Scheduling vegetable sales to supermarkets in Europe: The tomato case

Pérez-Mesa J.C., Pérez-Mesa F.J., Tapia-León J.J., Valera D.L. (2022): Scheduling vegetable sales to supermarkets in Europe: The tomato case. Agric. Econ. – Czech., 68: 403–412.

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This article analyzes the temporal programming of sales for a horticultural marketing company, e.g. a cooperative. The empirical study references the European tomato market, where most of the production is sold through the retail channel dominated by large distribution chains. We study the marketing schedule for an individual company, or even a prominent farmer, using a modified Markowitz model, assuming that his decisions do not affect the balance of market prices. As a result, this model can manage risk and improve decision-making. The data also provide information on the risk borne by marketers depending on their sales calendar, which often depends on their geographic location.

Akbari M., Alamdarlo H.N., Mosavi S.H. (2020): The effects of climate change and groundwater salinity on farmers' income risk. Ecological Indicators, 110: 105893.
Akbari M., Alamdarlo H.N., Mosavi S.H. (2022): Economic effects of changing the quality and quantity of water in drought conditions, case study: Qazvin, Iran. International Journal of Environmental Science and Technology, 19: 2951–2960.
Aljanabi A.A., Mays L.W., Fox P. (2018): Optimization model for agricultural reclaimed water allocation using mixed--integer nonlinear programming. Water, 10: 1291.
Bijman J., Hanisch M., van der Sangen G. (2014): Shifting control? The changes of internal governance in agricultural cooperatives in the EU. Annals of Public and Cooperative Economics, 85: 641–661.
Bijman J. (2016): Agricultural cooperatives and market orientation: A challenging combination? In: Martin H., Paul C., Adam L. (eds): Market Orientation. Transforming Food and Agribusiness around the Customer. London, United Kingdom, Routledge: 151–168.
Duong T.T., Brewer T., Luck J., Zander K. (2019): A global review of farmers' perceptions of agricultural risks and risk management strategies. Agriculture, 9: 10.
Duval Y., Featherstone A.M. (2002): Interactivity and soft computing in portfolio management: Should farmers own food and agribusiness stocks? American Journal of Agricultural Economics, 84: 120–133.
Eurostat (2021): Exportation Data. [Dataset]. Eurostat. Available at (accessed June 15, 2022).
FEPEX (2022): Tomato Prices in European Supermarkets (Precios de Tomate en Supermercados Europeos). [Dataset]. FEPEX (Spanish Federation of Associations of Producers and Exporters of Fruits, Vegetables, Flowers and Live Plants). Available at (accessed May 3, 2022). (in Spanish)
Gómez-Limón J.A., Riesgo L., Arriaza M. (2004): Multi--criteria analysis of input use in agriculture. Journal of Agricultural Economics, 55: 541–564.
Gómez-Limón J.A., Arriaza M., Riesgo L. (2003): An MCDM analysis of agricultural risk aversion. European Journal of Operational Research, 151: 569–585.
Hernández R., Eguchi T., Deveci M., Kubota C. (2016): Tomato seedling physiological responses under different percentages of blue and red photon flux ratios using LEDs and cool white fluorescent lamps. Scientia Horticulturae, 213: 270–280.
Hernández-Rubio J., Pérez-Mesa J.C., Piedra-Muñoz L., Galdeano-Gómez E. (2018): Determinants of food safety level in fruit and vegetable wholesalers' supply chain: Evidence from Spain and France. International Journal of Environmental Research and Public Health, 15: 2246.
Komarek A.M., De Pinto A., Smith V.H. (2020): A review of types of risks in agriculture: What we know and what we need to know. Agricultural Systems, 178: 102738.
Kubota C., de Gelder A., Peet M.M. (2018): Greenhouse tomato production. In: Heuvelink E. (ed.): Tomatoes. Wallingford, United Kingdom, CABI Publishing: 276–313.
Lambert D.K., McCarl B.A. (1985): Risk modelling using direct solution of non-linear approximations of the utility function. American Journal of Agricultural Economics, 67: 846–852.
Langemeier M.R., Fang X., O'Donnell M. (2020): Comparison of long-run net returns of conventional and organic crop rotations. Sustainability, 12: 7891.
Li M., Fu Q., Singh V.P., Liu D., Li T., Zhou Y. (2020): Managing agricultural water and land resources with tradeoff between economic, environmental, and social considerations: A multi-objective non-linear optimization model under uncertainty. Agricultural Systems, 178: 102685.
Markowitz H. (1952): Portfolio selection. Journal of Finance, 7: 77–91.
Pannell D.J., Nordblom T.C. (1998): Impact of risk aversion on whole-farm management in Syria. Australian Journal of Agricultural and Resources Economics, 42: 227–247.
Pérez-Mesa J.C., del Mar Serrano-Arcos M., Sánchez--Fernández R. (2019): Measuring the impact of crises in the horticultural sector: The case of Spain. British Food Journal, 121: 1050–1063.
Pérez-Mesa J.C., Galdeano-Gómez E. (2015): Collaborative firms managing perishable products in a complex supply network: An empirical analysis of performance. Supply Chain Management: An International Journal, 20: 128–138.
Romero C., Rehman T. (2003): Multiple Criteria Analysis for Agricultural Decisions. 2nd Ed. Amsterdam, the Netherlands, Elsevier: 186.
Sidhoum A.A., Serra T. (2016): Volatility spillovers in the Spanish food marketing chain: The case of tomato. Agribusiness: An International Journal, 32: 45–63.
Solano C., León H., Pérez E., Herrero M. (2001): Characterising objective profiles of Costa Rican dairy farmers. Agricultural Systems, 67: 153–179.
Solaymani R. (2018): Impacts of climate change on food security and agriculture sector in Malaysia. Environment Development and Sustainability, 20: 1576–1596.
Sulewski P., Kłoczko-Gajewska A. (2014): Farmers' risk perception, risk aversion and strategies to cope with production risk: An empirical study from Poland. Studies in Agricultural Economics, 116: 140–147.
Tauer L.W. (1983): Target MOTAD. American Journal of Agricultural Economics, 65: 606–610.
UK Trade Info (2021): Exportation of Commodities. UK Trade Info. Available at trade-data/ots-custom-table (accessed May 20, 2022).
Von Neumann J., Morgensten O. (1947): Theory of Games and Economic Behaviour. Princeton, US, University Press: 641.
Zhang B., Peng J., Li S. (2015): Uncertain programming models for portfolio selection with uncertain returns. International Journal of Systems Science, 46: 2510–2519.
Živkov D., Balaban S., Joksimović M. (2022): Making Markowitz portfolio with agricultural commodity futures. Agricultural Economics – Czech, 68: 219–229.
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