An Econometric estimation of the determinants of red meat consumption in Egypt | ||||
| Journal of Sustainable Agricultural Sciences | ||||
| Volume 49, Issue 4, December 2023, Page 491-500 PDF (1.9 MB) | ||||
| Document Type: Original Article | ||||
| DOI: 10.21608/jsas.2023.212020.1414 | ||||
 View on SCiNiTO | ||||
| Authors | ||||
rabab raafat abd el-fatah  1; Mourad Moussa2; Fatheya Radwan2; Elsayed Mohamed Atallah3
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| 1economic department,faculty of agriculture,kafr el-sheikh university,kafr el-sheikh | ||||
| 2KFS | ||||
| 3کلية الزراعة جامعة دمياط | ||||
| Abstract | ||||
| The main purpose of the study is the econometric estimation of the determinants of red meat consumption in Egypt. To achieve the study purpose, the ordinary least square model (OLS), the error correction model (ECM) as well as the autoregressive distributed lag model (ARDL) were utilized. The most important results of the study can be summarized as follows: * The long-term relationship was found that a relative increase in the quantity of red meat imports and the price of white meat by 10% would lead to a relative increase in the quantity consumed by 2.70% and 7.2% for each of them, respectively, while a relative increase in the price of red meat by 10% will lead to a relative decrease in the quantity consumed by 7.0%. * The results of (ECM) indicate that an increase in the price of red meat by 10% will lead to a relative decrease in the amount consumed of red meat by 7.52%. It is also a relative increase in the price of white meat by about 10%, which will lead to a relative increase For the consumption of red meat by 1.40%. * The demand for red meat consumption will decline from 952 thousand tons to 903 thousand tons in light of the increase in the price of red meat by 1%, and an expected decrease of 49 thousand tons, while it will rise to 954 thousand tons in light of the high price of white meat. | ||||
| Keywords | ||||
| Root unit stability test; Dickey-Volar test; Diagnostic tests; Determinants of red meat consumption; Autoregressive model (ARDL); Time series stability; Unrestrained error-corrected model | ||||
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