Determination of technical efficiency of sugar beet growers in Khorasan Razavi using data envelopment analysis (DEA) and stochastic frontier analysis (SFA)

Document Type : Scientific - Research

Authors

1 Associate Professor of Sistan and Baluchestan University, Iran.

2 PhD student Natural Resource and Environmental Economics, Sistan and Baluchestan University, Iran

Abstract

Sugar beet is one of the most important crops in Khorasan Razavi, Iran, which plays an important role in the economy of this province. So, it seems to be important to study the efficiency of the crop. To analyze the sugar beet efficiency information, two methods including data envelopment analysis (DEA) and stochastic frontier analysis (SFA) methods were used. Required data were collected from 190 sugar beet growers in Chenaran, Neyshabour and Ghochan cities by filling questionnaire in 2011-12 growing season. The results of SFA method showed that the technical efficiencies in Chenaran, Neyshabour and Ghochan were 65, 68, and 60%, respectively. However, the results of DEA method showed that the highest technical efficiency (76%) was found in Chenaran followed by Neyshabour (61%) and Ghochan (58%). Therefore, results obtained from the both models indicate that there is a great potential for efficiency improvement in the province. Also, 73-79% of sugar beet fields were performing in ascending state. In conclusion, an increase in input consumption is a proper decision to improve both production and farmers’ income which also improves the efficiency.

Keywords

References

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Journal of Sugar Beet
Volume 31, Issue 2 - Serial Number 2
January 2016
Pages 224-211

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