المؤلفون

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الملخص

The beef breeding projects suffer from several problems that have been delayed in development, especially after the events of (2003), which led to a lack of support and interest by the state in the agricultural sector as well as high prices for production requirements such as feed, cows, oil derivatives and other problems despite the development in the country and the many The number of projects for the production of beef, and for the aforementioned it was necessary to study the economics of producing beef cattle in Iraq in order to achieve the expected goals and the desired research to obtain them, and the Ramadi district was chosen as an application model according to a questionnaire form for a random sample of beef breeders for the year (2019 ) From the working fields The aim of the study is to estimate the production function of beef breeders in Ramadi district. The results showed that the best formula for estimating the production function for beef projects was the double logarithmic formula, as it was consistent with the logic of economic theory and passed all statistical and standard tests, and from it it was found that the productive elasticity of the labor resource is positive and reached (0.177) and the capital resource is also positive and amounted to (0.815). As for the total elasticities, it was less than the correct one (0.99), which means diminishing returns to capacity (meaning that producers work in the second productive stage), and some economic derivatives of the production function were determined from them (the average production function, the marginal product function, the marginal rate of technical substitution, production elasticities, expansionary paths, and curves Equal outputAnd the optimum supply combination of labor and capital suppliers that maximizes profit was determined, so the optimum quantity of the labor resource was (4.56) hour / day, and from the capital resource (630.912) thousand dinars / day, and the optimum output level that maximizes profit was (62,567) tons / Year .



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