塞尔维亚地区农业效率评估的两阶段DEA模型

Aleksandra Marcikić-Horvat, B. Radovanov, G. Popescu, C. Panaitescu
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引用次数: 6

摘要

由于高效的农业部门是国家经济发展的最重要驱动因素之一,本文的主要目标是使用两阶段数据包络分析来检查25个塞尔维亚地区农业生产的相对技术效率。本研究结果表明,效率得分值在70% - 100%之间,因此可以得出结论,塞尔维亚农业部门的效率水平很高,平均效率得分为90%。伏伊伏丁那的低地地区的效率得分最高,而塞尔维亚东南部地区的效率得分最低。此外,应用Tobit回归模型可以检验技术效率得分的驱动因素。结果表明,在塞尔维亚地区,农场管理人员的农业培训、土地灌溉和农场主年龄在改变农业效率方面具有重要意义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A two-stage DEA model to evaluate agricultural efficiency in case of Serbian districts
Since the efficient agricultural sector is one of the most important drivers of country’s economic development, the main objective of this paper was to examine relative technical efficiency of agricultural production in 25 Serbian districts using two-stage data envelopment analysis. Results of this research indicate that the efficiency score values lie between 70% and 100%, therefore it can be concluded that the agricultural sector of Serbia performs at a high level of efficiency, with the average efficiency score of 90%. The lowland region of Vojvodina is characterized with the highest efficiency scores, while districts in the southeastern part of Serbia have the lowest efficiency score values. Furthermore, the Tobit regression model was applied that one may examine the drivers of technical efficiency scores. The results show the significance of agricultural training among farm managers, land irrigation and age of farm holders in altering agricultural efficiency among Serbian districts.
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