The aim of the research was the measure of agriculture technical efficiency in the European Union countries and the find level of differences in this efficiency over the analysed years. This study used the DEA (Data Envelopment Analysis) method and BCC input-oriented model with variable returns to scale. The results has shown that in analysed period efficiency indicators increased. However, the difference in the average level of efficiency between "old" and "new" EU member countries has decreased. Studies have also shown that the difference between the agricultural efficiency in Poland and the average EU efficiency increased.
Artur Grabowski: Wolność prowadzenia działalności gospodarczej w obszarze sportu profesjonalnego / Freedom of business activity in the area of professional sport .
The purpose of this study was to compare alternative method of Total-Factor Productivity (TFP) Measurement in agriculture activity (farming). The TFP index calculation period covering 2011-2013. The data cover the period from 2011 to 2013. The research focus on comparative analysis of Malmquist, Hicks-Moorsteen and Färe-Primont model. The researches provides a regional analysis of the study. The results show that there is differences in productivity levels and dynamic of the trend, depending on the model chosen. This analysis suggests that selecting models and variables requires deeper analysis.
Purpose – The conducted research aimed at estimating the technical efficiency of didactic activity in the group of universities of technology in Poland using the non-parametric Data Envelopment Analysis (DEA) method.
Research methodology – The measurement was based on the model of directional distance function with undesirable output under variable return-to-scale and output-oriented (DDF BadOutput-V-O).
Findings – The research allowed to group universities in 2010 and 2015 into three categories, i.e. efficient universities and universities above and below the average efficiency. It has been shown that it is justified to use alternative models of efficiency measurement covering different perspectives. The application of the model from a financial and employment perspective showed significant differences in performance levels in some cases.
Research limitations – This study only looks at universities of technology, so the future study should be extended to other universities and compare efficiency of higher education with the level of study effectiveness (dropout rate education, graduation rates).
Practical implications – The use of the DDF model with undesirable output allowed to obtain results closer to the actual conditions of teaching in public universities than in the case of using classic DEA models, wich only take the desired output into accoount.
Originality/Value – The originality of the work lies in the use of a more general and flexible DDF approach than the classical DEA models, which made it possible to estimate the efficiency of universities taking into account the desirable (positive) and undesirable (negative) output.
The study attempts to assess the technical efficiency of agriculture in European Union countries. Two methods were used for this purpose. One was to establish a ranking and separate typological groups of countries similar to each other in terms of technical efficiency of agriculture, using the Hellwig’s taxonomic measure of development. The second one concerned the measurement of technical efficiency of EU countries using the DEA (Data Envelopment Analysis) method. A set of 6 variables determining the technology of agricultural activity was adopted for the model. The model assuming the variable effects of the BCC scale was adopted for the study. Based on the variables adopted for the DEA model,
a set of diagnostic indicators was defined, which finally included 5 indicators. Based on these indicators, by means of a linear ordering method based on a synthetic variable, countries were grouped into 4 groups bringing together countries from the lowest to the highest efficiency. The results of both methods overlap in the part concerning the countries with the best efficiency. In other groups there are slight
discrepancies that may result from limited access to information and selection of variables for research.
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