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        Chapter Effects of Water Scarcity on the Performances of the Agricultural Sector and Adaptation Strategies in Tunisia

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        Author(s)
        Chebil, Ali
        Jebari, Sihem
        Thabet, Chokri
        Frija, Aymen
        Makhlouf, Mariem
        Language
        English
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        Abstract
        The chapter aims to develop a regionally disaggregated agricultural supply model for Tunisia in order to investigate the potential effects of increasing water scarcity on the performances of the agricultural sector in the country, and the structural adaptation strategies needed to face such a challenge. A set of scenarios combining future water availability, water use efficiency, and increasing producer prices were simulated using the developed model. Results show that the agricultural sector in Tunisia, particularly the agricultural employment, would be negatively affected in case of decreasing irrigation water availability, and mostly affected regions would be the north east, central west, and southern areas. However, it is always possible to mitigate such effects through a combination of structural adjustments (changing land use in different regions), enhanced water use efficiency, and support of producer prices. The model also provides recommendations regarding specific crops that should be promoted in specific regions in order to maintain an agricultural sector with high added value in Tunisia.
        URI
        https://library.oapen.org/handle/20.500.12657/49295
        Keywords
        agricultural supply model, mathematical programming, regional level, water shortage, Tunisia
        DOI
        10.5772/intechopen.83568
        Publisher
        InTechOpen
        Publisher website
        https://www.intechopen.com/
        Publication date and place
        2019
        Classification
        Agricultural science
        Rights
        https://creativecommons.org/licenses/by/3.0/
        • Imported or submitted locally

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        License

        • If not noted otherwise all contents are available under Attribution 4.0 International (CC BY 4.0)

        Credits

        • logo EU
        • This project received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 683680, 810640, 871069 and 964352.

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