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Automation, Digitalization, and Income Inequality in Europe

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62156489%3A43110%2F21%3A43920785" target="_blank" >RIV/62156489:43110/21:43920785 - isvavai.cz</a>

  • Result on the web

    <a href="https://doi.org/10.32065/CJEF.2021.03.01" target="_blank" >https://doi.org/10.32065/CJEF.2021.03.01</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.32065/CJEF.2021.03.01" target="_blank" >10.32065/CJEF.2021.03.01</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Automation, Digitalization, and Income Inequality in Europe

  • Original language description

    We analyze the impact of industrial robots as well as investment in computing equipment and digital technologies on different indicators of income distributions. Our data covers selected West European EU economies from 2004 to 2017. We try to shed light on the underlying dynamics of technological advances on inequality. The results suggest that robot density is associated positively with income inequality, while no robust evidence is found for the computing equipment and digital technologies. In particular, the income shares of the bottom 20 and 50 percent decreases with automation, while the income shares of the top 10 and 1 percent increases, which supports the job and wage polarization hypothesis. This is especially important for policy formulations after the pandemic, because current rapid automation efforts can potentially have significant longterm implications for the labor market.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    50206 - Finance

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2021

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Finance a úvěr-Czech Journal of Economics and Finance

  • ISSN

    0015-1920

  • e-ISSN

  • Volume of the periodical

    71

  • Issue of the periodical within the volume

    3

  • Country of publishing house

    CZ - CZECH REPUBLIC

  • Number of pages

    17

  • Pages from-to

    203-219

  • UT code for WoS article

    000735009500002

  • EID of the result in the Scopus database

    2-s2.0-85121216974