Abstract From a theoretical perspective, it is well stated that the farm's decision on the use of inputs depends on the farmer's ability to make an efficient decision over time. The existing literature in performance analysis of the dairy farms based on static modeling and thus ignores the inter-temporal nature of production decisions. This paper aims to construct a dynamic stochastic production frontier incorporating the sluggish adjustment of inputs, to measure the performance of dairy farms in Norway. The empirical application focused on the farm-level analysis of the Norwegian dairy sector for 2000- 2018. The dynamic frontier estimated using the system Generalized Method of Moments estimator. The analysis shows that the static model in the previous studies underestimates the performance of the dairy farms.

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挪威奶牛场的表现：动态随机方法

摘要 从理论的角度来看，农场对投入物使用的决定取决于农民随着时间的推移做出有效决策的能力。现有的基于静态模型的奶牛场绩效分析文献忽略了生产决策的跨期性质。本文旨在构建一个包含投入缓慢调整的动态随机生产前沿，以衡量挪威奶牛场的绩效。实证应用侧重于 2000 年至 2018 年挪威乳制品行业的农场级分析。使用系统广义矩估计法估计动态前沿。分析表明，以往研究中的静态模型低估了奶牛场的表现。