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Digitization and Population Welfare in the New EU Member States

Author

Listed:
  • Elena PELINESCU

    (Institute of Economic Forecasting, Bucharest, Romania. Corresponding author.)

  • Marioara IORDAN

    (Institute of Economic Forecasting, Bucharest, Romania.)

  • Mihaela-Nona CHILIAN

    (Institute of Economic Forecasting, Bucharest, Romania.)

Abstract

Today we live in times of deep socio-economic transformations under the influence of digital technologies that influence both the sectors of activity and the population. Many compare the transformations of the digital age with the former industrial revolutions generated by the steam engine or electricity, considering that they provide opportunities to improve life, change the nature and structure of organizations and markets, jobs and skills, of security and social and economic interactions (OECD, 2019). The impact of digitization on society is the object of concern of both international bodies looking for instruments to measure the effects of new digital technologies, and of specialists concerned with the effects on costs, sustainability of development, competitiveness, economic growth, etc. The current study aims to highlight the influence of digitization on the welfare of population by using a panel model for 11 CEE countries (Romania, Bulgaria, Estonia, the Czech Republic, Croatia, Hungary, Latvia, Lithuania, Poland, Slovenia and Slovakia). Using data for the period 2000-2019, the results highlight, as expected, the positive influence on population welfare of digitization and human capital.

Suggested Citation

  • Elena PELINESCU & Marioara IORDAN & Mihaela-Nona CHILIAN, 2021. "Digitization and Population Welfare in the New EU Member States," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(4), pages 59-75, December.
    • Handle: RePEc:rjr:romjef:v::y:2021:i:4:p:59-75
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    2. Gheorghe Hurduzeu & Iulia Lupu & Radu Lupu & Radu Ion Filip, 2022. "The Interplay between Digitalization and Competitiveness: Evidence from European Countries," Societies, MDPI, vol. 12(6), pages 1-12, November.

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    More about this item

    Keywords

    digitization; digital gaps; population welfare; panel models; Central and Eastern European countries;
    All these keywords.

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • I25 - Health, Education, and Welfare - - Education - - - Education and Economic Development
    • I31 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - General Welfare, Well-Being
    • O57 - Economic Development, Innovation, Technological Change, and Growth - - Economywide Country Studies - - - Comparative Studies of Countries

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