Secondary Education Efficiency in Selected Countries
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62156489%3A43110%2F22%3A43921949" target="_blank" >RIV/62156489:43110/22:43921949 - isvavai.cz</a>
Result on the web
<a href="https://mme2022.vspj.cz/proceedings" target="_blank" >https://mme2022.vspj.cz/proceedings</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Secondary Education Efficiency in Selected Countries
Original language description
At present, it is assumed that the skills of employees depend, among other things, on having a completed education. The major part of the population over the age of 15 consists of people with at least a secondary education. This article focuses on evaluating the efficiency of secondary education, which then affects the skills of the majority of employees in selected countries. The data envelopment analysis method was used to evaluate this efficiency. The compiled model is based on three input and two output variables. Inputs include public funding of secondary education, the number of teachers and the average wage. The output variables are represented by the number of young people employed and the number of students in secondary education. The radial model with variable returns to scale has been selected to calculate the efficiency score in 2018 and 2019. The empirical results show that countries such as Austria, Germany, Belgium, Portugal, Norway and Italy generally achieve the lowest efficiency values. In contrast, some economically weaker countries are achieving 100% efficiency. These countries included, for example, the Slovak Republic and Israel.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
50202 - Applied Economics, Econometrics
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Mathematical Methods in Economics 2022: Proceedings
ISBN
978-80-88064-62-6
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
336-341
Publisher name
Vysoká škola polytechnická Jihlava
Place of publication
Jihlava
Event location
Jihlava
Event date
Sep 7, 2022
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000936355000053