The aim of this study was to determine the effectiveness of studies at state higher professional schools in 2004–2006 by using the DEA method and to determine the effectiveness ranking of state higher professional schools. The results show the possibilities of alternative distribution of public funds and show opportunities of reduction of all analyzed inputs. The following public higher professional schools were classified at the top of the ranking: in 2004 PWSZ w Jarosławiu (1000.0%), PWSZ w Legnicy (1000.0%), PWSZ w Nowym Targu (308.8%), in 2005 PWSZ w Legnicy (1000.0%), PWSZ w Sanoku (1000.0%), PWSZ w Jarosławiu (418.0%), in 2006 PWSZ w Jarosławiu (1000.0%), PWSZ w Legnicy (1000.0%), PWSZ w Raciborzu (202.6%).
The aim of this study was to determine the efficiency of teaching activities in public universities in 2005 using the DEA method and to determine the ranking of universities. The sample included 52 public universities. Technical efficiency coefficients CRS and VRS were 0.797 and 0.859 in 2005. The following public universities were classified at the top of the ranking: Adam Mickiewicz University of Poznań, Warsaw University, Wrocław University, Akademia Świętokrzyska w Kielcach, Kielce University of Technology, Szczecin University. The last places were Agriculture University Lublin, AGH University of Science and Technology Kraków, Jagiellonian University in Kraków, Technical University of Łódź, Technical University of Szczecin.
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 author 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 to0.968 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.
The aim of this study was to determine the effectiveness of education of the total public technical universities and its evolution over the years 2001–2005 by using the DEA and its attempt to explain the ineffectiveness of using the index Malmquista. The study posed the following specific objectives: to examine the effectiveness of technical education, the definition of output gaps, to determine the ranking universities, the calculation of the total Malmquista Productivity Index (MPI). The research shows that in the case of inefficient technical universities there is a more efficient combination of inputs analyzed. Based on the findings can be cautiously concluded that there are other options for the deployment of academic and other employee groups.
Selected biological and morphometric characters of two populations of the nonindigenous Chinese mitten crab,one from the Szczecin Lagoon (SL) and the other from San Francisco Bay (SFB),b oth sampled in autumn, were analysed. The SL crabs showed a significantly higher individual weight,l ength and carapace width. Males accounted for 55% (87 individuals) of the 179 SL crabs,an d 62.9% (90 individuals) of the SFB crabs. Statistical analysis of metric characters,expr essed as a percentage of carapace width (X2),en abled four diagnostic characters to be identified: abdomen width (X11),carapace height (X3),left claw length (X7) and carapace length (X1). These jointly explain 71.75% of the differences between the SL and SFB crabs and are indicative of the distinctness of the populations.
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