Decomposition of Productivity Growth Using Distance Functions: The Case of Dairy Farms in Three European Countries
用产出距离函数将全要素生产率增长分解为技术变化、技术效率、配置效率和规模成分，并基于1991-94年德国、荷兰和波兰奶牛场面板数据估计随机超越对数距离函数，发现德国和波兰的生产率变化主要由技术变化驱动，而荷兰受配置效率影响。
Abstract Within an output distance function framework, the Total Factor Productivity growth index is decomposed into four components (technical change, technical and allocative efficiency, and scale component). We estimate stochastic translog output distance functions using panel data from dairy farms over the period 1991–94 for three European countries (Germany, the Netherlands, and Poland). Results indicate that the change in the productivity growth index in Germany (+6%) and Poland (−5%) are mainly dictated by the technical change component. In contrast, the productivity growth index in the Netherlands (+3%) is influenced by allocative efficiency components.