The economic impacts of drought mitigation mechanisms in the Northwestern coast of Egypt

Abstract EN

The crop pattern is one of the most important mechanisms for drought mitigation and limitation of its economic and social effects.

therefore, using the linear programming model is an excellent option in order to identify the optimal crop pattern for the Northwestern Coast in general and in particular for Matrouh Governorate, where irrigation water scarcity is dominant, and maximizing the revenues from crops.

results indicated that : 1.

the proposed cropping pattern under conditions of irrigation water scarcity led to a decrease in the required amount of irrigation water for the proposed agricultural pattern by 5.94 million m², to achieve a total return estimated at 1270.48 million Egyptian pounds using 2157 thousand agricultural manpower unit in the productivity process.

2.

the proposed cropping pattern, in light of the objective of maximizing the revenue of crops, achieves an increase in revenue by 55.98 million LE and requires 450.95 million m³ of irrigation water, and each needs 2157 thousand agricultural manpower unit.

assuming the most appropriate cropping pattern scenarios when drought occurs, it was found that : 1.

the proposed cropping pattern in light of the objective of maximizing the revenue of crops and assuming a shortage of water resources by 10%, achieves an increase in revenue by 55.94 million LE, and it needs 405.85 million cubic meters of irrigation water, and 2157 thousand agricultural manpower unit in the productivity process 2.

the proposed cropping pattern in light of the objective of maximizing the revenue of crops and assuming a shortage of water resources by 20%, achieves an increase in revenue by 55.81 million LE and requires 360.76 million m³ of irrigation water, and 2157 thousand agricultural manpower unit.

the study recommends reconsidering the cropping pattern of Matrouh Governorate according to the proposed scenarios under the drought disaster existence that the study dealt with.