Estimating the technical and economic efficiency of tomato crop farms in Samarra district for the production season 2022

Authors

  • Manar Hamad Tikrit University, Tikrit , Iraq Author

Keywords:

Estimating, technical, economic efficiency

Abstract

The aim of the research is to estimate the technical, specialized and economic efficiency of the tomato crop in Salah al-Din Governorate according to the data envelope analysis (DEA) method. (100) farms using modern irrigation techniques (drip), the program (Deap) to analyze efficiency according to the method of the data envelope, and the study relied on the descriptive and quantitative analysis that is based on the foundations, principles and concepts of economic theory in achieving the objectives of the research through the application of the data envelope analysis method DEA And in two ways, according to the concept of stability and change of return to capacity, which allows estimating technical efficiency and capacity efficiency, and using the same method, specialized efficiency and economic efficiency were extracted, and the results of the efficiency analysis were reached according to the data envelope of the production and cost functions with the stability and change of capacity returns. The percentage of the average technical efficiency was (77%). As for the technical efficiency in light of the change in the return on capacity, the percentage of the average technical efficiency was (93%). Depending on the cost function variables, the results showed that the number of farms that achieved price efficiency (AE) at the level of (100%) are (4) farmers, and the average rate of economic efficiency (EE) was ((69%). The study concluded that the tomato growers by drip irrigation method do not achieve reaching the optimal size of production, and this means that there is a deviation from the optimal size of the crops of the study sample, and in the light of The results that were reached, the study recommended to take advantage of the efficiency indicators obtained through the data envelope model

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Published

2023-06-15