IDEAS home Printed from https://ideas.repec.org/a/ags/ifaamr/117598.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/117598/files/20100082_Formatted.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.117598?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. 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.
    3. 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.
    4. 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).
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    10. 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.
    11. 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.
    12. 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.
    13. 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.
    14. 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.
    15. 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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Pérez-Mesa, Juan Carlos & Pérez-Mesa, Fº Javier & Tapia-León, Juan José & Valera-Martínez, Diego, 2022. "Scheduling vegetable sales to supermarkets in Europe: The tomato case," MPRA Paper 119883, University Library of Munich, Germany.
    2. Juan Carlos Pérez-Mesa & Francisco Javier Pérez-Mesa & Juan José Tapia-León & Diego Luis Valera, 2022. "Scheduling vegetable sales to supermarkets in Europe: The tomato case," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 68(11), pages 403-412.
    3. Pannell, David J. & Malcolm, Bill & Kingwell, Ross S., 2000. "Are we risking too much? Perspectives on risk in farm modelling," Agricultural Economics, Blackwell, vol. 23(1), pages 69-78, June.
    4. Riesgo, Laura & Gómez-Limón, José A., 2005. "Multi-Criteria Policy Scenarios Analysis for Public Management of Irrigated Agriculture," 89th Seminar, February 2-5, 2005, Parma, Italy 239276, European Association of Agricultural Economists.
    5. Torkamani, Javad, 2005. "Using a whole-farm modelling approach to assess prospective technologies under uncertainty," Agricultural Systems, Elsevier, vol. 85(2), pages 138-154, August.
    6. Kingwell, Ross, 1996. "Programming models of farm supply response: The impact of specification errors," Agricultural Systems, Elsevier, vol. 50(3), pages 307-324.
    7. Lien, Gudbrand & Hardaker, J. Brian & Asseldonk, Marcel A.P.M. van & Richardson, James W., 2009. "Risk programming and sparse data: how to get more reliable results," Agricultural Systems, Elsevier, vol. 101(1-2), pages 42-48, June.
    8. Stelios Rozakis & Alexandra Sintori & Konstantinos Tsiboukas, 2009. "Utility-derived Supply Function of Sheep Milk: The Case of Etoloakarnania, Greece," Working Papers 2009-11, Agricultural University of Athens, Department Of Agricultural Economics.
    9. Graham R. Marshall & Kevin A. Parton & G.L. Hammer, 1996. "Risk Attitude, Planting Conditions And The Value Of Seasonal Forecasts To A Dryland Wheat Grower," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 40(3), pages 211-233, December.
    10. 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.
    11. Gudbrand Lien & J. Hardaker & Marcel Asseldonk & James Richardson, 2011. "Risk programming analysis with imperfect information," Annals of Operations Research, Springer, vol. 190(1), pages 311-323, October.
    12. Apland, Jeffrey & Hauer, Grant, 1993. "Discrete Stochastic Programming: Concepts, Examples And A Review Of Empirical Applications," Staff Papers 13793, University of Minnesota, Department of Applied Economics.
    13. Flaten, O. & Lien, G., 2007. "Stochastic utility-efficient programming of organic dairy farms," European Journal of Operational Research, Elsevier, vol. 181(3), pages 1574-1583, September.
    14. Gomez-Limon, Jose Antonio & Berbel, Julio & Arriaza Balmón, Manuel, 2005. "MCDM Farm System Analysis for Public Management of Irrigated Agriculture," 2005 International Congress, August 23-27, 2005, Copenhagen, Denmark 24676, European Association of Agricultural Economists.
    15. Musshoff, Oliver & Hirschauer, Norbert, 2008. "Sophisticated Program Planning Approaches Generate Large Benefits in High Risk Crop Farming," 82nd Annual Conference, March 31 - April 2, 2008, Royal Agricultural College, Cirencester, UK 36865, Agricultural Economics Society.
    16. Francisco J. André & Inés Herrero & Laura Riesgo, 2004. "Using DEA to estimate the importance of objectives for decision makers," Economic Working Papers at Centro de Estudios Andaluces E2004/50, Centro de Estudios Andaluces.
    17. G. R. Soltani & M. Bakhshoodeh & M. Zibaei, 2009. "Optimization of Agricultural Water Use and Trade Patterns: The Case of Iran," Working Papers 508, Economic Research Forum, revised Dec 2009.
    18. Flaten, Ola & Lien, Gudbrand D., 2005. "Stochastic Utility-Efficient Programming of Organic Dairy Farms," 2005 International Congress, August 23-27, 2005, Copenhagen, Denmark 24743, European Association of Agricultural Economists.
    19. Heidelbach, Olaf, 2007. "Efficiency of selected risk management instruments: An empirical analysis of risk reduction in Kazakhstani crop production," Studies on the Agricultural and Food Sector in Transition Economies, Leibniz Institute of Agricultural Development in Transition Economies (IAMO), volume 40, number 92323.
    20. Torkamani, Javad & Hardaker, J. Brian, 1996. "A study of economic efficiency of Iranian farmers in Ramjerd district: an application of stochastic programming," Agricultural Economics, Blackwell, vol. 14(2), pages 73-83, July.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ags:ifaamr:117598. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/ifamaea.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.