Simultaneous Econometric Model for determine the most important Determinants of Integration between Egypt and Sudan in the Production and Consumption of Red Meat | ||||
Alexandria Science Exchange Journal | ||||
Article 14, Volume 46, Issue 2, June 2025, Page 405-413 PDF (327.81 K) | ||||
Document Type: Original Article | ||||
DOI: 10.21608/asejaiqjsae.2025.434579 | ||||
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Authors | ||||
Rabab Gomaa Galal Abdallatif* 1; Abdallah Mahmoud Abdelmaqsoud* 2; Hussein El -Sayed Sarhan* 2 | ||||
1PhD student of Agricultural Economics, Department of Agricultural Economics, Faculty of Agriculture, Ain Shams University | ||||
2Prof. of Agricultural Economics, Department of Agricultural Economics, Faculty of Agriculture, Ain Shams University | ||||
Abstract | ||||
Sudan is the largest Arab and African country in livestock wealth, and it possesses the greatest potential to develop this wealth to broad horizons, making it one of the most important resources of all time. The livestock sector in Sudan has contributed to supporting the Sudanese economy by providing hard currency and increasing exports, with this sector contributing 15%-22% of the total gross domestic product in 2023. The red meat sector is one of the most important agricultural production activities in Egypt, as it is a major source of agricultural income and a primary source of animal protein needed to feed the population. Red meat production is of particular importance in Egypt, as it is a source of income for many rural and urban families and a primary source of animal protein needs. The sector is considered a distinct investment area on a commercial scale. Egyptian red meat production increases by approximately 1.65% and 3.11% for each 1% increase in the quantity of dry straw (per thousand tons) and the farm price (per kilogram), respectively. Meanwhile, Egyptian consumption decreases by approximately 1.03% and 1.01% for each 1% increase in imports, while production increases by approximately 0.23% over time. | ||||
Keywords | ||||
Simultaneous model; determinants of demand and supply; forecasting | ||||
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