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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&amp;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&amp;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

  • Czech description

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