Total Factor Productivity in the EU - Direct and Indirect Impact of Labor Market Institutions
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14560%2F20%3A00115762" target="_blank" >RIV/00216224:14560/20:00115762 - isvavai.cz</a>
Result on the web
<a href="https://uni.uhk.cz/hed/site/assets/files/1074/proceedings_2020_1.pdf" target="_blank" >https://uni.uhk.cz/hed/site/assets/files/1074/proceedings_2020_1.pdf</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.36689/uhk/hed/2020-01-030" target="_blank" >10.36689/uhk/hed/2020-01-030</a>
Alternative languages
Result language
angličtina
Original language name
Total Factor Productivity in the EU - Direct and Indirect Impact of Labor Market Institutions
Original language description
Total factor productivity is an essential determinant of long-run growth. Given the dissatisfactory evolution of TFP in member states of the EU, determination of key factors of productivity growth is essential for better economic performance of member states. The goal of the paper is to quantify direct and indirect impact of labor market institutions and knowledge on total factor productivity growth in member states of the European Union with emphasis on their interactions. By means of least square dummy variables panel data regression, the impact of R&D, human capital and five institutions on total factor productivity growth is estimated. Empirical analysis is conducted on dataset covering observations for 28 member states over 1998-2016. Regression results approve the theoretically expected productivity enhancing effect of knowledge and indicate significantly negative impact of labor market institutions on TFP growth. Besides direct effects, labor market institutions negatively influence productivity growth via their impact on human capital and R&D. Therefore, policy measures that support knowledge accumulation and reform current institutional set up on labor markets are essential for boosting productivity growth in the EU.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
—
OECD FORD branch
50202 - Applied Economics, Econometrics
Result continuities
Project
—
Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the international scientific conference Hradec Economic Days 2020
ISBN
9788074357763
ISSN
2464-6059
e-ISSN
2464-6067
Number of pages
10
Pages from-to
265-274
Publisher name
University of Hradec Kralove
Place of publication
Hradec Králové
Event location
Hradec Králové
Event date
Jan 1, 2020
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000568108700029