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Optimalidad del patrón estacional de las exportaciones canarias de tomate

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  • CÁCERES HERNÁNDEZ, J.J.

    () (Departamento de Economía de las Instituciones, Estadística Económica y Econometría. Facultad de Ciencias Económicas y Empresariales. Universidad de La Laguna.)

Abstract

En un contexto de fuerte tradición competitiva, los productores tomateros canarios han protagonizado un importante esfuerzo innovador que ha contribuido a la mejora de la calidad de la fruta y ha amortiguado el crecimiento de los costes de cultivo a través del incremento de rendimientos. Sin embargo, no se ha resuelto el problema de los desajustes estacionales oferta-demanda con el consiguiente efecto en los precios. Pues bien, este trabajo tiene por objeto presentar una primera aproximación a la determinación de un patrón de distribución estacional de la exportación tomatera canaria que maximice los beneficios de sus productores. Para ello se efectúa en primer lugar un estudio econométrico de la estacionalidad de precios y exportaciones, utilizando un contraste de raíces unitarias estacionales en datos semanales. Este análisis es el paso previo a la medición del impacto del volumen de tomate fresco exportado a Europa sobre las cotizaciones alcanzadas por el fruto en los mercados de destino. La medición de dicho efecto constituye, a su vez, el soporte sobre el que se asienta la determinación del patrón óptimo. In an environment of strongly competitive tradition, Canarian tomato producers have carried out an important innovative effort that has contributed to the improvement of fruit quality whilst offsetting the growth of cultivation costs by means of yield increase. However, the problem of seasonal supply-demand disequilibrium, with its consequent effect on prices, has not yet been solved.Well then, the goal of this paper is to obtain a first approximation to determine the seasonal distribution pattern of Canarian tomato exports that maximises the producers’ profits. In order to do this, the first step is an econometric study of price and export’s seasonality, using unit root tests on weekly data. This analysis is a necessary step in measuring the impact of the volume of fresh Canarian tomatoes exported to Europe on the prices reached by this product in the destination markets. The determination of an optimal pattern is based on this measurement.

Suggested Citation

  • Cáceres Hernández, J.J., 2001. "Optimalidad del patrón estacional de las exportaciones canarias de tomate," Estudios de Economía Aplicada, Estudios de Economía Aplicada, vol. 18, pages 41-66, Agosto.
  • Handle: RePEc:lrk:eeaart:18_2_11
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    References listed on IDEAS

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    1. Stock, James H & Watson, Mark W, 1988. "Variable Trends in Economic Time Series," Journal of Economic Perspectives, American Economic Association, vol. 2(3), pages 147-174, Summer.
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    5. Perron, Pierre & Vogelsang, Timothy J, 1992. "Testing for a Unit Root in a Time Series with a Changing Mean: Corrections and Extensions," Journal of Business & Economic Statistics, American Statistical Association, vol. 10(4), pages 467-470, October.
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    Cited by:

    1. Rodriguez, Gloria Martin & Hernandez, Jose Juan Caceres, 2005. "Evolving Seasonal Pattern of Tenerife Tomato Exports," 2005 International Congress, August 23-27, 2005, Copenhagen, Denmark 24501, European Association of Agricultural Economists.
    2. Caceres-Hernandez, Jose Juan & Martin-Rodriguez, Gloria & González Gómez, José Ignacio & Nuez Yánez, Juan Sebastian, 2013. "Canary banana exports. Are product withdrawal decisions rational?," Economia Agraria y Recursos Naturales, Spanish Association of Agricultural Economists, vol. 13(2).

    More about this item

    Keywords

    tomatoes; exports; prices; seasonality; Canary Islands;

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • Q11 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Aggregate Supply and Demand Analysis; Prices

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