An Economic Study of The Effect of Some Economic Variables on The Foreign Trade of Egyptian Dates Using The Gravity Model | ||||
Assiut Journal of Agricultural Sciences | ||||
Article 21, Volume 54, Issue 1, January 2023, Page 298-322 PDF (5.14 MB) | ||||
Document Type: Original Article | ||||
DOI: 10.21608/ajas.2023.182703.1214 | ||||
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Authors | ||||
Ibrahim Ali Mohamed Abdel-Fattah ; Eman Fakhry Yousif Ahmed | ||||
Department of Agricultural Economics, Ain Shams University, Egypt . | ||||
Abstract | ||||
Dates are among the most beneficial fruits for human health. Dates are among the most important and oldest fruits associated with the Middle East and Islamic history. The problem of research is that Egypt occupies the first place in the production of ballets at a global level with an average production of about 2663.41 thousand tons during the period (2016-2020) at an estimated 18.06%, Egypt is ranked eighth in terms of the quantity of world exports, with Egyptian exports at a global level of about 30.11 thousand tons during the period (2017-2021) at 2.02%. This indicates that there is an export gap between production and export. This points to the importance of studying the attraction of the global markets of Egyptian bark and increasing external demand for it. The research found that the most significant variables affecting the attractiveness model of Egyptian mussels are: Egyptian GDP, GDP of importing countries (Andonsia, Morocco, Malaysia, Bangladesh, Thailand, Jordan, Vietnam), Language, religion where both Egyptian local output and countries importing Egyptian pools, language and religion had an expulsive effect while the distance between Egypt and the importing countries had a negative impact The average area under cultivation of Egyptian mussels, average number of productive females, average productivity, average output and average quantity and value of Egyptian mussels exports were all forecast during the period (2024-2028). Approximately 148.18 thousand acres, 15816.36 thousand palms, 117.94 kg/palm, 1978.40 thousand tons, 13.67 thousand tons, and $ 68.30 million respectively. | ||||
Keywords | ||||
Economic; Variables . theGravity; Model | ||||
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