Maya Al-Abdala* (1), Safwan Aboassaf (1), and Afraa Sallowm(2)
(1). General Commission for Scientific Agricultural Research (GCSAR), Syria
(2). Faculty of agriculture, department of agricultural economics, Damascus University, Syria
(*Corresponding author: Dr. Maya al-abdala: mayaabdala6@gmail.com)
Received: 6/ 12/ 2023 Accepted: 9/ 3 /2024
Abstract
The research aims to determine the optimum-cropping pattern that maximizes the net unit return in the case of increasing the cultivated area, which is represented by agricultural lands that are not invested by farmers and are arable in Swaida governorate/Syria by using Linear Mathematical Programming. Through a questionnaire targeting 106 farmers during the 2020 agricultural season. The results after solution of the proposed linear programming model showed: An increase in the actual cultivated area by 21.14% an area estimated at 1715.7 Dunums. As a result, the total net return of the proposed alternative increased by 111.75% over the net return of the actual cropping, as the total achieved revenue amounted to about 611.46 million SP, compared to 288.76 million SP net return actual cropping. The study recommends the need to use the linear programming technique, as one of the quantitative research methods in management, which achieves the case for the optimal use of economic resources.
Keywords: Linear Programming. Optimal Cropping. Maximization. Net Return. Constraints.
Full paper in English: PDF