We apply dynamic data envelopment analysis (DEA) to estimate dynamic cost inefficiency for a sample of European Union (EU) large meat processing firms over the period 2005–2012 and decompose this into the contributions of technical and allocative inefficiency. The estimation of dynamic inefficiencies controls for adjustment costs associated with firms’ investments. We further contribute by measuring dynamic cost inefficiencies and their components with regard to own region group (managerial inefficiencies) and the gap between the pooled frontier and the region‐specific frontier (programme inefficiencies). Results show that technical inefficiency tends to be the largest component of cost inefficiency when both conducting the analysis for the EU as a whole and estimating a region‐specific frontier. Results suggest significant differences in cost, technical, and allocative inefficiencies between meat processing firms in eastern, western and southern EU countries. We also find that the gaps between the pooled and region‐specific frontiers tend to be small to negligible, which suggests that the main source of pooled inefficiencies are shortcomings in managerial practices rather than differences in region‐specific conditions.

中文翻译：

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欧盟肉类加工企业的动态成本低效率

我们应用动态数据包络分析（DEA）来估算2005-2012年间欧盟（EU）大型肉类加工企业样本的动态成本效率低下，并将其分解为技术和分配效率低下的贡献。动态效率低下的估计控制与公司投资相关的调整成本。我们通过测量动态成本低效率及其与本地区组（管理低效率）以及合并边界和特定区域边界（计划效率低）之间的差距所起的作用，进一步做出贡献。结果表明，在对整个欧盟进行分析并估算特定地区的前沿时，技术效率低下往往是成本效率低下的最大组成部分。结果表明，成本存在明显差异，欧盟东部，西部和南部国家的肉类加工企业之间的技术和分配效率低下。我们还发现，合并边界和特定区域边界之间的差距往往很小甚至可以忽略，这表明合并效率低下的主要根源是管理实践的缺陷，而不是特定区域条件的差异。