تعیین کارایی شبکه‌های آبیاری و زهکشی کارون بزرگ با استفاده از روش تحلیل پوششی داده‌ها با پارامترهای کنترل‌کننده‌ میزان محافظه‌کاری

نوع مقاله: مقاله پژوهشی

نویسندگان

1 استادیار گروه اقتصاد کشاورزی، دانشگاه علوم کشاورزی و منابع طبیعی خوزستان، اهواز، ایران

2 دانشیار گروه اقتصاد کشاورزی، دانشگاه علوم کشاورزی و منابع طبیعی خوزستان، اهواز، ایران

3 استادیار گروه ترویج و آموزش کشاورزی، دانشگاه علوم کشاورزی و منابع طبیعی خوزستان، اهواز، ایران

4 مربی دانشگاه فنی و حرفه ای ارومیه، ارومیه، ایران

چکیده

مطالعات نشان می‌دهد که عملکرد بسیاری از شبکه‌های آبیاری و زهکشی موجود بنا به دلایلی مانند نقص در طراحی و اجرا و نبود مدیریت مناسب، کمتر از حد انتظار است. وجود عوامل مؤثر متعدد بر عملکرد این شبکه‌ها، مسئله ارزیابی را پیچیده کرده است. یکی از روش‌های بسیار کارآمد در زمینۀ ارزیابی کارایی، روش تحلیل پوششی داده‌هاست. البته فرض دقیق و معین بودن داده‌های مورد استفاده در این روش، باعث ایجاد محدودیت‌هایی در استفاده از آن می‌شود. از این‌رو، در مطالعۀ حاضر برای تعیین کارایی فنی، کارایی مقیاس و کارایی فنی خالص در چهار شبکه آبیاری و زهکشی کارون بزرگ با در نظر گرفتن مسئلۀ عدم حتمیت در داده‌ها، از روش تحلیل پوششی داده‌ها با پارامترهای کنترل‌کنندۀ میزان محافظه‌کاریاستفاده شد. نتایج بررسی­ها نشان می­دهد که در سطح احتمال 50 درصد انحراف از محدودیت، شبکۀ آبیاری و زهکشی گتوند و شمال شرق اهواز به­ترتیب با میانگین 1 و 52/0 امتیاز، بیشترین و کمترین کارایی را دارند. بررسی علل ناکارایی در شبکه‌ها نشان می­دهد که هزینه‌های پرسنلی و تعمیر و نگهداری بیشترین تأثیر را بر این امر داشته به­نحوی که درصد اختلاف میان مقدار واقعی و مطلوب این دو نهاده  به‌ترتیب 48 و 41 درصد است. برای اطمینان خاطر تصمیم‌گیرندگان در به­کارگیری نتایج حاصل از مطالعه، با استفاده از شبیه‌سازی مونت‌کارلو، اعتبار روش مذکور سنجیده شد. نتایج به­دست ­آمده بیانگر توانمندی مدل تحلیل پوششی داده‌ها با پارامترهای کنترل‌کنندۀ میزان محافظه‌کاری در مقابل داده‌های نامطمئن است.

کلیدواژه‌ها


عنوان مقاله [English]

Determining the efficiency of Great Karun irrigation and drainage networks using data envelopment analysis method with conservatism control parameters

نویسندگان [English]

  • Mostafa Mardani Najafabadi 1
  • Abas Abdeshahi 2
  • Masoumeh Forouzani 3
  • Monireh Zeinali 4
1 Department of Agricultural Economics, Khuzestan Agriculture Sciences and Natural Resources University, Mollasani, Ahvaz, Iran.
2 Department of Agricultural Economics, Khuzestan Agriculture Sciences and Natural Resources University, Mollasani, Ahvaz, Iran.
3 Department of Agricultural Extension and Education, Khuzestan Agricultural Sciences and Natural Resources University, Mollasani, Ahvaz, Iran.
4 Urmia Technical and Vocational School
چکیده [English]

Different studies show that the performances of many irrigation and drainage networks are less than what expected due to design and implementation defects and lack of proper management. On the other hand, the existence of several effective factors in the performances of these networks has made their evaluation as a complicated issue. Data Envelopment Analysis (DEA) is one of the most effective methods to evaluate efficiency. Of course, the precise and accuracy assumption of the data has restricted the use of this model. Therefore, in this study, Data Envelopment Analysis with conservative control parameters (RDEA) were used to determine the technical, scale, and pure technical efficiency of 4 irrigation and drainage networks of Great Karun with considering the uncertainty problem in the data. The results showed that at the level of 50% probability of deviation, Gotvand and Northwest Ahwaz irrigation and drainage network with the mean score of 1 and 0.52 have the highest and lowest efficiency, respectively. Investigating the causes of inefficiencies in the networks showed that personnel costs and maintenance cost had the highest impact on this way, so that the difference between actual use and the optimal level of these two inputs are 48% and 41% respectively. Finally, to validate decision makers in using the results, validation of the method was performed by Monte Carlo simulation. The results of this simulation indicated the ability of the RDEA model against uncertain data.

کلیدواژه‌ها [English]

  • Monte Carlo Simulation
  • Performance Evaluation
  • Robust Data Envelopment Analysis
  • Uncertainty

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