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The impact of optimized diet patterns at a macro-level: the case of Tunisia

Author

Listed:
  • Sophie Drogue

    (UMR MOISA - Marchés, Organisations, Institutions et Stratégies d'Acteurs - Cirad - Centre de Coopération Internationale en Recherche Agronomique pour le Développement - INRA - Institut National de la Recherche Agronomique - Montpellier SupAgro - Centre international d'études supérieures en sciences agronomiques - CIHEAM-IAMM - Centre International de Hautes Etudes Agronomiques Méditerranéennes - Institut Agronomique Méditerranéen de Montpellier - CIHEAM - Centre International de Hautes Études Agronomiques Méditerranéennes - Montpellier SupAgro - Institut national d’études supérieures agronomiques de Montpellier)

  • Romain Vignes

    (LEI. Landbouw-Economisch Institut - WUR - Wageningen University and Research [Wageningen])

  • Marie Josephe Amiot-Carlin

    (NORT - Nutrition, obésité et risque thrombotique - INRA - Institut National de la Recherche Agronomique - AMU - Aix Marseille Université - INSERM - Institut National de la Santé et de la Recherche Médicale)

Abstract

In the last 40 years Tunisia has experienced – as many other developing and emerging countries – a dietary transition, which led to an increase in the consumption of sugar, fats and animal products. This transition was accompanied by an increase in non-communicable diseases and particularly in cardio-vascular diseases. Using the framework developed by Srinivasan (2007) we optimized the Tunisian food intake using the French dietary recommendations (ANC) as constraints. We reproduced and enriched the work by including micronutrients in the analysis. Moreover we added a constraint on olive oil (a traditional culinary product in Tunisia), which consumption has also declined steadily over the period. Using this static model, we showed that the main needs in macro and micronutrients are already covered by the food supply in Tunisia. However, the energy intake equivalent to 3329 Kcal per capita and per day, represented an average excess of 1000 Kcal for an adult. The adherence to all the dietary nutritional recommendations would induce an imperative shift to a less consumption of sugar and cereal-based products. Moreover, optimizing sustainable diets induced the reduction of the imports of cereals, sugar, and plant oils other than olive oil that is recognized to protect against cardiovascular diseases.

Suggested Citation

  • Sophie Drogue & Romain Vignes & Marie Josephe Amiot-Carlin, 2016. "The impact of optimized diet patterns at a macro-level: the case of Tunisia," Post-Print hal-01581554, HAL.
  • Handle: RePEc:hal:journl:hal-01581554
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    References listed on IDEAS

    as
    1. anonymous, 2010. "Editorial Statement: Organizations Department," Management Science, INFORMS, vol. 56(2), pages 1-1, February.
    2. C. S. Srinivasan, 2007. "Food consumption impacts of adherence to dietary norms in the United States: a quantitative assessment," Agricultural Economics, International Association of Agricultural Economists, vol. 37(2‐3), pages 249-256, September.
    3. Unknown, 2010. "Organized Symposia SAEA 2010 Annual Meetings," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 42(3), pages 1-2, August.
    4. Dhehibi, B. & Gil, J. M., 2003. "Forecasting food demand in Tunisia under alternative pricing policies," Food Policy, Elsevier, vol. 28(2), pages 167-186, April.
    5. Anania, Giovanni & Pupo D'Andrea, Maria Rosaria, 2007. "The Global Market for Olive Oil: Actors, Trends, Prospects and Research Needs," 103rd Seminar, April 23-25, 2007, Barcelona, Spain 9446, European Association of Agricultural Economists.
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    More about this item

    Keywords

    dietary adjustment; food intake; food habits; public health; cardiovascular disease; tunisia; nutrient; olive oil; mathematical programming; food; huile d'olive; nutrition; nutriment; tunisie; maladie cardiovasculaire; programmation mathématique; santé publique; diététique; alimentation; comportement alimentaire;
    All these keywords.

    JEL classification:

    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health

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