Investigation DEA (Data Envelopment Analysis) Window application in the management processes of agricultural water consumptions (case study: Khozestan province)

Document Type : Research Paper

Authors

1 Assistant Professor,Departments of Mathematics, Sosangerd Branch,Islamic Azad University, Sosangerd, Iran.

2 Postdoctoral graduate of Water Resources, Khozestan Water and Power Organization.

Abstract

Nowadays, water, alongside soil and air, is considered as one of the three key factors of environment formation and survival, more than ever before. Protection, conservation, and fair and optimal utilization of water resources are global issues. Improving water resources management is a crucial and effective step in optimizing water consumption and increasing efficiency in irrigation and agricultural production. Considering that the agricultural sector in Iran is based on exploitation systems, assessing the performance and analyzing the efficiency of these systems is crucial for identifying strengths and weaknesses, optimizing resource utilization, and preventing resource wastage. Therefore, in the current study, ten types of active exploitation systems within the irrigation networks of Khuzestan during the agricultural seasons of 2015-2022 have been evaluated using Data Envelopment Analysis (DEA) window method. The DEA window method is a technique that enables evaluation over time. Based on the obtained results, the exploitation system in the Nahieh Shomal operated by irrigation and drainage exploitation companies exhibits the highest average efficiency, recording a value of 0.971. The exploitation system operated by the Mehr Omidgaran Ghaleh Madreseh, one of production cooperatives, demonstrates the lowest average efficiency at 0.423. Conversely, the average efficiency of the exploitation systems Ferdos and Keshtgaran showed a decreasing trend each year.

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Articles in Press, Accepted Manuscript
Available Online from 29 October 2024
  • Receive Date: 19 April 2024
  • Revise Date: 17 September 2024
  • Accept Date: 29 October 2024
  • Publish Date: 29 October 2024