio & Aznar-Sanchez, Jose A., 2011. "Management System for Harvest Scheduling: The Case of Horticultural Production in Southeast Spain," International Food and Agribusiness Management Review, International Food and Agribusiness Management Association, vol. 14(4), pages 1-20, November.
  • Handle: RePEc:ags:ifaamr:117598
    DOI: 10.22004/ag.econ.117598
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    References listed on IDEAS

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    1. José A. Gómez‐Limón & Laura Riesgo & Manuel Arriaza, 2004. "Multi‐Criteria Analysis of Input Use in Agriculture," Journal of Agricultural Economics, Wiley Blackwell, vol. 55(3), pages 541-564, November.
    2. Emilio Galdeano-Gómez, 2007. "Composite price expectations: An empirical analysis for the Spanish horticultural sector," Agribusiness, John Wiley & Sons, Ltd., vol. 23(1), pages 57-83.
    3. Yann Duval & Allen M. Featherstone, 2002. "Interactivity and Soft Computing in Portfolio Management: Should Farmers Own Food and Agribusiness Stocks?," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 84(1), pages 120-133.
    4. Berbel, Julio, 1989. "Analysis of Protected Cropping: An Application of Multiobjective Programming Techniques to Spanish Horticulture," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 16(2), pages 203-216.
    5. Meyer, Jack & Rasche, Robert H, 1992. "Sufficient Conditions for Expected Utility to Imply Mean-Standard Deviation Rankings: Empirical Evidence Concerning the Location and Scale Condition," Economic Journal, Royal Economic Society, vol. 102(410), pages 91-106, January.
    6. Pannell, David J. & Nordblom, Thomas L., 1998. "Impacts of risk aversion on whole-farm management in Syria," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 42(3), pages 1-21.
    7. J. Brian Hardaker & Louise H. Patten & David J. Pannell, 1988. "Utility‐Efficient Programming For Whole‐Farm Planning," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 32(2-3), pages 88-97, 08-12.
    8. Solano, C. & Leon, H. & Perez, E. & Herrero, M., 2001. "Characterising objective profiles of Costa Rican dairy farmers," Agricultural Systems, Elsevier, vol. 67(3), pages 153-179, March.
    9. David K. Lambert & Bruce A. McCarl, 1985. "Risk Modeling Using Direct Solution of Nonlinear Approximations of the Utility Function," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 67(4), pages 846-852.
    10. Costa, F. P. & Rehman, T., 1999. "Exploring the link between farmers' objectives and the phenomenon of pasture degradation in the beef production systems of Central Brazil," Agricultural Systems, Elsevier, vol. 61(2), pages 135-146, August.
    11. Kroll, Yoram & Levy, Haim & Markowitz, Harry M, 1984. "Mean-Variance versus Direct Utility Maximization," Journal of Finance, American Finance Association, vol. 39(1), pages 47-61, March.
    12. Pérez Mesa, Juan Carlos, 2009. "Should Almería (Spain) have to be worried, thinking that their tomato export is currently affected by international competition?," Agricultural Economics Review, Greek Association of Agricultural Economists, vol. 8(2).
    13. Ahumada, Omar & Villalobos, J. Rene, 2009. "Application of planning models in the agri-food supply chain: A review," European Journal of Operational Research, Elsevier, vol. 196(1), pages 1-20, July.
    14. Gomez-Limon, Jose A. & Arriaza, Manuel & Riesgo, Laura, 2003. "An MCDM analysis of agricultural risk aversion," European Journal of Operational Research, Elsevier, vol. 151(3), pages 569-585, December.
    15. Hardaker, J. Brian & Pandey, Sushil & Patten, Louise H., 1991. "Farm Planning under Uncertainty: A Review of Alternative Programming Models," Review of Marketing and Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 59(01), pages 1-14, April.
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