Applying Goal Programming Model and Data Envelopment Analysis to Enhance Sustainable Agricultural Efficiency

Authors

  • Ibrahim Zeghaiton Chaloob Collage of Business Administrations and Financial Sciences, Al-Esra’a University. Baghdad, Iraq
  • Jehan Saleh Ahmed Department of Business Administration, Collage of Administration Sciences and Financial, Fallujah University, Anbar 31002, Iraq
  • Moudher Kh. Abdal-hammed Department of Public Administration, College of Administration and Economics, Tikrit University, Tikrit, Iraq.
  • Evan Nadhim Queensland University Of Technology

DOI:

https://doi.org/10.19139/soic-2310-5070-3310

Keywords:

Sustainable Agriculture, Goal Programming, Data Envelopment Analysis, Multi-objective Optimisation, Agricultural Efficiency

Abstract

Optimising resource use for efficiency enhancement can be achieved by balancing multiple objectives/goals (i.e., economic, environmental, and social) that serve sustainable agriculture. Integrating a hybrid model of Goal Programming (GP) and Data Envelopment Analysis (DEA) proposed in this paper improves decision-making in agriculture. This model has addressed the complexities of multiple objective goals in sustainable agriculture. As a case study, the empirical results of such a hybrid model have enhanced the efficiency through optimising resource use by balancing the competing goals. The flexibility of this model makes it adaptable to various scenarios in the agriculture sector.

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Published

2026-03-27

Issue

Online First

Section

Research Articles

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How to Cite

Applying Goal Programming Model and Data Envelopment Analysis to Enhance Sustainable Agricultural Efficiency. (2026). Statistics, Optimization & Information Computing. https://doi.org/10.19139/soic-2310-5070-3310