Dieses Discussion Paper beschäftigt sich mit der Analyse der technischen und Skaleneffizienz russischer Agrarunternehmen im Transformationsprozess. Insbesondere wird hierbei der Einfluss der Faktoren Betriebsgröße, Rechtsform und Spezialisierung auf die Effizienz untersucht. Um die...

In diesem Paper werden die Effizienz und totale Faktorproduktivität (TFP) der ukrainischen landwirtschaftlichen Unternehmen im Zuge des Transformationsprozesses in die Marktwirtschaft betrachtet. Dabei werden die Effizienzen mittels der Data Envelopment Analysis analysiert und die Änderungen...

Die Data Envelopment Analysis (DEA) ist eine relativ neue Methodik zur Messung der technischen Effizienz. Definiert man technische Effizienz einer Organisationseinheit (Decision Making Unit - DMU) als Verhältnis der produzierten Güter und Dienstleistungen (Outputs) zu den eingesetzten...

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...

Simar and Wilson (J. Econometrics, 2007) provided a statistical model that can rationalize two-stage estimation of technical efficiency in nonparametric settings. Two-stage estimation has been widely used, but requires a strong assumption: the second-stage environmental variables cannot affect...

The issue of quality and its relationship with efficiency and performance is a crucial operational issue in many fields of study including production economics, operations research, engineering and business management. In this paper we provide a methodology for identifying latent quality...

We propose a two-stage procedure for finding realistic benchmarks for nonparametric efficiency analysis. On the first stage the efficient DMUs are figured out by a free disposal hull approach. These benchmarks are directly targeted by directional distance functions and the extent of inefficiency...

When analyzing what determines the efficiency of production, regressing efficiency scores estimated by DEA on explanatory variables has much intuitive appeal. Simar and Wilson (2007) show that this nai͏̈ve two-stage estimation procedure suffers from severe flaws, that render its results, and...

This paper explores the consequences for parametric and non-parametric efficiency levels and rankings when using grouped instead of individual Decision Making Units (DMU). The bias results due to the differences of the grouped DMUs frontier compared to the individual DMUs frontier. Monte Carlo...

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...