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EN
The aim of this study was to examine the technical efficiency of agriculture by identifying the coefficients of technical efficiency, development of agricultural efficiency ranking using DEA superefficiency method, an attempt to clarify the efficiency of agriculture by using an index of Malmquist total factor productivity (TFP) and to determine the efficiency of agriculture by the SFA for each year of the period audited . We analyzed the results of agriculture presented by the provincial structure. The value of the average DEA technical efficiency ratios in individual years ranged from 99.3% to 100.0% and the index value of the total Malmquist productivity in 1998-2009 was 9.4%, while its growth was the impact of technological change index (9.4%) per year. Calculations of coefficients of efficiency made by using BC1 and BC2 models of stochastic frontier functions (SFA) confirmed high efficiency of Polish agriculture in the analyzed period. In the case of BC1 model , it ranged from 86.7% (2002) to 100% (2006, 2007). Solutions BC2 model provided slightlylower results compared with the results of BC1 model . Efficiency coefficients in this model ranged from 86.3% (2001) to 99.8 (1998). Efficiency coefficients calculated at the time the SFA show steady growth. In the BC1 model in 1998 efficiency ratio was 45.0% and in 2009 reached 78.4%, while in the BC2 model efficiency coefficients were 52.2% in 1998 and 96.9% in 2009.
EN
The main purpose of the study was to define the level of education efficiency in state agricultural universities in 2001-2005 by using the DEA method. The authors attempted to explain the inefficiency by employing the super DEA method and DEA-based Malmquist productivity index measures. In the paper the following detailed targets were set: - to analyse technical efficiency level of education; - to define production gap; - to establish a ranking of universities, - to calculate DEA-based Malmquist productivity total index measure. The sample covers 8 State universities: University of Technology and Agriculture in Bydgoszcz, Krakow Agricultural University, University of Agriculture in Lublin, University of Agriculture in Poznan, University of Agriculture in Siedlce (Podlaski University of Agriculture), University of Agriculture in Szczecin, University of Agriculture in Wroclaw, and Warsaw University of Life Sciences (SGGW). The value of relative efficiency ranged from 0.950 and 0.991 while the scale efficiency ranged from 0.943 to 0.968 in 2001-2005. Analysis shows that in the case of inefficient agricultural universities it is possible to combine analysed inputs more effectively and - consequently - to allocate public funding in education in a better way.
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