Appraisal of Scientific Research in European Countries. An Entropy-Based Analysis

Florentin Şerban (), Anca-Teodora Şerban-Oprescu () and George-Laurenţiu Şerban-Oprescu ()
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Florentin Şerban: Department of Applied Mathematics The Bucharest Academy of Economic Studies Doctoral School of Mathematics, University of Bucharest
Anca-Teodora Şerban-Oprescu: Department of Modern Languages and Business Communication The Bucharest University of Economic Studies
George-Laurenţiu Şerban-Oprescu: Department of Economic Doctrines and Communication The Bucharest University of Economic Studies

ECONOMIC COMPUTATION AND ECONOMIC CYBERNETICS STUDIES AND RESEARCH, 2017, vol. 51, issue 1, 103-116

Abstract: In this paper, we put forward an efficient approach based on entropy measures to assess academic performance, by using the values of some relevant indicators provided for the 28 EU countries. The concept of entropy has been frequently utilized to evaluate the quantity and influence of information offered by the data under analysis. The methodology is based on the construction of a composite indicator, represented by the weighted sum of the indicators taken into account. The weights assigned to the indicators selected to perform the analysis stand as measure of significance for each factor involved in the construction of the composite indicator. The results obtained using the present methodology are very similar to official international rankings, confirming the reliability and accuracy of this approach. In terms of economic insight, we compute an efficiency index as the ratio of the outcome value obtained and the mean value for the corresponding 10 years’ time span of Research and Development (R&D) expenditure in Higher Education sector for every country. The results obtained using this approach reveal that some countries with lower research score succeed to publish papers at much lower costs than developed countries in R&D sector

Keywords: entropy; indicator; scientific research; comprehensive assessment. (search for similar items in EconPapers)
JEL-codes: C10 C63 I23 (search for similar items in EconPapers)
Date: 2017
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