An Econometric Model for Demand and Supply the Fava Bean Crop in Egypt نموذج قياسي لطلب وعرض محصول الفول البلدي في مصر | ||
| المجلة المصرية للاقتصاد الزراعي | ||
| Volume 33, Issue 1, March 2023, Pages 263-283 PDF (662.93 K) | ||
| Document Type: أبحاث علمیة متخصصة فی الاقتصاد الزراعی | ||
| DOI: 10.21608/meae.2023.175055.1122 | ||
| Authors | ||
| Rehab Ibrahim Abdelgawad Mohamed* 1; Abdallah Mahmoud Abdelmaqsoud2; Mohamed Osman AbdelFatah1 | ||
| 1Department of Agricultural Economics, Faculty of Agriculture, Ain Shams University, Cairo, Egypt. | ||
| 2Department of Agricultural Economics, Faculty of Agriculture, Ain Shams University, Cairo, Egypt | ||
| Abstract | ||
| The research aimed to identify the current and future state of the economics of the fava bean crop fava with the aim of reducing the gap between production and consumption through the study of productive, consumer, export and import conditions, and the study relied on the use of the two methods of descriptive statistical analysis represented by averages and percentages, and the quantitative method of estimating trends The general time of the variables under study, and the use of the following model to identify the most important determinants of the food gap of the fava bean crop in Egypt fava using the STATA program and use it in predicting the behavior of the study variables. The results of the study using general time trends showed that the area is taking a decreasing trend estimated at about 12.06 thousand acres representing 7.2%, and that production is taking a decreasing trend estimated at about 15.80 thousand tons, representing about 6.9%, and the analysis also showed that the food gap is taking an increasing trend estimated at about 26.30 thousand tons representing 6.2%, and that the retail price in real prices is taking an increasing trend estimated at about 365.7 pounds per ton, representing about 6.2%, and that The price of the farmer in real prices is taking an increasing general trend estimated at about 79.3 pounds per ton, representing 24.4%, and the results showed that the costs in real prices increased by 100.3 pounds per acre, representing about 4.9%. | ||
| Keywords | ||
| Econometric Model; Simultaneous Equations Models; Forecasting | ||
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