Integrating Data Envelopment Analysis with Goal Programming Model for Sustainable Agricultural Efficiency Enhancement

Document Type : Research Paper

Authors

1 Al-Esraa University, College of Administration and Economics, Department of Business Administration, Baghdad, 10069

2 Fallujah University ,Collage of Administration Sciences and Financial, Department of Business Administration, Anbar 31002, Iraq

Abstract
Achieving multiple-goal simultaneously can be done by optimising resources efficiently. Sustainable agriculture has several goals to accomplish, including economic, environmental, and social. Integrating Data Envelopment Analysis (DEA) with Goal Programming (GP) improves the decision-making process in sustainable agriculture. Utilising this hybrid approach can address the complexities of multiple objectives in sustainable agriculture. A case study conducted on empirical data has enhanced the efficiency through optimising resource use by balancing the competing goals. The flexibility of this approach makes it adaptable to various scenarios in the agriculture sector.

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