Determining the efficiency of broiler chicken units in Sistan region, using interval data envelopment analysis and Mont Carlo simulation approach

Q: How can I download an article?

To download an article from SID, first log in to the site, search for the article title, and click on the 'Download Article' option.

Q: How can I download an ISI article?

To download an ISI article on SID, enter the keyword or article title in the search bar, view the relevant results, click on the desired article, and select the 'Download Article' option.

Q: How can I access the SID database?

To access the SID database, visit SID.ir, create an account, and log in to access scientific resources.

Q: Is downloading articles from SID free?

Some articles on SID are available for free, while others require payment. Details are specified on the article's page.

Mardani Najafabadi Mostafa; MIRZAEI ABAS; Abdeshahi Abas; AZARM HASAN

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: Iranian Journal of Agricultural Economics and Development Research Year:2020 | Volume:51 | Issue:2 Page(s): 179-180

Download Full-Text

Persian Verion

View:

325

Download:

156

Cites:

Information Journal Paper

Title

Determining the efficiency of broiler chicken units in Sistan region, using interval data envelopment analysis and Mont Carlo simulation approach

Author(s)

Mardani Najafabadi Mostafa | MIRZAEI ABAS | Abdeshahi Abas | AZARM HASAN | Issue Writer Certificate

Keywords

Scale EfficiencyQ1

UncertaintyQ1

SistanQ2

Interval data envelopment analysisQ1

Mont Carlo simulationQ1

Abstract

Nowadays, poultry and its products are proposed as one of the main sources of protein for consumers. In this study the efficiency of broiler chicken producers in Sistan region was estimated. Because of the sensitivity of data envelopment analysis to amount of inputs and outputs, the Interval data envelopment analysis method was used to impose Uncertainty. The results showed that the average of constant return to scale interval efficiency was in the interval of (0. 158, 0. 612). The best and the weakest unit were in the interval (0. 03, 0. 08) and (0. 28, 0. 94), respectively. Considering constant return to Scale Efficiency, 10% of the units had potential efficiency. Assessment of constant return to Scale Efficiency indicated that the average, the best, and the weakest units were in the efficiency intervals of (0. 69, 0. 23), (0. 466, 1), and (0. 099, 0. 179). Variable return to Scale Efficiency showed that 25% of producers have potential efficiency. The estimated intervals revealed that by providing resources, appropriate conditions are available to increase efficiency of broiler chicken producers in Sistan region. Thus, it seems that providing the shortcomings of these units leads to enough motivation to impose ideal management. Finally, in order to assure decision-makers in using the results of the study, the validity of the model was measured using the Monte Carlo simulation method. The results of this simulation indicate the ability of the IDEA model against unreliable data.

Cites

No record.

References

No record.

Cite

APA: Copy

Mardani Najafabadi, Mostafa, MIRZAEI, ABAS, Abdeshahi, Abas, & AZARM, HASAN. (2020). Determining the efficiency of broiler chicken units in Sistan region, using interval data envelopment analysis and Mont Carlo simulation approach. IRANIAN JOURNAL OF AGRICUTURAL ECONOMICS AND DEVELOPMENT RESEARCH, 51(2 ), 179-180. SID. https://sid.ir/paper/396367/en

Vancouver: Copy

Mardani Najafabadi Mostafa, MIRZAEI ABAS, Abdeshahi Abas, AZARM HASAN. Determining the efficiency of broiler chicken units in Sistan region, using interval data envelopment analysis and Mont Carlo simulation approach. IRANIAN JOURNAL OF AGRICUTURAL ECONOMICS AND DEVELOPMENT RESEARCH[Internet]. 2020;51(2 ):179-180. Available from: https://sid.ir/paper/396367/en

IEEE: Copy

Mostafa Mardani Najafabadi, ABAS MIRZAEI, Abas Abdeshahi, and HASAN AZARM, “Determining the efficiency of broiler chicken units in Sistan region, using interval data envelopment analysis and Mont Carlo simulation approach,” IRANIAN JOURNAL OF AGRICUTURAL ECONOMICS AND DEVELOPMENT RESEARCH, vol. 51, no. 2 , pp. 179–180, 2020, [Online]. Available: https://sid.ir/paper/396367/en

Related Journal Papers