This article examines the presence of spatial spillovers in farms’ dynamic technical inefficiency scores using Data Envelopment Analysis and a second‐stage spatial truncated bootstrap regression model. Dynamic inefficiency is measured in terms of variable input contraction and gross investment expansion, while the second‐stage model allows an individual’s dynamic inefficiency to be influenced by both own and neighbours’ characteristics. The empirical application focuses on the panel data of specialised Dutch dairy farms observed over the period 2009–2016 and for which exact geographical coordinates of latitude and longitude are available. The results confirm the existence of spatial spillovers in farmers’ dynamic technical inefficiency levels. Although changes in neighbours’ subsidies do not significantly influence an individual’s inefficiency, an increase in neighbours’ age reduces an individual’s performance, while an increase in neighbours’ levels of intensification improves an individual’s dynamic efficiency.

中文翻译：

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荷兰奶业的动态效率低下和空间溢出

本文使用数据包络分析和第二阶段的空间截断自举回归模型研究了农场动态技术效率低下分数中空间溢出的存在。动态效率低下是根据可变的投入收缩和总投资扩张来衡量的，而第二阶段模型允许个人的动态效率低下受到自身和邻居特征的影响。该经验应用的重点是在2009-2016年期间观察到的荷兰专业奶牛场的面板数据，并且可以获得确切的经纬度地理坐标。结果证实了农民动态技术效率低下的空间溢出效应。尽管邻居补贴的变化不会显着影响个人的低效率，