Advances and Applications in Statistics
Volume 25, Issue 2, Pages 83 - 102
(December 2011)
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A STUDY OF PUBLIC SPENDING ON HIGHER EDUCATION INSTITUTIONS IN EUROPE IN THE FRAMEWORK OF THE BOLOGNA PROCESS USING STATISTICAL FITTING WITH SPATIAL ANALYSIS
Natalia Jaria-Chacon, Pilar Aparicio-Chueca, Xavier M. Triado-Ivern and Joan Guardia-Olmos
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Abstract: Background and objective. The conventions adopted by the European Higher Education Area (EHEA) are giving way to inevitable changes with regard to costs, structures and organization in the broad context of the systems involved. With the effective enactment of the EHEA, it is productive to analyze the costs of this process of change, as well as to measure and evaluate the impact that such investments have in each of the countries. As a consequence, the goal of this study is to identify significant relationships between public spending on higher education and some economic and social variables that may lead to proposals for improvements in the system.
Method. Starting with the available data, a spatial analysis is performed with the intention of studying public spending on higher education in EHEA member countries. The macroeconomic variables utilized (for the last year) are the stoppage and inflation rates, the college-aged population, the percentage of individuals registered in the university system, the total number of graduates and the number of university professors.
Results. The analysis shows that public spending on higher education, in the form of investment, varies among European countries. The analysis allows for the identification of several groups as a function of statistically significant differences, depending on the country being examined.
Conclusions. All of the variables of the proposed model, both dependent and independent, can be associated with different groups of spatial dependence patterns. The analysis presented allows for an identification of significant spatial distribution trends in spending on higher education. |
Keywords and phrases: educational spending, higher education system, spatial analysis, territorial variability. |
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