Department of Agricultural Economics, Faculty of Agriculture, Ataturk University, Erzurum, Turkey.
J Sci Food Agric. 2010 Jul;90(9):1508-12. doi: 10.1002/jsfa.3975.
The main purpose of this study was to examine the technical efficiency of farms producing sunflower in Erzurum, Turkey and to identify factors that might be causing inefficiency. Stochastic frontier analysis was used to measure technical efficiency. One hundred and seventeen randomly selected farms were interviewed for farm-level data in the 2004-2005 production period.
Results revealed that the mean technical efficiency for the sunflower farms, estimated by the stochastic production frontier, is 64%. At full technical efficiency, on average, the farmers could reduce their inputs by around 56% without reducing their sunflower production, simply by improving technical efficiency. In the inefficiency model the parameter estimates showed that older farmers, higher level of farmer's education, more experienced farmers, larger farm size and higher information score resulted in lower technical inefficiency, while bigger family size and more credit usage resulted in higher technical inefficiency.
This study proposes strategies such as providing better extension services and farmer-training programmes, including more educated people in sunflower farming and also expanding the sunflower-growing area through provision of adequate facilities in order to increase technical efficiency.
本研究的主要目的是检验土耳其埃尔祖鲁姆生产向日葵的农场的技术效率，并确定可能导致效率低下的因素。使用随机前沿分析来衡量技术效率。在 2004-2005 年的生产期间，随机选择了 117 个农场进行农场层面的数据访谈。
结果表明，通过随机生产前沿估计，向日葵农场的平均技术效率为 64%。在完全技术效率下，农民平均可以减少约 56%的投入，而不会降低向日葵的产量，只需提高技术效率。在无效率模型中，参数估计表明，年龄较大的农民、较高的农民教育水平、经验更丰富的农民、更大的农场规模和更高的信息得分导致较低的技术无效率，而更大的家庭规模和更多的信贷使用导致更高的技术无效率。
本研究提出了一些策略，例如提供更好的推广服务和农民培训计划，包括在向日葵种植中增加更多受过教育的人，并通过提供充足的设施扩大向日葵种植面积，以提高技术效率。
