In this paper we compare two flexible estimators of technical efficiency in a cross-sectional setting: the nonparametric kernel SFA estimator of Fan, Li and Weersink (1996) to the nonparametric bias corrected DEA estimator of Kneip, Simar and Wilson (2008). We assess the finite sample...

Production analysis matters in agricultural economics because technology shapes developments in agriculture as well as in related sectors, such as the food industry. Pro- ductivity and technical efficiency (TE) are key aspects in this context. In empirical analysis, inefficiency can be...

The main objective of this study is to investigate the impact of corporate R&D activities on firm performance, measured by labour productivity. To this end, the stochastic frontier technique is used on a unique unbalanced longitudinal dataset on top European R&D investors over the period...

The vast majority of the efficiency and productivity measurement literature has been based on the static viewpoint of the firm. Few studies have developed the dynamic analog of static efficiency measurement, introducing the notions of long-run efficiency and inefficiency persistence. However,...

This study investigates the causes of declining output performance in the Ghanaian fruit pro-duction industry. Average industrial output level is lagging far behind that of competing na-tions (for instance, the productivity of Ghana pineapple farms is 60 T/Ha compared to 120 T/Ha for Cost Rica...

The purpose of this paper is two-fold. First, it compares the performance of various panel data models in estimating technical efficiency in production. Second, it applies various stochastic frontier panel data models to estimate the technical efficiency of Iran's cotton production and to...