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Abstract: Higher education (HE) is a significant factor in a country’s economic prosperity and plays a vital role in addressing sustainability issues and actively promoting sustainable development. While many EU member countries have well-developed education systems in terms of rankings and SDGs’ attainment, little is known about the progress of other European countries. The goal of this research is to estimate the efficiency of higher education in the attainment of Sustainable Development Goals (SDGs) in 40 European countries. The method used to estimate efficiency is Data Envelopment Analysis (DEA) with output-orientation and variable returns to scale approach. In the final model specification, two input variables and one output variable are used. Results indicate that the average technical efficiency of the 40 European countries is relatively high and equal to 0.94. Nine countries emerge as fully efficient in achieving SDG 4 with a coefficient equal to 1. The four largest higher education systems achieved an aboveaverage efficiency score of 0.97 or higher. Six countries are recognized as the worst performing. However, more analysis is necessary to examine the sources of inefficiency in the worst-performing countries. Due to specific data limitations indicated in this research, it remains a challenge to evaluate the precise impact of higher education and its contribution to SDGs.
Keywords: sustainable development goals (SDGs), higher education, data envelopment analysis, SDG4, European countries
Published in DKUM: 28.05.2025; Views: 0; Downloads: 2
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Abstract: This paper examines the efficiency of tourist farms in Slovenia by adopting an approach using a framework of non-parametric programming—Data Envelopment Analysis (DEA) and Analytic Hierarchy Process (AHP), combining the two because the DEA analysis by itself does not take into account all attributes, especially qualitative ones. The beforementioned two methods rank the farm tourism units with respect to their efficiency. By using the DEA method, an input- and output-oriented BCC and CCR model were introduced to upgrade the criteria by including the additional non-numerical criteria of the AHP. The results of the models showed that there are possible improvements on all levels of efficiency, as well as on the criteria of the additional offer of tourist farms, which were analyzed in the AHP model with additional criteria. According to the estimated efficiency, the ranking of tourist farms differed according to the two methods. Within the group of farms assessed as efficient by DEA, the AHP model allowed a more accurate ranking.
Keywords: farm tourism, tourist farms, efficiency, data envelopment analysis (DEA), analytic hierarchy process (AHP), Slovenia
Published in DKUM: 09.04.2024; Views: 281; Downloads: 22
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Abstract: Magistrska naloga proučuje vpliv nizkocenovnih prevoznikov na ekonomske kazalnike regij severnega jadrana. Raziskavo smo opravili na podatkih 12 letališč v Sloveniji, Hrvaški in Italiji. Raziskava je doprinos k znanosti, saj v literaturi nismo zasledili tovrstne raziskave na tem geografskem področju. Tuji avtorji navajajo, da se je s prihodom nizkocenovnih letalskih prevoznikov v odročne kraje spremenil socialno-ekonomski status v regijah. Da bi analizirali vpliv v naši okolici, smo z DEA analizo izračunali tri različne učinkovitosti izbranih letališč (učinkovitost glede števila potnikov, tehnična učinkovitost in splošna učinkovitost). Izračunani so nam pomagali v nadaljevanju, ko smo preverili, kako letališča vplivajo na svojo okolico. Poiskali smo njihove vrednosti korelacije z bruto domačim proizvodom in številom nočitev v regijah. Ugotovili smo, da je večina italijanskih letališč 100% učinkovita v vseh letih, ki smo jih analizirali, učinkovitost ostalih pa narašča skozi leta. Izstopa le domače letališče Jožeta Pučnika, ki mu splošna učinkovitost pada. Rezultati, ki so predstavljeni na koncu dela lahko letališčem pomagajo pri načrtovanju nadaljnjega dela.
Keywords: nizkocenovni letalski prevozniki, Data Envelopment Analysis (DEA), učinkovitost, letališča
Published in DKUM: 11.06.2019; Views: 1509; Downloads: 99
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Abstract: Nizkocenovni letalski prevozniki so hitro rastoča panoga letalskega prometa, ki je na novo definirala način potovanja na želene destinacije. Raziskave na področju vpliva nizkocenovnih prevoznikov na konkurenco so zelo pogoste, na področju vpliva na učinkovitost letališča pa je opazen primanjkljaj strokovne literature. V diplomskem delu bomo s pomočjo uporabe metode DEA za izračun učinkovitosti in s pomočjo uporabe linearne regresije za določanje vplivov poizkusili odgovoriti na vprašanje o vplivu nizkocenovnih prevoznikov na učinkovitost letališč. Vzorec dvanajstih letališč bo omejen na Jadransko regijo, uporabljeni pa bodo različni modeli DEA in različna časovna obdobja za natančnejšo določitev obnašanja zaradi pojava gospodarske krize. Rezultati kažejo na močan vpliv nizkocenovnih prevoznikov na učinkovitost letališč, vpliv pa je močno odvisen od nekaterih infrastrukturnih dejavnikov na letališču.
Keywords: nizkocenovni letalski prevozniki, Data Envelopment Analysis (DEA), učinkovitost, letališča
Published in DKUM: 24.09.2015; Views: 1669; Downloads: 156
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