The research aims to assess and analyze the factors affecting the production and grain yields in Iraq during the period (1985-2008). I have used in the analysis method of least squares two-stage and has adopted the productivity of these grains selected as variable supported and the factors affecting them are: (per hectare of agricultural work, mechanical technology, chemical technology, Nominal Protection Coefficient, the domestic price for the year previous climatic variables, agricultural education, the proportion of spending on research and development), for the first phase of the analysis, and production variable is supported in the second stage and the factors affecting it are: (cultivated area, the volume of domestic demand, the degree of exposure agricultural world price, size of agricultural loans, estimated useful), has been used model measuring Two versions are linear and logarithmic and double where it relied on the concepts of economic theory and previous studies on the assessment and analysis of the factors affecting the production and productivity of grain crops which have been obtained from the time series data they reflect the factors affecting them all crops selected.
The research seeks to measure the technical, allocative and economic efficiency of the fields of breeding and fattening calves, and to determine the amount of resources that achieve the economic efficiency of the fields of specialized breeding and fattening calves, and then to estimate the surplus and deficit in both the quantity of concentrated, rough and green fodder, the value of veterinary medicines and the numbers of human labor force for one season. Technical efficiency according to the production function that the technical efficiency of the research sample fields reached an average of 90%, according to the cost function. The surplus percentage amounted to 47.8%, 3.77%, 16.14%, 3.03%, 55.64 and 61.05%, in the economic resources it amounted to each of the quantity of concentrated, rough and green fodder, the value of veterinary medicines and the number of human labor force for one season.
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