Efficiency Estimation and Ranking of Iranian Sugar Beet Producers

Document Type : Original Article

Authors

1 MSc Student in Agricultural Economics, Ardakan University, Ardakan, Iran

2 Assistant Professor, Department of Agricultural Economics, Ardakan University, Ardakan, Iran

3 Assistant Professor, Environmental Sciences Research Institue, Shahid Beheshti University, Tehran, Iran

Abstract

Sugar beet is one of the industrial productions of agricultural sector that plays an important role in providing the required sugar inside. In the present study, the types of efficiency including technical efficiency Under Constant and Variable Return to Scale efficiency, allocative, economics, scale, and management efficiency have been calculated. In addition, Sugar beet producers were ranked using method basis application of data envelopment analysis. This research was performed using data of 13 sugar beet producing provinces in 2014 in the GAMS software. Based on the results of calculating the economic efficiency of sugar beet producers, there is a great potential for improving economic efficiency in the studied areas. The investigations of this research reflect the fact that the main factor in the difference in economic efficiency is technical efficiency and the scale efficiency is the factor of lowing in technical efficiency. Based on the cross-efficiency results West Azarbaijan, Kermanshah and Khorasan Razavi provinces have the highest and provinces of Semnan, South Khorasan and Ilam have the lowest rank. The results of the ranking also show that, among the more efficient provinces, those who have a larger share than sugar beet production have a better performance. The approach of the maximum relative distance from anti ideal decision making unit provides the most favorable outcome for the differentiation of the efficiency of decision-making units. Government support increasing and shopping law reform can reduce the risk of production and thus increase the scale of production in the cultivation of sugar beet yield.

Keywords

References

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Agricultural Economics and Development
Volume 28, Issue 3 - Serial Number 111
December 2020
Pages 125-145

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