Agriculture plays an important role for Kazakhstan not only because of rural employment, but also because of the diversity it brings to its oil dependent economy. A considerable increase in grain exports was achieved during the recent years, however, there still is a large room for increasing...

The purpose of this paper is to evaluate the efficiency of the East German economy at the firm level using an unbalanced panel over the transition period 1994 to 1998. We adopt a translog stochastic frontier model to estimate technical efficiency in eastern and western Germany. The results...

The paper investigates the impact of subsidies and of para-agriculture on the technical efficiency of organic farms in Switzerland, Austria and Southern Germany. The data-set consists of bookkeeping data with 1,704 observations in the years 2003 to 2005. Technical efficiency is modelled using a...

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...

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...

Existing studies of agricultural production largely neglect technology heterogeneity. However, the assumption of homogeneous production may result in inadequate policy implications. There is a growing literature on this issue. In this paper we contribute to this literature by modelling the...

Using Stochastic Frontier Analysis (SFA), this paper centered on analysing the impact of Crop Diversification (CD) on farm level technical efficiency in Afghanistan. Data from a household level survey conducted in 2013-2004 by the Central Statistic Organization (CSO) is used in the analysis. The...