Will more women in STEM sciences impact economic growth?
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23510%2F23%3A43972621" target="_blank" >RIV/49777513:23510/23:43972621 - isvavai.cz</a>
Result on the web
<a href="http://drive.google.com/file/d/14_dFM8pzjhSr8YqAOVRtWHDIZm9Bg5Pp/view" target="_blank" >http://drive.google.com/file/d/14_dFM8pzjhSr8YqAOVRtWHDIZm9Bg5Pp/view</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Will more women in STEM sciences impact economic growth?
Original language description
Despite the fact that on average in the EU there are 4.7% more women than men, female graduates make up around 33% in STEM (science, technology, engineering, math) majors in 2020, according to the official Eurostat database. Little research on the relationship between higher education (HE) and gross domestic product (GDP) focused on EU Member States and used various econometric models. The objective of this research is to find variables that associate with economic growth using BMA modelling and to check if they can be robustly associated with GDP. Research rationale: Developed countries may experience challenges limiting them from higher rates of economic growth, and women may often be underrepresented in certain economic activities. If in place, such a situation tends to limit the needs of the global labour market and sustainability commitments. Using available human resources efficiently may help to result in a positive impact on the EU countries’ growth rates. The research at hand aims to explore the relationship between higher education (HE) and economic growth evaluating the impact of STEM tertiary degrees. We attempted to compare male and female graduates of various higher education levels to suggest the importance of creating incentives for women to opt for STEM majors to achieve a fair balance in pay between the genders and possibly produce greater value.
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
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Opportunities and Threats to Current Business Management in Cross-border Comparison 2023
ISBN
978-3-86367-071-9
ISSN
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e-ISSN
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Number of pages
12
Pages from-to
35-46
Publisher name
GUC - Verlag der Gesellschaft für Unternehmensrechnung und Controlling m.b.H.
Place of publication
Lößnitz
Event location
Zelezna Ruda, Czech Republic
Event date
Nov 9, 2023
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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