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Analytical Study of The Impact of Virtual Water on the Egyptian Agricultural Balance of Trade
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Abstract: _______________________________________________________________________________________________
• Ph. D. in Agricultural Science (Agricultural Economics): Department of Agricultural Economics, Faculty of Agriculture, El Fayom University, 2020.
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Water scarcity is the main determinant of agricultural production in the Arab world in general and Egypt in particular now and in the future. Water needs have increased dramatically, with the fixed quantity of the main water resource in Egypt at 55.5 billion m3, represented by the Nile River, where the amount of water needs amounted to about 76.25 billion m3, with a deficit of about 20.75 billion m3. The problem of the study shows the increasing gap between the water supply and demand with the increase of population and the increase of water requirements, which leads to a reduction in per capita fresh water to about 846.38 m3 per capita, which is less than the level of water poverty estimated at 1000 m3 per capita. Which has led to the need to study the best ways to manage and use water more efficiently.
The study aimed to analyze the impact of virtual water on the Egyptian agricultural trade balance, through several sub-objectives.
The study included four main chapters, in addition to the introduction that includes a problem and objectives of the study, data sources and research method, beside to Arabic-language and English-language summary, Arabic and foreign references, abstract, recommendations, and appendices.
The crops of the agricultural trade balance were divided into three categories according to their content of virtual water, which are high content crops, which contain more than 2000 m3/ton, and medium content crops, whose content ranges between 1000-2000 m3/ton, Crops of low content, which are less than 1000 m3/ton.
Some indicators were used, such as: Gini-Hirschman Coefficient, and Water Intensity Indicator. The Path Analysis Model and Asymmetry and causality tests were used using by NonLinear Autoregressive Distributed Lag (NARDL) method, to measure the effect of the most important factors on both the amount of exports and imports, and the amount of virtual water exported and imported. Linear programming and goal programming were used to achieve optimum scenarios for both export structure, imports and trade balance, with a higher water use and better economic return.
The study concluded with some suggested recommendations, then a summary of the most important results, and the references that used to serve the purpose of the study.
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| Publication year |
2020
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| Availability location |
مكتبة معهد بحوث الاقتصاد الزراعي-7 ش نادى الصيد - مبنى الهيئات والشركات - الدقي- الجيزة (الدور الرابع)
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| Availability number |
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| Organization Name |
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| Country |
Egypt
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| Publisher |
Name:
قسم الاقتصاد الزراعي - كلية الزراعة - جامعة الفيوم
Place:
الفيوم - مصر
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| Author(s) from ARC |
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| Publication Type |
PhD Thesis
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