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Gender wage gap, quality of earnings and gender digital divide in the European context

Author

Listed:
  • Xose Picatoste

    (University of A Coruña
    University Institute of Maritime Studies
    University Institute of Maritime Studies)

  • Anabela Mesquita

    (Instituto Superior de Contabilidade E Administração (ISCAP), Instituto Politécnico do Porto)

  • Fernando González-Laxe

    (University of A Coruña
    University Institute of Maritime Studies)

Abstract

One of the leading national and international objectives is to achieve more egalitarian societies. Avoiding gender or digital gaps are priorities generally assumed as concerns of governments and international organizations. This paper evaluates the digital gender divide in its three stages: access, use and results, relating it to gender and salary gaps in the context of the European Union. Cluster analysis was conducted to classify the countries according to their gender digital divide. The influence of age and studies level of males and females was revised. Based on the OECD and EUROSTAT data, an empirical analysis was conducted. By comparison of means, the significant variables influencing the gender digital divide were identified, probing that the educational level significantly influences it, especially in what refers to the third stage. Finally, through a regression analysis, it was proved that the influence of the insecurity and the gender wage gap goes beyond the women and affects society.

Suggested Citation

  • Xose Picatoste & Anabela Mesquita & Fernando González-Laxe, 2023. "Gender wage gap, quality of earnings and gender digital divide in the European context," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 50(2), pages 301-321, May.
  • Handle: RePEc:kap:empiri:v:50:y:2023:i:2:d:10.1007_s10663-022-09555-8
    DOI: 10.1007/s10663-022-09555-8
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    References listed on IDEAS

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    Cited by:

    1. Meng Qi & Bei Zhang & Junjie Li & Bangfan Liu, 2023. "The Three-Dimensional Analytical and Governance Logic of China’s Digital Divide Bridging Policy," Sustainability, MDPI, vol. 15(9), pages 1-24, April.
    2. Manuel Carlos Nogueira & Mara Madaleno, 2023. "New Evidence about Skill-Biased Technological Change and Gender Wage Inequality," Economies, MDPI, vol. 11(7), pages 1-22, July.

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    More about this item

    Keywords

    Gender digital divide; Wage gap; Gender gap; Female employment; Work precariousness; Digital skills;
    All these keywords.

    JEL classification:

    • J16 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Gender; Non-labor Discrimination
    • J78 - Labor and Demographic Economics - - Labor Discrimination - - - Public Policy (including comparable worth)
    • J83 - Labor and Demographic Economics - - Labor Standards - - - Workers' Rights
    • O30 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - General

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